{
    "info": {
        "author": "Oleg S\u00e9mery",
        "author_email": "osemery@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Image Recognition"
        ],
        "description": "# Computer vision models on Chainer\n\n[![PyPI](https://img.shields.io/pypi/v/chainercv2.svg)](https://pypi.python.org/pypi/chainercv2)\n[![Downloads](https://pepy.tech/badge/chainercv2)](https://pepy.tech/project/chainercv2)\n\nThis is a collection of image classification and segmentation models. Many of them are pretrained on\n[ImageNet-1K](http://www.image-net.org), [CIFAR-10/100](https://www.cs.toronto.edu/~kriz/cifar.html),\n[SVHN](http://ufldl.stanford.edu/housenumbers), [CUB-200-2011](http://www.vision.caltech.edu/visipedia/CUB-200-2011.html),\n[Pascal VOC2012](http://host.robots.ox.ac.uk/pascal/VOC/voc2012), [ADE20K](http://groups.csail.mit.edu/vision/datasets/ADE20K),\n[Cityscapes](https://www.cityscapes-dataset.com), and [COCO](http://cocodataset.org) datasets and loaded automatically\nduring use. All pretrained models require the same ordinary normalization. Scripts for training/evaluating/converting\nmodels are in the [`imgclsmob`](https://github.com/osmr/imgclsmob) repo.\n\n## List of implemented models\n\n- AlexNet (['One weird trick for parallelizing convolutional neural networks'](https://arxiv.org/abs/1404.5997))\n- ZFNet (['Visualizing and Understanding Convolutional Networks'](https://arxiv.org/abs/1311.2901))\n- VGG/BN-VGG (['Very Deep Convolutional Networks for Large-Scale Image Recognition'](https://arxiv.org/abs/1409.1556))\n- BN-Inception (['Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift'](https://arxiv.org/abs/1502.03167))\n- ResNet (['Deep Residual Learning for Image Recognition'](https://arxiv.org/abs/1512.03385))\n- PreResNet (['Identity Mappings in Deep Residual Networks'](https://arxiv.org/abs/1603.05027))\n- ResNeXt (['Aggregated Residual Transformations for Deep Neural Networks'](http://arxiv.org/abs/1611.05431))\n- SENet/SE-ResNet/SE-PreResNet/SE-ResNeXt (['Squeeze-and-Excitation Networks'](https://arxiv.org/abs/1709.01507))\n- AirNet/AirNeXt (['Attention Inspiring Receptive-Fields Network for Learning Invariant Representations'](https://ieeexplore.ieee.org/document/8510896))\n- BAM-ResNet (['BAM: Bottleneck Attention Module'](https://arxiv.org/abs/1807.06514))\n- CBAM-ResNet (['CBAM: Convolutional Block Attention Module'](https://arxiv.org/abs/1807.06521))\n- ResAttNet (['Residual Attention Network for Image Classification'](https://arxiv.org/abs/1704.06904))\n- SKNet (['Selective Kernel Networks'](https://arxiv.org/abs/1903.06586))\n- DIA-ResNet (['DIANet: Dense-and-Implicit Attention Network'](https://arxiv.org/abs/1905.10671))\n- PyramidNet (['Deep Pyramidal Residual Networks'](https://arxiv.org/abs/1610.02915))\n- DiracNetV2 (['DiracNets: Training Very Deep Neural Networks Without Skip-Connections'](https://arxiv.org/abs/1706.00388))\n- ShaResNet (['ShaResNet: reducing residual network parameter number by sharing weights'](https://arxiv.org/abs/1702.08782))\n- DenseNet (['Densely Connected Convolutional Networks'](https://arxiv.org/abs/1608.06993))\n- CondenseNet (['CondenseNet: An Efficient DenseNet using Learned Group Convolutions'](https://arxiv.org/abs/1711.09224))\n- SparseNet (['Sparsely Aggregated Convolutional Networks'](https://arxiv.org/abs/1801.05895))\n- PeleeNet (['Pelee: A Real-Time Object Detection System on Mobile Devices'](https://arxiv.org/abs/1804.06882))\n- Oct-ResNet (['Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution'](https://arxiv.org/abs/1904.05049))\n- WRN (['Wide Residual Networks'](https://arxiv.org/abs/1605.07146))\n- WRN-1bit (['Training wide residual networks for deployment using a single bit for each weight'](https://arxiv.org/abs/1802.08530))\n- DRN-C/DRN-D (['Dilated Residual Networks'](https://arxiv.org/abs/1705.09914))\n- DPN (['Dual Path Networks'](https://arxiv.org/abs/1707.01629))\n- DarkNet Ref/Tiny/19 (['Darknet: Open source neural networks in c'](https://github.com/pjreddie/darknet))\n- DarkNet-53 (['YOLOv3: An Incremental Improvement'](https://arxiv.org/abs/1804.02767))\n- ChannelNet (['ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions'](https://arxiv.org/abs/1809.01330))\n- i-RevNet (['i-RevNet: Deep Invertible Networks'](https://arxiv.org/abs/1802.07088))\n- BagNet (['Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet'](https://openreview.net/pdf?id=SkfMWhAqYQ))\n- DLA (['Deep Layer Aggregation'](https://arxiv.org/abs/1707.06484))\n- FishNet (['FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction'](http://papers.nips.cc/paper/7356-fishnet-a-versatile-backbone-for-image-region-and-pixel-level-prediction.pdf))\n- ESPNetv2 (['ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network'](https://arxiv.org/abs/1811.11431))\n- X-DenseNet (['Deep Expander Networks: Efficient Deep Networks from Graph Theory'](https://arxiv.org/abs/1711.08757))\n- SqueezeNet/SqueezeResNet (['SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size'](https://arxiv.org/abs/1602.07360))\n- SqueezeNext (['SqueezeNext: Hardware-Aware Neural Network Design'](https://arxiv.org/abs/1803.10615))\n- ShuffleNet (['ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices'](https://arxiv.org/abs/1707.01083))\n- ShuffleNetV2 (['ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design'](https://arxiv.org/abs/1807.11164))\n- MENet (['Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications'](https://arxiv.org/abs/1803.09127))\n- MobileNet (['MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications'](https://arxiv.org/abs/1704.04861))\n- FD-MobileNet (['FD-MobileNet: Improved MobileNet with A Fast Downsampling Strategy'](https://arxiv.org/abs/1802.03750))\n- MobileNetV2 (['MobileNetV2: Inverted Residuals and Linear Bottlenecks'](https://arxiv.org/abs/1801.04381))\n- MobileNetV3 (['Searching for MobileNetV3'](https://arxiv.org/abs/1905.02244))\n- IGCV3 (['IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks'](https://arxiv.org/abs/1806.00178))\n- MnasNet (['MnasNet: Platform-Aware Neural Architecture Search for Mobile'](https://arxiv.org/abs/1807.11626))\n- DARTS (['DARTS: Differentiable Architecture Search'](https://arxiv.org/abs/1806.09055))\n- ProxylessNAS (['ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware'](https://arxiv.org/abs/1812.00332))\n- Xception (['Xception: Deep Learning with Depthwise Separable Convolutions'](https://arxiv.org/abs/1610.02357))\n- InceptionV3 (['Rethinking the Inception Architecture for Computer Vision'](https://arxiv.org/abs/1512.00567))\n- InceptionV4/InceptionResNetV2 (['Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning'](https://arxiv.org/abs/1602.07261))\n- PolyNet (['PolyNet: A Pursuit of Structural Diversity in Very Deep Networks'](https://arxiv.org/abs/1611.05725))\n- NASNet (['Learning Transferable Architectures for Scalable Image Recognition'](https://arxiv.org/abs/1707.07012))\n- PNASNet (['Progressive Neural Architecture Search'](https://arxiv.org/abs/1712.00559))\n- EfficientNet (['EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks'](https://arxiv.org/abs/1905.11946))\n- NIN (['Network In Network'](https://arxiv.org/abs/1312.4400))\n- RoR-3 (['Residual Networks of Residual Networks: Multilevel Residual Networks'](https://arxiv.org/abs/1608.02908))\n- RiR (['Resnet in Resnet: Generalizing Residual Architectures'](https://arxiv.org/abs/1603.08029))\n- ResDrop-ResNet (['Deep Networks with Stochastic Depth'](https://arxiv.org/abs/1603.09382))\n- Shake-Shake-ResNet (['Shake-Shake regularization'](https://arxiv.org/abs/1705.07485))\n- ShakeDrop-ResNet (['ShakeDrop Regularization for Deep Residual Learning'](https://arxiv.org/abs/1802.02375))\n- NTS-Net (['Learning to Navigate for Fine-grained Classification'](https://arxiv.org/abs/1809.00287))\n- PSPNet (['Pyramid Scene Parsing Network'](https://arxiv.org/abs/1612.01105))\n- DeepLabv3 (['Rethinking Atrous Convolution for Semantic Image Segmentation'](https://arxiv.org/abs/1706.05587))\n- FCN-8s (['Fully Convolutional Networks for Semantic Segmentation'](https://arxiv.org/abs/1411.4038))\n\n## Installation\n\nTo use the models in your project, simply install the `chainercv2` package:\n```\npip install chainercv2\n```\nTo enable/disable different hardware supports, check out Chainer installation [instructions](https://chainer.org).\n\n## Usage\n\nExample of using a pretrained ResNet-18 model:\n```\nfrom chainercv2.model_provider import get_model as chcv2_get_model\nimport numpy as np\n\nnet = chcv2_get_model(\"resnet18\", pretrained=True)\nx = np.zeros((1, 3, 224, 224), np.float32)\ny = net(x)\n```\n\n## Pretrained models\n\n### ImageNet-1K\n\nSome remarks:\n- Top1/Top5 are the standard 1-crop Top-1/Top-5 errors (in percents) on the validation subset of the ImageNet-1K dataset.\n- FLOPs/2 is the number of FLOPs divided by two to be similar to the number of MACs.\n- Remark `Converted from GL model` means that the model was trained on `MXNet/Gluon` and then converted to Chainer.\n- ResNet(D) is a dilated ResNet intended for use as an feature extractor in some segmentation networks.\n\n| Model | Top1 | Top5 | Params | FLOPs/2 | Remarks |\n| --- | ---: | ---: | ---: | ---: | --- |\n| AlexNet | 40.46 | 17.70 | 62,378,344 | 1,132.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.394/alexnet-1770-409d189a.npz.log)) |\n| AlexNet-b | 41.04 | 18.58 | 61,100,840 | 714.83M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.384/alexnetb-1858-fc907758.npz.log)) |\n| ZFNet | 39.19 | 16.75 | 62,357,608 | 1,170.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.395/zfnet-1675-0205a9ab.npz.log)) |\n| ZFNet-b | 35.80 | 14.56 | 107,627,624 | 2,479.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.400/zfnetb-1456-5808c73e.npz.log)) |\n| VGG-11 | 29.60 | 10.17 | 132,863,336 | 7,615.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.381/vgg11-1017-7934dcf0.npz.log)) |\n| VGG-13 | 28.47 | 9.52 | 133,047,848 | 11,317.65M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.388/vgg13-0952-f6af5a26.npz.log)) |\n| VGG-16 | 26.63 | 8.33 | 138,357,544 | 15,480.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.401/vgg16-0833-5e08a9ec.npz.log)) |\n| VGG-19 | 25.86 | 8.23 | 143,667,240 | 19,642.55M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.109/vgg19-0823-18980884.npz.log)) |\n| BN-VGG-11 | 28.57 | 9.37 | 132,866,088 | 7,630.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.339/bn_vgg11-0937-8fcdb341.npz.log)) |\n| BN-VGG-13 | 27.67 | 8.87 | 133,050,792 | 11,341.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.353/bn_vgg13-0887-1709fd1a.npz.log)) |\n| BN-VGG-16 | 25.45 | 7.59 | 138,361,768 | 15,506.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.359/bn_vgg16-0759-8d6a2a82.npz.log)) |\n| BN-VGG-19 | 23.89 | 6.88 | 143,672,744 | 19,671.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.360/bn_vgg19-0688-5b6f413c.npz.log)) |\n| BN-VGG-11b | 30.37 | 10.60 | 132,868,840 | 7,630.72M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.110/bn_vgg11b-1060-8964402b.npz.log)) |\n| BN-VGG-13b | 29.45 | 10.19 | 133,053,736 | 11,342.14M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.110/bn_vgg13b-1019-0121b0a4.npz.log)) |\n| BN-VGG-16b | 26.89 | 8.63 | 138,365,992 | 15,507.20M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.110/bn_vgg16b-0863-cbaa2105.npz.log)) |\n| BN-VGG-19b | 25.65 | 8.16 | 143,678,248 | 19,672.26M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.110/bn_vgg19b-0816-dc5e37a5.npz.log)) |\n| BN-Inception | 25.08 | 7.78 | 11,295,240 | 2,048.06M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.139/bninception-0778-99f685c2.npz.log)) |\n| ResNet-10 | 34.69 | 13.89 | 5,418,792 | 894.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.248/resnet10-1389-66bddf80.npz.log)) |\n| ResNet-12 | 33.40 | 13.02 | 5,492,776 | 1,126.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.253/resnet12-1302-0cc61e0d.npz.log)) |\n| ResNet-14 | 32.22 | 12.25 | 5,788,200 | 1,357.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.256/resnet14-1225-b0d4ee07.npz.log)) |\n| ResNet-BC-14b | 30.24 | 11.18 | 10,064,936 | 1,479.12M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.309/resnetbc14b-1118-fad718c2.npz.log)) |\n| ResNet-16 | 30.21 | 10.89 | 6,968,872 | 1,589.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.259/resnet16-1089-ae220662.npz.log)) |\n| ResNet-18 x0.25 | 39.32 | 17.45 | 3,937,400 | 270.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.262/resnet18_wd4-1745-79de61de.npz.log)) |\n| ResNet-18 x0.5 | 33.41 | 12.85 | 5,804,296 | 608.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.263/resnet18_wd2-1285-ae41e11d.npz.log)) |\n| ResNet-18 x0.75 | 29.98 | 10.67 | 8,476,056 | 1,129.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.266/resnet18_w3d4-1067-4defa49f.npz.log)) |\n| ResNet-18 | 28.08 | 9.59 | 11,689,512 | 1,820.41M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.153/resnet18-0959-d80fbe60.npz.log)) |\n| ResNet-26 | 26.14 | 8.36 | 17,960,232 | 2,746.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.305/resnet26-0836-ebd61df8.npz.log)) |\n| ResNet-BC-26b | 24.82 | 7.55 | 15,995,176 | 2,356.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.313/resnetbc26b-0755-74cf9fe9.npz.log)) |\n| ResNet-34 | 24.51 | 7.46 | 21,797,672 | 3,672.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.291/resnet34-0746-1856e049.npz.log)) |\n| ResNet-BC-38b | 23.47 | 6.75 | 21,925,416 | 3,234.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.328/resnetbc38b-0675-9210464e.npz.log)) |\n| ResNet-50 | 22.09 | 6.07 | 25,557,032 | 3,877.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.329/resnet50-0607-f4a16228.npz.log)) |\n| ResNet-50b | 22.08 | 6.15 | 25,557,032 | 4,110.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.308/resnet50b-0615-32bc835e.npz.log)) |\n| ResNet-101 | 21.65 | 6.01 | 44,549,160 | 7,597.95M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.22/resnet101-0601-d8cddbea.npz.log)) |\n| ResNet-101b | 20.28 | 5.14 | 44,549,160 | 7,830.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.357/resnet101b-0514-077eb1e2.npz.log)) |\n| ResNet-152 | 20.74 | 5.35 | 60,192,808 | 11,321.85M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.144/resnet152-0535-64c1daa7.npz.log)) |\n| ResNet-152b | 19.63 | 4.83 | 60,192,808 | 11,554.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.378/resnet152b-0483-e40bb222.npz.log)) |\n| PreResNet-10 | 34.70 | 14.02 | 5,417,128 | 894.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.249/preresnet10-1402-94e8fc28.npz.log)) |\n| PreResNet-12 | 33.62 | 13.18 | 5,491,112 | 1,126.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.257/preresnet12-1318-fea1c8c5.npz.log)) |\n| PreResNet-14 | 32.28 | 12.24 | 5,786,536 | 1,358.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.260/preresnet14-1224-f9973f4f.npz.log)) |\n| PreResNet-BC-14b | 30.67 | 11.53 | 10,057,384 | 1,476.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.315/preresnetbc14b-1153-1d37e533.npz.log)) |\n| PreResNet-16 | 30.22 | 10.80 | 6,967,208 | 1,589.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.261/preresnet16-1080-ac7a346a.npz.log)) |\n| PreResNet-18 x0.25 | 39.58 | 17.78 | 3,935,960 | 270.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.272/preresnet18_wd4-1778-1cf8aa48.npz.log)) |\n| PreResNet-18 x0.5 | 33.64 | 13.12 | 5,802,440 | 608.73M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.273/preresnet18_wd2-1312-fa4ce56a.npz.log)) |\n| PreResNet-18 x0.75 | 29.95 | 10.69 | 8,473,784 | 1,129.51M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.274/preresnet18_w3d4-1069-25ddcd56.npz.log)) |\n| PreResNet-18 | 28.17 | 9.54 | 11,687,848 | 1,820.56M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.140/preresnet18-0954-21e4811a.npz.log)) |\n| PreResNet-26 | 25.99 | 8.38 | 17,958,568 | 2,746.94M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.316/preresnet26-0838-8cbc7638.npz.log)) |\n| PreResNet-BC-26b | 25.20 | 7.86 | 15,987,624 | 2,354.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.325/preresnetbc26b-0786-4c1e6a24.npz.log)) |\n| PreResNet-34 | 24.58 | 7.55 | 21,796,008 | 3,672.83M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.300/preresnet34-0755-b664c649.npz.log)) |\n| PreResNet-BC-38b | 22.70 | 6.36 | 21,917,864 | 3,231.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.348/preresnetbc38b-0636-3105fbe8.npz.log)) |\n| PreResNet-50 | 22.21 | 6.24 | 25,549,480 | 3,875.44M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.330/preresnet50-0624-a2bba5b6.npz.log)) |\n| PreResNet-50b | 22.31 | 6.34 | 25,549,480 | 4,107.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.307/preresnet50b-0634-605b0eec.npz.log)) |\n| PreResNet-101 | 21.45 | 5.75 | 44,541,608 | 7,595.44M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.23/preresnet101-0575-f6f6789a.npz.log)) |\n| PreResNet-101b | 20.87 | 5.38 | 44,541,608 | 7,827.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.351/preresnet101b-0538-b502bf25.npz.log)) |\n| PreResNet-152 | 20.73 | 5.30 | 60,185,256 | 11,319.34M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.23/preresnet152-0530-021d99dc.npz.log)) |\n| PreResNet-152b | 19.87 | 5.00 | 60,185,256 | 11,551.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.386/preresnet152b-0500-bf54acd9.npz.log)) |\n| PreResNet-200b | 21.03 | 5.60 | 64,666,280 | 15,068.63M | From [tornadomeet/ResNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.45/preresnet200b-0560-f79bd952.npz.log)) |\n| PreResNet-269b | 20.73 | 5.58 | 102,065,832 | 20,101.11M | From [soeaver/mxnet-model] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.239/preresnet269b-0558-e2e491e1.npz.log)) |\n| ResNeXt-14 (16x4d) | 31.63 | 12.26 | 7,127,336 | 1,045.77M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.370/resnext14_16x4d-1226-80d9a331.npz.log)) |\n| ResNeXt-14 (32x2d) | 32.13 | 12.49 | 7,029,416 | 1,031.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.371/resnext14_32x2d-1249-892f96a4.npz.log)) |\n| ResNeXt-14 (32x4d) | 30.01 | 11.15 | 9,411,880 | 1,603.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.327/resnext14_32x4d-1115-fa0e7f7f.npz.log)) |\n| ResNeXt-26 (32x2d) | 26.32 | 8.49 | 9,924,136 | 1,461.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.373/resnext26_32x2d-0849-58d86996.npz.log)) |\n| ResNeXt-26 (32x4d) | 23.91 | 7.19 | 15,389,480 | 2,488.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.332/resnext26_32x4d-0719-62ca5090.npz.log)) |\n| ResNeXt-101 (32x4d) | 21.11 | 5.69 | 44,177,704 | 8,003.45M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.26/resnext101_32x4d-0569-c6d1c30d.npz.log)) |\n| ResNeXt-101 (64x4d) | 20.57 | 5.43 | 83,455,272 | 15,500.27M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.26/resnext101_64x4d-0543-dd8b7d96.npz.log)) |\n| SE-ResNet-10 | 33.53 | 13.32 | 5,463,332 | 894.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.354/seresnet10-1332-79437476.npz.log)) |\n| SE-ResNet-18 | 27.96 | 9.23 | 11,778,592 | 1,820.88M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.355/seresnet18-0923-b0931abe.npz.log)) |\n| SE-ResNet-26 | 25.40 | 8.06 | 18,093,852 | 2,747.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.363/seresnet26-0806-00032d5b.npz.log)) |\n| SE-ResNet-BC-26b | 23.42 | 6.84 | 17,395,976 | 2,359.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.366/seresnetbc26b-0684-884c0e6b.npz.log)) |\n| SE-ResNet-BC-38b | 21.40 | 5.79 | 24,026,616 | 3,238.58M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.374/seresnetbc38b-0579-7f103cd0.npz.log)) |\n| SE-ResNet-50 | 22.53 | 6.41 | 28,088,024 | 3,880.49M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.24/seresnet50-0641-f3d68cfc.npz.log)) |\n| SE-ResNet-50b | 20.56 | 5.30 | 28,088,024 | 4,115.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.387/seresnet50b-0530-1ac3bf50.npz.log)) |\n| SE-ResNet-101 | 21.90 | 5.88 | 49,326,872 | 7,602.76M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.24/seresnet101-0588-e45a9f8f.npz.log)) |\n| SE-ResNet-152 | 21.46 | 5.77 | 66,821,848 | 11,328.52M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.24/seresnet152-0577-a089ba52.npz.log)) |\n| SE-PreResNet-10 | 33.63 | 13.11 | 5,461,668 | 894.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.377/sepreresnet10-1311-5e38607c.npz.log)) |\n| SE-PreResNet-18 | 27.72 | 9.39 | 11,776,928 | 1,821.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.380/sepreresnet18-0939-a78ded77.npz.log)) |\n| SE-PreResNet-BC-26b | 22.93 | 6.38 | 17,388,424 | 2,357.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.399/sepreresnetbc26b-0638-e8393574.npz.log)) |\n| SE-ResNeXt-50 (32x4d) | 21.04 | 5.58 | 27,559,896 | 4,258.40M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.27/seresnext50_32x4d-0558-5c435c1b.npz.log)) |\n| SE-ResNeXt-101 (32x4d) | 19.99 | 5.01 | 48,955,416 | 8,008.26M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.27/seresnext101_32x4d-0501-98ea6fc4.npz.log)) |\n| SENet-16 | 25.39 | 8.07 | 31,366,168 | 5,081.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.341/senet16-0807-f45aa3ff.npz.log)) |\n| SENet-28 | 21.65 | 5.91 | 36,453,768 | 5,732.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.356/senet28-0591-7e7bf250.npz.log)) |\n| SENet-154 | 18.79 | 4.63 | 115,088,984 | 20,745.78M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.28/senet154-0463-381d2494.npz.log)) |\n| AirNet50-1x64d (r=2) | 22.46 | 6.20 | 27,425,864 | 4,772.11M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.120/airnet50_1x64d_r2-0620-b6a9359d.npz.log)) |\n| AirNet50-1x64d (r=16) | 22.89 | 6.50 | 25,714,952 | 4,399.97M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.120/airnet50_1x64d_r16-0650-95da530f.npz.log)) |\n| AirNeXt50-32x4d (r=2) | 21.50 | 5.73 | 27,604,296 | 5,339.58M | From [soeaver/AirNet-PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.120/airnext50_32x4d_r2-0573-160860f7.npz.log)) |\n| BAM-ResNet-50 | 23.71 | 6.97 | 25,915,099 | 4,196.09M | From [Jongchan/attention-module] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.124/bam_resnet50-0697-a8c65533.npz.log)) |\n| CBAM-ResNet-50 | 22.99 | 6.40 | 28,089,624 | 4,116.97M | From [Jongchan/attention-module] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.125/cbam_resnet50-0640-b2314d97.npz.log)) |\n| PyramidNet-101 (a=360) | 22.66 | 6.49 | 42,455,070 | 8,743.54M | From [dyhan0920/Pyramid...PyTorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.104/pyramidnet101_a360-0649-b68c786b.npz.log)) |\n| DiracNetV2-18 | 30.60 | 11.13 | 11,511,784 | 1,796.62M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.111/diracnet18v2-1113-b85b43d1.npz.log)) |\n| DiracNetV2-34 | 27.90 | 9.48 | 21,616,232 | 3,646.93M | From [szagoruyko/diracnets] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.111/diracnet34v2-0948-0245163a.npz.log)) |\n| DenseNet-121 | 23.24 | 6.83 | 7,978,856 | 2,872.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.314/densenet121-0683-4caa2458.npz.log)) |\n| DenseNet-161 | 22.36 | 6.20 | 28,681,000 | 7,793.16M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.29/densenet161-0620-6d05f3b9.npz.log)) |\n| DenseNet-169 | 22.61 | 6.58 | 14,149,480 | 3,403.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.402/densenet169-0658-ccc00701.npz.log)) |\n| DenseNet-201 | 22.64 | 6.29 | 20,013,928 | 4,347.15M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.29/densenet201-0629-77702939.npz.log)) |\n| CondenseNet-74 (C=G=4) | 26.81 | 8.61 | 4,773,944 | 546.06M | From [ShichenLiu/CondenseNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.36/condensenet74_c4_g4-0861-ef6077ec.npz.log)) |\n| CondenseNet-74 (C=G=8) | 29.74 | 10.43 | 2,935,416 | 291.52M | From [ShichenLiu/CondenseNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.36/condensenet74_c8_g8-1043-277fbfb8.npz.log)) |\n| PeleeNet | 31.61 | 11.27 | 2,802,248 | 514.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.141/peleenet-1127-ef057fc9.npz.log)) |\n| WRN-50-2 | 22.06 | 6.13 | 68,849,128 | 11,405.42M | From [szagoruyko/functional-zoo] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.113/wrn50_2-0613-d0cd9171.npz.log)) |\n| DRN-C-26 | 25.68 | 7.88 | 21,126,584 | 16,993.90M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnc26-0788-762c34c1.npz.log)) |\n| DRN-C-42 | 23.72 | 6.93 | 31,234,744 | 25,093.75M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnc42-0693-ec938cc4.npz.log)) |\n| DRN-C-58 | 22.35 | 6.29 | 40,542,008 | 32,489.94M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnc58-0629-063ef199.npz.log)) |\n| DRN-D-22 | 26.65 | 8.50 | 16,393,752 | 13,051.33M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd22-0850-b25d4757.npz.log)) |\n| DRN-D-38 | 24.53 | 7.36 | 26,501,912 | 21,151.19M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd38-0736-153481d6.npz.log)) |\n| DRN-D-54 | 22.08 | 6.23 | 35,809,176 | 28,547.38M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd54-0623-31e8eeb8.npz.log)) |\n| DRN-D-105 | 21.32 | 5.84 | 54,801,304 | 43,442.43M | From [fyu/drn] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.116/drnd105-0584-c0d7657b.npz.log)) |\n| DPN-68 | 22.93 | 6.56 | 12,611,602 | 2,351.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.310/dpn68-0656-bf9b72e9.npz.log)) |\n| DPN-98 | 20.80 | 5.53 | 61,570,728 | 11,716.51M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.34/dpn98-0553-9cd57335.npz.log)) |\n| DPN-131 | 20.04 | 5.23 | 79,254,504 | 16,076.15M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.34/dpn131-0523-e3721599.npz.log)) |\n| DarkNet Tiny | 40.33 | 17.46 | 1,042,104 | 500.85M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.69/darknet_tiny-1746-b04fa463.npz.log)) |\n| DarkNet Ref | 38.09 | 16.71 | 7,319,416 | 367.59M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.64/darknet_ref-1671-b2d5721f.npz.log)) |\n| DarkNet-53 | 21.41 | 5.56 | 41,609,928 | 7,133.86M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.150/darknet53-0556-42c57951.npz.log)) |\n| i-RevNet-301 | 26.96 | 8.87 | 125,120,356 | 14,453.87M | From [jhjacobsen/pytorch-i-revnet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.251/irevnet301-0887-ed6e6df0.npz.log)) |\n| BagNet-9 | 59.57 | 35.45 | 15,688,744 | 16,049.19M | From [wielandbrendel/bag...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet9-3545-8ac8c0f7.npz.log)) |\n| BagNet-17 | 44.78 | 21.51 | 16,213,032 | 15,768.77M | From [wielandbrendel/bag...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet17-2151-57188969.npz.log)) |\n| BagNet-33 | 36.41 | 14.92 | 18,310,184 | 16,371.52M | From [wielandbrendel/bag...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.255/bagnet33-1492-a7be162c.npz.log)) |\n| DLA-34 | 26.14 | 8.23 | 15,742,104 | 3,071.37M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla34-0823-45504b09.npz.log)) |\n| DLA-46-C | 33.85 | 12.92 | 1,301,400 | 585.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.282/dla46c-1292-98e3efd5.npz.log)) |\n| DLA-X-46-C | 32.90 | 12.28 | 1,068,440 | 546.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.293/dla46xc-1228-c2dc61bc.npz.log)) |\n| DLA-60 | 23.78 | 7.11 | 22,036,632 | 4,255.49M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla60-0711-92693875.npz.log)) |\n| DLA-X-60 | 22.46 | 6.20 | 17,352,344 | 3,543.68M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla60x-0620-444f31ea.npz.log)) |\n| DLA-X-60-C | 30.70 | 10.76 | 1,319,832 | 596.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.289/dla60xc-1076-4c418399.npz.log)) |\n| DLA-102 | 22.87 | 6.42 | 33,268,888 | 7,190.95M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla102-0642-c4ee6dcb.npz.log)) |\n| DLA-X-102 | 21.93 | 5.99 | 26,309,272 | 5,884.94M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla102x-0599-7f83bc04.npz.log)) |\n| DLA-X2-102 | 21.11 | 5.54 | 41,282,200 | 9,340.61M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla102x2-0554-6a27a094.npz.log)) |\n| DLA-169 | 21.99 | 5.90 | 53,389,720 | 11,593.20M | From [ucbdrive/dla] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.202/dla169-0590-96b692a8.npz.log)) |\n| FishNet-150 | 22.86 | 6.39 | 24,959,400 | 6,435.05M | From [kevin-ssy/FishNet] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.168/fishnet150-0639-114d15a6.npz.log)) |\n| ESPNetv2 x0.5 | 43.61 | 21.08 | 1,241,332 | 35.36M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_wd2-2108-72efda3a.npz.log)) |\n| ESPNetv2 x1.0 | 35.30 | 14.31 | 1,670,072 | 98.09M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w1-1431-eab8d605.npz.log)) |\n| ESPNetv2 x1.25 | 33.07 | 12.68 | 1,965,440 | 138.18M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w5d4-1268-dc69f420.npz.log)) |\n| ESPNetv2 x1.5 | 31.96 | 11.92 | 2,314,856 | 185.77M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w3d2-1192-2b7fc5cf.npz.log)) |\n| ESPNetv2 x2.0 | 28.95 | 9.90 | 3,498,136 | 306.93M | From [sacmehta/ESPNetv2] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.238/espnetv2_w2-0990-bfb3ab7c.npz.log)) |\n| SqueezeNet v1.0 | 38.76 | 17.38 | 1,248,424 | 823.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.128/squeezenet_v1_0-1738-4c55a6a5.npz.log)) |\n| SqueezeNet v1.1 | 39.13 | 17.40 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.88/squeezenet_v1_1-1740-b236c204.npz.log)) |\n| SqueezeResNet v1.0 | 39.36 | 17.66 | 1,248,424 | 823.67M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.178/squeezeresnet_v1_0-1766-6dc69dc2.npz.log)) |\n| SqueezeResNet v1.1 | 39.85 | 17.87 | 1,235,496 | 352.02M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.70/squeezeresnet_v1_1-1787-f40e6051.npz.log)) |\n| 1.0-SqNxt-23 | 42.62 | 19.03 | 724,056 | 287.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.171/sqnxt23_w1-1903-ef3d725b.npz.log)) |\n| 1.0-SqNxt-23v5 | 40.96 | 17.86 | 921,816 | 285.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.172/sqnxt23v5_w1-1786-8b24c6e3.npz.log)) |\n| 1.5-SqNxt-23 | 34.71 | 13.44 | 1,511,824 | 552.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.210/sqnxt23_w3d2-1344-a5c3b21e.npz.log)) |\n| 1.5-SqNxt-23v5 | 33.79 | 12.92 | 1,953,616 | 550.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.212/sqnxt23v5_w3d2-1292-c997e279.npz.log)) |\n| 2.0-SqNxt-23 | 30.43 | 10.82 | 2,583,752 | 898.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.240/sqnxt23_w2-1082-cf7aebef.npz.log)) |\n| 2.0-SqNxt-23v5 | 29.58 | 10.43 | 3,366,344 | 897.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.216/sqnxt23v5_w2-1043-e9e849cd.npz.log)) |\n| ShuffleNet x0.25 (g=1) | 62.04 | 36.81 | 209,746 | 12.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.134/shufflenet_g1_wd4-3681-15d3e787.npz.log)) |\n| ShuffleNet x0.25 (g=3) | 61.30 | 36.16 | 305,902 | 13.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.135/shufflenet_g3_wd4-3616-064f7f7f.npz.log)) |\n| ShuffleNet x0.5 (g=1) | 46.24 | 22.35 | 534,484 | 41.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.174/shufflenet_g1_wd2-2235-5d83cc28.npz.log)) |\n| ShuffleNet x0.5 (g=3) | 43.83 | 20.61 | 718,324 | 41.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.167/shufflenet_g3_wd2-2061-557e4397.npz.log)) |\n| ShuffleNet x0.75 (g=1) | 39.26 | 16.77 | 975,214 | 86.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.218/shufflenet_g1_w3d4-1677-b5515ea9.npz.log)) |\n| ShuffleNet x0.75 (g=3) | 37.83 | 16.13 | 1,238,266 | 85.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.219/shufflenet_g3_w3d4-1613-55129cb5.npz.log)) |\n| ShuffleNet x1.0 (g=1) | 34.44 | 13.48 | 1,531,936 | 148.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.223/shufflenet_g1_w1-1348-37cc6c5f.npz.log)) |\n| ShuffleNet x1.0 (g=2) | 33.94 | 13.33 | 1,733,848 | 147.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.241/shufflenet_g2_w1-1333-e473c62f.npz.log)) |\n| ShuffleNet x1.0 (g=3) | 33.99 | 13.26 | 1,865,728 | 145.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.244/shufflenet_g3_w1-1326-95df0487.npz.log)) |\n| ShuffleNet x1.0 (g=4) | 33.87 | 13.08 | 1,968,344 | 143.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.245/shufflenet_g4_w1-1308-8ed92f35.npz.log)) |\n| ShuffleNet x1.0 (g=8) | 33.68 | 13.21 | 2,434,768 | 150.76M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.250/shufflenet_g8_w1-1321-2fea8945.npz.log)) |\n| ShuffleNetV2 x0.5 | 43.45 | 20.73 | 1,366,792 | 43.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.90/shufflenetv2_wd2-2073-c5e5a23c.npz.log)) |\n| ShuffleNetV2 x1.0 | 33.39 | 12.98 | 2,278,604 | 149.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.133/shufflenetv2_w1-1298-3830a2da.npz.log)) |\n| ShuffleNetV2 x1.5 | 28.87 | 10.14 | 4,406,098 | 320.77M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.288/shufflenetv2_w3d2-1014-5f75edb1.npz.log)) |\n| ShuffleNetV2 x2.0 | 27.01 | 8.99 | 7,601,686 | 595.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.301/shufflenetv2_w2-0899-a44b1d5d.npz.log)) |\n| ShuffleNetV2b x0.5 | 39.78 | 17.87 | 1,366,792 | 43.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.157/shufflenetv2b_wd2-1787-08a12021.npz.log)) |\n| ShuffleNetV2b x1.0 | 30.36 | 11.00 | 2,279,760 | 150.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.161/shufflenetv2b_w1-1100-21562fb2.npz.log)) |\n| ShuffleNetV2b x1.5 | 26.92 | 8.78 | 4,410,194 | 323.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.203/shufflenetv2b_w3d2-0878-7a5c7ed4.npz.log)) |\n| ShuffleNetV2b x2.0 | 25.23 | 8.10 | 7,611,290 | 603.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.242/shufflenetv2b_w2-0810-636e281c.npz.log)) |\n| 108-MENet-8x1 (g=3) | 43.67 | 20.42 | 654,516 | 42.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.89/menet108_8x1_g3-2042-9e3ff283.npz.log)) |\n| 128-MENet-8x1 (g=4) | 42.07 | 19.19 | 750,796 | 45.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.103/menet128_8x1_g4-1919-f6fd56fa.npz.log)) |\n| 160-MENet-8x1 (g=8) | 43.54 | 20.42 | 850,120 | 45.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.154/menet160_8x1_g8-2042-250fd765.npz.log)) |\n| 228-MENet-12x1 (g=3) | 33.86 | 13.01 | 1,806,568 | 152.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.131/menet228_12x1_g3-1301-39c25ca3.npz.log)) |\n| 256-MENet-12x1 (g=4) | 32.30 | 12.18 | 1,888,240 | 150.65M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.152/menet256_12x1_g4-1218-57160b09.npz.log)) |\n| 348-MENet-12x1 (g=3) | 27.86 | 9.36 | 3,368,128 | 312.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.173/menet348_12x1_g3-0936-ee7e056d.npz.log)) |\n| 352-MENet-12x1 (g=8) | 31.28 | 11.72 | 2,272,872 | 157.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.198/menet352_12x1_g8-1172-c256ae25.npz.log)) |\n| 456-MENet-24x1 (g=3) | 25.07 | 7.79 | 5,304,784 | 567.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.237/menet456_24x1_g3-0779-5af355f6.npz.log)) |\n| MobileNet x0.25 | 45.85 | 22.16 | 470,072 | 44.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.62/mobilenet_wd4-2216-09c50ab8.npz.log)) |\n| MobileNet x0.5 | 33.89 | 13.37 | 1,331,592 | 155.42M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.156/mobilenet_wd2-1337-48d12ee3.npz.log)) |\n| MobileNet x0.75 | 29.86 | 10.53 | 2,585,560 | 333.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.130/mobilenet_w3d4-1053-d7ec3192.npz.log)) |\n| MobileNet x1.0 | 26.47 | 8.66 | 4,231,976 | 579.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.155/mobilenet_w1-0866-b888f817.npz.log)) |\n| FD-MobileNet x0.25 | 55.43 | 30.63 | 383,160 | 12.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.177/fdmobilenet_wd4-3063-55407f3a.npz.log)) |\n| FD-MobileNet x0.5 | 42.68 | 19.76 | 993,928 | 41.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.83/fdmobilenet_wd2-1976-6299d442.npz.log)) |\n| FD-MobileNet x0.75 | 37.94 | 15.99 | 1,833,304 | 86.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.159/fdmobilenet_w3d4-1599-cdfc2e04.npz.log)) |\n| FD-MobileNet x1.0 | 33.90 | 13.16 | 2,901,288 | 147.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.162/fdmobilenet_w1-1316-0ed6f00c.npz.log)) |\n| MobileNetV2 x0.25 | 48.10 | 24.11 | 1,516,392 | 34.24M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.137/mobilenetv2_wd4-2411-9fc398d3.npz.log)) |\n| MobileNetV2 x0.5 | 35.56 | 14.44 | 1,964,736 | 100.13M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.170/mobilenetv2_wd2-1444-ca0906e1.npz.log)) |\n| MobileNetV2 x0.75 | 29.75 | 10.47 | 2,627,592 | 198.50M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.230/mobilenetv2_w3d4-1047-a25fd26c.npz.log)) |\n| MobileNetV2 x1.0 | 26.80 | 8.66 | 3,504,960 | 329.36M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.213/mobilenetv2_w1-0866-efc3331e.npz.log)) |\n| IGCV3 x0.25 | 53.36 | 28.28 | 1,534,020 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.142/igcv3_wd4-2828-25942192.npz.log)) |\n| IGCV3 x0.5 | 39.36 | 17.04 | 1,985,528 | 111.12M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.132/igcv3_wd2-1704-86246558.npz.log)) |\n| IGCV3 x0.75 | 30.67 | 10.99 | 2,638,084 | 210.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.207/igcv3_w3d4-1099-b0dbc54a.npz.log)) |\n| IGCV3 x1.0 | 27.70 | 8.98 | 3,491,688 | 340.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.243/igcv3_w1-0898-5fd85acd.npz.log)) |\n| MnasNet | 31.27 | 11.44 | 4,308,816 | 317.67M | From [zeusees/Mnasnet...Model] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.117/mnasnet-1144-688e523d.npz.log)) |\n| DARTS | 27.29 | 8.97 | 4,718,752 | 539.86M | From [quark0/darts] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.118/darts-0897-8986fe64.npz.log)) |\n| ProxylessNAS CPU | 24.76 | 7.52 | 4,361,648 | 459.96M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.324/proxylessnas_cpu-0752-22bd211b.npz.log)) |\n| ProxylessNAS GPU | 24.62 | 7.23 | 7,119,848 | 476.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.333/proxylessnas_gpu-0723-b81256a1.npz.log)) |\n| ProxylessNAS Mobile | 25.31 | 7.85 | 4,080,512 | 332.46M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.326/proxylessnas_mobile-0785-561f3416.npz.log)) |\n| ProxylessNAS Mob-14 | 22.95 | 6.51 | 6,857,568 | 597.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.331/proxylessnas_mobile14-0651-7467ce2d.npz.log)) |\n| Xception | 21.04 | 5.47 | 22,855,952 | 8,403.63M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.115/xception-0547-7a5be958.npz.log)) |\n| InceptionV3 | 21.11 | 5.61 | 23,834,568 | 5,743.06M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.92/inceptionv3-0561-4ddea4df.npz.log)) |\n| InceptionV4 | 20.62 | 5.26 | 42,679,816 | 12,304.93M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.105/inceptionv4-0526-02e53701.npz.log)) |\n| InceptionResNetV2 | 19.93 | 4.92 | 55,843,464 | 13,188.64M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.107/inceptionresnetv2-0492-3d3de82b.npz.log)) |\n| PolyNet | 19.08 | 4.50 | 95,366,600 | 34,821.34M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.96/polynet-0450-6dc7028b.npz.log)) |\n| NASNet-A 4@1056 | 25.36 | 7.96 | 5,289,978 | 584.90M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.97/nasnet_4a1056-0796-f09950c0.npz.log)) |\n| NASNet-A 6@4032 | 18.17 | 4.22 | 88,753,150 | 23,976.44M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.101/nasnet_6a4032-0422-d49d4663.npz.log)) |\n| PNASNet-5-Large | 17.90 | 4.26 | 86,057,668 | 25,140.77M | From [Cadene/pretrained...pytorch] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.114/pnasnet5large-0426-3c2755dc.npz.log)) |\n| EfficientNet-B0 | 24.48 | 7.25 | 5,288,548 | 414.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.364/efficientnet_b0-0725-8d6f1744.npz.log)) |\n| EfficientNet-B1 | 23.02 | 6.33 | 7,794,184 | 732.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.376/efficientnet_b1-0633-4ac377d9.npz.log)) |\n| EfficientNet-B0b | 22.97 | 6.69 | 5,288,548 | 414.31M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b0b-0669-366e9c54.npz.log)) |\n| EfficientNet-B1b | 20.97 | 5.67 | 7,794,184 | 732.54M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b1b-0567-2826a686.npz.log)) |\n| EfficientNet-B2b | 20.02 | 5.14 | 9,109,994 | 1,051.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b2b-0514-93c91747.npz.log)) |\n| EfficientNet-B3b | 18.72 | 4.36 | 12,233,232 | 1,928.55M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b3b-0436-82eb9d91.npz.log)) |\n| EfficientNet-B4b | 17.46 | 3.92 | 19,341,616 | 4,607.46M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b4b-0392-81138451.npz.log)) |\n| EfficientNet-B5b | 16.52 | 3.39 | 30,389,784 | 10,695.20M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b5b-0339-fb684f5d.npz.log)) |\n| EfficientNet-B6b | 16.31 | 3.24 | 43,040,704 | 19,796.24M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b6b-0324-acaad4db.npz.log)) |\n| EfficientNet-B7b | 15.92 | 3.23 | 66,347,960 | 39,010.98M | From [rwightman/pyt...models] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.403/efficientnet_b7b-0323-031b7bd5.npz.log)) |\n| ResNet(D)-50b | 20.80 | 5.50 | 25,680,808 | 20,497.60M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd50b-0550-7ba88f04.npz.log)) |\n| ResNet(D)-101b | 19.49 | 4.60 | 44,672,936 | 35,392.65M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd101b-0460-b90f971e.npz.log)) |\n| ResNet(D)-152b | 19.36 | 4.70 | 60,316,584 | 47,662.18M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.296/resnetd152b-0470-41442334.npz.log)) |\n\n### CIFAR-10\n\n| Model | Error, % | Params | FLOPs/2 | Remarks |\n| --- | ---: | ---: | ---: | --- |\n| NIN | 7.43 | 966,986 | 222.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.175/nin_cifar10-0743-045abfde.npz.log)) |\n| ResNet-20 | 5.97 | 272,474 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet20_cifar10-0597-15145d2e.npz.log)) |\n| ResNet-56 | 4.52 | 855,770 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet56_cifar10-0452-eb7923aa.npz.log)) |\n| ResNet-110 | 3.69 | 1,730,714 | 255.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.163/resnet110_cifar10-0369-27d76fce.npz.log)) |\n| ResNet-164(BN) | 3.68 | 1,704,154 | 255.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.179/resnet164bn_cifar10-0368-d8659366.npz.log)) |\n| ResNet-272(BN) | 3.33 | 2,816,986 | 420.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_cifar10-0333-b7c6902a.npz.log)) |\n| ResNet-542(BN) | 3.43 | 5,599,066 | 833.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_cifar10-0343-b6598e7a.npz.log)) |\n| ResNet-1001 | 3.28 | 10,328,602 | 1,536.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.201/resnet1001_cifar10-0328-0e27556c.npz.log)) |\n| ResNet-1202 | 3.53 | 19,424,026 | 2,857.17M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.214/resnet1202_cifar10-0353-d82bb435.npz.log)) |\n| PreResNet-20 | 6.51 | 272,282 | 41.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet20_cifar10-0651-5cf94722.npz.log)) |\n| PreResNet-56 | 4.49 | 855,578 | 127.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet56_cifar10-0449-73ea193a.npz.log)) |\n| PreResNet-110 | 3.86 | 1,730,522 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.164/preresnet110_cifar10-0386-544ed0f0.npz.log)) |\n| PreResNet-164(BN) | 3.64 | 1,703,258 | 255.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.196/preresnet164bn_cifar10-0364-c0ff2438.npz.log)) |\n| PreResNet-272(BN) | 3.25 | 2,816,090 | 420.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_cifar10-0325-8f8f375d.npz.log)) |\n| PreResNet-542(BN) | 3.14 | 5,598,170 | 833.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_cifar10-0314-86a2b5f5.npz.log)) |\n| PreResNet-1001 | 2.65 | 10,327,706 | 1,536.18M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.209/preresnet1001_cifar10-0265-1f3028bd.npz.log)) |\n| PreResNet-1202 | 3.39 | 19,423,834 | 2,857.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.246/preresnet1202_cifar10-0339-cc2bd85a.npz.log)) |\n| ResNeXt-29 (32x4d) | 3.15 | 4,775,754 | 780.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.169/resnext29_32x4d_cifar10-0315-442eca6c.npz.log)) |\n| ResNeXt-29 (16x64d) | 2.41 | 68,155,210 | 10,709.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.176/resnext29_16x64d_cifar10-0241-e80d3cb5.npz.log)) |\n| ResNeXt-272 (1x64d) | 2.55 | 44,540,746 | 6,565.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_cifar10-0255-1ca66300.npz.log)) |\n| ResNeXt-272 (2x32d) | 2.74 | 32,928,586 | 4,867.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_cifar10-0274-94e492a4.npz.log)) |\n| SE-ResNet-20 | 6.01 | 274,847 | 41.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_cifar10-0601-143eba2a.npz.log)) |\n| SE-ResNet-56 | 4.13 | 862,889 | 127.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_cifar10-0413-66486cdb.npz.log)) |\n| SE-ResNet-110 | 3.63 | 1,744,952 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_cifar10-0363-9a85ff95.npz.log)) |\n| SE-ResNet-164(BN) | 3.39 | 1,906,258 | 256.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_cifar10-0339-4c59e76f.npz.log)) |\n| SE-ResNet-272(BN) | 3.39 | 3,153,826 | 422.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_cifar10-0339-8081d1be.npz.log)) |\n| SE-ResNet-542(BN) | 3.47 | 6,272,746 | 838.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_cifar10-0347-e67d0c05.npz.log)) |\n| SE-PreResNet-20 | 6.18 | 274,559 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_cifar10-0618-cbc1c4df.npz.log)) |\n| SE-PreResNet-56 | 4.51 | 862,601 | 127.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_cifar10-0451-0b34942c.npz.log)) |\n| SE-PreResNet-110 | 4.54 | 1,744,664 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_cifar10-0454-4c062f46.npz.log)) |\n| SE-PreResNet-164(BN) | 3.73 | 1,904,882 | 256.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_cifar10-0373-e82ad7ff.npz.log)) |\n| SE-PreResNet-272(BN) | 3.39 | 3,152,450 | 422.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_cifar10-0339-02e14113.npz.log)) |\n| SE-PreResNet-542(BN) | 3.08 | 6,271,370 | 837.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_cifar10-0308-1e726874.npz.log)) |\n| PyramidNet-110 (a=48) | 3.72 | 1,772,706 | 408.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.184/pyramidnet110_a48_cifar10-0372-965fce37.npz.log)) |\n| PyramidNet-110 (a=84) | 2.98 | 3,904,446 | 778.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.185/pyramidnet110_a84_cifar10-0298-7b38a0f6.npz.log)) |\n| PyramidNet-110 (a=270) | 2.51 | 28,485,477 | 4,730.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.194/pyramidnet110_a270_cifar10-0251-b3456ddd.npz.log)) |\n| PyramidNet-164 (a=270, BN) | 2.42 | 27,216,021 | 4,608.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.264/pyramidnet164_a270_bn_cifar10-0242-783e21b5.npz.log)) |\n| PyramidNet-200 (a=240, BN) | 2.44 | 26,752,702 | 4,563.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.268/pyramidnet200_a240_bn_cifar10-0244-89ae1856.npz.log)) |\n| PyramidNet-236 (a=220, BN) | 2.47 | 26,969,046 | 4,631.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.285/pyramidnet236_a220_bn_cifar10-0247-6b9a2966.npz.log)) |\n| PyramidNet-272 (a=200, BN) | 2.39 | 26,210,842 | 4,541.36M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.284/pyramidnet272_a200_bn_cifar10-0239-533f8d89.npz.log)) |\n| DenseNet-40 (k=12) | 5.61 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.193/densenet40_k12_cifar10-0561-a37df881.npz.log)) |\n| DenseNet-BC-40 (k=12) | 6.43 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.231/densenet40_k12_bc_cifar10-0643-234918e7.npz.log)) |\n| DenseNet-BC-40 (k=24) | 4.52 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.220/densenet40_k24_bc_cifar10-0452-3ec459af.npz.log)) |\n| DenseNet-BC-40 (k=36) | 4.04 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.224/densenet40_k36_bc_cifar10-0404-6be4225a.npz.log)) |\n| DenseNet-100 (k=12) | 3.66 | 4,068,490 | 1,353.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.205/densenet100_k12_cifar10-0366-85031735.npz.log)) |\n| DenseNet-100 (k=24) | 3.13 | 16,114,138 | 5,354.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.252/densenet100_k24_cifar10-0313-939ef309.npz.log)) |\n| DenseNet-BC-100 (k=12) | 4.16 | 769,162 | 298.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.189/densenet100_k12_bc_cifar10-0416-160a0641.npz.log)) |\n| DenseNet-BC-190 (k=40) | 2.52 | 25,624,430 | 9,400.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.286/densenet190_k40_bc_cifar10-0252-57f2fa70.npz.log)) |\n| DenseNet-BC-250 (k=24) | 2.67 | 15,324,406 | 5,519.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.290/densenet250_k24_bc_cifar10-0267-03b26887.npz.log)) |\n| X-DenseNet-BC-40-2 (k=24) | 5.31 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.226/xdensenet40_2_k24_bc_cifar10-0531-d3c448ab.npz.log)) |\n| X-DenseNet-BC-40-2 (k=36) | 4.37 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.233/xdensenet40_2_k36_bc_cifar10-0437-fb6d7431.npz.log)) |\n| WRN-16-10 | 2.93 | 17,116,634 | 2,414.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn16_10_cifar10-0293-4ac60015.npz.log)) |\n| WRN-28-10 | 2.39 | 36,479,194 | 5,246.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn28_10_cifar10-0239-f8a24941.npz.log)) |\n| WRN-40-8 | 2.37 | 35,748,314 | 5,176.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.166/wrn40_8_cifar10-0237-3f56f24a.npz.log)) |\n| WRN-20-10-1bit | 3.26 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_cifar10-0326-3288c59a.npz.log)) |\n| WRN-20-10-32bit | 3.14 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_cifar10-0314-90b3fc15.npz.log)) |\n| RoR-3-56 | 5.43 | 762,746 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.228/ror3_56_cifar10-0543-7ca1b24c.npz.log)) |\n| RoR-3-110 | 4.35 | 1,637,690 | 242.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.235/ror3_110_cifar10-0435-bf021f25.npz.log)) |\n| RoR-3-164 | 3.93 | 2,512,634 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_cifar10-0393-7ac7b446.npz.log)) |\n| RiR | 3.28 | 9,492,980 | 1,281.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_cifar10-0328-9780c77d.npz.log)) |\n| Shake-Shake-ResNet-20-2x16d | 5.15 | 541,082 | 81.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.215/shakeshakeresnet20_2x16d_cifar10-0515-e2f524b5.npz.log)) |\n| Shake-Shake-ResNet-26-2x32d | 3.17 | 2,923,162 | 428.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.217/shakeshakeresnet26_2x32d_cifar10-0317-5422fce1.npz.log)) |\n| DIA-ResNet-20 | 6.22 | 286,866 | 41.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet20_cifar10-0622-1c5f4c8a.npz.log)) |\n| DIA-ResNet-56 | 5.05 | 870,162 | 129.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet56_cifar10-0505-4073bb0c.npz.log)) |\n| DIA-ResNet-110 | 4.10 | 1,745,106 | 264.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet110_cifar10-0410-5d051745.npz.log)) |\n| DIA-ResNet-164(BN) | 3.50 | 1,923,002 | 343.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet164bn_cifar10-0350-27cfe80d.npz.log)) |\n| DIA-PreResNet-20 | 6.42 | 286,674 | 41.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_cifar10-0642-bfcfd5c6.npz.log)) |\n| DIA-PreResNet-56 | 4.83 | 869,970 | 129.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_cifar10-0483-d5229916.npz.log)) |\n| DIA-PreResNet-110 | 4.25 | 1,744,914 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_cifar10-0425-9fab76b9.npz.log)) |\n| DIA-PreResNet-164(BN) | 3.56 | 1,922,106 | 343.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_cifar10-0356-7a0b1243.npz.pth.log)) |\n\n### CIFAR-100\n\n| Model | Error, % | Params | FLOPs/2 | Remarks |\n| --- | ---: | ---: | ---: | --- |\n| NIN | 28.39 | 984,356 | 224.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.183/nin_cifar100-2839-89104763.npz.log)) |\n| ResNet-20 | 29.64 | 278,324 | 41.30M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.180/resnet20_cifar100-2964-6a85f07e.npz.log)) |\n| ResNet-56 | 24.88 | 861,620 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.181/resnet56_cifar100-2488-2d641cde.npz.log)) |\n| ResNet-110 | 22.80 | 1,736,564 | 255.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.190/resnet110_cifar100-2280-d2ec4ff1.npz.log)) |\n| ResNet-164(BN) | 20.44 | 1,727,284 | 255.33M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.182/resnet164bn_cifar100-2044-190ab6b4.npz.log)) |\n| ResNet-272(BN) | 20.07 | 2,840,116 | 420.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_cifar100-2007-fe6b27f8.npz.log)) |\n| ResNet-542(BN) | 19.32 | 5,622,196 | 833.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_cifar100-1932-4f95b380.npz.log)) |\n| ResNet-1001 | 19.79 | 10,351,732 | 1,536.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.254/resnet1001_cifar100-1979-6416c8d2.npz.log)) |\n| PreResNet-20 | 30.22 | 278,132 | 41.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.187/preresnet20_cifar100-3022-e3fd9391.npz.log)) |\n| PreResNet-56 | 25.05 | 861,428 | 127.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.188/preresnet56_cifar100-2505-f879fb4e.npz.log)) |\n| PreResNet-110 | 22.67 | 1,736,372 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.191/preresnet110_cifar100-2267-4e010af0.npz.log)) |\n| PreResNet-164(BN) | 20.18 | 1,726,388 | 255.10M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.192/preresnet164bn_cifar100-2018-5228dfbd.npz.log)) |\n| PreResNet-272(BN) | 19.63 | 2,839,220 | 420.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_cifar100-1963-52a0ebab.npz.log)) |\n| PreResNet-542(BN) | 18.71 | 5,621,300 | 833.66M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_cifar100-1871-d7343a66.npz.log)) |\n| PreResNet-1001 | 18.41 | 10,350,836 | 1,536.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.283/preresnet1001_cifar100-1841-fcbddbdb.npz.log)) |\n| ResNeXt-29 (32x4d) | 19.50 | 4,868,004 | 780.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.200/resnext29_32x4d_cifar100-1950-de139852.npz.log)) |\n| ResNeXt-29 (16x64d) | 16.93 | 68,247,460 | 10,709.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.322/resnext29_16x64d_cifar100-1693-762f79b3.npz.log)) |\n| ResNeXt-272 (1x64d) | 19.11 | 44,632,996 | 6,565.25M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_cifar100-1911-9a9b397c.npz.log)) |\n| ResNeXt-272 (2x32d) | 18.34 | 33,020,836 | 4,867.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_cifar100-1834-bbc0c87c.npz.log)) |\n| SE-ResNet-20 | 28.54 | 280,697 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_cifar100-2854-1240e42f.npz.log)) |\n| SE-ResNet-56 | 22.94 | 868,739 | 127.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_cifar100-2294-ab7e5443.npz.log)) |\n| SE-ResNet-110 | 20.86 | 1,750,802 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_cifar100-2086-298d298e.npz.log)) |\n| SE-ResNet-164(BN) | 19.95 | 1,929,388 | 256.57M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_cifar100-1995-cdac82fd.npz.log)) |\n| SE-ResNet-272(BN) | 19.07 | 3,176,956 | 422.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_cifar100-1907-a83ac8d6.npz.log)) |\n| SE-ResNet-542(BN) | 18.87 | 6,295,876 | 838.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_cifar100-1887-dac530d6.npz.log)) |\n| SE-PreResNet-20 | 28.31 | 280,409 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_cifar100-2831-e5480418.npz.log)) |\n| SE-PreResNet-56 | 23.05 | 868,451 | 127.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_cifar100-2305-1138b500.npz.log)) |\n| SE-PreResNet-110 | 22.61 | 1,750,514 | 255.99M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_cifar100-2261-b525d8b1.npz.log)) |\n| SE-PreResNet-164(BN) | 20.05 | 1,928,012 | 256.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_cifar100-2005-baf00211.npz.log)) |\n| SE-PreResNet-272(BN) | 19.13 | 3,175,580 | 422.47M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_cifar100-1913-d37b7af2.npz.log)) |\n| SE-PreResNet-542(BN) | 19.45 | 6,294,500 | 837.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_cifar100-1945-aadac5fb.npz.log)) |\n| PyramidNet-110 (a=48) | 20.95 | 1,778,556 | 408.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.186/pyramidnet110_a48_cifar100-2095-b74f12c8.npz.log)) |\n| PyramidNet-110 (a=84) | 18.87 | 3,913,536 | 778.16M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.199/pyramidnet110_a84_cifar100-1887-842b3809.npz.log)) |\n| PyramidNet-110 (a=270) | 17.10 | 28,511,307 | 4,730.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.319/pyramidnet110_a270_cifar100-1710-56ae7135.npz.log)) |\n| PyramidNet-164 (a=270, BN) | 16.70 | 27,319,071 | 4,608.91M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet164_a270_bn_cifar100-1670-7614c56c.npz.log)) |\n| PyramidNet-200 (a=240, BN) | 16.09 | 26,844,952 | 4,563.49M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.317/pyramidnet200_a240_bn_cifar100-1684-5dd93682.npz.log)) |\n| PyramidNet-236 (a=220, BN) | 16.34 | 27,054,096 | 4,631.41M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet236_a220_bn_cifar100-1634-fd14728b.npz.log)) |\n| PyramidNet-272 (a=200, BN) | 16.19 | 26,288,692 | 4,541.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.312/pyramidnet272_a200_bn_cifar100-1619-4ba0ea07.npz.log)) |\n| DenseNet-40 (k=12) | 24.90 | 622,360 | 210.82M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.195/densenet40_k12_cifar100-2490-d06839db.npz.log)) |\n| DenseNet-BC-40 (k=12) | 28.41 | 188,092 | 74.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.232/densenet40_k12_bc_cifar100-2841-968e5667.npz.log)) |\n| DenseNet-BC-40 (k=24) | 22.67 | 714,196 | 293.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.221/densenet40_k24_bc_cifar100-2267-f744296d.npz.log)) |\n| DenseNet-BC-40 (k=36) | 20.50 | 1,578,412 | 654.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.225/densenet40_k36_bc_cifar100-2050-49b6695f.npz.log)) |\n| DenseNet-100 (k=12) | 19.64 | 4,129,600 | 1,353.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.206/densenet100_k12_cifar100-1964-f04f5920.npz.log)) |\n| DenseNet-100 (k=24) | 18.08 | 16,236,268 | 5,354.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.318/densenet100_k24_cifar100-1808-47274dd8.npz.log)) |\n| DenseNet-BC-100 (k=12) | 21.19 | 800,032 | 298.48M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.208/densenet100_k12_bc_cifar100-2119-a37ebc2a.npz.log)) |\n| DenseNet-BC-250 (k=24) | 17.39 | 15,480,556 | 5,519.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.303/densenet250_k24_bc_cifar100-1739-9100f02a.npz.log)) |\n| X-DenseNet-BC-40-2 (k=24) | 23.96 | 714,196 | 293.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.227/xdensenet40_2_k24_bc_cifar100-2396-84357bb4.npz.log)) |\n| X-DenseNet-BC-40-2 (k=36) | 21.65 | 1,578,412 | 654.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.234/xdensenet40_2_k36_bc_cifar100-2165-9ac51e90.npz.log)) |\n| WRN-16-10 | 18.95 | 17,174,324 | 2,414.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.204/wrn16_10_cifar100-1895-d6e85278.npz.log)) |\n| WRN-28-10 | 17.88 | 36,536,884 | 5,247.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.320/wrn28_10_cifar100-1788-60387299.npz.log)) |\n| WRN-40-8 | 18.03 | 35,794,484 | 5,176.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.321/wrn40_8_cifar100-1803-794aca60.npz.log)) |\n| WRN-20-10-1bit | 19.04 | 26,794,920 | 4,022.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_cifar100-1904-1c6f1917.npz.log)) |\n| WRN-20-10-32bit | 18.12 | 26,794,920 | 4,022.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_cifar100-1812-346f276f.npz.log)) |\n| RoR-3-56 | 25.49 | 768,596 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.229/ror3_56_cifar100-2549-a7903e5f.npz.log)) |\n| RoR-3-110 | 23.64 | 1,643,540 | 242.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.236/ror3_110_cifar100-2364-13de922a.npz.log)) |\n| RoR-3-164 | 22.34 | 2,518,484 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_cifar100-2234-d5a53210.npz.log)) |\n| RiR | 19.23 | 9,527,720 | 1,283.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_cifar100-1923-4bfd2f23.npz.log)) |\n| Shake-Shake-ResNet-20-2x16d | 29.22 | 546,932 | 81.79M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.247/shakeshakeresnet20_2x16d_cifar100-2922-84772a31.npz.log)) |\n| Shake-Shake-ResNet-26-2x32d | 18.80 | 2,934,772 | 428.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.222/shakeshakeresnet26_2x32d_cifar100-1880-750a574e.npz.log)) |\n| DIA-ResNet-20 | 27.71 | 292,716 | 41.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet20_cifar100-2771-350c5ed4.npz.log)) |\n| DIA-ResNet-56 | 24.35 | 876,012 | 129.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet56_cifar100-2435-22e777d2.npz.log)) |\n| DIA-ResNet-110 | 22.11 | 1,750,956 | 264.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet110_cifar100-2211-4c6aa3fe.npz.log)) |\n| DIA-ResNet-164(BN) | 19.53 | 1,946,132 | 343.62M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.342/diaresnet164bn_cifar100-1953-18aa50ab.npz.log)) |\n| DIA-PreResNet-20 | 28.37 | 292,524 | 41.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_cifar100-2837-936a4acc.npz.log)) |\n| DIA-PreResNet-56 | 25.05 | 875,820 | 129.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_cifar100-2505-9867b907.npz.log)) |\n| DIA-PreResNet-110 | 22.69 | 1,750,764 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_cifar100-2269-0af00d41.npz.log)) |\n| DIA-PreResNet-164(BN) | 19.99 | 1,945,236 | 343.39M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_cifar100-1999-a3835edf.npz.log)) |\n\n### SVHN\n\n| Model | Error, % | Params | FLOPs/2 | Remarks |\n| --- | ---: | ---: | ---: | --- |\n| NIN | 3.76 | 966,986 | 222.97M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.270/nin_svhn-0376-2fbe48d0.npz.log)) |\n| ResNet-20 | 3.43 | 272,474 | 41.29M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet20_svhn-0343-b6c1dc99.npz.log)) |\n| ResNet-56 | 2.75 | 855,770 | 127.06M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet56_svhn-0275-cf18a072.npz.log)) |\n| ResNet-110 | 2.45 | 1,730,714 | 255.70M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.265/resnet110_svhn-0245-f274056a.npz.log)) |\n| ResNet-164(BN) | 2.42 | 1,704,154 | 255.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.267/resnet164bn_svhn-0242-b4c1c66c.npz.log)) |\n| ResNet-272(BN) | 2.43 | 2,816,986 | 420.61M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.368/resnet272bn_svhn-0243-693d5c39.npz.log)) |\n| ResNet-542(BN) | 2.34 | 5,599,066 | 833.87M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.369/resnet542bn_svhn-0234-7421964d.npz.log)) |\n| PreResNet-20 | 3.22 | 272,282 | 41.27M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet20_svhn-0322-8e56898f.npz.log)) |\n| PreResNet-56 | 2.80 | 855,578 | 127.03M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet56_svhn-0280-f5124073.npz.log)) |\n| PreResNet-110 | 2.79 | 1,730,522 | 255.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet110_svhn-0279-8dcd3ae5.npz.log)) |\n| PreResNet-164(BN) | 2.58 | 1,703,258 | 255.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.269/preresnet164bn_svhn-0258-69de71f5.npz.log)) |\n| PreResNet-272(BN) | 2.34 | 2,816,090 | 420.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.389/preresnet272bn_svhn-0234-b2cc8842.npz.log)) |\n| PreResNet-542(BN) | 2.36 | 5,598,170 | 833.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.391/preresnet542bn_svhn-0236-67f372d8.npz.log)) |\n| ResNeXt-29 (32x4d) | 2.80 | 4,775,754 | 780.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.275/resnext29_32x4d_svhn-0280-0a402fab.npz.log)) |\n| ResNeXt-29 (16x64d) | 2.68 | 68,155,210 | 10,709.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.358/resnext29_16x64d_svhn-0268-04ffa539.npz.log)) |\n| ResNeXt-272 (1x64d) | 2.35 | 44,540,746 | 6,565.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.372/resnext272_1x64d_svhn-0235-b12f9d9c.npz.log)) |\n| ResNeXt-272 (2x32d) | 2.44 | 32,928,586 | 4,867.11M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.375/resnext272_2x32d_svhn-0244-d9432f63.npz.log)) |\n| SE-ResNet-20 | 3.23 | 274,847 | 41.34M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet20_svhn-0323-6c611f0a.npz.log)) |\n| SE-ResNet-56 | 2.64 | 862,889 | 127.19M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet56_svhn-0264-0a017d76.npz.log)) |\n| SE-ResNet-110 | 2.35 | 1,744,952 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet110_svhn-0235-525399af.npz.log)) |\n| SE-ResNet-164(BN) | 2.45 | 1,906,258 | 256.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.362/seresnet164bn_svhn-0245-31e8d2be.npz.log)) |\n| SE-ResNet-272(BN) | 2.38 | 3,153,826 | 422.68M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.390/seresnet272bn_svhn-0238-2b28cd77.npz.log)) |\n| SE-ResNet-542(BN) | 2.26 | 6,272,746 | 838.01M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.385/seresnet542bn_svhn-0226-9571b88b.npz.log)) |\n| SE-PreResNet-20 | 3.24 | 274,559 | 41.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet20_svhn-0324-04dafec1.npz.log)) |\n| SE-PreResNet-56 | 2.71 | 862,601 | 127.20M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet56_svhn-0271-150740af.npz.log)) |\n| SE-PreResNet-110 | 2.59 | 1,744,664 | 255.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet110_svhn-0259-eec4c9f3.npz.log)) |\n| SE-PreResNet-164(BN) | 2.56 | 1,904,882 | 256.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet164bn_svhn-0256-36362d66.npz.log)) |\n| SE-PreResNet-272(BN) | 2.49 | 3,152,450 | 422.45M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.379/sepreresnet272bn_svhn-0249-44b18f81.npz.log)) |\n| SE-PreResNet-542(BN) | 2.47 | 6,271,370 | 837.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.382/sepreresnet542bn_svhn-0247-ff5682df.npz.log)) |\n| PyramidNet-110 (a=48) | 2.47 | 1,772,706 | 408.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.281/pyramidnet110_a48_svhn-0247-e750bd67.npz.log)) |\n| PyramidNet-110 (a=84) | 2.43 | 3,904,446 | 778.15M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.392/pyramidnet110_a84_svhn-0243-56b06d8f.npz.log)) |\n| PyramidNet-110 (a=270) | 2.38 | 28,485,477 | 4,730.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.393/pyramidnet110_a270_svhn-0238-fdf9f2da.npz.log)) |\n| PyramidNet-164 (a=270, BN) | 2.33 | 27,216,021 | 4,608.81M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.396/pyramidnet164_a270_bn_svhn-0233-6dcd1882.npz.log)) |\n| PyramidNet-200 (a=240, BN) | 2.32 | 26,752,702 | 4,563.40M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.397/pyramidnet200_a240_bn_svhn-0232-b5876d02.npz.log)) |\n| PyramidNet-236 (a=220, BN) | 2.35 | 26,969,046 | 4,631.32M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.398/pyramidnet236_a220_bn_svhn-0235-bb39a3c6.npz.log)) |\n| DenseNet-40 (k=12) | 3.05 | 599,050 | 210.80M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.278/densenet40_k12_svhn-0305-8d563cdf.npz.log)) |\n| DenseNet-BC-40 (k=12) | 3.20 | 176,122 | 74.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.279/densenet40_k12_bc_svhn-0320-52bd7900.npz.log)) |\n| DenseNet-BC-40 (k=24) | 2.90 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.280/densenet40_k24_bc_svhn-0290-268af51a.npz.log)) |\n| DenseNet-BC-40 (k=36) | 2.60 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.311/densenet40_k36_bc_svhn-0260-47ef4d80.npz.log)) |\n| DenseNet-100 (k=12) | 2.60 | 4,068,490 | 1,353.55M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.311/densenet100_k12_svhn-0260-c57bbabe.npz.log)) |\n| X-DenseNet-BC-40-2 (k=24) | 2.87 | 690,346 | 293.09M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k24_bc_svhn-0287-065f3847.npz.log)) |\n| X-DenseNet-BC-40-2 (k=36) | 2.74 | 1,542,682 | 654.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.306/xdensenet40_2_k36_bc_svhn-0274-bf7f7de9.npz.log)) |\n| WRN-16-10 | 2.78 | 17,116,634 | 2,414.04M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.271/wrn16_10_svhn-0278-b87185c8.npz.log)) |\n| WRN-28-10 | 2.71 | 36,479,194 | 5,246.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.276/wrn28_10_svhn-0271-59f255be.npz.log)) |\n| WRN-40-8 | 2.54 | 35,748,314 | 5,176.90M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.277/wrn40_8_svhn-0254-8af6aad0.npz.log)) |\n| WRN-20-10-1bit | 2.73 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_1bit_svhn-0273-4d7bfe0d.npz.log)) |\n| WRN-20-10-32bit | 2.59 | 26,737,140 | 4,019.14M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.302/wrn20_10_32bit_svhn-0259-af3fddd1.npz.log)) |\n| RoR-3-56 | 2.69 | 762,746 | 113.43M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.287/ror3_56_svhn-0269-113859bb.npz.log)) |\n| RoR-3-110 | 2.57 | 1,637,690 | 242.07M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.287/ror3_110_svhn-0257-4b8b6963.npz.log)) |\n| RoR-3-164 | 2.73 | 2,512,634 | 370.72M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.294/ror3_164_svhn-0273-1d0a2f12.npz.log)) |\n| RiR | 2.68 | 9,492,980 | 1,281.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.292/rir_svhn-0268-5240bc96.npz.log)) |\n| Shake-Shake-ResNet-20-2x16d | 3.17 | 541,082 | 81.78M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.295/shakeshakeresnet20_2x16d_svhn-0317-261fd59f.npz.log)) |\n| Shake-Shake-ResNet-26-2x32d | 2.62 | 2,923,162 | 428.89M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.295/shakeshakeresnet26_2x32d_svhn-0262-844e1f6d.npz.log)) |\n| DIA-ResNet-20 | 3.23 | 286,866 | 41.54M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet20_svhn-0323-f37bac8b.npz.log)) |\n| DIA-ResNet-56 | 2.68 | 870,162 | 129.31M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet56_svhn-0268-7ea0022b.npz.log)) |\n| DIA-ResNet-110 | 2.47 | 1,745,106 | 264.71M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet110_svhn-0247-515ce8f3.npz.log)) |\n| DIA-ResNet-164(BN) | 2.44 | 1,923,002 | 343.60M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.340/diaresnet164bn_svhn-0244-4773b518.npz.log)) |\n| DIA-PreResNet-20 | 3.03 | 286,674 | 41.52M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet20_svhn-0303-d682b80f.npz.log)) |\n| DIA-PreResNet-56 | 2.80 | 869,970 | 129.28M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet56_svhn-0280-7a984a63.npz.log)) |\n| DIA-PreResNet-110 | 2.42 | 1,744,914 | 264.69M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet110_svhn-0242-2bab754f.npz.log)) |\n| DIA-PreResNet-164(BN) | 2.56 | 1,922,106 | 343.37M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.343/diapreresnet164bn_svhn-0256-30de9b3b.npz.log)) |\n\n### CUB-200-2011\n\n| Model | Error, % | Params | FLOPs/2 | Remarks |\n| --- | ---: | ---: | ---: | --- |\n| ResNet-10 | 27.60 | 5,008,392 | 893.63M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.335/resnet10_cub-2760-e8bdefb0.npz.log)) |\n| ResNet-12 | 26.67 | 5,082,376 | 1,125.84M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.336/resnet12_cub-2667-22b2b216.npz.log)) |\n| ResNet-14 | 24.34 | 5,377,800 | 1,357.53M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.337/resnet14_cub-2434-57f6a73d.npz.log)) |\n| ResNet-16 | 23.21 | 6,558,472 | 1,588.93M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.338/resnet16_cub-2321-5e48b19f.npz.log)) |\n| ResNet-18 | 23.33 | 11,279,112 | 1,820.00M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.344/resnet18_cub-2333-c32998b4.npz.log)) |\n| ResNet-26 | 22.61 | 17,549,832 | 2,746.38M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.345/resnet26_cub-2261-56c8fcc1.npz.log)) |\n| SE-ResNet-10 | 27.42 | 5,052,932 | 893.86M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet10_cub-2742-b8e56acf.npz.log)) |\n| SE-ResNet-12 | 25.99 | 5,127,496 | 1,126.17M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet12_cub-2599-9c0ee8cf.npz.log)) |\n| SE-ResNet-14 | 23.68 | 5,425,104 | 1,357.92M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet14_cub-2368-b58cddb7.npz.log)) |\n| SE-ResNet-16 | 23.18 | 6,614,240 | 1,589.35M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet16_cub-2318-1d8b187c.npz.log)) |\n| SE-ResNet-18 | 23.21 | 11,368,192 | 1,820.47M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet18_cub-2321-7b1d02a7.npz.log)) |\n| SE-ResNet-26 | 22.54 | 17,683,452 | 2,747.08M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.361/seresnet26_cub-2254-5cbf65d2.npz.log)) |\n| MobileNet x1.0 | 23.56 | 3,411,976 | 578.98M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.346/mobilenet_w1_cub-2356-02c2accf.npz.log)) |\n| ProxylessNAS Mobile | 21.90 | 3,055,712 | 331.44M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.347/proxylessnas_mobile_cub-2190-a9c66b1b.npz.log)) |\n| NTS-Net | 12.86 | 28,623,333 | 33,361.79M | From [yangze0930/NTS-Net] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.334/ntsnet_cub-1286-4d759524.npz.log)) |\n\n### Pascal VOC20102\n\n| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks |\n| --- | --- | ---: | ---: | ---: | ---: | --- |\n| PSPNet | ResNet(D)-101b | 96.57 | 76.26 | 65,708,501 | 230,771.01M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_voc-7626-f90c0db9.npz.log)) |\n| DeepLabv3 | ResNet(D)-101b | 96.57 | 75.66 | 58,754,773 | 47,625.34M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_voc-7566-6a4f805f.npz.log)) |\n| DeepLabv3 | ResNet(D)-152b | 97.25 | 78.06 | 74,398,421 | 59,894.87M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd152b_voc-7806-1c3089b5.npz.log)) |\n| FCN-8s(d) | ResNet(D)-101b | 97.80 | 80.40 | 52,072,917 | 196,562.96M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_voc-8040-3568dc41.npz.log)) |\n\n### ADE20K\n\n| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks |\n| --- | --- | ---: | ---: | ---: | ---: | --- |\n| PSPNet | ResNet(D)-50b | 68.95 | 27.46 | 46,782,550 | 162,595.14M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd50b_ade20k-2746-7b7ce568.npz.log)) |\n| PSPNet | ResNet(D)-101b | 75.14 | 32.86 | 65,774,678 | 231,008.79M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_ade20k-3286-c5e619c4.npz.log)) |\n| DeepLabv3 | ResNet(D)-50b | 74.63 | 31.96 | 39,795,798 | 32,756.18M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd50b_ade20k-3196-00903dce.npz.log)) |\n| DeepLabv3 | ResNet(D)-101b | 77.81 | 35.17 | 58,787,926 | 47,651.23M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_ade20k-3517-46828740.npz.log)) |\n| FCN-8s(d) | ResNet(D)-50b | 76.92 | 33.39 | 33,146,966 | 128,387.08M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd50b_ade20k-3339-1d03bc38.npz.log)) |\n| FCN-8s(d) | ResNet(D)-101b | 79.01 | 35.88 | 52,139,094 | 196,800.73M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_ade20k-3588-ff385e19.npz.log)) |\n\n### Cityscapes\n\n| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks |\n| --- | --- | ---: | ---: | ---: | ---: | --- |\n| PSPNet | ResNet(D)-101b | 92.72 | 57.57 | 65,707,475 | 230,767.33M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_cityscapes-5757-2e2315d4.npz.log)) |\n\n### COCO\n\n| Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks |\n| --- | --- | ---: | ---: | ---: | ---: | --- |\n| PSPNet | ResNet(D)-101b | 88.99 | 54.67 | 65,708,501 | 230,771.01M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.297/pspnet_resnetd101b_coco-5467-69033558.npz.log)) |\n| DeepLabv3 | ResNet(D)-101b | 90.10 | 59.06 | 58,754,773 | 47,625.34M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd101b_coco-5906-2811b3cd.npz.log)) |\n| DeepLabv3 | ResNet(D)-152b | 90.52 | 61.07 | 74,398,421 | 275,087.91M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.298/deeplabv3_resnetd152b_coco-6107-80ddcd96.npz.log)) |\n| FCN-8s(d) | ResNet(D)-101b | 91.44 | 60.11 | 52,072,917 | 196,562.96M | From [dmlc/gluon-cv] ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.299/fcn8sd_resnetd101b_coco-6011-4a469997.npz.log)) |\n\n[dmlc/gluon-cv]: https://github.com/dmlc/gluon-cv\n[tornadomeet/ResNet]: https://github.com/tornadomeet/ResNet\n[Cadene/pretrained...pytorch]: https://github.com/Cadene/pretrained-models.pytorch\n[ShichenLiu/CondenseNet]: https://github.com/ShichenLiu/CondenseNet\n[clavichord93/MENet]: https://github.com/clavichord93/MENet\n[clavichord93/FD-MobileNet]: https://github.com/clavichord93/FD-MobileNet\n[tensorpack/tensorpack]: https://github.com/tensorpack/tensorpack\n[dyhan0920/Pyramid...PyTorch]: https://github.com/dyhan0920/PyramidNet-PyTorch\n[zeusees/Mnasnet...Model]: https://github.com/zeusees/Mnasnet-Pretrained-Model\n[szagoruyko/diracnets]: https://github.com/szagoruyko/diracnets\n[szagoruyko/functional-zoo]: https://github.com/szagoruyko/functional-zoo\n[fyu/drn]: https://github.com/fyu/drn\n[quark0/darts]: https://github.com/quark0/darts\n[soeaver/AirNet-PyTorch]: https://github.com/soeaver/AirNet-PyTorch\n[soeaver/mxnet-model]: https://github.com/soeaver/mxnet-model\n[Jongchan/attention-module]: https://github.com/Jongchan/attention-module\n[kevin-ssy/FishNet]: https://github.com/kevin-ssy/FishNet\n[ucbdrive/dla]: https://github.com/ucbdrive/dla\n[sacmehta/ESPNetv2]: https://github.com/sacmehta/ESPNetv2\n[jhjacobsen/pytorch-i-revnet]: https://github.com/jhjacobsen/pytorch-i-revnet\n[wielandbrendel/bag...models]: https://github.com/wielandbrendel/bag-of-local-features-models\n[MIT-HAN-LAB/ProxylessNAS]: https://github.com/MIT-HAN-LAB/ProxylessNAS\n[yangze0930/NTS-Net]: https://github.com/yangze0930/NTS-Net\n[rwightman/pyt...models]: https://github.com/rwightman/pytorch-image-models\n\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/osmr/imgclsmob",
        "keywords": "machine-learning deep-learning neuralnetwork image-classification chainer imagenet cifar svhn vgg resnet pyramidnet diracnet densenet condensenet wrn drn dpn darknet fishnet espnetv2 xdensnet squeezenet squeezenext shufflenet menet mobilenet igcv3 mnasnet darts xception inception polynet nasnet pnasnet ror proxylessnas dianet efficientnet image-segmentation voc ade20k cityscapes coco pspnet deeplabv3 fcn",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "chainercv2",
        "package_url": "https://pypi.org/project/chainercv2/",
        "platform": "",
        "project_url": "https://pypi.org/project/chainercv2/",
        "project_urls": {
            "Homepage": "https://github.com/osmr/imgclsmob"
        },
        "release_url": "https://pypi.org/project/chainercv2/0.0.49/",
        "requires_dist": [
            "requests",
            "chainer (>=5.0.0)"
        ],
        "requires_python": "",
        "summary": "Image classification and segmentation models for Chainer",
        "version": "0.0.49"
    },
    "last_serial": 5692011,
    "releases": {
        "0.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "39b4c185f95c1d82422fe36491d4a6fb",
                    "sha256": "d4668885b29487a30f205ef240fbeb82cc712cfe1c9ce2ef4101c9246d16396b"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.1-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "39b4c185f95c1d82422fe36491d4a6fb",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 62220,
                "upload_time": "2018-09-12T05:17:57",
                "url": "https://files.pythonhosted.org/packages/1d/72/c8c0a730c7ffb66ef45715a0e1541672ff40c8d0358bc41949e0f143b81a/chainercv2-0.0.1-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "d709718881b41089308c462605abe833",
                    "sha256": "025299646536c5e6ce3a48c01b9bb8f4100e9afee66dddaa14cc219ff610b800"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "d709718881b41089308c462605abe833",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 36621,
                "upload_time": "2018-09-12T05:17:58",
                "url": "https://files.pythonhosted.org/packages/c8/84/8984a12c058144872ec5f651ab579957aa7f200e431e6fc0a26187b68d77/chainercv2-0.0.1.tar.gz"
            }
        ],
        "0.0.10": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "e3ce10d48cf045f1cb5aa67085397eab",
                    "sha256": "f6825565723ee1f4d25f9561b17157bbbead7de397ac685af93fb2187d894789"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.10-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "e3ce10d48cf045f1cb5aa67085397eab",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 77049,
                "upload_time": "2018-11-05T18:53:29",
                "url": "https://files.pythonhosted.org/packages/8a/f7/2f4df39736a9f992a1716e616a9f6cab4842aee7911b591fe06eaa23bae6/chainercv2-0.0.10-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "9722bd274e25c449648c22491ef2a42f",
                    "sha256": "93450f5a9cb83a11b399fc8b6352afc3ec2f0b6104e4aa1e358d0b8057a25359"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.10.tar.gz",
                "has_sig": false,
                "md5_digest": "9722bd274e25c449648c22491ef2a42f",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 42690,
                "upload_time": "2018-11-05T18:53:31",
                "url": "https://files.pythonhosted.org/packages/94/47/15a5da99ce8bda4c3b74ef0522b1bb7db8ddfac08495875e4f1171dd8662/chainercv2-0.0.10.tar.gz"
            }
        ],
        "0.0.11": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "77d16c55d86b0982066254970964a52f",
                    "sha256": "28e12a4b6449d0bfe7944edcf9a02904112e07a760124ee1578cf8b543b0a7bb"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.11-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "77d16c55d86b0982066254970964a52f",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 85456,
                "upload_time": "2018-11-08T20:43:08",
                "url": "https://files.pythonhosted.org/packages/bc/b1/73cace11403257bafece6a0de2dbeb3ff1e5b6e494a3a6b600b7295ec446/chainercv2-0.0.11-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "578d8aae3ea78c354ee02232d8bdb8c2",
                    "sha256": "3f7d096cd76f790a676f3434d07d7a47e97227c861f69a9aecc87fde6627c032"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.11.tar.gz",
                "has_sig": false,
                "md5_digest": "578d8aae3ea78c354ee02232d8bdb8c2",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 48169,
                "upload_time": "2018-11-08T20:43:09",
                "url": "https://files.pythonhosted.org/packages/4b/28/6bab1943c2a12ee4402dffdcff1228c4a6769dce75884a70a9c0ec2155bc/chainercv2-0.0.11.tar.gz"
            }
        ],
        "0.0.12": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "b3324733d09cc2182f4d54b0beff7301",
                    "sha256": "904a17752790729d1df7c4f320391cd59857e60a267255e8fb39a3c5ecda4387"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.12-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "b3324733d09cc2182f4d54b0beff7301",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 86183,
                "upload_time": "2018-11-10T11:55:16",
                "url": "https://files.pythonhosted.org/packages/d2/36/7bf45a47b13c16bf7cd3e3abc461668d3de85a56c01e9af791e38be23265/chainercv2-0.0.12-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "2b88670de613a307a59027e61ca8c38a",
                    "sha256": "6e9e0451f0c197c1795136be67f5d8f2ef5596462c2e1de27883d3ecc3edd681"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.12.tar.gz",
                "has_sig": false,
                "md5_digest": "2b88670de613a307a59027e61ca8c38a",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 48989,
                "upload_time": "2018-11-10T11:55:18",
                "url": "https://files.pythonhosted.org/packages/98/ef/d5edc3e82402573cda5eb0471bc441783ff71050933c20e21566952245cb/chainercv2-0.0.12.tar.gz"
            }
        ],
        "0.0.13": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "d886f64ec05b840bdaa934466debef7c",
                    "sha256": "1a2d492c762b211357e341299db45da9b687a278515ab97e5bd41f6cb0331613"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.13-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "d886f64ec05b840bdaa934466debef7c",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 89626,
                "upload_time": "2018-11-12T04:54:14",
                "url": "https://files.pythonhosted.org/packages/16/3b/eda69413586b494ee923bf58b132843abe01ef88a6d8022396344c7d9d0d/chainercv2-0.0.13-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "c4dadd4da26755c9958bbe1f1a9d0d90",
                    "sha256": "66c0eef6112d2885849bdbb4670443c66ae6113c491a701dedd953c22eef12f6"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.13.tar.gz",
                "has_sig": false,
                "md5_digest": "c4dadd4da26755c9958bbe1f1a9d0d90",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 50399,
                "upload_time": "2018-11-12T04:54:16",
                "url": "https://files.pythonhosted.org/packages/c0/a9/99e41a87e27d5a5821575ca546343eeca6d9a461e97e6e2283f74dd76c5e/chainercv2-0.0.13.tar.gz"
            }
        ],
        "0.0.14": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "98e3b4becd4d4f6f73903e977ad20c28",
                    "sha256": "ee150c4089f69f9261c9543f630b9e9f17821228ac48686d9edd453294f06129"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.14-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "98e3b4becd4d4f6f73903e977ad20c28",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 92614,
                "upload_time": "2018-11-15T05:18:26",
                "url": "https://files.pythonhosted.org/packages/9e/0b/36b43665c0e408fa55f51419a3fe0ff22a7ce2deaa21633ac016b8513216/chainercv2-0.0.14-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "374547e066061d4e55a569b801b48364",
                    "sha256": "ec4da1861277782cbd163aecb4f3e9a4ff9fcdd62cb363b1d774728312247d80"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.14.tar.gz",
                "has_sig": false,
                "md5_digest": "374547e066061d4e55a569b801b48364",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 51249,
                "upload_time": "2018-11-15T05:18:27",
                "url": "https://files.pythonhosted.org/packages/46/70/d4bdc251165ba4f3803bd11c3dcdd3b4e67ca1e1e781ef70015f94924d1e/chainercv2-0.0.14.tar.gz"
            }
        ],
        "0.0.15": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "c052cf71bab3938270973607683483bc",
                    "sha256": "0861ca5db410330f35621f3e3f9196df95735866b23c60dcc345674e253691c6"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.15-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "c052cf71bab3938270973607683483bc",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 95759,
                "upload_time": "2018-11-18T19:37:36",
                "url": "https://files.pythonhosted.org/packages/67/2a/9deead06f222dc5e12fa424dcd8f2a9bb5ee5fad7abea1acbd8efc2b57e9/chainercv2-0.0.15-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "2af62fccaf65a08831c5e37a4f649e0b",
                    "sha256": "69a3c5ec2d7d8f108f1a057bd85ec03e00e9f048062f30bb217d8697c6b3f8f1"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.15.tar.gz",
                "has_sig": false,
                "md5_digest": "2af62fccaf65a08831c5e37a4f649e0b",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 52409,
                "upload_time": "2018-11-18T19:37:38",
                "url": "https://files.pythonhosted.org/packages/09/68/3ebde8b902e27c9c06b5c79193a6b68d081c719ef021408b329c6923e7e5/chainercv2-0.0.15.tar.gz"
            }
        ],
        "0.0.16": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "422ddb111135f8d3cd3ad1fbbc2d7f20",
                    "sha256": "2ec58be35699ff940cfb3415a8a842f34fe321febcca8529547de545bd6c9f94"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.16-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "422ddb111135f8d3cd3ad1fbbc2d7f20",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 95792,
                "upload_time": "2018-11-19T20:27:54",
                "url": "https://files.pythonhosted.org/packages/fa/12/e8b6b05848d48ec33c5e5ce7260f199d4a923b9b7a047fe75716fc1bf1fa/chainercv2-0.0.16-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "e7d941869a07f33446e45df79fe6b648",
                    "sha256": "a55d96a43aee4bea07875b582bb3d180da12f41877eff334d18ed0e577101993"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.16.tar.gz",
                "has_sig": false,
                "md5_digest": "e7d941869a07f33446e45df79fe6b648",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 52456,
                "upload_time": "2018-11-19T20:27:56",
                "url": "https://files.pythonhosted.org/packages/53/cc/d8cac60004dcd67c1dad6d665eabe258f24d6f01e1b9fc861e1102a04be8/chainercv2-0.0.16.tar.gz"
            }
        ],
        "0.0.17": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "0d7cd0a1f0faf6295212b52b16fef9bb",
                    "sha256": "55184bdcbba513d82430c096dfb16e87014c4f12599ea6b2b38ba64baa4826e2"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.17-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "0d7cd0a1f0faf6295212b52b16fef9bb",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 106109,
                "upload_time": "2018-11-22T22:19:36",
                "url": "https://files.pythonhosted.org/packages/47/a4/5a384df020faefff0100ee83c1358b121cbdf5fbf15c578df033dfca760a/chainercv2-0.0.17-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "dc5a21e65cc8f3dc725a3587f87d1cf6",
                    "sha256": "16eff6f8ba8499da2385ceed713f29ed3afd9ae8f981a7506decf9e8017282fd"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.17.tar.gz",
                "has_sig": false,
                "md5_digest": "dc5a21e65cc8f3dc725a3587f87d1cf6",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 56078,
                "upload_time": "2018-11-22T22:19:37",
                "url": "https://files.pythonhosted.org/packages/97/3a/533c826cb7c6c030c10521c63e3407b0c2ae8e73c0fca4b4c4d03f021449/chainercv2-0.0.17.tar.gz"
            }
        ],
        "0.0.18": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "21caf5a050a4710a67aaf55e5a02c66d",
                    "sha256": "4d915560625d83165dac61c5a4d1622239b2e6cb8b3559d7ac64eeaa4a806f73"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.18-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "21caf5a050a4710a67aaf55e5a02c66d",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 109167,
                "upload_time": "2018-11-24T15:29:42",
                "url": "https://files.pythonhosted.org/packages/1c/f3/27b44e29d57d630fcb8a30c7fa03e0f1b00728b159244d5809dcb284e88b/chainercv2-0.0.18-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "8517648b08e484ae77500e8408aeb3b3",
                    "sha256": "a27a9ac0ebac57aa0d18ad21742bda680b75923e681564f2bef485493c52b66f"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.18.tar.gz",
                "has_sig": false,
                "md5_digest": "8517648b08e484ae77500e8408aeb3b3",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 55580,
                "upload_time": "2018-11-24T15:29:44",
                "url": "https://files.pythonhosted.org/packages/6e/db/9a64e29c8c6bc0f88c3af3e4945118fdc35bffe10183dc1a6d25d96a064c/chainercv2-0.0.18.tar.gz"
            }
        ],
        "0.0.19": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "7356cc9afe7b71d01622bf5246d7dccf",
                    "sha256": "d798f177beee90f87996d4dfec03e8b3dbff872695518119bdf0a3c83b4d09e6"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.19-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "7356cc9afe7b71d01622bf5246d7dccf",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 113055,
                "upload_time": "2018-11-26T19:05:47",
                "url": "https://files.pythonhosted.org/packages/bb/9f/97a55e8ac678d3579227d7e1b1bb787076f26cbad6f7d8e67f2619f8d149/chainercv2-0.0.19-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "583c2e5ee88dd37467341f6bdf675ef4",
                    "sha256": "5348447643fd6da44c2be2aa7e594ed44377177f9cfba9c696ade7d3610ad28d"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.19.tar.gz",
                "has_sig": false,
                "md5_digest": "583c2e5ee88dd37467341f6bdf675ef4",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 58350,
                "upload_time": "2018-11-26T19:05:49",
                "url": "https://files.pythonhosted.org/packages/08/bf/90cc49b9f5a5ab446b8ad9620146e3cf0175156ca383287438d0a7ed0474/chainercv2-0.0.19.tar.gz"
            }
        ],
        "0.0.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "cbcdf40bada897876d8e8ce3a6c8c37f",
                    "sha256": "0cb7503f6920665dae18f5b839f71414fd7875f59c44ab0fb0937f1fa4cfa9dd"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.2-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "cbcdf40bada897876d8e8ce3a6c8c37f",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 62256,
                "upload_time": "2018-09-12T18:17:21",
                "url": "https://files.pythonhosted.org/packages/dc/df/1b686a50f53c5dcbbabb4aa50127cf87b2f37d46ed80f92af06c3f066aa4/chainercv2-0.0.2-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "77e5e0cd5549e75787cc4c04bbcbf252",
                    "sha256": "44cca75e96f7c6dbd1d3b0f04fc4b00d719b4583ed23abd97027716d5c5cf4f5"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.2.tar.gz",
                "has_sig": false,
                "md5_digest": "77e5e0cd5549e75787cc4c04bbcbf252",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 36725,
                "upload_time": "2018-09-12T18:17:22",
                "url": "https://files.pythonhosted.org/packages/a4/d6/fa73ea617a07eacef4e8b9a09fda59e1bf955f6c616b327012c5fe59a0c6/chainercv2-0.0.2.tar.gz"
            }
        ],
        "0.0.20": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "8ed794fcf6052d927b0d49a5eea01756",
                    "sha256": "0a45d431669d6ba36c5b3c45959e7886ff4262cb412fffcc070bce949b52f9cb"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.20-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "8ed794fcf6052d927b0d49a5eea01756",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 116115,
                "upload_time": "2018-11-27T21:20:43",
                "url": "https://files.pythonhosted.org/packages/86/0b/669fe60da0733d81956f3f28dec8aef858bfb080799254067a3dc192104d/chainercv2-0.0.20-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "bbac1a258bfc84a94da549b42c4f18ee",
                    "sha256": "e2f52513f86ae5e25504c4e347b5ef902d3d5c094864188fd1f1245426d5cbd7"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.20.tar.gz",
                "has_sig": false,
                "md5_digest": "bbac1a258bfc84a94da549b42c4f18ee",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 59535,
                "upload_time": "2018-11-27T21:20:45",
                "url": "https://files.pythonhosted.org/packages/62/93/e40625d65deba25f8bf9542e820f55733de9e2a63eeb6f5502392caca077/chainercv2-0.0.20.tar.gz"
            }
        ],
        "0.0.21": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "2ca87cc6d4dca58fc12348a976ae438a",
                    "sha256": "d03027cf66c43ec8712dd46618d3dab89d6273d68aaa71a82d93756aff347b47"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.21-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "2ca87cc6d4dca58fc12348a976ae438a",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 122127,
                "upload_time": "2018-11-30T07:12:36",
                "url": "https://files.pythonhosted.org/packages/0d/5b/41a429d89f368c7235c70ddf02a6b033384e7d994393620723a8d9a7b58a/chainercv2-0.0.21-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "1662c3c9435cdee0a41cb4e2e6e6af6c",
                    "sha256": "b553ed7cfa499d3f3c5ce792196e027785719f956d03ad92b0b754c837d88ce8"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.21.tar.gz",
                "has_sig": false,
                "md5_digest": "1662c3c9435cdee0a41cb4e2e6e6af6c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 61901,
                "upload_time": "2018-11-30T07:12:38",
                "url": "https://files.pythonhosted.org/packages/37/60/402a46df835a7dafb1177b6c00248fd90fb97fda86bfca5176b4a487b973/chainercv2-0.0.21.tar.gz"
            }
        ],
        "0.0.22": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "e0d9e9538ce454977ddbae664c6713ba",
                    "sha256": "a95a5a139f9b588ed1edb059c3a248885d2ed21cb650742364cbe4084f755b1a"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.22-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "e0d9e9538ce454977ddbae664c6713ba",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 128838,
                "upload_time": "2018-12-02T12:39:13",
                "url": "https://files.pythonhosted.org/packages/90/d0/8c4100c042dd5ba9ad2d6430ba0fba58a616d5d1230f23b86d10bd588a8b/chainercv2-0.0.22-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "f0e140fbc4a920c33143b8a7c236347c",
                    "sha256": "ad3ba9557570b37b5c79386decaf7e85f3b2185fc67a8de104110f1e53cd1f2d"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.22.tar.gz",
                "has_sig": false,
                "md5_digest": "f0e140fbc4a920c33143b8a7c236347c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 64554,
                "upload_time": "2018-12-02T12:39:15",
                "url": "https://files.pythonhosted.org/packages/a1/c6/0f254bd3124c980d239091c4b12d7e39b58832a05fdab638b62df05fef0e/chainercv2-0.0.22.tar.gz"
            }
        ],
        "0.0.23": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "af39a8c40d0aae3bce3c5ea3da70e3bd",
                    "sha256": "53cffa78e51955c75870729d96273de472205433665d716c1b6f7a99bc4f744f"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.23-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "af39a8c40d0aae3bce3c5ea3da70e3bd",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 141166,
                "upload_time": "2018-12-09T19:26:51",
                "url": "https://files.pythonhosted.org/packages/20/3c/a7f7e9a568abd1cd4cad23e7f3874438efe1ce51aa628d27dabcc16c1389/chainercv2-0.0.23-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "234de21644c3f2c19638273af2040542",
                    "sha256": "8e51d149a66fe363de37f3eee1c13ecf9a75abf7f218cc0d343b01a4fc8234de"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.23.tar.gz",
                "has_sig": false,
                "md5_digest": "234de21644c3f2c19638273af2040542",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 69028,
                "upload_time": "2018-12-09T19:26:53",
                "url": "https://files.pythonhosted.org/packages/79/93/97edabd566f76c40f4f6297bfe944cea841cd86499b687bdaeded686c07c/chainercv2-0.0.23.tar.gz"
            }
        ],
        "0.0.24": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "7e8a77d8b9b14edd3fec3b3694de1a13",
                    "sha256": "b6756e2d1aeeecca7c5ee82083da6259b860521c27eca59f7a6029003540c66f"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.24-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "7e8a77d8b9b14edd3fec3b3694de1a13",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 141172,
                "upload_time": "2018-12-15T07:29:19",
                "url": "https://files.pythonhosted.org/packages/b4/74/ab45ea2ee8e4ae45eaa5758c807fdbebe6f4bbf410013f496f4c4ffb3519/chainercv2-0.0.24-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "7f588f738eb07d5e8a149d580449fd25",
                    "sha256": "639102faeba6cddc090378c03adb3983408834c1c122db92e98d0e6160b6694b"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.24.tar.gz",
                "has_sig": false,
                "md5_digest": "7f588f738eb07d5e8a149d580449fd25",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 69038,
                "upload_time": "2018-12-15T07:29:21",
                "url": "https://files.pythonhosted.org/packages/d6/fb/9aa60975c0b18eea2eb4ba1c1621ffb8e138b869744993bebd298635f23e/chainercv2-0.0.24.tar.gz"
            }
        ],
        "0.0.25": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "5e6e820d5b3eb4a8c0dc54286326cac4",
                    "sha256": "0eb72259b6b19e379503216cde43c55159126ec8421e63965c121e43c2de0295"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.25-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "5e6e820d5b3eb4a8c0dc54286326cac4",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 143883,
                "upload_time": "2018-12-22T07:26:15",
                "url": "https://files.pythonhosted.org/packages/11/07/4924e43576399565d88644cbabed736a780d7e18c0c9d79eddfff32970b2/chainercv2-0.0.25-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "f036e23524343574f8e0831a29b9dac9",
                    "sha256": "6c9670af7b5a4a2f54b608d19b2c74c08e916cfdcd7ba2f7e9cd0383ec46aef7"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.25.tar.gz",
                "has_sig": false,
                "md5_digest": "f036e23524343574f8e0831a29b9dac9",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 70567,
                "upload_time": "2018-12-22T07:26:18",
                "url": "https://files.pythonhosted.org/packages/01/c3/f089aafe3aa736628840c86a152491ee9b6f18623e52b8a649f48334da32/chainercv2-0.0.25.tar.gz"
            }
        ],
        "0.0.26": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "48a0d3cca2d572a7fd731d06b2830a27",
                    "sha256": "f04a09a5b8fbfd16c476640c53da589f912c6ad86e3bf6ee13eba7b1d0a062be"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.26-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "48a0d3cca2d572a7fd731d06b2830a27",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 149111,
                "upload_time": "2018-12-27T07:17:48",
                "url": "https://files.pythonhosted.org/packages/17/1c/d78c63f154d48813a4df5cf1ed97051dd4f6d83929c6e606b09ad8ba63a1/chainercv2-0.0.26-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "7ff1ed209ab6f32bee2d108383bf634b",
                    "sha256": "a27fc59092ff3483d0b54e787da8d7974021661f0706cbdf34913a12ce6cfca0"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.26.tar.gz",
                "has_sig": false,
                "md5_digest": "7ff1ed209ab6f32bee2d108383bf634b",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 72957,
                "upload_time": "2018-12-27T07:17:50",
                "url": "https://files.pythonhosted.org/packages/90/d0/849d81d54ff95f3bba3379b7b120888315bf64ac90684507073423461d8b/chainercv2-0.0.26.tar.gz"
            }
        ],
        "0.0.27": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "8275930331fe3b0fe3b03521a83eee62",
                    "sha256": "de8a9471227a6245707853ea1a9bb1a2a19ffe0c35ab2e94635e6a3849d6808d"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.27-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "8275930331fe3b0fe3b03521a83eee62",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 153710,
                "upload_time": "2019-01-06T16:11:41",
                "url": "https://files.pythonhosted.org/packages/15/1f/6db7bd38913f84e3944a0c689e8d9d57268b843bd7368687b64599823895/chainercv2-0.0.27-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "50659f8140a1f6a6e7c95dd4e18e7ae3",
                    "sha256": "1c3a3e3a9a0cd61e48faf1be103833a60d74ee606ba19405e299f9ea39c1826d"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.27.tar.gz",
                "has_sig": false,
                "md5_digest": "50659f8140a1f6a6e7c95dd4e18e7ae3",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 74970,
                "upload_time": "2019-01-06T16:11:43",
                "url": "https://files.pythonhosted.org/packages/c5/8a/2c5f627d08af7409234fccd773fbce926a2f9e4b72f686c45ea8d8f944d0/chainercv2-0.0.27.tar.gz"
            }
        ],
        "0.0.28": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "bfaf535a3211762ab8ea90d7dfd4c840",
                    "sha256": "dac0fbcebb0d39687d458f9393e7ef8f3762c3138a8d8983c379e13291f1640a"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.28-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "bfaf535a3211762ab8ea90d7dfd4c840",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 161761,
                "upload_time": "2019-01-13T21:46:40",
                "url": "https://files.pythonhosted.org/packages/84/2e/5129798a5534a3d83f640703215a9969cda4699b9bd70c8ff4f159a3404d/chainercv2-0.0.28-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "5f1ee8676ce89b5a96872fd8e29cc97b",
                    "sha256": "a4406ea0239035a3dad0b5419d54e979f8da529fee91c6f504ccb529e3d4bf97"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.28.tar.gz",
                "has_sig": false,
                "md5_digest": "5f1ee8676ce89b5a96872fd8e29cc97b",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 77467,
                "upload_time": "2019-01-13T21:46:42",
                "url": "https://files.pythonhosted.org/packages/50/c9/113b58d685f892499cdff14d798d06d1987664b453b13423c87102e0bb8e/chainercv2-0.0.28.tar.gz"
            }
        ],
        "0.0.29": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "a0a680e97ecb679413876191e4b67195",
                    "sha256": "e1243dcd6cafb1c54c1a612c22a092efe0f81f51651d393eb906dcf59cc0ef88"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.29-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "a0a680e97ecb679413876191e4b67195",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 166202,
                "upload_time": "2019-01-16T17:59:27",
                "url": "https://files.pythonhosted.org/packages/62/39/040a5969ec005c3c016fee5fcd2f76f70fca1c14771eccddc603e3df9786/chainercv2-0.0.29-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "38d99a4441b7e11b16fb1ee6baaca04c",
                    "sha256": "d453de3dcd0c4d2566215d27f1896216faad712a06dd2f20e525d256b4d46605"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.29.tar.gz",
                "has_sig": false,
                "md5_digest": "38d99a4441b7e11b16fb1ee6baaca04c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 80488,
                "upload_time": "2019-01-16T17:59:29",
                "url": "https://files.pythonhosted.org/packages/69/c4/88d9172eb76e0e49138b6a9cbe587bb2d428f8f745c688a4fea7b3105ce6/chainercv2-0.0.29.tar.gz"
            }
        ],
        "0.0.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "ccfb080ade5aa337e5bfa832cd1503fc",
                    "sha256": "3f79d423f140a5dd0ebc7819b63d952c1ce8e127eab7987f103d874d2595e4c0"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.3-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "ccfb080ade5aa337e5bfa832cd1503fc",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 62257,
                "upload_time": "2018-09-13T06:07:25",
                "url": "https://files.pythonhosted.org/packages/ea/05/c4c6d24191db9aa468af6dbf934de7ac2d849ba3b18aa70f848cc0edd04c/chainercv2-0.0.3-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "6ba42d3aea373c094cc18f45e8e17dac",
                    "sha256": "4849851bdee7813cb5b47b8d0ec6173c48209c8a9a77e3c911d69cf4a28436bd"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.3.tar.gz",
                "has_sig": false,
                "md5_digest": "6ba42d3aea373c094cc18f45e8e17dac",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 36723,
                "upload_time": "2018-09-13T06:07:27",
                "url": "https://files.pythonhosted.org/packages/61/a2/6fcb1ddaada15ce3196f38bcbf2d4f9d988fdb008d8445460083eb301bae/chainercv2-0.0.3.tar.gz"
            }
        ],
        "0.0.30": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "8e1c7df6b5b20a1ef897f4cdc277ff0d",
                    "sha256": "d203c7e402c44dda58951ba1c6be4808576af70209393cad2fc4adad52394030"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.30-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "8e1c7df6b5b20a1ef897f4cdc277ff0d",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 165903,
                "upload_time": "2019-01-20T10:59:26",
                "url": "https://files.pythonhosted.org/packages/ac/ce/55afabc514bf7c74cb04f6b36521e5ffc2a6e355fbf7cd53f56c24834524/chainercv2-0.0.30-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "87d0ef9f6ea879d93dbe67294e55e024",
                    "sha256": "d2bc7582af883368177c60fae55293822343d9a356d4916ce52a229548e81669"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.30.tar.gz",
                "has_sig": false,
                "md5_digest": "87d0ef9f6ea879d93dbe67294e55e024",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 80373,
                "upload_time": "2019-01-20T10:59:28",
                "url": "https://files.pythonhosted.org/packages/ef/86/ff9bb6373c5387a03e2d13397fb2b891ba7162d68035f091d28864f52ca9/chainercv2-0.0.30.tar.gz"
            }
        ],
        "0.0.31": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "880a3e37205f7875aedb8f0e1d57241d",
                    "sha256": "98abc3a5a01e095f9f9b1a2127360f005ab41a1503e80b6edc47d9caba90c333"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.31-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "880a3e37205f7875aedb8f0e1d57241d",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 173931,
                "upload_time": "2019-01-20T18:59:27",
                "url": "https://files.pythonhosted.org/packages/b7/b0/db786db64245bee001916c9bf6e389a1459359a44cb869c91faa1b0b77b0/chainercv2-0.0.31-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "1f639e7f243a9bf7696ea8dc5b4f3df3",
                    "sha256": "0e76779959a41ba07b159f06beb8b930a7dafd686ded2d20cdd771d7c0b9a613"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.31.tar.gz",
                "has_sig": false,
                "md5_digest": "1f639e7f243a9bf7696ea8dc5b4f3df3",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 104821,
                "upload_time": "2019-01-20T18:59:29",
                "url": "https://files.pythonhosted.org/packages/68/36/db4291f39591af524b9386dbe9a1a6e7e48bd82c5e61035f02e270ac8396/chainercv2-0.0.31.tar.gz"
            }
        ],
        "0.0.32": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "a9dc7c63f7b83387115e26c1b86531df",
                    "sha256": "7f6fbee9c51a8451d83ebc42545e3a86980b87bd69bf0cb0c2860bff4d82d498"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.32-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "a9dc7c63f7b83387115e26c1b86531df",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 192573,
                "upload_time": "2019-01-30T07:27:55",
                "url": "https://files.pythonhosted.org/packages/61/6c/95ee7f2abbbbe96f4554019311440d1e47e6fc88f36025e135882d9aab02/chainercv2-0.0.32-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "a18a57ece96a46c817b588cdaddc8d4a",
                    "sha256": "a4398fdeb8b2a5c32d32a30126353bbcda99b568c2b0950242565cd149fda958"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.32.tar.gz",
                "has_sig": false,
                "md5_digest": "a18a57ece96a46c817b588cdaddc8d4a",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 112620,
                "upload_time": "2019-01-30T07:27:57",
                "url": "https://files.pythonhosted.org/packages/48/15/ace8dce2a7a6cab1fe75d08ef96b3c7c71d36a3614fa1d59e0a21edc37fb/chainercv2-0.0.32.tar.gz"
            }
        ],
        "0.0.33": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "f873e09c01965df794d5e05c7bcea423",
                    "sha256": "3cbd4f3d08c0283d6eccc24693facc06cd16be80c80ca06fe0e4a46a966ddbf8"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.33-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "f873e09c01965df794d5e05c7bcea423",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 197162,
                "upload_time": "2019-02-03T21:00:34",
                "url": "https://files.pythonhosted.org/packages/af/2d/b26754216906374ac46a54c5c99484d0f0c3db68e5ac27cb25414e4108a3/chainercv2-0.0.33-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "77204b39232a0b01862ff0cdec6a9036",
                    "sha256": "3f013ab9d4ef9d4c4e722b72bd644d1bd1f30559694f6d2ba61a43dc601359c5"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.33.tar.gz",
                "has_sig": false,
                "md5_digest": "77204b39232a0b01862ff0cdec6a9036",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 117192,
                "upload_time": "2019-02-03T21:00:36",
                "url": "https://files.pythonhosted.org/packages/f4/c9/c47cbfb0883a46baf41ddc1b0071665af2911cbf3a8c091aeb5fe21dd4ac/chainercv2-0.0.33.tar.gz"
            }
        ],
        "0.0.34": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "0fc23dc60abd7863f70240e07fb8664b",
                    "sha256": "9693d6115d039c0baaadb72beb1fa8fadfba6a554b524c821b5093eb7f3b7a76"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.34-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "0fc23dc60abd7863f70240e07fb8664b",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 197370,
                "upload_time": "2019-02-06T19:35:06",
                "url": "https://files.pythonhosted.org/packages/ad/a9/6439f9e69985b1cbc9bb21f224f28b1e5fd5766acb13ce90a94b2f8de969/chainercv2-0.0.34-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "a3895d587493c3464b4af937413f769f",
                    "sha256": "d15d830a38c4a1870958bfb92a5b9f209785452d28a1b315b8c4aff647e87f03"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.34.tar.gz",
                "has_sig": false,
                "md5_digest": "a3895d587493c3464b4af937413f769f",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 117580,
                "upload_time": "2019-02-06T19:35:10",
                "url": "https://files.pythonhosted.org/packages/14/9b/ec459d074b5a1a9b1b581e732fdf70574862f8e188778fc0627916139e1a/chainercv2-0.0.34.tar.gz"
            }
        ],
        "0.0.35": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "f3d08116e74da2ad9ba339ea585bbb3a",
                    "sha256": "ed8af777dbea99eedccd3b594a31de170781daf6acb8dac7b1247299ce56be03"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.35-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "f3d08116e74da2ad9ba339ea585bbb3a",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 197444,
                "upload_time": "2019-02-10T23:25:42",
                "url": "https://files.pythonhosted.org/packages/62/70/3502f0739cc0b10e8246bb02a8763e75032a75cf4429bd1ad39cf0e4d49d/chainercv2-0.0.35-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "bf60109db113cbb6eb0520d34c3858a8",
                    "sha256": "f8a12c480dc78e27bc97a075538c1b1770886101ed9e6c31b7f01faaaff31928"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.35.tar.gz",
                "has_sig": false,
                "md5_digest": "bf60109db113cbb6eb0520d34c3858a8",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 117739,
                "upload_time": "2019-02-10T23:25:44",
                "url": "https://files.pythonhosted.org/packages/7a/d4/82dfd1e69648b5ff484af5cf51f7213ba671cfe9d55beadbda2ab0f8b196/chainercv2-0.0.35.tar.gz"
            }
        ],
        "0.0.36": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "9753aac140c2103e18856463315ebc44",
                    "sha256": "dc8421946ae51fee5a2c10919ced4ac2101775d754893492ab115bedc5001fdb"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.36-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "9753aac140c2103e18856463315ebc44",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 220345,
                "upload_time": "2019-02-18T22:49:16",
                "url": "https://files.pythonhosted.org/packages/bc/84/65be2925f55f7178b0616850fafe3118f2dcccda13f4861b32506f7bba3b/chainercv2-0.0.36-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "76d23b5ea279acf106cd3fc09eda9d4c",
                    "sha256": "dfa514b25ff56b5dfa14551ca6b091b576011fb24aaa613e9605a5dbf86b0a00"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.36.tar.gz",
                "has_sig": false,
                "md5_digest": "76d23b5ea279acf106cd3fc09eda9d4c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 130066,
                "upload_time": "2019-02-18T22:49:18",
                "url": "https://files.pythonhosted.org/packages/41/50/5d4af5aa2f2541c0b48c0532ec361c2a2277d569d4895b5285439f0c0ecc/chainercv2-0.0.36.tar.gz"
            }
        ],
        "0.0.37": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "07cd0667084250cf138402fd0f97b0a0",
                    "sha256": "dcc74648cd602d23987690da05f4fdcad413e90a0d7f44cc3caeb913c5e7d743"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.37-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "07cd0667084250cf138402fd0f97b0a0",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 224814,
                "upload_time": "2019-02-21T05:05:45",
                "url": "https://files.pythonhosted.org/packages/46/6a/53f4d9d40e09cb9da88f25580ebca402d4da495842c721cf9e2b59b4ab50/chainercv2-0.0.37-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "06ed47c1806a5059b87d9df5d6c891ff",
                    "sha256": "1800d1033442f81e3218e6c3cbe34d8093853654fe1feb2fdc3ce46f90b400be"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.37.tar.gz",
                "has_sig": false,
                "md5_digest": "06ed47c1806a5059b87d9df5d6c891ff",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 133943,
                "upload_time": "2019-02-21T05:05:48",
                "url": "https://files.pythonhosted.org/packages/47/33/0383ed01d77541abd6629fa424efee7a7f8624b0ffc03df4d89aaab598c8/chainercv2-0.0.37.tar.gz"
            }
        ],
        "0.0.38": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "460b44f1b355a0c0732ad96322822277",
                    "sha256": "6d86f5b211c384cb234a0a2322ac1b9c02aa5187b50098303157bd0f5dd5a044"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.38-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "460b44f1b355a0c0732ad96322822277",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 227806,
                "upload_time": "2019-03-03T20:29:27",
                "url": "https://files.pythonhosted.org/packages/d8/00/e5e403453f45d4de634068a5b90f389a9668cb63fee4ade5778f597f6aae/chainercv2-0.0.38-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "e17559991b2fafb310d226924f18b23e",
                    "sha256": "3608af23ded8758f6bebf92c1e045859c9bf1666d2be4122ce77afb10928b4bf"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.38.tar.gz",
                "has_sig": false,
                "md5_digest": "e17559991b2fafb310d226924f18b23e",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 135927,
                "upload_time": "2019-03-03T20:29:29",
                "url": "https://files.pythonhosted.org/packages/13/e8/2787f0d72ecd6cfb8b33723e0b1b1553cc31505b3eb944e5041c3c5d00a7/chainercv2-0.0.38.tar.gz"
            }
        ],
        "0.0.39": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "004b1abbb02916941d0c41b9d8434be9",
                    "sha256": "52b4b352924c3b14515f7faca00e0912f84b4e18504b204ff476a8b5440085c1"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.39-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "004b1abbb02916941d0c41b9d8434be9",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 234922,
                "upload_time": "2019-03-10T14:07:30",
                "url": "https://files.pythonhosted.org/packages/77/25/d1677220fcdcc13c0694b55d6d95338f1e5c07a270335f0c72ebe4d3474e/chainercv2-0.0.39-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "f840f1d56b737ccb9f2ea5677388a114",
                    "sha256": "08df3da97bf8c7fa8eefe72b43f62d0195d447fe1fab8eae6bc953acccc8ec5e"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.39.tar.gz",
                "has_sig": false,
                "md5_digest": "f840f1d56b737ccb9f2ea5677388a114",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 140667,
                "upload_time": "2019-03-10T14:07:32",
                "url": "https://files.pythonhosted.org/packages/37/0d/3a8beab6d55b33c7ddb5d95fa6069bff40a7bd073fcecd089b21be732e4d/chainercv2-0.0.39.tar.gz"
            }
        ],
        "0.0.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "084e92aca01d785510061c90a1c2ccea",
                    "sha256": "bbf751b0e6ed4f0768aa36e6c85db4f0cdf0d9e89a29505957030e0af0393b10"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.4-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "084e92aca01d785510061c90a1c2ccea",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 62298,
                "upload_time": "2018-09-18T06:37:42",
                "url": "https://files.pythonhosted.org/packages/30/d7/aaee64c990e0a82b8654a2cfb3433864cbce6b5577f2e81a04698b4e33a7/chainercv2-0.0.4-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "5ffb81969d048490e703f3854feffa37",
                    "sha256": "5a02aaa7be2418f98f63d8e97fda9ed87993bef9aebcaaf92595d1f6541f4266"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.4.tar.gz",
                "has_sig": false,
                "md5_digest": "5ffb81969d048490e703f3854feffa37",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 36772,
                "upload_time": "2018-09-18T06:37:44",
                "url": "https://files.pythonhosted.org/packages/4b/f9/d665f7360e9eac66bce08c0e395cb37e78ec8a9d4fff0ddfeb1bc5633a20/chainercv2-0.0.4.tar.gz"
            }
        ],
        "0.0.40": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "3208206d8cbcd9208f8b9f8cc4ab4136",
                    "sha256": "488ef2d497aba7ae367c5e45fd6037d6cb3e320d419199a90cb08a6ddc4628f4"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.40-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "3208206d8cbcd9208f8b9f8cc4ab4136",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 236019,
                "upload_time": "2019-03-14T05:48:13",
                "url": "https://files.pythonhosted.org/packages/aa/50/df709ca58f65c5f71fad097d6a6991da4701a60a6d7a55b77d17e079e633/chainercv2-0.0.40-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "dc40414a50ceb7ff6328787e1d3ebc90",
                    "sha256": "2e234ee9b2ad19ede2dda6aaed379e257853b07d120e3366dd48e12e98b62c3a"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.40.tar.gz",
                "has_sig": false,
                "md5_digest": "dc40414a50ceb7ff6328787e1d3ebc90",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 142766,
                "upload_time": "2019-03-14T05:48:16",
                "url": "https://files.pythonhosted.org/packages/44/5a/276a56c2a1729abccfaf02f111b1f071f12889305669bd453a2a3b8c8870/chainercv2-0.0.40.tar.gz"
            }
        ],
        "0.0.41": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "7a393cf2a656e5d5b23cf07b881e9720",
                    "sha256": "103d79436fd0ef431aa1f4a46ff7fd0915a029d94f3cf8111618425eb2fc9979"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.41-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "7a393cf2a656e5d5b23cf07b881e9720",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 237934,
                "upload_time": "2019-03-18T19:08:32",
                "url": "https://files.pythonhosted.org/packages/26/aa/99d41d084cb5e0596528331a2b5c838aa99ef75dcdce9718c9013816da2e/chainercv2-0.0.41-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "3d319bce5d14183eeaf23c81e3b6e05d",
                    "sha256": "44fa8e02dacc92eefd7518a21efd6f11855926b88241d73afce4717f8c4a6a8a"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.41.tar.gz",
                "has_sig": false,
                "md5_digest": "3d319bce5d14183eeaf23c81e3b6e05d",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 146617,
                "upload_time": "2019-03-18T19:08:34",
                "url": "https://files.pythonhosted.org/packages/89/af/84170aeafee8e7be883969871fea2cd5a4e53e1b3f17f6d8445f07854bfc/chainercv2-0.0.41.tar.gz"
            }
        ],
        "0.0.42": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "6b454a348c491eb8a47475fa1351b064",
                    "sha256": "68db2aafa24a8872a462b068e5075b2460089773a53b2419cbc41508abb65f61"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.42-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "6b454a348c491eb8a47475fa1351b064",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 252738,
                "upload_time": "2019-04-04T18:05:52",
                "url": "https://files.pythonhosted.org/packages/d6/d3/28502991b216a5865de735ca1dd98ee24e52bd675276d52cd1804817e28d/chainercv2-0.0.42-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "6d0debb24b2b09f6b75f0c224e80f222",
                    "sha256": "9f8c7d8e136fa1813b620a0a6faa070320c48c3b1a20e8d9724ed62cb6d6da12"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.42.tar.gz",
                "has_sig": false,
                "md5_digest": "6d0debb24b2b09f6b75f0c224e80f222",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 160126,
                "upload_time": "2019-04-04T18:05:54",
                "url": "https://files.pythonhosted.org/packages/7b/0b/1b2a4a54ea9a25ee995bb5a49a522991ea8c7228ac4b5120c5184fb60712/chainercv2-0.0.42.tar.gz"
            }
        ],
        "0.0.43": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "da363850f98169b8325e0459ef7bd9f1",
                    "sha256": "e9caa452c606a2e8a28600a9193410c8036b23a867e97eb8a2682c9ce9c46e90"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.43-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "da363850f98169b8325e0459ef7bd9f1",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 269917,
                "upload_time": "2019-04-17T05:45:50",
                "url": "https://files.pythonhosted.org/packages/18/44/60f54d44a0df97d024df213c1c25da7e83f0ce09601b625f578e302db527/chainercv2-0.0.43-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "db6f5dd15e3ca7be0659629256025337",
                    "sha256": "d34bf0501839c93f317dacd026633be4a65916476fd68f023fd5fb3a8d3b1683"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.43.tar.gz",
                "has_sig": false,
                "md5_digest": "db6f5dd15e3ca7be0659629256025337",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 171090,
                "upload_time": "2019-04-17T05:45:52",
                "url": "https://files.pythonhosted.org/packages/de/9e/ff93afe2077fc266b31af7480433ae4d77d3ae5b3f930901ef61f0ecaad4/chainercv2-0.0.43.tar.gz"
            }
        ],
        "0.0.44": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "eebb2d9f028adceed440ae2635c44d89",
                    "sha256": "16752eff7aae94fdb7d94d76d1bf5c1209f29ef52dbd12f74c0f54f4090ef326"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.44-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "eebb2d9f028adceed440ae2635c44d89",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 275831,
                "upload_time": "2019-04-27T08:43:35",
                "url": "https://files.pythonhosted.org/packages/67/a0/b3ee61f7faa2e42322b3f53cc83fe32ecd6471f08f6390fe5df3c2c5ad95/chainercv2-0.0.44-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "9a161efa2fa77b2162e2514edfbf2957",
                    "sha256": "b4018cbffeae67afb42533500a650fb1f9ed8438a849c6363c62f6ad1b125915"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.44.tar.gz",
                "has_sig": false,
                "md5_digest": "9a161efa2fa77b2162e2514edfbf2957",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 177393,
                "upload_time": "2019-04-27T08:43:39",
                "url": "https://files.pythonhosted.org/packages/25/c5/ed0ff58c03dc4baef62a1dfc734f7007417b10ce44347f3919e59b3e4549/chainercv2-0.0.44.tar.gz"
            }
        ],
        "0.0.45": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "9fc1547e3abe05e3b368226af753f0e8",
                    "sha256": "a55b3418f83a353798e0f324c013473f8d1bace4d63c93d0599f8e398fc2d863"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.45-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "9fc1547e3abe05e3b368226af753f0e8",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 295850,
                "upload_time": "2019-05-31T19:44:13",
                "url": "https://files.pythonhosted.org/packages/7b/b0/7664488a216309e2c7f4bb4de0e1d3f3041bf9606eb77b7695549c3fea58/chainercv2-0.0.45-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "dabb20985523575db1b187b58483cce4",
                    "sha256": "eeb8e24ec9bbc711708349d8f94d720abb6d679866cef645de363ea3f9f11735"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.45.tar.gz",
                "has_sig": false,
                "md5_digest": "dabb20985523575db1b187b58483cce4",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 191219,
                "upload_time": "2019-05-31T19:44:18",
                "url": "https://files.pythonhosted.org/packages/7f/d4/66d7d6f01d831e2e8b04b76a748bf0d98cbece2ecf75eeb14480d57f3452/chainercv2-0.0.45.tar.gz"
            }
        ],
        "0.0.46": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "b787c9f24e3948bf847fa1504a5df95d",
                    "sha256": "89ce7f05e7890710500a5c13422db136f68ef08e1b170b79d2fc0d8fa7fbd479"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.46-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "b787c9f24e3948bf847fa1504a5df95d",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 318960,
                "upload_time": "2019-06-11T07:19:14",
                "url": "https://files.pythonhosted.org/packages/d3/83/5871c85c8129e33d5b88b5bf64c70406e52e74bb31c491d6c21b14f640a3/chainercv2-0.0.46-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "8d5f09eec7192c065676717c59c96264",
                    "sha256": "c841c38198f828fe972008cff6ddf338aee9ad84dfe03ffc7f1cf3d6de8bfef2"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.46.tar.gz",
                "has_sig": false,
                "md5_digest": "8d5f09eec7192c065676717c59c96264",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 207269,
                "upload_time": "2019-06-11T07:19:18",
                "url": "https://files.pythonhosted.org/packages/5b/10/ceb9e55f4e8f6f4bc3e134ab55f8e559a26cd7c3cf9551cbe4da0c9480f2/chainercv2-0.0.46.tar.gz"
            }
        ],
        "0.0.47": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "f775f0f8d6fd038e4eb71d28594d6f67",
                    "sha256": "daef703c53b474bf20336069900146d5ebb5dd7db870d90027168a5d9eebfe56"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.47-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "f775f0f8d6fd038e4eb71d28594d6f67",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 326494,
                "upload_time": "2019-07-02T19:38:40",
                "url": "https://files.pythonhosted.org/packages/9e/cf/dea7450a776ec866a1a5d0887b0a5b1c16e48a460443f8026d196068da90/chainercv2-0.0.47-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "cce3ec4d12e8e3d94bcba8b3c937eef9",
                    "sha256": "554021c9c1a70d768199aeca8728a95b8854d0eb70dcdc65cc602298589f205e"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.47.tar.gz",
                "has_sig": false,
                "md5_digest": "cce3ec4d12e8e3d94bcba8b3c937eef9",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 215131,
                "upload_time": "2019-07-02T19:38:43",
                "url": "https://files.pythonhosted.org/packages/6a/f9/7ce6384435bf3505734683349df9285b77d6a362f637ac502cf28b48bc1a/chainercv2-0.0.47.tar.gz"
            }
        ],
        "0.0.48": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "f522a12f9c8db82f2bda26f2b024b1c5",
                    "sha256": "eecaf093fc782ab10bbdce48d0f7b93d92a274e798192b181d681a1c9ed6c95b"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.48-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "f522a12f9c8db82f2bda26f2b024b1c5",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 333289,
                "upload_time": "2019-07-27T18:13:36",
                "url": "https://files.pythonhosted.org/packages/1a/61/9f3c858380da105c5284069903550831c296c5b1e82d12cf2757017be17a/chainercv2-0.0.48-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "50d4513448082d00c05081c17f15293c",
                    "sha256": "60908fc4952b9a90bb7c6ccbbf0c3a8da549fb247f82a9ebf410bb122162eef4"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.48.tar.gz",
                "has_sig": false,
                "md5_digest": "50d4513448082d00c05081c17f15293c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 222648,
                "upload_time": "2019-07-27T18:13:39",
                "url": "https://files.pythonhosted.org/packages/9c/93/0ee3e0f852c8c0d19a1377f1dd60a4b6da40700645dc2b3f6a2bf1c66b83/chainercv2-0.0.48.tar.gz"
            }
        ],
        "0.0.49": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "3ce7ac7261df6397a363c9bcff6a0ca2",
                    "sha256": "06ea7d5d5ff5b87304d93669b737a907c87340b72961c1f3eb098ff21dfb5754"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.49-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "3ce7ac7261df6397a363c9bcff6a0ca2",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 341498,
                "upload_time": "2019-08-17T15:50:54",
                "url": "https://files.pythonhosted.org/packages/b1/2b/0d1a5d6ec10cb42da6f060cd19e9e3a62beadbdad85f3e0b134676ba5ac4/chainercv2-0.0.49-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "716617270173954153922497a2af0a51",
                    "sha256": "80268d3d548498e5562e31e785ee362dc07984f068102d12737f4cbd95b5401e"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.49.tar.gz",
                "has_sig": false,
                "md5_digest": "716617270173954153922497a2af0a51",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 230483,
                "upload_time": "2019-08-17T15:50:56",
                "url": "https://files.pythonhosted.org/packages/40/f5/a27a2de7d4374d21c3fe41eb39eeda24be10c1255e81a61b696887469c55/chainercv2-0.0.49.tar.gz"
            }
        ],
        "0.0.5": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "6b6fcb51acb6476dd07426fd4ab4ec62",
                    "sha256": "3dd2ab2e579148d82202b2936bcd39ae91eb6c5d48e90585eca20f11ba102b82"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.5-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "6b6fcb51acb6476dd07426fd4ab4ec62",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 62320,
                "upload_time": "2018-09-20T20:14:23",
                "url": "https://files.pythonhosted.org/packages/93/79/cf798c895f6694d5131af2bccccaa0ec81348e550cd27efc02540287ac79/chainercv2-0.0.5-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "62d5f55f60df31d9e8e08c0a93770bc9",
                    "sha256": "355668e70d78bb5cb11a7b9d000fc8e47258fa4fce3c7f41e75517f0ddf43e93"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.5.tar.gz",
                "has_sig": false,
                "md5_digest": "62d5f55f60df31d9e8e08c0a93770bc9",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 36801,
                "upload_time": "2018-09-20T20:14:24",
                "url": "https://files.pythonhosted.org/packages/dc/c2/47ab257b77bfc5313d95e70c2083802ae33c2bcb3356da51d2b5c902bdb5/chainercv2-0.0.5.tar.gz"
            }
        ],
        "0.0.6": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "a41c1383670ff0ed25a1bbfe0734b5fa",
                    "sha256": "d4e1f51a8dc25b2b21be591d10b65c27cf0265baa14aba0c01e40f765dbaf5ce"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.6-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "a41c1383670ff0ed25a1bbfe0734b5fa",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 62329,
                "upload_time": "2018-09-25T17:57:30",
                "url": "https://files.pythonhosted.org/packages/f3/02/ed763dac6f3c5fd15b21ea480c7a147e54d4a49c0da6803d0fb3b2f1cdc3/chainercv2-0.0.6-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "b790f25c12e1b48539be8dbc1de16a0c",
                    "sha256": "8a1432640e1caf5f6049ae2f10b29d8c2e8cda9b34a3c04e1a432a87e04240d9"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.6.tar.gz",
                "has_sig": false,
                "md5_digest": "b790f25c12e1b48539be8dbc1de16a0c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 36821,
                "upload_time": "2018-09-25T17:57:31",
                "url": "https://files.pythonhosted.org/packages/92/c7/08f3b868d95f7646a52a86609f65fe64717c7d3bb52111ac2adc09afae81/chainercv2-0.0.6.tar.gz"
            }
        ],
        "0.0.7": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "8050eef2e04d1f815aa83516362a80b7",
                    "sha256": "1b67b4296748f8c6a474d163767b54714a3360a8ed3a2665b34e09cc6ff59c70"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.7-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "8050eef2e04d1f815aa83516362a80b7",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 62345,
                "upload_time": "2018-09-26T20:39:59",
                "url": "https://files.pythonhosted.org/packages/ee/e9/2473fee3fab1357da3a82418c30fc09416e6ee82fb748be408bcad23f5f5/chainercv2-0.0.7-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "2eac88c37a93e0b9afe51e70ac3fd550",
                    "sha256": "5a3c646178741f03b5021843b5d07a94eb72e642609446a41efecac677280c40"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.7.tar.gz",
                "has_sig": false,
                "md5_digest": "2eac88c37a93e0b9afe51e70ac3fd550",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 36830,
                "upload_time": "2018-09-26T20:40:00",
                "url": "https://files.pythonhosted.org/packages/d7/86/c6c79d2ce26bc88f2792b5182051e77f778f2d1ed16bbb4af8233e024da9/chainercv2-0.0.7.tar.gz"
            }
        ],
        "0.0.8": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "b6de3b6591cab4fd24fd083ddef5002d",
                    "sha256": "62dbe1b63f7f4632092109b89c7c7f0646565021d7a8a7af1f1ed90ed9cdbde8"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.8-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "b6de3b6591cab4fd24fd083ddef5002d",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 62431,
                "upload_time": "2018-10-11T18:49:14",
                "url": "https://files.pythonhosted.org/packages/9b/9d/6bf80529b1bdc4e424e3feae820a5653d8faa23ba8f5e85276f0f96a9a42/chainercv2-0.0.8-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "e9b568059fda22168693ca897da37ae0",
                    "sha256": "c786330ffddfbce72ae7ae344846b1b7b2c276395ef211303321398d935bf7da"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.8.tar.gz",
                "has_sig": false,
                "md5_digest": "e9b568059fda22168693ca897da37ae0",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 36927,
                "upload_time": "2018-10-11T18:49:15",
                "url": "https://files.pythonhosted.org/packages/3c/fb/518ba22daac2df85f173278988ef95af539e3aec8b10609dbe60032bebb7/chainercv2-0.0.8.tar.gz"
            }
        ],
        "0.0.9": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "195b3e56b42af2431503eddbc3f3db0a",
                    "sha256": "f94de9da9f36529000dbd48cc9e931c96a189dc936800a428050ae9b6c59e1b2"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.9-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "195b3e56b42af2431503eddbc3f3db0a",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 63545,
                "upload_time": "2018-10-30T05:53:50",
                "url": "https://files.pythonhosted.org/packages/b5/ae/c6f4096ce996e58f625c10d10c21601842818356fae1076bd67acc7e16b9/chainercv2-0.0.9-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "a00d6d6b31ede8866faf58a25b5f0607",
                    "sha256": "622ab904ab35897415d1868ca0451ab1419355a6ec1f3ee1b9c7f0cb385d0f10"
                },
                "downloads": -1,
                "filename": "chainercv2-0.0.9.tar.gz",
                "has_sig": false,
                "md5_digest": "a00d6d6b31ede8866faf58a25b5f0607",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 37257,
                "upload_time": "2018-10-30T05:53:52",
                "url": "https://files.pythonhosted.org/packages/87/65/254f852308c42997cdafaacb89c6812f6bfde39dc194f75506fd0363398e/chainercv2-0.0.9.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "3ce7ac7261df6397a363c9bcff6a0ca2",
                "sha256": "06ea7d5d5ff5b87304d93669b737a907c87340b72961c1f3eb098ff21dfb5754"
            },
            "downloads": -1,
            "filename": "chainercv2-0.0.49-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "3ce7ac7261df6397a363c9bcff6a0ca2",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": null,
            "size": 341498,
            "upload_time": "2019-08-17T15:50:54",
            "url": "https://files.pythonhosted.org/packages/b1/2b/0d1a5d6ec10cb42da6f060cd19e9e3a62beadbdad85f3e0b134676ba5ac4/chainercv2-0.0.49-py2.py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "716617270173954153922497a2af0a51",
                "sha256": "80268d3d548498e5562e31e785ee362dc07984f068102d12737f4cbd95b5401e"
            },
            "downloads": -1,
            "filename": "chainercv2-0.0.49.tar.gz",
            "has_sig": false,
            "md5_digest": "716617270173954153922497a2af0a51",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 230483,
            "upload_time": "2019-08-17T15:50:56",
            "url": "https://files.pythonhosted.org/packages/40/f5/a27a2de7d4374d21c3fe41eb39eeda24be10c1255e81a61b696887469c55/chainercv2-0.0.49.tar.gz"
        }
    ]
}