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    "info": {
        "author": "Aleksandr Patsekin",
        "author_email": "apatsekin@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# Synapse Computer Vision Tools\nMore details are provided in Notion page. \n\n## Requirements\n- Python 3.5+\n- OpenCV\n- Pillow\n- LXML\n- For TF Records - TensorFlow\n\n## Installation\nUsing PIP\n\n    pip3 import syncvtools\n\n### Visualize predictions from prod\n\n```\nfrom syncvtools.utils.draw_detections import DrawDetections\nfrom syncvtools.utils.parsers import ProdDetections, TFRecords, TFObjDetAPIDetections\n\nprod_dets = ProdDetections.parse_prod_detections(img_dir='IMAGE_DIRECTORY', predictions_dir='DETECTIONS_FILE_DIR')\ndrawer = DrawDetections(bbox_line_height=1, threshold=0.5)\nfor pro_det in prod_dets:\n    vis_img = drawer.draw_imageleveldetections(img_dets=prod_dets[pro_det])\n    cv2.imshow(\"predictions\", vis_img)\n    cv2.waitKey(0)\n```\n\n\n### Visualize predictions from TF training\n```\nfrom syncvtools.utils.draw_detections import DrawDetections\nfrom syncvtools.utils.parsers import ProdDetections, TFRecords, TFObjDetAPIDetections\n\ntf_inf = TFObjDetAPIDetections.parse_detections(detection_file='detections_and_losses.json')\ntf_gts = TFRecords.parse(tfrecord_src='val.tfrecord')\n#adding image info to predictions/gt\ntf_inf += tf_gts\nif label_map is not None:\n    tf_inf.process_labelmap('path_to_label_map.pbtxt')\n\ndrawer = DrawDetections(bbox_line_height=1, threshold=0.5)\n\n\nfor pro_det in tf_inf:\n    if not tf_inf[pro_det].detections and not tf_inf[pro_det].ground_truth:\n        continue #no gt/detections here\n    vis_img = drawer.draw_imageleveldetections(img_dets=tf_inf[pro_det])\n    cv2.imshow(\"predictions/gt from TF inference\", vis_img)\n    cv2.waitKey(0)\n```\n\n# utils\n\n```\nfrom syncvtools.utils import file_tools as ft\n\nft.get_file_list_by_ext(dir='input_path', ext=('jpg','png'))\n```\n\nReturns a list of string with full path to files with `ext` extension.\n\n\n\n",
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