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"info": {
"author": "Juan Francisco Chango",
"author_email": "jnfran92@gmail.com",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3"
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"description": "# Adaptive-Boxes\nPython Library for rectangular decomposition of 2D binary images.\n\n![\"sample1\"](\"./hires_images/intro_image.png\")
\n\nSee the CUDA GPU version: adaptive-boxes-gpu\n\n## Quick Start\n\nInstall `adabox` from PiP:\n\n pip install adaptive-boxes\n\n\nCall **adaptive-boxes** library\n\n from adabox import proc\n from adabox.plot_tools import plot_rectangles, plot_rectangles_only_lines\n\nCall others too:\n\n import numpy as np\n import matplotlib.pyplot as plt\n\nLoad data in `.csv` format. File should contain data with columns: `[x1_position x2_position flag]`. \nInitially, `flag = 0` (See `sample_data` folder).\n\n\n # Input Path\n in_path = './sample_data/sample_2.csv'\n\n # Load Demo data with columns [x_position y_position flag]\n data_2d = np.loadtxt(in_path, delimiter=\",\")\n\n\nIf you want to see data, plot using:\n\n # Plot demo data\n plt.scatter(data_2d[:, 0], data_2d[:, 1])\n plt.axis('scaled') \n\nDecompose data in rectangles, it returns a list of rectangles and a separation value needed to plot them.\n\n rectangles = []\n # Number of random searches, more is better!\n searches = 2 \n (rectangles, sep_value) = proc.decompose(data_2d, searches)\n print('Number of rectangles found: ' + str(len(rectangles))) \n\n\nPlot resulting rectangles\n\n plot_rectangles(rectangles, sep_value)\n\nor \n\n plot_rectangles_only_lines(rectangles, sep_value) \n\n\n## Output\n\n`Adabox` applied over: `./sample_data/` files. Click in the images to expand.\n\n### Hi-res images\n\n#### File: `sample_1.csv`\n\n![\"sample1\"](\"./hires_images/sample_1.jpg\")
\n\n#### File: `sample_2.csv`\n\n![\"sample2\"](\"./hires_images/sample_2.jpg\")
\n\n## Repo Content\n\nEach folder contains the next information:\n\n- data: Files with voxel information in Blender (`.ply` extension)\n- proto: Prototype scripts\n- results: Results of the heuristic process (`.json` extension)\n- lib: library scripts\n\n## More info\n\n\n\n",
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