{
    "info": {
        "author": "Fernando P\u00e9rez",
        "author_email": "fernaperg@gmail.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
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            "Programming Language :: Python :: 3"
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        "description": "# opencv-draw-tools\nLibrary to help the drawing process with OpenCV. Thought to add labels to the images. Classification of images, etc.\n\n![image](https://user-images.githubusercontent.com/18369529/53686731-3dba0500-3d2b-11e9-95e5-e4517c013d14.png)\n\n**Image generated with Intel Openvino Toolkit and drawed with opencv-draw-tools v0.1.9**\n\n## Installation\n\n### Pre-requisites\n\nYou will need to install:\n\n* opencv >= 3.6.2\n* numpy >= 1.13.3\n* python-constraint >= 1.4.0\n\nYou can simply execute:\n`pip install -r requirements.txt`\n\nFinally you can install the library with:\n\n`pip install opencv-draw-tools-fernaperg`\n\nWhen you install `opencv-draw-tools`, it will automatically download `numpy` but not opencv becouse in some cases you will need another version.\n\n## Usage\n\n### Test\n\n```\nimport opencv_draw_tools as cv2_tools\n\nprint('Name: {}\\nVersion:{}\\nHelp:{}'.format(cv2_tools.name,cv2_tools.__version__,cv2_tools.help))\ncv2_tools.webcam_test()\n```\n### Oriented Object Programming method\n\nFirstly create a SelectorCV2 object. You can pass it optional parameters to configure the output.\n```\nselector = cv2_tools.SelectorCV2(color=(200,90,0), filled=True)\n```\n\nAlso you can configure it later using the method (all optional parameters):\n```\nselector.set_properties()\n```\n\nNow, each time you want to add a selected zone call the method:\n```\n\"\"\"\nCoordinates:\n\n(x1,y1)____(x2,y1)\n   |          |\n   |          |\n(x1,y2)____(x2,y2)\n\nTags (optional parameter):\n* It could be a normal string\n* A string with '\\n'\n* A list of strings\n* None / '' / [] / False\n\"\"\"\nselector.add_zone((x1,y1,x2,y2),tags=tag)\n```\n\nFinally, when you want to draw all the rectangles execute:\n```\nedited_frame = selector.draw(frame)\n```\n\nIf you want to use the same object multiple times you can easily change the content inside it:\n```\n# This method could help change rectangles to\nselector.set_range_valid_rectangles( origin, destination)\n\n# This method could help if you know exactly the indexes that you want to keep\n# Default = [], so if you just want to clean the buffer call this method without parameters\nset_valid_rectangles(indexes)\n```\n\nIf you want, you can see the example [detect_faces.py](opencv_draw_tools/detect_faces.py), it also use an open source library called `face_recognition`.\n\n\n### Manual method\n\n```\nimport opencv_draw_tools as cv2_tools\n\n\n\"\"\"\n  Draw better rectangles to select zones.\n  Keyword arguments:\n  frame -- opencv frame object where you want to draw\n  position -- touple with 4 elements (x1, y1, x2, y2)\n              This elements must be between 0 and 1 in case it is normalized\n              or between 0 and frame height/width.\n  tags -- list of strings/tags you want to associate to the selected zone (default [])\n  tag_position -- position where you want to add the tags, relatively to the selected zone (default None)\n                  If None provided it will auto select the zone where it fits better:\n                      - First try to put the text on the Bottom Rigth corner\n                      - If it doesn't fit, try to put the text on the Bottom Left corner\n                      - If it doesn't fit, try to put the text Inside the rectangle\n                      - Finally if it doesn't fit, try to put the text On top of the rectangle\n  alpha -- transparency of the selected zone on the image (default 0.9)\n           1 means totally visible and 0 totally invisible\n  color -- color of the selected zone, touple with 3 elements BGR (default (110,70,45) -> dark blue)\n           BGR = Blue - Green - Red\n  normalized -- boolean parameter, if True, position provided normalized (between 0 and 1) else you should provide concrete values (default False)\n  thickness -- thickness of the drawing in pixels (default 2)\n  filled -- boolean parameter, if True, will draw a filled rectangle with one-third opacity compared to the rectangle (default False)\n  peephole -- boolean parameter, if True, also draw additional effect, so it looks like a peephole\n\"\"\"\nframe = cv2_tools.select_zone(frame, position, tags=[])\n```\n\n### Example with Webcam\n\n```\nimport opencv_draw_tools as cv2_tools\ncv2_tools.webcam_test()\n```\n\nSee `webcam_test()` code:\n\n```\ndef webcam_test():\n    \"\"\"Reproduce Webcam in real time with a selected zone.\"\"\"\n    print('Launching webcam test')\n    cap = cv2.VideoCapture(0)\n    f_width = cap.get(3)\n    f_height = cap.get(4)\n    window_name = 'opencv_draw_tools'\n    while True:\n        ret, frame = cap.read()\n        frame = cv2.flip(frame, 1)\n        if ret:\n            keystroke = cv2.waitKey(1)\n            position = (0.33,0.2,0.66,0.8)\n            tags = ['MIT License', '(C) Copyright\\n    Fernando\\n    Perez\\n    Gutierrez']\n            frame = select_zone(frame, position, tags=tags, color=(130,58,14), thickness=2, filled=True, normalized=True)\n            cv2.imshow(window_name, frame)\n            # True if escape 'esc' is pressed\n            if keystroke == 27:\n                break\n    cv2.destroyAllWindows()\n    cv2.VideoCapture(0).release()\n```\n\n\n",
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