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Use darknet for training.\n\nOriginal code(C implementation) \u0026 paper : http://pjreddie.com/darknet/yolo/\n\n### 2.Install\n(1) Download code\n\n(2) Download YOLO weight file from\n\nYOLO_small : https://drive.google.com/file/d/0B2JbaJSrWLpza08yS2FSUnV2dlE/view?usp=sharing\n\nYOLO_tiny  : https://drive.google.com/file/d/0B2JbaJSrWLpza0FtQlc3ejhMTTA/view?usp=sharing\n\nYOLO_face : https://drive.google.com/file/d/0B2JbaJSrWLpzMzR5eURGN2dMTk0/view?usp=sharing\n\n(3) Put the 'YOLO_(version).ckpt' in the 'weight' folder of downloaded code\n\n### 3.Usage\n\n(1) direct usage with default settings (display on console, show output image, no output file writing)\n\n\tpython YOLO_(small or tiny)_tf.py -fromfile (input image filename)\n\n(2) direct usage with custom settings\n\n\tpython YOLO_(small or tiny)_tf.py argvs\n\n\twhere argvs are\n\n\t-fromfile (input image filename) : input image file\n\t-disp_console (0 or 1) : whether display results on terminal or not\n\t-imshow (0 or 1) : whether display result image or not\n\t-tofile_img (output image filename) : output image file\n\t-tofile_txt (output txt filename) : output text file (contains class, x, y, w, h, probability)\n\n(3) import on other scripts\n\n\timport YOLO_(small or tiny)_tf\n\tyolo = YOLO_(small or tiny)_tf.YOLO_TF()\n\n\tyolo.disp_console = (True or False, default = True)\n\tyolo.imshow = (True or False, default = True)\n\tyolo.tofile_img = (output image filename)\n\tyolo.tofile_txt = (output txt filename)\n\tyolo.filewrite_img = (True or False, default = False)\n\tyolo.filewrite_txt = (True of False, default = False)\n\n\tyolo.detect_from_file(filename)\n\tyolo.detect_from_cvmat(cvmat)\n\n### 4.Requirements\n\n- Tensorflow\n- Opencv2\n\n### 5.Copyright\n\nAccording to the LICENSE file of the original code, \n- Me and original author hold no liability for any damages\n- Do not use this on commercial!\n\n### 6.Changelog\n2016/02/15 : First upload!\n\n2016/02/16 : Added YOLO_tiny, Fixed bug that ignores one of the boxes in grid when both boxes detected valid objects\n\n2016/08/26 : Uploaded weight file converter! (darknet weight -\u003e tensorflow ckpt)\n\n2017/02/21 : Added YOLO_face (Thanks https://github.com/quanhua92/darknet)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgliese581gg%2FYOLO_tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgliese581gg%2FYOLO_tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgliese581gg%2FYOLO_tensorflow/lists"}