"infile_query = pwd + \"/black_background_1/*.jpg\"\n", "s_ret, s_th = cv2.threshold(s, 75, 255, cv2.THRESH_BINARY)\n", "b_ret_inv, b_th_inv = cv2.threshold(b, 125 ...
其中 5.5 SURF简介 章节 中由于OpenCV 4.4 专利问题 通过Conda创建了一个 python 3.6 + OpenCV 3.4.2.16 环境运行 而 9.3 高动态范围 章节 也由于OpenCV 4.4 中 createCalibrateRobertson 存在的bug而改用上面的 OpenCV 3.4 ...
The first-hand data is usually messy and comes from different sources and distributions. To feed them into the machine learning model they need to be standardized and cleaned up.
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