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2018-10-31 06:15:12 -0600	marked best answer	how to decode by imdecode Hi, there! I'm using python cv2. Explain me, please, why does this code (below) returns None (I.e. `im == None` eventually) ? `# case 1 frame = np.random.uniform(0, 255, (768, 576, 3)) im = cv2.imdecode(frame, cv2.IMREAD_COLOR) print(im) # None we see in output # case 2 frame = np.random.uniform(0, 255, (768, 576)) im = cv2.imdecode(frame, cv2.IMREAD_UNCHANGED) print(im) # output is None as well # etc...` And show me the right way, please!
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2018-10-31 06:15:02 -0600	commented question	how to decode by imdecode I've just tried to read an image from a buffer in memory as is. Didn't need any coding like jpg etc. I guess, the closes
2018-10-31 06:14:47 -0600	commented question	how to decode by imdecode I've just tried to read an image from a buffer in memory as is. Didn't need any coding like jpg etc. I guess, the closes
2018-10-31 02:14:34 -0600	commented answer	how to decode by imdecode Thanks! Now it's clear
2018-10-31 02:13:48 -0600	commented question	how to decode by imdecode Yes I do. I wanted to read binary data from file. When I use C++, it's rather easy - just create cv::Mat instance from d
2018-10-30 14:59:36 -0600	asked a question	how to decode by imdecode how to decode by imdecode Hi, there! I'm using python cv2. Explain me, please, why does this code (below) returns None (
2018-02-22 08:52:55 -0600	commented answer	cv::Mat incorrect reading binary data The data in my file was in big-endian style, while cv::Mat was constructed as that had got in little-endian style. That
2018-02-22 02:41:20 -0600	answered a question	Reading FITS (Flexible Image Transport System) images You can map file into the memory by mmap (for example), and then construct cv::Mat object by data pointer. That's the mo
2013-11-14 17:48:52 -0600	received badge	● Self-Learner (source)
2013-11-14 14:12:29 -0600	answered a question	cv::Mat incorrect reading binary data I've got answer. The problem was in byte order. When cv::Mat creates new image from allocated memory, it use little-endian byte order, while my data was mapped in big-endian.
2013-10-29 07:03:55 -0600	commented question	cv::Mat incorrect reading binary data Thank you. The cols and rows is really not on their places - it's my misprint. It's not imshow flaw, because <im> contains bad pixels just after reading (I watch it, using debugger memory viewer - QtSDK). I have tried to convert, and saw the same result.
2013-10-28 11:55:47 -0600	asked a question	cv::Mat incorrect reading binary data Hello! Help me, please. I try to read fits-file (astronomical image with 16-bit depth) into the cv::Mat structure, but a lot of bright pixels (brightness >= appr.0x8500) after reading become dark. It looks like register overflow, but the "threshold" = 0x8500 is far from maximal 16-bit value = 0xffff. The code is below: `unsigned short *c = file.map(..., ..., ...); // file data maps to the memory on address c cv::Mat im(cols, rows, CV_16U, c); // after this a lot of image pixels (in im) is dark` Does anybody know why it's possible ? And how can I solve this trouble ? Thank you.