How can I crop images, like I've done before in PIL, using OpenCV. Working example on PIL im = Image.open('0.png').convert('L') im = im.crop((1, 1, 98, 33)) im.save('_0.png') But how I can do it on OpenCV? This is what I tried: im = cv.imread('0.png', cv.CV_LOAD_IMAGE_GRAYSCALE) (thresh, im_bw) = cv.threshold(im, 128, 255, cv.THRESH_OTSU) im = cv.getRectSubPix(im_bw, (98, 33), (1, 1)) cv.imshow('I
The list of options is provided in preprocessor.proto: NormalizeImage normalize_image = 1; RandomHorizontalFlip random_horizontal_flip = 2; RandomPixelValueScale random_pixel_value_scale = 3; RandomImageScale random_image_scale = 4; RandomRGBtoGray random_rgb_to_gray = 5; RandomAdjustBrightness random_adjust_brightness = 6; RandomAdjustContrast random_adjust_contrast = 7; RandomAdjustHue random_ad
I've got a local video file (an .avi, but could be converted) that I would like to show a client (ie it is private and can't be published to the web), but I can't figure out how to play it in IPython notebook. After a little Googling it seems that maybe the HTML5 video tag is the way to go, but I don't know any html and can't get it to play. Any thoughts on how I can embed this?
I get the following error for the code snippet below: You must feed a value for placeholder tensor 'bidirectional_1/keras_learning_phase' with dtype bool If I add the dropout layer model.add(Dropout(dropout)), it works. Anyone knows why? The back-end is Tensorflow, Keras 2.0.1 def prep_model1(embedding_layer1, embedding_layer2, dropout=0.5): model0 = Sequential() model0.add(embedding_layer1) model
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