image-preprocessing

来源： https://stackoverflow.com/questions/60116894/keras-altered-imagedatagenerator-gives-error-init-got-an-unexpected-keyw

问题 I am training a binary classifier on a dataset of cats and dogs: Total Dataset: 10000 images Training Dataset: 8000 images Validation/Test Dataset: 2000 images The Jupyter notebook code: # Part 2 - Fitting the CNN to the images train_datagen = ImageDataGenerator(rescale = 1./255, shear_range = 0.2, zoom_range = 0.2, horizontal_flip = True) test_datagen = ImageDataGenerator(rescale = 1./255) training_set = train_datagen.flow_from_directory('dataset/training_set', target_size = (64, 64), batch

问题 I am training a binary classifier on a dataset of cats and dogs: Total Dataset: 10000 images Training Dataset: 8000 images Validation/Test Dataset: 2000 images The Jupyter notebook code: # Part 2 - Fitting the CNN to the images train_datagen = ImageDataGenerator(rescale = 1./255, shear_range = 0.2, zoom_range = 0.2, horizontal_flip = True) test_datagen = ImageDataGenerator(rescale = 1./255) training_set = train_datagen.flow_from_directory('dataset/training_set', target_size = (64, 64), batch

问题 I'm trying to preprocess images dataset, represented in numpy array with images of shape (28, 28) by rescaling them to (10, 10). I wrote a function for that: def resize_dataset(images): resized_images = [] for img in images: img = img.reshape((28,28)) resized_img = cv2.resize(img, dsize=(10, 10)) resized_images.append(resized_img) return numpy.array(resized_images) But when I actually try to rescale them, I get the following error in cv2.resize : error: OpenCV(4.0.0) /io/opencv/modules

问题 I'm trying to preprocess images dataset, represented in numpy array with images of shape (28, 28) by rescaling them to (10, 10). I wrote a function for that: def resize_dataset(images): resized_images = [] for img in images: img = img.reshape((28,28)) resized_img = cv2.resize(img, dsize=(10, 10)) resized_images.append(resized_img) return numpy.array(resized_images) But when I actually try to rescale them, I get the following error in cv2.resize : error: OpenCV(4.0.0) /io/opencv/modules

问题 Here's a receipt image that I've got and I've plotted it using matplotlib and If you see the image the text in it is not straight. How can I de-skew and fix it? from skimage import io import cv2 # x1, y1, x2, y2, x3, y3, x4, y4 bbox_coords = [[20, 68], [336, 68], [336, 100], [20, 100]] image = io.imread('https://i.ibb.co/3WCsVBc/test.jpg') gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY) fig, ax = plt.subplots(figsize=(20, 20)) ax.imshow(gray, cmap='Greys_r') # for plotting bounding box

问题 Here's a receipt image that I've got and I've plotted it using matplotlib, # x1, y1, x2, y2, x3, y3, x4, y4 bbox_coords = [[650, 850], [1040, 850], [1040, 930], [650, 930]] image = cv2.imread(IMG_FILE) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) fig, ax = plt.subplots(figsize=(20, 20)) ax.imshow(gray, cmap='Greys_r'); rect = Polygon(bbox_coords, fill=False, linewidth=1, edgecolor='r') ax.add_patch(rect) plt.show() print(gray.shape) (4376, 2885) Then, I've cropped the original gray image

问题 Can anyone help me to convert an RGB colour space image to YUV colour space image and to YCbCr colour space image using opencv Python? 回答1: Use cv2.cvtColor(src, code) to convert Color-Space, the code starts with COLOR_ . You can use this to look for the color code. import cv2 ## get all color codes codes = [x for x in dir(cv2) if x.startswith("COLOR_")] ## print first three color codes print(codes[:3]) # ['COLOR_BAYER_BG2BGR', 'COLOR_BAYER_BG2BGRA', 'COLOR_BAYER_BG2BGR_EA'] ## print all

问题 Can anyone help me to convert an RGB colour space image to YUV colour space image and to YCbCr colour space image using opencv Python? 回答1: Use cv2.cvtColor(src, code) to convert Color-Space, the code starts with COLOR_ . You can use this to look for the color code. import cv2 ## get all color codes codes = [x for x in dir(cv2) if x.startswith("COLOR_")] ## print first three color codes print(codes[:3]) # ['COLOR_BAYER_BG2BGR', 'COLOR_BAYER_BG2BGRA', 'COLOR_BAYER_BG2BGR_EA'] ## print all

问题 I'm trying to convert this tflearn DCNN sample (using image preprocessing and augmemtation) to keras: Tflearn sample: import tflearn from tflearn.data_utils import shuffle, to_categorical from tflearn.layers.core import input_data, dropout, fully_connected from tflearn.layers.conv import conv_2d, max_pool_2d from tflearn.layers.estimator import regression from tflearn.data_preprocessing import ImagePreprocessing from tflearn.data_augmentation import ImageAugmentation # Data loading and