image-preprocessing

Image preprocessing in convolutional neural network yields lower accuracy in Keras vs Tflearn

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,...

After cropping a image, how to find new bounding box coordinates?

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...

Image Preprocessing for OCR - Tessaract

Obviously this image is pretty tough as it is low clarity and is not a real word. However, with this code, I'm detecting nothing close: import pytesseract from PIL import Image, ImageEnhance, ImageFilter image_name = 'NedNoodleArms.jpg' im = Image.open(image_name) im = im.filter(ImageFilter...

Is this the correct way of whitening an image in python?

I am trying to zero-center and whiten CIFAR10 dataset, but the result I get looks like random noise! Cifar10 dataset contains 60,000 color images of size 32x32 . The training set contains 50,000 and test set contains 10,000 images respectively. The following snippets of code show the process I did...