WebMay 12, 2024 · def load_image_into_numpy_array(image): (im_width, im_height) = image.size if image.getdata().mode == "RGBA": image = image.convert('RGB') np_array … WebApr 10, 2024 · cannot reshape array of size 31195104 into shape (300,224,224,3) I understand that 300 * 224 * 224 * 3 is not equal to 31195104 and that is why it's complaining. However, I don't understand why it's trying to reshape during load. Is the load method wrong, or is it the file? Should I be reshaping this data after loading?
numpy - cannot reshape array of size x into shape y error …
WebApr 1, 2024 · cannot reshape array of size 64 into shape (28,28) Ask Question Asked 4 years ago Modified 4 years ago Viewed 6k times 1 Not able to reshape the image in mnist dataset using sklean This is the starting portion of my code just load the data some_digit = X [880] some_digit_image = some_digit.reshape (28, 28) ERROR PART WebMay 8, 2024 · (ValueError: cannot reshape array of size 23400 into shape (100,2,93)) Definitely I'm passing the correct number of columns, no matter if I sample or not the features dataframe, as … florists in long island
numpy - ValueError: cannot reshape array of size …
WebNov 5, 2024 · Following is the snippet for taking image and then resizing it to (1,128,128,1)- def predit (): im = Image.open (request.files ['image']) image_data = np.asarray (im) input_img_flatten = cv2.resize (image_data, (128,128)).flatten () im2arr = np.reshape (input_img_flatten, (1,128,128,1)) return str (np.argmax (model.predict (im2arr))) WebJul 14, 2024 · If you try to reshape the array into something like (2,3) it would show the following error-ValueError: cannot reshape array of size 8 into shape (2,3) It is … WebDec 20, 2024 · 1 You can't use reshape an array into a different number of pixels. What you're looking for is a way to resize. You can use PIL for that. import numpy as np from PIL import Image img = np.random.randint (0, 255, (32, 32, 3)).astype ('uint8') # random image greece democracy today