I am using the ResNet50 pretrained model to train my images using TensorFlow. I have 70k images and upgraded to Google Colab Pro, but still I am facing a memory error. So how many images I can train in Google Colab? And how much RAM is needed for 70k images?
This is how I labeled and loaded images from the drive.
labels =  imagePaths_generater = paths.list_images(Config.DATASET_PATH) imagePaths =  for item in imagePaths_generater: imagePaths.append(item) for imagePath in imagePaths: label = imagePath.split(os.path.sep)[-2].split("_") #print(label) image = load_img(imagePath, target_size=(224, 224)) image = img_to_array(image) image = preprocess_input(image) data.append(image) labels.append(label) data = np.array(data, dtype="float") labels = np.array(labels)```