Python, Image Processing, Kernel, Matplotlib, TensorFlow.
image_array_small[:,:,1] + 0.1140 * image_array_small[:,:,2] print(grayscale_image_small) fig, ax = plt.subplots(figsize=(7, 7)) # Increase the figure size ax.imshow(grayscale_image_small, cmap='gray', interpolation='nearest') # Annotate each cell with the numeric value for (j, i), label in