All Questions

Take for example generating random a 7x5x3 RGB image. import numpy as np import matplotlib.pyplot as plt # Create a random 7x5x3 RGB image image = np.random.randint(0, 256, size=(7, 5, 3), dtype=np....

I want to be more efficient with my code. I have a PNG and I want to cut the image in boxes. The goal is to count the number of boxes where I have at least one none black pixel. I have only one ...

I got this Error : Traceback (most recent call last): File "/home/runner/Image-Loader/venv/lib/python3.8/site-packages/PIL/Image.py", line 2992, in fromarray mode, rawmode = ...

Is there a NumPy function or "way" to directly import an image as a 2D array of RGB 3-tuples instead of the usual 3D array of values? So far, I've arrived at this solution: from PIL import ...

I have a 2d (M * N) numpy array, where each cell contains a tuple of length 3. The tuple contains R, G, and B values for each pixel, e.g. A[0,0] = (0, 255, 0) Is there a way to show this array as an ...

I have a 3D NumPy Array with dimensions (224, 224, 3). The third dimension represents colors. I have only 21 colors in the whole picture so there are only 21 distinct values for each pixel. These are ...

The following code gives me black images and I can't understand why: Imports: import numpy as np from PIL import Image Code: arr2 = np.zeros((200,200), dtype=int) arr2[80:120,80:120]=1 im = Image....

I have extracted four channels from different color spaces and then want to combine the h,s, cb and cr channels. For this, I have converted them into a list and then appended them all one by one. ...

I cannot find a way to save my graphs and images. I have tried from from PIL import Image im = Image.fromarray() im.save("your_file.jpeg") but doesn't work!

I have a numpy.ndarray of shape (1,28,28) and values are floating point in range [0,1]. My ultimate goal is to save the array as a png image. Even after transposing the array and multiplying it with ...

I have a set of 20,000 images that I am importing from disk like below. imgs_dict={} path="Documents/data/img" os.listdir(path) valid_images =[".png"] for f in os.listdir(path): ext= os.path....

edit: copying from my comment to give more context to the problem One important thing I forgot to mention is my end goal is to add this as a column to a pandas dataframe. I was getting errors when ...

I have made myself a numpy array from a picture using from PIL import Image import numpy as np image = Image.open(file) np.array(image) its shape is (6000, 6000, 4) and in that array I would like to ...

I am trying to read 3058 images from a folder. I want my picture to be read as np array with size (3158, 480, 640, 3) dtype as uint8. I store all image to a list (image_list). After changing the list ...

I'm trying to run a pre-made program on my image, and the image type is a numpy array. When I hit enter, I get this error: AssertionError: HybridBlock requires the first argument to forward be ...