How to convert image dataset in device (not the inbuilt dataset as found in tensorflow or sklearn) into a numpy array?
Please, look at "Importing Image Data into NumPy Arrays:"
https://www.pluralsight.com/guides/importing-image-data-into-numpy-arrays
@ Maria I have visited this website. This is however for a single image. I would like to know for a huge dataset of images.
what is a device?
what kind of dataset?
If you want to convert the image to a NumPy array, you can try the code below:
import cv2
im = cv2.imread("abc.tiff",mode='RGB')
print type(im)
Have a look at via MATLAB : https://au.mathworks.com/matlabcentral/answers/77062-how-to-store-images-in-a-single-array-or-matrix
https://au.mathworks.com/matlabcentral/answers/424688-how-to-convert-image-to-array-and-save-it-in-a-text-file
Python : https://www.geeksforgeeks.org/how-to-convert-images-to-numpy-array/
Importing Image Data into NumPy Arrays
From image files to Numpy Arrays
https://www.kaggle.com/lgmoneda/from-image-files-to-numpy-arrays
kindly reply me. Thanking you in advance.
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