How to Directly Write Numpy Arrays to Image Files Without External Dependencies?

Direct Disk Write of Numpy Arrays as Images

For those requiring flexibility in image file formats without the constraints of external dependencies like PIL, the following approach allows for direct disk writes of Numpy arrays as images:

Saving an Array as an Image:

• Determine Output Format: Decide on the desired file format, such as PNG, JPEG, or BMP.
• Use Output-Specific Functions: Utilize functions like imsave from the scipy.ndimage module or imwrite from OpenCV to save the array in the selected format.
• Specify File Name: Define the target file name and include the appropriate file extension (e.g., my_image.png).

Sample Code:

import numpy as np
from scipy.ndimage import imwrite  # or import cv2 and use cv2.imwrite for OpenCV

# Create a NumPy array representing the image
image_array = np.zeros((512, 512, 3), dtype=np.uint8)

# Save the array as a PNG image
imwrite('my_image.png', image_array)

Additional Note:

If working with multi-channel arrays (e.g., representing RGB images), ensure that the dtype of the array matches the channel convention. For instance, for RGBA images, use np.uint32.

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