empatches 0.1.1

Extract and Merge image patches for easy, fast and self-contained digital image processing and deep learning model training.

Extract and Merge Image Patches (EMPatches)

Extract and Merge image patches for easy, fast and self-contained digital image processing and deep learning model training.

• Extract patches
• Merge the extracted patches to obtain the original image back.

Dependencies

python >= 3.6
numpy 
math

Usage

Extracting Patches

from empatches import EMPatches

# get image either RGB or Grayscale
img = cv2.imread('../penguin.jpg')
# load module
emp = EMPatches()
img_patches, indices = emp.extract_patches(img, patchsize=32, overlap=0.2)

# displaying an image patch
plt.figure()
plt.imshow(img_patches[0])

Image Processing

Now we can perform our operation on each patch independently and after we are done we can merge them back together.

'''
pseudo code
'''
# do some processing, just store the patches in the list in same order
img_patches_processed = some_processing_func(img_patches)
# or run your deep learning model on patches independently and then merge the predictions
img_patches_processed = model.predict(img_patches)

Merging Patches

After processing the patches if you can merge all of them back in original form as follows,

merged_img = emp.merge_patches(img_patches_processed, indices)
# display
plt.figure()
plt.imshow(merged_img)

More Examples

For further details and more examples visit my github