ecg-image-analysis / cropping.py
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def cropping(image, filename):
#Left Top Crop
crop = image[:96, :96]
crop = cv2.resize(crop, (128, 128))
cv2.imwrite(filename[:-4] + 'leftTop' + '.png', crop)
#Center Top Crop
crop = image[:96, 16:112]
crop = cv2.resize(crop, (128, 128))
cv2.imwrite(filename[:-4] + 'centerTop' + '.png', crop)
#Right Top Crop
crop = image[:96, 32:]
crop = cv2.resize(crop, (128, 128))
cv2.imwrite(filename[:-4] + 'rightTop' + '.png', crop)
#Left Center Crop
crop = image[16:112, :96]
crop = cv2.resize(crop, (128, 128))
cv2.imwrite(filename[:-4] + 'leftCenter' + '.png', crop)
#Center Center Crop
crop = image[16:112, 16:112]
crop = cv2.resize(crop, (128, 128))
cv2.imwrite(filename[:-4] + 'centerCenter' + '.png', crop)
#Right Center Crop
crop = image[16:112, 32:]
crop = cv2.resize(crop, (128, 128))
cv2.imwrite(filename[:-4] + 'rightCenter' + '.png', crop)
#Left Bottom Crop
crop = image[32:, :96]
crop = cv2.resize(crop, (128, 128))
cv2.imwrite(filename[:-4] + 'leftBottom' + '.png', crop)
#Center Bottom Crop
crop = image[32:, 16:112]
crop = cv2.resize(crop, (128, 128))
cv2.imwrite(filename[:-4] + 'centerBottom' + '.png', crop)
#Right Bottom Crop
crop = image[32:, 32:]
crop = cv2.resize(crop, (128, 128))
cv2.imwrite(filename[:-4] + 'rightBottom' + '.png', crop)