in src/chug/image/transforms_alb.py [0:0]
def __call__(self, img):
data = np.array(img.convert("L"))
data = data.astype(np.uint8)
max_val = data.max()
min_val = data.min()
if max_val == min_val:
return img
data = (data - min_val) / (max_val - min_val) * 255
gray = 255 * (data < 200).astype(np.uint8)
coords = cv2.findNonZero(gray) # Find all non-zero points (text)
a, b, w, h = cv2.boundingRect(coords) # Find minimum spanning bounding box
return img.crop((a, b, w + a, h + b))