I need to warp and Liquify a lot of fishing baits in Photoshop. Super time consuming. Was thinking that it might be possible to do it with python. But no idea where to start. I have this version from ChatGPT: import cv2 import numpy as np from skimage.morphology import skeletonize def straighten_bait(img_path, output_path=None): # Load image img = cv2.imread(img_path) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) _, mask = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU) # Skeletonize sk = skeletonize(mask // 255).astype(np.uint8) ys, xs = np.where(sk > 0) coords = np.array(list(zip(xs, ys))) # Sort skeleton from top to bottom coords = coords[np.argsort(coords[:,1])] # Prepare remap coordinates map_x = np.zeros((len(coords), img.shape[1]), dtype=np.float32) map_y = np.zeros_like(map_x) for i, (cx, cy) in enumerate(coords): # Map each column of the straightened image to the skeleton row map_x[i, :] = np.clip(np.arange(img.shape[1]), 0, img.shape[1]-1) map_y[i, :] = np.clip(cy, 0, img.shape[0]-1) # Remap to straighten straight = cv2.remap(img, map_x, map_y, interpolation=cv2.INTER_CUBIC, borderMode=cv2.BORDER_CONSTANT, borderValue=(255,255,255)) if output_path is None: output_path = img_path.replace(".jpg", "_straight.png") cv2.imwrite(output_path, straight) print("Saved:", output_path) return output_path # Example usage straighten_bait("/Users/Desktop/curved.jpg") but the bate is thin and not very straight. it needs to keep it lengh and width. aprecciate any help Continue reading...