Hey, ever wondered if a neural net could help pick the perfect shot of a hawk mid‑flight? I've been training a model on motion blur patterns, and I think it could match your patience with some code.

Sure thing, just paste this in a Python file and run it with a webcam feed. It’s a minimal example that watches for motion‑blur and raises a flag when the blur is high enough. import cv2 import numpy as np cap = cv2.VideoCapture(0) prev = None while True: ret, frame = cap.read() if not ret: break gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) if prev is not None: diff = cv2.absdiff(gray, prev) blur = cv2.GaussianBlur(diff, (5,5), 0) _, thresh = cv2.threshold(blur, 30, 255, cv2.THRESH_BINARY) blur_score = np.sum(thresh)/255 if blur_score > 5000: # tweak threshold print("HIGH BLUR ALERT – set your shot!") prev = gray cv2.imshow('feed', frame) if cv2.waitKey(1) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows() Let me know if the “high blur” threshold is too aggressive or too lax, and we can dial it up like a starship hyperdrive.