File size: 1,105 Bytes
2bfd19c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | import cv2
import numpy as np
import sys
def load_frames(path):
cap = cv2.VideoCapture(path)
frames = []
while True:
ret, img = cap.read()
if not ret:
break
frames.append(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
cap.release()
return frames
def psnr(gt, gen):
gt = np.stack(gt).astype(np.float32)
gen = np.stack(gen).astype(np.float32)
if gt.shape != gen.shape:
h, w = gt.shape[1], gt.shape[2]
gen = np.stack([cv2.resize(f, (w, h)) for f in gen])
mse = np.mean((gt - gen) ** 2)
if mse == 0:
return float("inf")
return 10 * np.log10(255**2 / mse)
def black_ratio(frames, thresh=5):
arr = np.stack(frames)
return float(np.mean(arr.max(axis=-1) < thresh))
if __name__ == "__main__":
gt_path = sys.argv[1]
gen_path = sys.argv[2]
gt = load_frames(gt_path)
gen = load_frames(gen_path)
print(f"GT: {len(gt)} frames {gt[0].shape}")
print(f"Gen: {len(gen)} frames {gen[0].shape}")
print(f"PSNR: {psnr(gt, gen):.2f} dB")
print(f"Black ratio: {black_ratio(gen):.4f}")
|