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https://github.com/hzwer/ECCV2022-RIFE.git
synced 2026-02-24 04:19:41 +01:00
Fixing parallel
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@@ -42,9 +42,9 @@ def writeframe(I0, mid0, mid1, mid2, I1, p):
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global cnt, skip_frame
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for i in range(I0.shape[0]):
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if p[i] > 0.2:
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mid0[i] = I0
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mid1[i] = I0
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mid2[i] = I1
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mid0[i] = I0[i]
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mid1[i] = I0[i]
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mid2[i] = I1[i]
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if p[i] < 1e-3 and args.skip:
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if skip_frame % 100 == 0:
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print("Warning: Your video has {} static frames, skipping them may change the duration of the generated video.".format(skip_frame))
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@@ -70,26 +70,28 @@ tot_frame = videoCapture.get(cv2.CAP_PROP_FRAME_COUNT)
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print('{}.mp4, {} frames in total, {}FPS to {}FPS'.format(args.video[:-4], tot_frame, fps, args.fps))
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pbar = tqdm(total=tot_frame)
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img_list = []
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img_list.append(frame)
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while success:
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img_list.append(frame)
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success, frame = videoCapture.read()
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if success:
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img_list.append(frame)
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if img_list == 5 or not success:
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if len(img_list) == 5 or not success:
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I0 = torch.from_numpy(np.transpose(img_list[:-1], (0, 3, 1, 2)).astype("float32") / 255.).to(device)
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I1 = torch.from_numpy(np.transpose(img_list[1:], (0, 3, 1, 2)).astype("float32") / 255.).to(device)
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p = (F.interpolate(I0, (16, 16), mode='bilinear', align_corners=False)
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- F.interpolate(I1, (16, 16), mode='bilinear', align_corners=False)).abs().mean(3).mean(2).mean(1)
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- F.interpolate(I1, (16, 16), mode='bilinear', align_corners=False)).abs()
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I0 = F.pad(I0, padding)
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I1 = F.pad(I1, padding)
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mid1 = model.inference(I0, I1)
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mid0 = model.inference(I0, mid1)
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mid2 = model.inference(mid1, I1)
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I0 = (((I0 * 255.).cpu().detach().numpy().transpose(0, 2, 3, 1))).astype('uint8')
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I1 = (((I1 * 255.).cpu().detach().numpy().transpose(0, 2, 3, 1))).astype('uint8')
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mid0 = (((mid0 * 255.).cpu().detach().numpy().transpose(0, 2, 3, 1))).astype('uint8')
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mid1 = (((mid1 * 255.).cpu().detach().numpy().transpose(0, 2, 3, 1))).astype('uint8')
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mid2 = (((mid2 * 255.).cpu().detach().numpy().transpose(0, 2, 3, 1))).astype('uint8')
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writeframe(p, mid0, mid1, mid2)
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writeframe(I0, mid0, mid1, mid2, I1, p.mean(3).mean(2).mean(1))
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pbar.update(4)
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img_list = img_list[-1]
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img_list = img_list[-1:]
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pbar.close()
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output.release()
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