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Much better parallel!

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hzwer
2020-11-20 14:33:23 +08:00
parent 324949a068
commit 2097ef5e25
1 changed files with 3 additions and 3 deletions
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6
inference_video_parallel.py
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@@ -51,7 +51,7 @@ cnt = 0
skip_frame = 1
def write_frame(vid_out, i0, infs, i1, p, user_args):
def write_frame(i0, infs, i1, p, user_args):
global skip_frame, cnt
for i in range(i0.shape[0]):
@@ -104,7 +104,7 @@ while success:
success, frame = videoCapture.read()
if success:
img_list.append(frame)
if len(img_list) == 5 or (not success and len(img_list) > 1):
if len(img_list) == 3 or (not success and len(img_list) > 1):
I0 = torch.from_numpy(np.transpose(img_list[:-1], (0, 3, 1, 2)).astype('float32') / 255.).to(device, non_blocking=True)
I1 = torch.from_numpy(np.transpose(img_list[1:], (0, 3, 1, 2)).astype('float32') / 255.).to(device, non_blocking=True)
p = (F.interpolate(I0, (16, 16), mode='bilinear', align_corners=False)
@@ -117,7 +117,7 @@ while success:
I1 = np.array(img_list[1:])
inferences = list(map(lambda x: ((x[:, :, :h, :w] * 255.).byte().cpu().detach().numpy().transpose(0, 2, 3, 1)), inferences))
write_frame(vid_out, I0, inferences, I1, p.mean(3).mean(2).mean(1), args)
write_frame(I0, inferences, I1, p.mean(3).mean(2).mean(1), args)
pbar.update(4)
img_list = img_list[-1:]
pbar.close()