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Update and rename HD_multi.py to HD_multi_4X.py

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hzwer
2021-11-08 16:37:14 +08:00
committed by GitHub
parent 76d7d3b5f6
commit d4c75d3dc6
1 changed files with 5 additions and 5 deletions
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10
benchmark/HD_multi.py → benchmark/HD_multi_4X.py
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@@ -31,7 +31,7 @@ name_list = [
('HD_dataset/HD544p_GT/Sintel_Temple1_1280x544.yuv', 544, 1280),
('HD_dataset/HD544p_GT/Sintel_Temple2_1280x544.yuv', 544, 1280),
]
def inference(I0, I1, pad, multi=3):
def inference(I0, I1, pad, multi=2):
img = [I0, I1]
for i in range(multi):
res = [I0]
@@ -56,14 +56,14 @@ for data in name_list:
_, lastframe = Reader.read()
# fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v')
# video = cv2.VideoWriter(name + '.mp4', fourcc, 30, (w, h))
for index in range(0, 100, 8):
for index in range(0, 100, 4):
gt = []
if 'yuv' in name:
IMAGE1, success1 = Reader.read(index)
IMAGE2, success2 = Reader.read(index + 8)
IMAGE2, success2 = Reader.read(index + 4)
if not success2:
break
for i in range(1, 8):
for i in range(1, 4):
tmp, _ = Reader.read(index + i)
gt.append(tmp)
else:
@@ -82,7 +82,7 @@ for data in name_list:
I1 = pader(I1)
with torch.no_grad():
pred = inference(I0, I1, pad)
for i in range(8 - 1):
for i in range(4 - 1):
out = (np.round(pred[i].detach().cpu().numpy().transpose(1, 2, 0) * 255)).astype('uint8')
if 'yuv' in name:
diff_rgb = 128.0 + rgb2yuv(gt[i] / 255.)[:, :, 0] * 255 - rgb2yuv(out / 255.)[:, :, 0] * 255