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MonsterMMORPG
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Practical-RIFE

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MonsterMMORPG commited on
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1 Parent(s): bd8f1a7

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  1. train_log/IFNet_HDv3.py +1 -1
  2. train_log/RIFE_HDv3.py +1 -1
  3. train_log/__pycache__/IFNet_HDv3.cpython-310.pyc +0 -0
  4. train_log/__pycache__/RIFE_HDv3.cpython-310.pyc +0 -0
  5. train_log/__pycache__/RIFE_HDv3.cpython-311.pyc +0 -0
  6. train_log/flownet.pkl +2 -2
train_log/IFNet_HDv3.py CHANGED
@@ -96,7 +96,7 @@ class IFNet(nn.Module):
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  self.block1 = IFBlock(8+4+8+8, c=128)
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  self.block2 = IFBlock(8+4+8+8, c=96)
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  self.block3 = IFBlock(8+4+8+8, c=64)
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- self.block4 = IFBlock(8+4+8+8, c=24)
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  self.encode = Head()
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  # not used during inference
 
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  self.block1 = IFBlock(8+4+8+8, c=128)
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  self.block2 = IFBlock(8+4+8+8, c=96)
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  self.block3 = IFBlock(8+4+8+8, c=64)
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+ self.block4 = IFBlock(8+4+8+8, c=32)
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  self.encode = Head()
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  # not used during inference
train_log/RIFE_HDv3.py CHANGED
@@ -55,7 +55,7 @@ class Model:
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  def inference(self, img0, img1, timestep=0.5, scale=1.0):
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  imgs = torch.cat((img0, img1), 1)
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- scale_list = [32/scale, 16/scale, 8/scale, 4/scale, 1/scale]
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  flow, mask, merged = self.flownet(imgs, timestep, scale_list)
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  return merged[-1]
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  def inference(self, img0, img1, timestep=0.5, scale=1.0):
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  imgs = torch.cat((img0, img1), 1)
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+ scale_list = [16/scale, 8/scale, 4/scale, 2/scale, 1/scale]
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  flow, mask, merged = self.flownet(imgs, timestep, scale_list)
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  return merged[-1]
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train_log/__pycache__/IFNet_HDv3.cpython-310.pyc CHANGED
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train_log/__pycache__/RIFE_HDv3.cpython-310.pyc CHANGED
Binary files a/train_log/__pycache__/RIFE_HDv3.cpython-310.pyc and b/train_log/__pycache__/RIFE_HDv3.cpython-310.pyc differ
 
train_log/__pycache__/RIFE_HDv3.cpython-311.pyc CHANGED
Binary files a/train_log/__pycache__/RIFE_HDv3.cpython-311.pyc and b/train_log/__pycache__/RIFE_HDv3.cpython-311.pyc differ
 
train_log/flownet.pkl CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:81cdba223fe72a120130cc8552e5d2ecac824259d406f0c15323b3decf96b8b1
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- size 24467405
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:6615790efd627772917205db291f51cd392528a157ecbb2ecaeec3bff8eb6de2
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+ size 24636301