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Add pretrained weights for raft_small from original paper #5070

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Merged
merged 9 commits into from
Dec 9, 2021
Merged

Add pretrained weights for raft_small from original paper #5070

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dce22b3
Add pretrained weights on Chairs and Things for raft_large
NicolasHug Dec 8, 2021
228a17c
Merge branch 'main' of github.com:pytorch/vision into raft_pretrained_CT
NicolasHug Dec 8, 2021
d244401
Minor stuff
NicolasHug Dec 8, 2021
0406c83
Merge branch 'main' of github.com:pytorch/vision into raft_pretrained_CT
NicolasHug Dec 8, 2021
f186973
Add pretrained weights from paper's repo as V1
NicolasHug Dec 8, 2021
57aff36
Address comments
NicolasHug Dec 8, 2021
e2cf8cb
Add pretrained weights for raft_small from original paper
NicolasHug Dec 8, 2021
6c82d61
Merge branch 'main' of github.com:pytorch/vision into raft_pretrained…
NicolasHug Dec 8, 2021
55d1cde
Merge branch 'main' into raft_pretrained_CT_small
NicolasHug Dec 9, 2021
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8 changes: 5 additions & 3 deletions torchvision/models/optical_flow/raft.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,11 @@
)


_MODELS_URLS = {"raft_large": "https://download.pytorch.org/models/raft_large_C_T_V2-1bb1363a.pth"}
_MODELS_URLS = {
"raft_large": "https://download.pytorch.org/models/raft_large_C_T_V2-1bb1363a.pth",
# TODO: change to V2 once we upload our own weights
"raft_small": "https://download.pytorch.org/models/raft_small_C_T_V1-ad48884c.pth",
}


class ResidualBlock(nn.Module):
Expand Down Expand Up @@ -641,8 +645,6 @@ def raft_small(*, pretrained=False, progress=True, **kwargs):
nn.Module: The model.

"""
if pretrained:
raise ValueError("No checkpoint is available for raft_small")

return _raft(
arch="raft_small",
Expand Down
26 changes: 15 additions & 11 deletions torchvision/prototype/models/optical_flow/raft.py
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Expand Up @@ -78,16 +78,19 @@ class Raft_Large_Weights(WeightsEnum):


class Raft_Small_Weights(WeightsEnum):
pass
# C_T_V1 = Weights(
# url="", # TODO
# transforms=RaftEval,
# meta={
# "recipe": "",
# "epe": -1234,
# },
# )
# default = C_T_V1
C_T_V1 = Weights(
# Chairs + Things, ported from original paper repo (raft-small.pth)
url="https://download.pytorch.org/models/raft_small_C_T_V1-ad48884c.pth",
transforms=RaftEval,
meta={
**_COMMON_META,
"recipe": "https://github.com/princeton-vl/RAFT",
"sintel_train_cleanpass_epe": 2.1231,
"sintel_train_finalpass_epe": 3.2790,
},
)

default = C_T_V1 # TODO: Change to V2 once we upload our own weights


@handle_legacy_interface(weights=("pretrained", Raft_Large_Weights.C_T_V2))
Expand Down Expand Up @@ -140,7 +143,8 @@ def raft_large(*, weights: Optional[Raft_Large_Weights] = None, progress=True, *
return model


@handle_legacy_interface(weights=("pretrained", None))
# TODO: change to V2 once we upload our own weights
@handle_legacy_interface(weights=("pretrained", Raft_Small_Weights.C_T_V1))
def raft_small(*, weights: Optional[Raft_Small_Weights] = None, progress=True, **kwargs):
"""RAFT "small" model from
`RAFT: Recurrent All Pairs Field Transforms for Optical Flow <https://arxiv.org/abs/2003.12039>`_.
Expand Down