Cpt.Captain/CREStereo-pytorch-nxt
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Fix flow_width

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This commit is contained in:
Ibai 2022-04-08 21:52:13 +09:00
parent d2c55bb097
commit 982b5027b9
1 changed files with 13 additions and 12 deletions
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25
convert_to_onnx.py
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@ -20,18 +20,7 @@ if __name__ == '__main__':
t1 = torch.rand(1, 3, in_h, in_w)
t2 = torch.rand(1, 3, in_h, in_w)
flow_init = torch.rand(1, 2, in_h//2, in_w)
# Export the model
# !! Needs Pytorch nightly until next release (1.12). Ref: https://github.com/pytorch/pytorch/pull/73760
torch.onnx.export(model,
(t1_half, t2_half),
"crestereo_without_flow.onnx", # where to save the model (can be a file or file-like object)
export_params=True, # store the trained parameter weights inside the model file
opset_version=12, # the ONNX version to export the model to
do_constant_folding=True, # whether to execute constant folding for optimization
input_names = ['left', 'right'], # the model's input names
output_names = ['output'])
flow_init = torch.rand(1, 2, in_h//2, in_w//2)
# Export the model
torch.onnx.export(model,
@ -43,5 +32,17 @@ if __name__ == '__main__':
input_names = ['left', 'right','flow_init'], # the model's input names
output_names = ['output'])
# # Export the model without init_flow (it takes a lot of time)
# # !! Needs Pytorch nightly until next release (1.12). Ref: https://github.com/pytorch/pytorch/pull/73760
# torch.onnx.export(model,
# (t1_half, t2_half),
# "crestereo_without_flow.onnx", # where to save the model (can be a file or file-like object)
# export_params=True, # store the trained parameter weights inside the model file
# opset_version=12, # the ONNX version to export the model to
# do_constant_folding=True, # whether to execute constant folding for optimization
# input_names = ['left', 'right'], # the model's input names
# output_names = ['output'])