Comments (4)
Fix in this line.
Line 142 in fdf3166
flownets2_flow2 = self.flownets_2(concat2, '2')[0]
->
flownets2_flow2 = self.flownets_2(concat2)[0]
BTW, the author can also fix this line.
Line 249 in fdf3166
def forward(self, x, ntk_num='1'): -> def forward(self, inputs, ntk_num='1'):
Some similar spelling errors should be fixed.
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depricated arguments for lines such as these flownets2_flow2 = self.flownets_2(concat2, '2')[0]
have been removed now.
from flownet2-pytorch.
@foolwood Thanks, however I find that the EPE error does not converge when I train the model on FlyingChairs. The EPE is increasing after some epochs.
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@PkuRainBow
I meet the same problem.
So I first train the flownet2c with a learning rate of 1e-6 for 2000 epoches in MPI-Sintel.
But when I back the lr to 1e-4. The EPE error explodes again.
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Related Issues (20)
- ValueError (inference) HOT 1
- inference error
- Error when running Inference: forward call is outdated and returns an error when called.
- Flownet2 model for faces HOT 1
- Thanks for this repository! could you please provide the pretrained model for FlowNet2ss or FlowNet2s (lower-case letters, pytorch)? HOT 2
- AttributeError: Module 'time' has no attribute 'clock'
- 想问下如何跑多个文件
- I cannot load the pretrained FlowNetS
- Training with MultiScale loss
- Should I extact "tar" for FlowNet2_checkpoint.pth.tar ?
- Groundtruth of my dataset!!!
- How to achieve the 3D version of correlation layer?
- CUDA error: the provided PTX was compiled with an unsupported toolchain
- start_epoch argument fix
- Error when training Flownet2S HOT 1
- Wrong calculation of EPE HOT 1
- Installation is a nightmare HOT 3
- TypeError: forward() takes 2 positional arguments but 3 were given,flownetc_flow2 = self.flownetc(x)[0].why!!!!
- cuda version HOT 2
- Segmentation fault
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