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Hi, @Johswald looks like you didn't open your version information, including the os' version and tensorflow's version. would you mind tell me about that? Thanks!
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1. Using **--pretrained** to continue training on previously trained data set seems to overwrite results?
2. Is it meant to be used with **--start-epoch** to manually specify epoch to be restarted on…
bkvie updated
6 years ago
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I run the code using Tesla K40 GPU on CentOS. When I use the FlowNet2 model, it runs about 7-8 seconds per image pair. But it is said it should be 100-200 ms per image pair. My test imges are all 6…
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I have followed your instructions to convert the models but failed!
So I am wondering whether you could share the well-converted models, besides I am wondering that whether you have implemented the e…
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Hi,
I am trying to run the flownets model and predict the optical flow given a pair of images from the KITTI dataset. I downloaded the pretrained model, but when I run the prediction step it gives m…
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**issue 1**
As in the FlowNetC, FlowNetS, we will return a list of flow during training:
```
if self.training:
return flow2,flow3,flow4,flow5,flow6
```
So do we need to…
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Hi @ClementPinard, I am wondering about this code` class RandomColorWarp(object)` .Is it the same operation as caffe code:warping. If so, the` (inputs, target)` are frame_1 and predict_flow respective…
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@ClementPinard Did you cross-checked losses during training in caffe and pytorch? Are they similar?
In my case (DispNetCorr1) in pytorch I have losses that are 100x larger than in caffe. I think I u…
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Hi
I've been trying to build PyTorch without CUDA so that it uses CPU only. I'm trying to run FlowNet for PyTorch. I exported the NO_CUDA=1 variable but when I run the code it outputs a note that say…
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In this paper, you said "the temporal model is initialized with the snapshot provided by Wang",could you give me the snapshot URL?
Thank you.