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@@ -17,8 +17,12 @@ There is currently no implementation of FlowNetC as a specific Correlation layer
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## Pretrained Models
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Thanks to [Kaixhin](https://github.com/Kaixhin) you can download a pretrained version of FlowNetS (from caffe, not from pytorch) [here](https://drive.google.com/open?id=0B5EC7HMbyk3CbjFPb0RuODI3NmM). This folder also contains trained networks from scratch.
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### Note on networks loading
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Directly feed the downloaded Network to the script, you don't need to uncompress it even if your desktop environment tells you so.
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### Note on networks from caffe
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These networks expect a BGR input in range [-0.5,0.5]. However, BGR order is not very important.
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These networks expect a BGR input in range [-0.5,0.5] (compared to RGB in pytorch). However, BGR order is not very important.
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