Comments (4)
twhui
commented on June 1, 2024
1
@keeper121 A link to your repo is added.
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twhui
commented on June 1, 2024
Hi, @keeper121 . Thanks for your implementation of my work in tensorflow. I would suggest you to include a link (https://github.com/twhui/LiteFlowNet#license-and-citation) for the licensing terms of my work.
The current tensorflow implementation requires the conversion of trained model from Caffe to Pytorch and then to Tensorflow. Could you simply convert it from Caffe to Tensorflow?
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keeper121
commented on June 1, 2024
@twhui I added link to your license to readme. Also implemented separate converter for weights directly from Caffe to Tensorflow.
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keeper121
commented on June 1, 2024
@twhui Thanks.
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Related Issues (20)
- Charbonnier loss in your paper HOT 1
- warping each channel differently HOT 1
- Softmax function in regularization layer HOT 1
- Question about data augmentation? HOT 2
- train all the parameters together？ HOT 2
- Question about training process. HOT 1
- LiteFlowNetX HOT 1
- How to calculate training loss HOT 3
- Data augmentation layers HOT 2
- It is a must use CUDNN? HOT 2
- Layer type: "Grid" in {deploy.prototxt} HOT 3
- prepare lmdb file on kitti HOT 2
- Convert training.list and test.list issues make-lmdbs-train.sh HOT 6
- train.py -gpu 0 2>&1 | tee ./log.txt ERROR HOT 8
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- About training logs？
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