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License: Other
Source code for "Mononizing Binocular Videos" (SIGGRAPH Asia 2020)
License: Other
In scripts/train.sh
it seems to be running a train.py
file, but I cannot find such file. Do you have any plans to release this file in the future?
You mention that you pass P_t-1 to the reconstructor at time t similar to an RNN. Do you use the same architecture as an RNN, in that you have a learnable linear layer that multiplies P_t-1 and then sum the result with P_t and this is what is passed onto the reconstructor?
Thanks for your valuable work!
I would like to know that whether the CNS module is used in the image version model? How to embed this module in the code? Could you offer a demo for this? Thanks for your time!
Whenever I try to run the demo
$ python main/demo.py --left ./imgs/demo_L.png
I get the error
No module named base.baseTrainer
It seems like the file cannot properly import the file inside base
.
Also, I want to ask about the environment. In the README, it mentioned env.yaml
, but I cannot seem to find the file.
Would it be possible for you to describe how the CNS is implemented, specifically the macroblock jitter.
You mentioned that you use a RNN version for stereo video input. However, how is the loss calculated. The formula provided is lambda_1 * MonoLoss + lamba_2* InverseLoss + StereoLoss. Are the losses added per time-step? Then loss.backward() is performed at the end of the batch?
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