Suvojit Manna
Suvojit Manna
Roadmap for feature - [ ] Implement per iteration callback for pytorch-lightning - [ ] Implement learning rate finder(one cycle policy) for pytorch-lightning. Tracked in https://github.com/williamFalcon/pytorch-lightning/issues/624
https://github.com/suvojit-0x55aa/3DMMasSTN-Pytorch/blob/98330e0ed4c675ffb7c5147195187eea7c258ea5/lib/net_module.py#L44 Refactor and remove duplicate optimizer
Is there a link or documentation of what methods were used to calculate the features ?
https://github.com/jiawenzhou0627/image-quality-assessment-python/blob/eabea767542e873fd1543f9622dc29e67bd91972/brisque_features.py#L10 I'm getting the following error for this. `NameError: global name 'shape' is not defined` https://github.com/jiawenzhou0627/image-quality-assessment-python/blob/eabea767542e873fd1543f9622dc29e67bd91972/brisque_features.py#L12 And here for `sigma`.
Below is the whole log: ```shell Traceback (most recent call last): File "/Users/shin/miniconda3/envs/latex_env/bin/flap", line 8, in sys.exit(main()) File "/Users/shin/miniconda3/envs/latex_env/lib/python3.6/site-packages/click/core.py", line 829, in __call__ return self.main(*args, **kwargs) File "/Users/shin/miniconda3/envs/latex_env/lib/python3.6/site-packages/click/core.py", line 782,...