Deepliif

- Modify segmentation map weights
- Update empty tile detection method

- Output postprocessing settings (thresholds) in scoring results
- Allow marker image to be omitted from postprocessing
- Use all GPUs by default for inference if unspecified

- Updated postprocessing algorithm
- Addition of DeepLIIFExt model class

- Ignore empty tiles during inference.

- Stable model serialization and inference between runs
- Memory efficient inference function
- Option to pseudo-color marker and DAPI inferred images
- Use training options in test script

- VGG loss added to the translation task.
- Automatically reading the model parameters to create the model for inference.
- GPU ids configuration updated.
- Converting the images to 'RGB', fixing the issue of reading grayscale or 'RGBA' images.
- Saving model parameters in training mode added to the cli.py file.