IQA-PyTorch v0.1.5

⚠️ Fix bugs

1. Fix FID bug
2. Fix read meta info error in livechallenge.
3. Fix shape error for NRQM
4. Fix bug in nancov
5. Add missing requirements package
6. Fix link for lpips squeeze net version

New features

1. Add MANIQA, AHIQ pretrained weights
2. Add metric_mode option for list_models
3. Add new metrics: FID, MANIQA
4. Enable image path as inputs. See demo codes in README
5. Add as_loss option to enable gradient backpropagation for metric. Default False.

Improvements

1. Use epoch instead of iteration in lr scheduler
2. Add clean_state_dict before loading pretrain model