avif

Refactor CUDA handling in jtp2.py to improve device compatibility

Enhance jtp2.py with no_grad option for improved inference control

Refactor CUDA handling in jtp2.py for improved CPU and GPU compatibility

:3

x3

chmod

revert all that bullshit

Update num_classes and batch_size in JTP2Processor for model compatibility

Refactor image processing in JTP2Processor to enhance clarity

rgb

Update num_classes in JTP2Processor to 18166 for alignment with state_dict

Update num_classes in JTP2Processor model initialization to 18166 for alignment with state_dict

Update num_classes in JTP2Processor model initialization to align with state_dict

Refactor GatedHead initialization in jtp2.py for improved clarity

Enhance GatedHead class in jtp2.py with weight and bias properties

Add state_dict loading functionality and enhance jtp2.py argument parsing

Update jtp2.py to rename threshold argument and enhance image processing logic

Remove trailing blank lines in jtp2.py to improve code cleanliness

Update jtp2.py to rename threshold argument and enhance tag filtering

Refactor imports in jtp2.py to streamline code

Add project root directory to sys.path in jtp2.py

Remove unused import of VisionTransformer from timm in jtp2.py to streamline code and improve maintainability.

Update jtp2.py to include module header and docstring for improved documentation

chmod

one more refactor

more renames