The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 

11 lines
371 B

[isort]
line_length=100
multi_line_output=3
include_trailing_comma=True
known_standard_library=numpy,setuptools
skip_glob=*/__init__.py
known_myself=segment_anything
known_third_party=matplotlib,cv2,torch,torchvision,pycocotools,onnx,black,isort
no_lines_before=STDLIB,THIRDPARTY
sections=FUTURE,STDLIB,THIRDPARTY,MYSELF,FIRSTPARTY,LOCALFOLDER
default_section=FIRSTPARTY