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Personal python toolbox.

License: MIT License

Python 95.07% Shell 0.22% C 1.00% C++ 2.44% Cython 1.09% Makefile 0.07% Batchfile 0.07% CSS 0.03%

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explorerfreda batermj dragomirradev sailfish009 qcactus jinhoha dapatil211 ravissj4 wangping521 sumith1896 kipsora wwu-mmll ammieqi lzhbrian guangxuan-xiao lucaweihs k-a-r-t wagaskar aroopkumarorg dummy-org-1 dummy-2-io qwtail dummy-3-2 dummy-3-1 aws-bugbust-01 aws-bugbust-02 aws-bugbust-03 aws-bugbust-04 aws-bugbust-05 aws-bugbust-06 aws-bugbust-07 aws-bugbust-08 aws-bugbust-09 aws-bugbust-10 aws-bugbust-11 aws-bugbust-12 aws-bugbust-13 aws-bugbust-14 aws-bugbust-16 aws-bugbust-17 aws-bugbust-18 aws-bugbust-19 aws-bugbust-20 aws-bugbust-21 aws-bugbust-22 aws-bugbust-23 aws-bugbust-24 aws-bugbust-25 aws-bugbust-26 aws-bugbust-27 aws-bugbust-28 aws-bugbust-29 aws-bugbust-30 aws-bugbust-31 aws-bugbust-32 aws-bugbust-33 aws-bugbust-34 aws-bugbust-35 aws-bugbust-36 aws-bugbust-37 aws-bugbust-38 aws-bugbust-39 aws-bugbust-40 aws-bugbust-15 aroopamazon my-dummy-1 my-dummy-2 my-dummy-3 aws-bugbust-81 aws-bugbust-82 aws-bugbust-83 aws-bugbust-84 aws-bugbust-85 aws-bugbust-86 aws-bugbust-87 aws-bugbust-88 aws-bugbust-89 aws-bugbust-90 aws-bugbust-41 aws-bugbust-42 aws-bugbust-43 aws-bugbust-44 aws-bugbust-61 aws-bugbust-62 aws-bugbust-63 aws-bugbust-64 aws-bugbust-65 aws-bugbust-66 aws-bugbust-67 aws-bugbust-68 aws-bugbust-69 aws-bugbust-70 aws-bugbust-71 aws-bugbust-72 aws-bugbust-73 aws-bugbust-74 aws-bugbust-45 aws-bugbust-75 aws-bugbust-76 aws-bugbust-77

jacinle's Issues

how to debug ?

how to debug when using jac-run xxx.py to replace python3 xxx.py on pycharm?

File headers should be re-formatted.

Currently, there are at least two versions of file headers, which are created by PyCharm and Vim respectively. They should be merged into a unified file header.

Import _mask error

  File "/home/stark/Desktop/Minor-project-2/Jacinle/jaclearn/vision/coco/pycocotools/mask.py", line 3, in <module>
    from . import _mask as _mask
ImportError: cannot import name '_mask'

Please someone help me.

Supporting `strict = False` when loading model

Hi,

When loading the model checkpoint in function TrainerEnv.load_checkpoint(), is there a way to support the parameter strict=False to ignore non-matching keys loading, similar to the load_state_dict() method in original pytorch?

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