Adding to FastSAM's README page.

[zxDeepDiver]

Thank you for extending FastSAM to incorporate category segmentation capability. We have recommended this work in the "update" section of FastSAM's GitHub README. We hope more people will participate to enhance the industrial applications of large-scale visual models.

[zxDeepDiver]

For testing with the project, I have made the following attemps:

1. pip install setuptools==59.5.0
2. pip install spacy --upgrade
3. pip install --upgrade transformers
4. use the newest transformer library.
5. pip install pydantic==1.10.8
6. pip install torch==1.10.1+cu111 torchvision==0.11.2+cu111 torchaudio==0.10.1 -f https://download.pytorch.org/whl/cu111/torch_stable.html
7. pip install mmcv_full-1.3.18-cp38-cp38-manylinux1_x86_64.whl

[KBH00]

KBH00 To DeepDiver, Thank you so much for your kind words and for recommending my work in the news section of FastSAM's GitHub README. I'm thrilled to hear that our extension incorporating category segmentation capability has been acknowledged and welcomed by the FastSAM community. I appreciate your efforts in testing the project and providing the instructions for the setup. I'm continuously working to improve and enhance the functionality of Semantic-Fast-SAM, and your support means a lot to me. If you have any further suggestions or feedback, please feel free to share them. I'm look forward to continued collaboration and contributing to the advancement of large-scale visual models. Best regards, KBH00 2023년 11월 28일 (화) 오전 2:21, DeepDiver ***@***.***>님이 작성:

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For testing with the project, I have made the following attemps: 1. pip install setuptools==59.5.0 2. pip install spacy --upgrade 3. pip install --upgrade transformers 4. use the newest transformer library. 5. pip install pydantic==1.10.8 6. pip install torch==1.10.1+cu111 torchvision==0.11.2+cu111 torchaudio==0.10.1 -f https://download.pytorch.org/whl/cu111/torch_stable.html 7. pip install mmcv_full-1.3.18-cp38-cp38-manylinux1_x86_64.whl — Reply to this email directly, view it on GitHub <#2 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/A6PIODA4IE6SVP3UQ6HIKJLYGTD2JAVCNFSM6AAAAAA74MA7VKVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQMRYGI4DSMZZGQ> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>