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authorManu Mathew2020-06-19 09:43:18 -0500
committerManu Mathew2020-06-19 09:49:49 -0500
commitb809ecb1124cc35168300fc08e6f914f12f00e21 (patch)
tree08607d04f81e016b336afdd79b92cef5d7394816 /README.md
parent252247115ec2d4eb54dba496cfa94ffce94023ad (diff)
downloadpytorch-mmdetection-b809ecb1124cc35168300fc08e6f914f12f00e21.tar.gz
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now works with externally installed mmdetection
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16## Installation 16## Installation
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18Please refer to [mmdetection install.md](https://github.com/open-mmlab/mmdetection/docs/install.md) for installation and dataset preparation. 18Please refer to [mmdetection install.md](https://github.com/open-mmlab/mmdetection/docs/install.md) for installation and dataset preparation.
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20We used the the version **v2.1.0** of mmdetection to test our changes. If you get any issues with the master branch of mmdetection, try checking out that tag.
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20After installing mmdetection, please install [PyTorch-Jacinto-AI-DevKit](https://bitbucket.itg.ti.com/projects/JACINTO-AI/repos/pytorch-jacinto-ai-devkit/browse/) as our repository uses several components from there - especially to define low complexity models and to Quantization Aware Training (QAT). 22After installing mmdetection, please install [PyTorch-Jacinto-AI-DevKit](https://bitbucket.itg.ti.com/projects/JACINTO-AI/repos/pytorch-jacinto-ai-devkit/browse/) as our repository uses several components from there - especially to define low complexity models and to Quantization Aware Training (QAT).
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