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authorManu Mathew2020-08-05 07:37:49 -0500
committerManu Mathew2020-08-05 07:37:49 -0500
commite5a2ce7b98a6be8a3472c2bf6c75d52c2fcff7b4 (patch)
treeb173f50697ea901d896ecd064f34158377c51431 /README.md
parent22ad0584e906b52667585ea14e875a548dc4e35c (diff)
downloadpytorch-mmdetection-e5a2ce7b98a6be8a3472c2bf6c75d52c2fcff7b4.tar.gz
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onnx export is now a separate script
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@@ -5,6 +5,8 @@ This repository is an extension of the popular [mmdetection](https://github.com/
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6Kindly take time to read through the documentation of the original [mmdetection](https://github.com/open-mmlab/mmdetection) before attempting to use this repository. 6Kindly take time to read through the documentation of the original [mmdetection](https://github.com/open-mmlab/mmdetection) before attempting to use this repository.
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8Also, please read the documentation at our landing page [jacinto-ai-devkit](https://github.com/TexasInstruments/jacinto-ai-devkit) before using this repository.
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8 10
9## License 11## License
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@@ -13,11 +15,13 @@ Please see [LICENSE](./LICENSE) file.
13 15
14## Installation 16## Installation
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16This repository requires mmdet Python package from mmdetection to be installed. Please refer to [installation instructions for mmdetection](https://github.com/open-mmlab/mmdetection/blob/master/docs/install.md) for installation and also for dataset preparation. If you get any issues with the master branch of mmdetection, please try after checking out the latest release tag. 18This repository requires **mmdet** Python package from mmdetection to be installed.
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20Please refer to [installation instructions for mmdetection](https://github.com/open-mmlab/mmdetection/blob/master/docs/install.md) for installation instructions and also for dataset preparation. If you get any issues with the master branch of mmdetection, please try after checking out the latest release tag.
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18Note: mmdetection also requreis mmcv and several other dependencies to be installed as described in the above URL. 22Note: mmdetection also requreis **mmcv** and several other dependencies to be installed as described in the above URL.
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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 this repository uses several components from there - especially to define low complexity models and to do Quantization Aware Training (QAT) and Calibration. 24After installing **mmdet**, please clone and install [**PyTorch-Jacinto-AI-DevKit**](https://git.ti.com/cgit/jacinto-ai/pytorch-jacinto-ai-devkit/about/) using the link given in [jacinto-ai-devkit](https://github.com/TexasInstruments/jacinto-ai-devkit) as this repository uses several components from there - especially to define low complexity models and to do Quantization Aware Training (QAT) or Calibration.
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22 26
23## Get Started 27## Get Started
@@ -31,11 +35,18 @@ Please see [Usage](./docs/det_usage.md) for training and testing with this repos
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32Several trained models with accuracy report is available at [Jacinto-AI-Detection Model Zoo](./docs/det_modelzoo.md) 36Several trained models with accuracy report is available at [Jacinto-AI-Detection Model Zoo](./docs/det_modelzoo.md)
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38Note: This Model Zoo is not publicly available yet - we shall make this available shortly.
34 39
35## Quantization 40## Quantization
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37This tutorial explaines how to do [Quantization Aware Training](./docs/det_quantization.md) of detection models. We also provide sample QAT models. 42This tutorial explaines how to do [Quantization Aware Training](./docs/det_quantization.md) of detection models. We also provide sample QAT models.
38 43
44## ONNX & Prototxt Export
45- **Export of ONNX model (.onnx) and additional meta information (.prototxt)** is supported. The .prototxt contains meta information specified in **[TIDL](https://software-dl.ti.com/jacinto7/esd/processor-sdk-rtos-jacinto7/latest/exports/docs/psdk_rtos_auto/docs/user_guide/sdk_components.html#ti-deep-learning-library-tidl)** for object detectors.
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47- The export of meta information is now supported for **SSD** and **RetinaNet** detectors.
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49- For more information please see [Usage](./docs/det_usage.md)
39 50
40## Acknowledgement 51## Acknowledgement
41 52