computer-visiondeep-learningdeploymentmmdetectionmmsegmentationmodel-converterncnnonnxonnxruntimeopenvinopplnnpytorchsdktensorrt
9306bcec80
* bump version to v0.4.0
* [Enhancement] Make rewriter more powerful (#150)
* Finish function tests
* lint
* resolve comments
* Fix tests
* docstring & fix
* Complement informations
* lint
* Add example
* Fix version
* Remove todo
Co-authored-by: RunningLeon <mnsheng@yeah.net>
* Torchscript support (#159)
* support torchscript
* add nms
* add torchscript configs and update deploy process and dump-info
* typescript -> torchscript
* add torchscript custom extension support
* add ts custom ops again
* support mmseg unet
* [WIP] add optimizer for torchscript (#119)
* add passes
* add python api
* Torchscript optimizer python api (#121)
* add passes
* add python api
* use python api instead of executable
* Merge Master, update optimizer (#151)
* [Feature] add yolox ncnn (#29)
* add yolox ncnn
* add ncnn android performance of yolox
* add ut
* fix lint
* fix None bugs for ncnn
* test codecov
* test codecov
* add device
* fix yapf
* remove if-else for img shape
* use channelshuffle optimize
* change benchmark after channelshuffle
* fix yapf
* fix yapf
* fuse continuous reshape
* fix static shape deploy
* fix code
* drop pad
* only static shape
* fix static
* fix docstring
* Added mask overlay to output image, changed fprintf info messages to … (#55)
* Added mask overlay to output image, changed fprintf info messages to stdout
* Improved box filtering (filter area/score), make sure roi coordinates stay within bounds
* clang-format
* Support UNet in mmseg (#77)
* Repeatdataset in train has no CLASSES & PALETTE
* update result for unet
* update docstring for mmdet
* remove ppl for unet in docs
* fix ort wrap about input type (#81)
* Fix memleak (#86)
* delete []
* fix build error when enble MMDEPLOY_ACTIVE_LEVEL
* fix lint
* [Doc] Nano benchmark and tutorial (#71)
* add cls benchmark
* add nano zh-cn benchmark and en tutorial
* add device row
* add doc path to index.rst
* fix typo
* [Fix] fix missing deploy_core (#80)
* fix missing deploy_core
* mv flag to demo
* target link
* [Docs] Fix links in Chinese doc (#84)
* Fix docs in Chinese link
* Fix links
* Delete symbolic link and add links to html
* delete files
* Fix link
* [Feature] Add docker files (#67)
* add gpu and cpu dockerfile
* fix lint
* fix cpu docker and remove redundant
* use pip instead
* add build arg and readme
* fix grammar
* update readme
* add chinese doc for dockerfile and add docker build to build.md
* grammar
* refine dockerfiles
* add FAQs
* update Dpplcv_DIR for SDK building
* remove mmcls
* add sdk demos
* fix typo and lint
* update FAQs
* [Fix]fix check_env (#101)
* fix check_env
* update
* Replace convert_syncbatchnorm in mmseg (#93)
* replace convert_syncbatchnorm with revert_sync_batchnorm from mmcv
* change logger
* [Doc] Update FAQ for TensorRT (#96)
* update FAQ
* comment
* [Docs]: Update doc for openvino installation (#102)
* fix docs
* fix docs
* fix docs
* fix mmcv version
* fix docs
* rm blank line
* simplify non batch nms (#99)
* [Enhacement] Allow test.py to save evaluation results (#108)
* Add log file
* Delete debug code
* Rename logger
* resolve comments
* [Enhancement] Support mmocr v0.4+ (#115)
* support mmocr v0.4+
* 0.4.0 -> 0.4.1
* fix onnxruntime wrapper for gpu inference (#123)
* fix ncnn wrapper for ort-gpu
* resolve comment
* fix lint
* Fix typo (#132)
* lock mmcls version (#131)
* [Enhancement] upgrade isort in pre-commit config (#141)
* [Enhancement] upgrade isort in pre-commit config by refering to mmflow pr #87
* fix lint
* remove .isort.cfg and put its known_third_party to setup.cfg
* Fix ci for mmocr (#144)
* fix mmocr unittests
* remove useless
* lock mmdet maximum version to 2.20
* pip install -U numpy
* Fix capture_output (#125)
Co-authored-by: hanrui1sensetime <83800577+hanrui1sensetime@users.noreply.github.com>
Co-authored-by: Johannes L <tehkillerbee@users.noreply.github.com>
Co-authored-by: RunningLeon <mnsheng@yeah.net>
Co-authored-by: VVsssssk <88368822+VVsssssk@users.noreply.github.com>
Co-authored-by: lvhan028 <lvhan_028@163.com>
Co-authored-by: AllentDan <41138331+AllentDan@users.noreply.github.com>
Co-authored-by: Yifan Zhou <singlezombie@163.com>
Co-authored-by: 杨培文 (Yang Peiwen) <915505626@qq.com>
Co-authored-by: Semyon Bevzyuk <semen.bevzuk@gmail.com>
* configs for all tasks
* use torchvision roi align
* remote unnecessary code
* fix ut
* fix ut
* export
* det dynamic
* det dynamic
* add ut
* fix ut
* add ut and docs
* fix ut
* skip torchscript ut if no ops available
* add torchscript option to build.md
* update benchmark and resolve comments
* resolve conflicts
* rename configs
* fix mrcnn cuda test
* remove useless
* add version requirements to docs and comments to codes
* enable empty image exporting for torchscript and accelerate ORT inference for MRCNN
* rebase
* update example for torchscript.md
* update FAQs for torchscript.md
* resolve comments
* only use torchvision roi_align for torchscript
* fix ut
* use torchvision roi align when pool model is avg
* resolve comments
Co-authored-by: grimoire <streetyao@live.com>
Co-authored-by: grimoire <yaoqian@sensetime.com>
Co-authored-by: hanrui1sensetime <83800577+hanrui1sensetime@users.noreply.github.com>
Co-authored-by: Johannes L <tehkillerbee@users.noreply.github.com>
Co-authored-by: RunningLeon <mnsheng@yeah.net>
Co-authored-by: VVsssssk <88368822+VVsssssk@users.noreply.github.com>
Co-authored-by: lvhan028 <lvhan_028@163.com>
Co-authored-by: Yifan Zhou <singlezombie@163.com>
Co-authored-by: 杨培文 (Yang Peiwen) <915505626@qq.com>
Co-authored-by: Semyon Bevzyuk <semen.bevzuk@gmail.com>
* Update supported mmseg models (#181)
* fix ocrnet cascade decoder
* update mmseg support models
* update mmseg configs
* support emanet and icnet
* set max K of TopK for tensorrt
* update supported models for mmseg in docs
* add test for emamodule
* add configs and update docs
* Update docs
* update benchmark
* [Features]Support mmdet3d (#103)
* add mmdet3d code
* add code
* update code
* [log]This commit finish pointpillar export and evaluate on onnxruntime.The model is sample with nvidia repo model
* add tensorrt config
* fix config
* update
* support for tensorrt
* add config
* fix config`
* fix apis about torch2onnx
* update
* mmdet3d deploy version1.0
* map is ok
* fix code
* version1.0
* fix code
* fix visual
* fix bug
* tensorrt support success
* add docstring
* add docs
* fix docs
* fix comments
* fix comment
* fix comment
* fix openvino wrapper
* add unit test
* fix device about cpu
* fix comment
* fix show_result
* fix lint
* fix requirments
* remove ci about det3d
* fix ut
* add ut data
* support for new version pointpillars
* fix comment
* fix support_list
* fix comments
* fix config name
* [Enhancement] Update pad logic in detection heads (#168)
* pad with register
* fix lint
Co-authored-by: AllentDan <dongchunyu@sensetime.com>
* [Enhancement] Additional arguments support for OpenVINO Model Optimizer (#178)
* Add mo args.
* [Docs]: update docs and argument descriptions (#196)
* bump version to v0.4.0
* update docs and argument descriptions
* revert version change
* fix unnecessary change of config for dynamic exportation (#199)
* fix mmcls get classes (#215)
* fix mmcls get classes
* resolve comment
* resolve comment
* Add ModelOptimizerOptions.
* Fix merge bugs.
* Update mmpose.md (#224)
* [Dostring]add example in apis docstring (#214)
* add example in apis docstring
* add backend example in docstring
* rm blank line
* Fixed get_mo_options_from_cfg args
* fix l2norm test
Co-authored-by: RunningLeon <mnsheng@yeah.net>
Co-authored-by: Haofan Wang <frankmiracle@outlook.com>
Co-authored-by: VVsssssk <88368822+VVsssssk@users.noreply.github.com>
Co-authored-by: grimoire <yaoqian@sensetime.com>
* [Enhancement] Switch to statically typed Value::Any (#209)
* replace std::any with StaticAny
* fix __compare_typeid
* remove fallback id support
* constraint on traits::TypeId<T>::value
* fix includes
* [Enhancement] TensorRT DCN support (#205)
* add tensorrt dcn support
* fix lint
* remove roi_align plugin for ORT (#258)
* remove roi_align plugin
* remove ut
* skip single_roi_extractor UT for ORT in CI
* move align to symbolic and update docs
* recover UT
* resolve comments
* [Enhancement]: Support fcn_unet deployment with dynamic shape (#251)
* support mmseg fcn+unet dynamic shape
* add test
* fix ci
* fix units
* resolve comments
* [Enhancement] fix-cmake-relocatable (#223)
* require user to specify xxx_dir
* fix line ending
* fix end-of-file-fixer
* try to fix ld cudart cublas
* add ENV var search
* fix CMAKE_CUDA_COMPILER
* cpu, cuda should all work well
* remove commented code
* fix ncnn example find ncnn package (#282)
* table format is wrong (#283)
* update pre-commit (#284)
* update pre-commit
* fix clang-format
* fix mmseg config (#281)
* fix mmseg config
* fix mmpose evaluate outputs
* fix lint
* update pre-commit config
* fix lint
* Revert "update pre-commit config"
This reverts commit
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| cmake | ||
| configs | ||
| csrc | ||
| demo | ||
| docker | ||
| docs | ||
| mmdeploy | ||
| requirements | ||
| resources | ||
| tests | ||
| third_party | ||
| tools | ||
| .clang-format | ||
| .gitignore | ||
| .gitmodules | ||
| .pre-commit-config.yaml | ||
| .pylintrc | ||
| .readthedocs.yml | ||
| CITATION.cff | ||
| CMakeLists.txt | ||
| LICENSE | ||
| MANIFEST.in | ||
| README.md | ||
| README_zh-CN.md | ||
| requirements.txt | ||
| setup.cfg | ||
| setup.py | ||
README.md
Introduction
English | 简体中文
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project.
Major features
-
Fully support OpenMMLab models
We provide a unified model deployment toolbox for the codebases in OpenMMLab. The supported codebases are listed as below, and more will be added in the future
- MMClassification
- MMDetection
- MMSegmentation
- MMEditing
- MMOCR
- MMPose
-
Multiple inference backends are available
Models can be exported and run in different backends. The following ones are supported, and more will be taken into consideration
- ONNX Runtime
- TensorRT
- PPLNN
- ncnn
- OpenVINO
-
Efficient and highly scalable SDK Framework by C/C++
All kinds of modules in SDK can be extensible, such as
Transformfor image processing,Netfor Neural Network inference,Modulefor postprocessing and so on
License
This project is released under the Apache 2.0 license.
Installation
Please refer to build.md for installation.
Getting Started
Please see getting_started.md for the basic usage of MMDeploy. We also provide other tutorials for:
- how to convert model
- how to write config
- how to support new models
- how to measure performance of models
Please refer to FAQ for frequently asked questions.
Benchmark and model zoo
Results and supported model list are available in the benchmark and model list.
Contributing
We appreciate all contributions to improve MMDeploy. Please refer to CONTRIBUTING.md for the contributing guideline.
Acknowledgement
We would like to sincerely thank the following teams for their contributions to MMDeploy:
Citation
If you find this project useful in your research, please consider cite:
@misc{=mmdeploy,
title={OpenMMLab's Model Deployment Toolbox.},
author={MMDeploy Contributors},
howpublished = {\url{https://github.com/open-mmlab/mmdeploy}},
year={2021}
}
Projects in OpenMMLab
- MMCV: OpenMMLab foundational library for computer vision.
- MIM: MIM installs OpenMMLab packages.
- MMClassification: OpenMMLab image classification toolbox and benchmark.
- MMDetection: OpenMMLab detection toolbox and benchmark.
- MMDetection3D: OpenMMLab's next-generation platform for general 3D object detection.
- MMRotate: OpenMMLab rotated object detection toolbox and benchmark.
- MMSegmentation: OpenMMLab semantic segmentation toolbox and benchmark.
- MMOCR: OpenMMLab text detection, recognition, and understanding toolbox.
- MMPose: OpenMMLab pose estimation toolbox and benchmark.
- MMHuman3D: OpenMMLab 3D human parametric model toolbox and benchmark.
- MMSelfSup: OpenMMLab self-supervised learning toolbox and benchmark.
- MMRazor: OpenMMLab model compression toolbox and benchmark.
- MMFewShot: OpenMMLab fewshot learning toolbox and benchmark.
- MMAction2: OpenMMLab's next-generation action understanding toolbox and benchmark.
- MMTracking: OpenMMLab video perception toolbox and benchmark.
- MMFlow: OpenMMLab optical flow toolbox and benchmark.
- MMEditing: OpenMMLab image and video editing toolbox.
- MMGeneration: OpenMMLab image and video generative models toolbox.
- MMDeploy: OpenMMLab model deployment framework.