2022-03-25 23:28:16 +08:00
# Build for Android
- [Build for Android ](#build-for-android )
- [Build From Source ](#build-from-source )
- [Install Toolchains ](#install-toolchains )
- [Install Dependencies ](#install-dependencies )
- [Install Dependencies for SDK ](#install-dependencies-for-sdk )
- [Build MMDeploy ](#build-mmdeploy )
- [Build Options Spec ](#build-options-spec )
- [Build SDK ](#build-sdk )
- [Build Demo ](#build-demo )
---
MMDeploy provides cross compile for android platform.
Model converter is executed on linux platform, and SDK is executed on android platform.
Here are two steps for android build.
1. Build model converter on linux, please refer to [How to build linux ](./linux.md )
2. Build SDK using android toolchain on linux.
This doc is only for how to build SDK using android toolchain on linux.
## Build From Source
### Install Toolchains
- cmake
**Make sure cmake version >= 3.14.0** . If not, you can follow instructions below to install cmake 3.20.0. For more versions of cmake, please refer to [cmake website ](https://cmake.org/install ).
```bash
2022-03-28 13:45:08 +08:00
wget https://github.com/Kitware/CMake/releases/download/v3.20.0/cmake-3.20.0-linux-x86_64.tar.gz
tar -xzvf cmake-3.20.0-linux-x86_64.tar.gz
sudo ln -sf $(pwd)/cmake-3.20.0-linux-x86_64/bin/* /usr/bin/
2022-03-25 23:28:16 +08:00
```
- ANDROID NDK 19+
**Make sure android ndk version >= 19.0** . If not, you can follow instructions below to install android ndk r23b. For more versions of android ndk, please refer to [android ndk website ](https://developer.android.com/ndk/downloads ).
```bash
wget https://dl.google.com/android/repository/android-ndk-r23b-linux.zip
unzip android-ndk-r23b-linux.zip
cd android-ndk-r23b
export NDK_PATH=${PWD}
```
### Install Dependencies
#### Install Dependencies for SDK
You can skip this chapter if only interested in model converter.
< table >
< thead >
< tr >
< th > NAME < / th >
< th > INSTALLATION < / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > spdlog < / td >
< td >
< pre > < code >
git clone -b v1.9.2 https://github.com/gabime/spdlog.git
cd spdlog
export SPDLOG_DIR=${PWD}
mkdir -p build
cd build
cmake -DCMAKE_POSITION_INDEPENDENT_CODE=ON -DCMAKE_INSTALL_PREFIX=${SPDLOG_DIR} -DCMAKE_TOOLCHAIN_FILE=${NDK_PATH}/build/cmake/android.toolchain.cmake -DANDROID_ABI="arm64-v8a" -DANDROID_PLATFORM=android-30 ..
make install
< / code > < / pre >
< / td >
< / tr >
< tr >
< td > OpenCV< br > (>=3.0) < / td >
< td >
< pre > < code >
export OPENCV_VERSION=4.5.4
wget https://github.com/opencv/opencv/releases/download/${OPENCV_VERSION}/opencv-${OPENCV_VERSION}-android-sdk.zip
unzip opencv-${OPENCV_VERSION}-android-sdk.zip
export OPENCV_ANDROID_SDK_DIR=${PWD}/OpenCV-android-sdk
< / code > < / pre >
< / td >
< / tr >
< tr >
< td > ncnn < / td >
< td > A high-performance neural network inference computing framework supporting for android.< / br >
< b > Now, MMDeploy supports v20211208 and has to use < code > git clone< / code > to download it.< / b > < br >
< pre > < code >
git clone -b 20211208 https://github.com/Tencent/ncnn.git
cd ncnn
git submodule update --init
export NCNN_DIR=${PWD}
mkdir -p build
cd build
cmake -DCMAKE_TOOLCHAIN_FILE=${NDK_PATH}/build/cmake/android.toolchain.cmake -DANDROID_ABI="arm64-v8a" -DANDROID_PLATFORM=android-30 -DNCNN_VULKAN=ON -DNCNN_DISABLE_EXCEPTION=OFF -DNCNN_DISABLE_RTTI=OFF ..
make install
< / code > < / pre >
< / td >
< / tr >
< / tbody >
< / table >
### Build MMDeploy
#### Build Options Spec
< table >
< thead >
< tr >
< th > NAME< / th >
< th > VALUE< / th >
< th > DEFAULT< / th >
< th > REMARK< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > MMDEPLOY_BUILD_SDK< / td >
< td > {ON, OFF}< / td >
< td > OFF< / td >
< td > Switch to build MMDeploy SDK< / td >
< / tr >
< tr >
< td > MMDEPLOY_BUILD_SDK_PYTHON_API< / td >
< td > {ON, OFF}< / td >
< td > OFF< / td >
< td > switch to build MMDeploy SDK python package< / td >
< / tr >
< tr >
< td > MMDEPLOY_BUILD_TEST< / td >
< td > {ON, OFF}< / td >
< td > OFF< / td >
< td > Switch to build MMDeploy SDK unittest cases< / td >
< / tr >
< tr >
< td > MMDEPLOY_TARGET_DEVICES< / td >
< td > {"cpu"}< / td >
< td > cpu< / td >
< td > Enable target device. < br > If you want use ncnn vulkan accelerate, you still fill < code > {"cpu"}< / code > here. Because, vulkan accelerate is only for ncnn net. The other part of inference is still using cpu.< / td >
< / tr >
< tr >
< td > MMDEPLOY_TARGET_BACKENDS< / td >
< td > {"ncnn"}< / td >
< td > N/A< / td >
< td > Enabling inference engine. < br > < b > By default, no target inference engine is set, since it highly depends on the use case.< / b > < br > Only ncnn backend is supported for android platform now.< br >
After specifying the inference engine, it's package path has to be passed to cmake as follows, < br >
1. < b > ncnn</ b > : ncnn. < code > ncnn_DIR</ code > is needed.
< pre > < code > -Dncnn_DIR=${NCNN_DIR}/build/install/lib/cmake/ncnn< / code > < / pre >
< / td >
< / tr >
< tr >
< td > MMDEPLOY_CODEBASES< / td >
< td > {"mmcls", "mmdet", "mmseg", "mmedit", "mmocr", "all"}< / td >
< td > N/A< / td >
< td > Enable codebase's postprocess modules. It MUST be set by a semicolon separated list of codebase names. The currently supported codebases are 'mmcls', 'mmdet', 'mmedit', 'mmseg', 'mmocr'. Instead of listing them one by one, you can also pass < code > all< / code > to enable them all, i.e., < code > -DMMDEPLOY_CODEBASES=all< / code > < / td >
< / tr >
< tr >
< td > BUILD_SHARED_LIBS< / td >
< td > {ON, OFF}< / td >
< td > ON< / td >
< td > Switch to build shared library or static library of MMDeploy SDK. Now you should build static library for android. Bug will be fixed soon.< / td >
< / tr >
< / tbody >
< / table >
#### Build SDK
MMDeploy provides a recipe as shown below for building SDK with ncnn as inference engine for android.
- cpu + ncnn
```Bash
cd ${MMDEPLOY_DIR}
mkdir -p build & & cd build
cmake .. \
-DMMDEPLOY_BUILD_SDK=ON \
-DOpenCV_DIR=${OPENCV_ANDROID_SDK_DIR}/sdk/native/jni/abi-arm64-v8a \
-Dspdlog_DIR=${SPDLOG_DIR}/lib/cmake/spdlog \
-Dncnn_DIR=${NCNN_DIR}/build/install/lib/cmake/ncnn \
-DMMDEPLOY_TARGET_BACKENDS=ncnn \
-DMMDEPLOY_CODEBASES=all \
-DBUILD_SHARED_LIBS=OFF \
-DCMAKE_TOOLCHAIN_FILE=${NDK_PATH}/build/cmake/android.toolchain.cmake \
-DANDROID_ABI=arm64-v8a \
-DANDROID_PLATFORM=android-30 \
-DANDROID_CPP_FEATURES="rtti exceptions"
make -j$(nproc) & & make install
```
#### Build Demo
```Bash
cd ${MMDEPLOY_DIR}/build/install/example
mkdir -p build & & cd build
cmake .. \
-DOpenCV_DIR=${OPENCV_ANDROID_SDK_DIR}/sdk/native/jni/abi-arm64-v8a \
-Dspdlog_DIR=${SPDLOG_DIR}/lib/cmake/spdlog \
Dev v0.4.0 (#301)
* 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 c3fd71611f0b79dfa9ad73fc0f4555c1b3563665.
* miss code symbol (#296)
* refactor cmake build (#295)
* add-mmpose-sdk (#259)
* 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] 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>
* add-mmpose-codebase
* fix ci
* fix img_shape after TopDownAffine
* rename TopDown module -> XheadDecode & implement regression decode
* align keypoints_from_heatmap
* remove hardcode keypoint_head, need refactor, current only support topdown config
* add mmpose python api
* update mmpose-python code
* can't clip fake box
* fix rebase error
* fix rebase error
* link mspn decoder to base decoder
* fix ci
* compile with gcc7.5
* remove no use code
* fix
* fix prompt
* remove unnecessary cv::parallel_for_
* rewrite TopdownHeatmapMultiStageHead.inference_model
* add comment
* add more detail docstring why use _cs2xyxy in sdk backend
* fix Registry name
* remove no use param & add comment of output result
Co-authored-by: AllentDan <41138331+AllentDan@users.noreply.github.com>
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>
Co-authored-by: Haofan Wang <frankmiracle@outlook.com>
* update faq about WinError 1455 (#297)
* update faq about WinError 1455
* Update faq.md
* Update faq.md
* fix ci
Co-authored-by: chenxin2 <chenxin2@sensetime.com>
* [Feature]Support centerpoint (#252)
* 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
* support for centerpoint
* [Enhancement] TensorRT DCN support (#205)
* add tensorrt dcn support
* fix lint
* add docstring and dcn model support
* add centerpoint ut and docs
* add config and fix input rank
* fix merge error
* fix a bug
* fix comment
* [Doc] update benchmark add supported-model-list (#286)
* update benchmark add supported-model-list
* fix lint
* fix lint
* loc mmocr maximum version
* fix ut
Co-authored-by: maningsheng <mnsheng@yeah.net>
Co-authored-by: Yifan Zhou <singlezombie@163.com>
Co-authored-by: AllentDan <41138331+AllentDan@users.noreply.github.com>
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: lvhan028 <lvhan_028@163.com>
Co-authored-by: 杨培文 (Yang Peiwen) <915505626@qq.com>
Co-authored-by: Semyon Bevzyuk <semen.bevzuk@gmail.com>
Co-authored-by: AllentDan <dongchunyu@sensetime.com>
Co-authored-by: Haofan Wang <frankmiracle@outlook.com>
Co-authored-by: lzhangzz <lzhang329@gmail.com>
Co-authored-by: maningsheng <mnsheng@yeah.net>
Co-authored-by: Yifan Zhou <singlezombie@163.com>
Co-authored-by: AllentDan <41138331+AllentDan@users.noreply.github.com>
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: VVsssssk <88368822+VVsssssk@users.noreply.github.com>
Co-authored-by: 杨培文 (Yang Peiwen) <915505626@qq.com>
Co-authored-by: Semyon Bevzyuk <semen.bevzuk@gmail.com>
Co-authored-by: AllentDan <dongchunyu@sensetime.com>
Co-authored-by: Haofan Wang <frankmiracle@outlook.com>
Co-authored-by: lzhangzz <lzhang329@gmail.com>
Co-authored-by: Chen Xin <xinchen.tju@gmail.com>
Co-authored-by: chenxin2 <chenxin2@sensetime.com>
2022-04-01 18:14:23 +08:00
-Dncnn_DIR=${NCNN_DIR}/build/install/lib/cmake/ncnn \
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-DMMDeploy_DIR=${MMDEPLOY_DIR}/build/install/lib/cmake/MMDeploy \
-DCMAKE_TOOLCHAIN_FILE=${NDK_PATH}/build/cmake/android.toolchain.cmake \
-DANDROID_ABI=arm64-v8a \
-DANDROID_PLATFORM=android-30
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make -j$(nproc)
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```