init code commit after refactoring code

.gitignore

@@ -0,0 +1,148 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+evaldata/
+# C extensions
+*.so
+traj_plots
+# Distribution / packaging
+datasets/
+.Python
+build/
+evaldata
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+datasets/
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# output
+docs/api
+.code-workspace.code-workspace
+*.pkl
+*.npy
+*.pth
+*.onnx
+*.engine
+events.out.tfevents*
+pretrained
+YOLOX_outputs
+visualizations
+results/
+error_log.txt
+dance_detections/

Dockerfile

@@ -0,0 +1,53 @@
+FROM nvcr.io/nvidia/tensorrt:21.09-py3
+
+ENV DEBIAN_FRONTEND=noninteractive
+ARG USERNAME=user
+ARG WORKDIR=/workspace/OC_SORT
+
+RUN apt-get update && apt-get install -y \
+        automake autoconf libpng-dev nano python3-pip \
+        curl zip unzip libtool swig zlib1g-dev pkg-config \
+        python3-mock libpython3-dev libpython3-all-dev \
+        g++ gcc cmake make pciutils cpio gosu wget \
+        libgtk-3-dev libxtst-dev sudo apt-transport-https \
+        build-essential gnupg git xz-utils vim \
+        libva-drm2 libva-x11-2 vainfo libva-wayland2 libva-glx2 \
+        libva-dev libdrm-dev xorg xorg-dev protobuf-compiler \
+        openbox libx11-dev libgl1-mesa-glx libgl1-mesa-dev \
+        libtbb2 libtbb-dev libopenblas-dev libopenmpi-dev \
+    && sed -i 's/# set linenumbers/set linenumbers/g' /etc/nanorc \
+    && apt clean \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN git clone https://github.com/noahcao/OC_SORT\
+    && cd OC_SORT \
+    && git checkout 3434c5e8bc6a5ae8ad530528ba8d9a431967f237 \
+    && mkdir -p YOLOX_outputs/yolox_x_mix_det/track_vis \
+    && sed -i 's/torch>=1.7/torch==1.9.1+cu111/g' requirements.txt \
+    && sed -i 's/torchvision==0.10.0/torchvision==0.10.1+cu111/g' requirements.txt \
+    && sed -i "s/'cuda'/0/g" tools/demo_track.py \
+    && pip3 install pip --upgrade \
+    && pip3 install -r requirements.txt -f https://download.pytorch.org/whl/torch_stable.html \
+    && python3 setup.py develop \
+    && pip3 install cython \
+    && pip3 install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI' \
+    && pip3 install cython_bbox gdown \
+    && ldconfig \
+    && pip cache purge
+
+RUN git clone https://github.com/NVIDIA-AI-IOT/torch2trt \
+    && cd torch2trt \
+    && git checkout 0400b38123d01cc845364870bdf0a0044ea2b3b2 \
+    # https://github.com/NVIDIA-AI-IOT/torch2trt/issues/619
+    && wget https://github.com/NVIDIA-AI-IOT/torch2trt/commit/8b9fb46ddbe99c2ddf3f1ed148c97435cbeb8fd3.patch \
+    && git apply 8b9fb46ddbe99c2ddf3f1ed148c97435cbeb8fd3.patch \
+    && python3 setup.py install
+
+RUN echo "root:root" | chpasswd \
+    && adduser --disabled-password --gecos "" "${USERNAME}" \
+    && echo "${USERNAME}:${USERNAME}" | chpasswd \
+    && echo "%${USERNAME}    ALL=(ALL)   NOPASSWD:    ALL" >> /etc/sudoers.d/${USERNAME} \
+    && chmod 0440 /etc/sudoers.d/${USERNAME}
+USER ${USERNAME}
+RUN sudo chown -R ${USERNAME}:${USERNAME} ${WORKDIR}
+WORKDIR ${WORKDIR}

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2021 Yifu Zhang
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -9,6 +9,9 @@ This is the github repo for **<u>Observation-Centric SORT: Rethinking SORT for R
 <img src="assets/teaser.png" width="600"/>
 </center>
 
+## News
+* [04/02/2022]: A preview version is released after a primary cleanup and refactor. 
+* [03/27/2022]: The [arxiv preprint](https://arxiv.org/abs/2203.14360) of OC-SORT is released.
 
 ## Benchmark Performance
 
@@ -43,7 +46,12 @@ This is the github repo for **<u>Observation-Centric SORT: Rethinking SORT for R
 
 
 ## Get Started
-The code and document is coming soon here and in [mmtracking](https://github.com/open-mmlab/mmtracking). Stayed tuned!
+* See [INSTALL.md](./docs/INSTALL.md) for instructions of installing required components.
+
+* See [GET_STARTED.md](./docs/GET_STARTED.md) for how to get started with OC-SORT.
+
+* See [DEPLOY.md](./docs/DEPLOY.md) for deployment support over ONNX, TensorRT and ncnn.
+
 
 
 ## Model Zoo
@@ -71,7 +79,9 @@ python3 tools/demo_track.py --demo_type video -f exps/example/mot/yolox_dancetra
 
 
 ## Acknowledgement and Citation
-The codebase is built highly upon [YOLOX](https://github.com/Megvii-BaseDetection/YOLOX) and [ByteTrack](https://github.com/ifzhang/ByteTrack). We thank their wondeful works. If you find this work useful, please consider to cite our paper:
+The codebase is built highly upon [YOLOX](https://github.com/Megvii-BaseDetection/YOLOX), [filterpy](https://github.com/rlabbe/filterpy), and [ByteTrack](https://github.com/ifzhang/ByteTrack). We thank their wondeful works. OC-SORT, filterpy and ByteTrack are available under MIT License. And [YOLOX](https://github.com/Megvii-BaseDetection/YOLOX) uses Apache License 2.0 License.
+
+If you find this work useful, please consider to cite our paper:
 ```
 @misc{cao2022observationcentric,
       title={Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking}, 

deploy/ONNXRuntime/README.md

@@ -0,0 +1,19 @@
+## ByteTrack-ONNXRuntime in Python
+
+This doc introduces how to convert your pytorch model into onnx, and how to run an onnxruntime demo to verify your convertion.
+
+### Convert Your Model to ONNX
+
+```shell
+cd <ByteTrack_HOME>
+python3 tools/export_onnx.py --output-name bytetrack_s.onnx -f exps/example/mot/yolox_s_mix_det.py -c pretrained/bytetrack_s_mot17.pth.tar
+```
+
+### ONNXRuntime Demo
+
+You can run onnx demo with **16 FPS** (96-core Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz):
+
+```shell
+cd <ByteTrack_HOME>/deploy/ONNXRuntime
+python3 onnx_inference.py
+```