The memtrack from tyyyang

config json file

@skyoung Thank you for the work. Is it possible for you to provide scripts for generating the cfg.json for all the datasets? I can not run your demo with the following error:

Traceback (most recent call last):
  File "demo.py", line 112, in <module>
    run_tracker()
  File "demo.py", line 93, in run_tracker
    seq = load_seq_config('Basketball')
  File "demo.py", line 55, in load_seq_config
    configFile = open(src)

This is the environment configuration required for the project（with Conda）

File Name: memtrack.yaml (This is the Conda configuration file)
File Content：

name: memtrack
channels:
  - https://mirrors.ustc.edu.cn/anaconda/pkgs/main
  - https://mirrors.ustc.edu.cn/anaconda/pkgs/free
  - https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64/
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
  - https://mirrors.ustc.edu.cn/anaconda/cloud/menpo/
  - https://mirrors.ustc.edu.cn/anaconda/cloud/bioconda/
  - https://mirrors.ustc.edu.cn/anaconda/cloud/msys2/
  - https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/
  - https://mirrors.ustc.edu.cn/anaconda/pkgs/free/
  - https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
  - defaults
dependencies:
  - _libgcc_mutex=0.1=conda_forge
  - _openmp_mutex=4.5=1_gnu
  - backports=1.0=py_2
  - backports.weakref=1.0rc1=py36_0
  - bleach=1.5.0=py36_0
  - bzip2=1.0.8=h7b6447c_0
  - ca-certificates=2021.1.19=h06a4308_0
  - cairo=1.14.12=h8948797_3
  - certifi=2020.12.5=py36h06a4308_0
  - cudatoolkit=8.0=3
  - cudnn=6.0.21=cuda8.0_0
  - ffmpeg=4.0=hcdf2ecd_0
  - fontconfig=2.13.1=h6c09931_0
  - freeglut=3.0.0=hf484d3e_5
  - freetype=2.10.4=h5ab3b9f_0
  - glib=2.67.4=h36276a3_1
  - graphite2=1.3.14=h23475e2_0
  - harfbuzz=1.8.8=hffaf4a1_0
  - hdf5=1.10.2=hc401514_3
  - html5lib=0.9999999=py36_0
  - icu=58.2=he6710b0_3
  - importlib-metadata=3.7.0=py36h5fab9bb_0
  - jasper=2.0.14=h07fcdf6_1
  - jpeg=9b=h024ee3a_2
  - lcms2=2.11=h396b838_0
  - ld_impl_linux-64=2.35.1=hea4e1c9_2
  - libblas=3.9.0=8_openblas
  - libcblas=3.9.0=8_openblas
  - libffi=3.3=h58526e2_2
  - libgcc=7.2.0=h69d50b8_2
  - libgcc-ng=9.3.0=h2828fa1_18
  - libgfortran=3.0.0=1
  - libgfortran-ng=9.3.0=hff62375_18
  - libgfortran5=9.3.0=hff62375_18
  - libglu=9.0.0=hf484d3e_1
  - libgomp=9.3.0=h2828fa1_18
  - liblapack=3.9.0=8_openblas
  - libopenblas=0.3.12=pthreads_h4812303_1
  - libopencv=3.4.2=hb342d67_1
  - libopus=1.3.1=h7b6447c_0
  - libpng=1.6.37=hbc83047_0
  - libprotobuf=3.15.2=h780b84a_0
  - libstdcxx-ng=9.3.0=h6de172a_18
  - libtiff=4.1.0=h2733197_1
  - libuuid=1.0.3=h1bed415_2
  - libvpx=1.7.0=h439df22_0
  - libxcb=1.14=h7b6447c_0
  - libxml2=2.9.10=hb55368b_3
  - lz4-c=1.9.3=h2531618_0
  - markdown=3.3.3=pyh9f0ad1d_0
  - ncurses=6.2=h58526e2_4
  - numpy=1.16.4=py36h95a1406_0
  - olefile=0.46=py36_0
  - opencv=3.4.2=py36h6fd60c2_1
  - openssl=1.1.1j=h27cfd23_0
  - pcre=8.44=he6710b0_0
  - pillow=8.1.0=py36he98fc37_0
  - pip=21.0.1=pyhd8ed1ab_0
  - pixman=0.40.0=h7b6447c_0
  - protobuf=3.15.2=py36hc4f0c31_0
  - py-opencv=3.4.2=py36hb342d67_1
  - python=3.6.13=hffdb5ce_0_cpython
  - python_abi=3.6=1_cp36m
  - readline=8.0=he28a2e2_2
  - setuptools=49.6.0=py36h5fab9bb_3
  - six=1.15.0=pyh9f0ad1d_0
  - sqlite=3.34.0=h74cdb3f_0
  - tensorflow-gpu=1.2.1=py36cuda8.0cudnn6.0_0
  - tk=8.6.10=h21135ba_1
  - typing_extensions=3.7.4.3=py_0
  - webencodings=0.5.1=py_1
  - werkzeug=1.0.1=pyh9f0ad1d_0
  - wheel=0.36.2=pyhd3deb0d_0
  - xz=5.2.5=h516909a_1
  - zipp=3.4.0=py_0
  - zlib=1.2.11=h516909a_1010
  - zstd=1.4.5=h9ceee32_0
  - pip:
    - opencv-python==4.5.1.48
prefix: /home/dc2-user/anaconda3/envs/memtrack

where are train.py and process_data.sh file

Hi Tianyu,
I would like to train the tracker from scratch but it seems like there are no training scripts like train.py and process_data.sh, could you please upload them?
Many thanks,
Yiming

For the first time step, how do you initialize the memory?

Actually, what do the memory contents and the difference between memory slots and memory key?

Is there any code based on C++ implementation?

VOT test code

Hi, Tianyu:
Thank you for sharing your code, would you like to provide the tracker file you run for the vot-toolkit?

tyyyang / memtrack Goto Github PK

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Could you make your results public

config json file

This is the environment configuration required for the project（with Conda）

where are train.py and process_data.sh file

For the first time step, how do you initialize the memory?

Is there any code based on C++ implementation?

VOT test code

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