PANDA-multi-object-detection-and-tracking

Environment

# packages in environment at D:\anaconda\envs\mmlab:
#
# Name                    Version                   Build  Channel
addict                    2.4.0                    pypi_0    pypi
atomicwrites              1.4.0                    pypi_0    pypi
blas                      1.0                         mkl    defaults
blas-devel                3.9.0                     8_mkl    conda-forge
ca-certificates           2021.1.19            haa95532_1    defaults
certifi                   2020.12.5        py39haa95532_0    defaults
cudatoolkit               11.0.3               h3f58a73_8    conda-forge
cycler                    0.10.0                   pypi_0    pypi
cython                    0.29.22                  pypi_0    pypi
flake8                    3.9.0                    pypi_0    pypi
flake8-import-order       0.18.1                   pypi_0    pypi
freetype                  2.10.4               h546665d_1    conda-forge
funcy                     1.15                     pypi_0    pypi
icc_rt                    2019.0.0             h0cc432a_1    defaults
iniconfig                 1.1.1                    pypi_0    pypi
intel-openmp              2020.3             h57928b3_311    conda-forge
jpeg                      9b                   hb83a4c4_2    defaults
kiwisolver                1.3.1                    pypi_0    pypi
lap                       0.4.0                    pypi_0    pypi
libblas                   3.9.0                     8_mkl    conda-forge
libcblas                  3.9.0                     8_mkl    conda-forge
liblapack                 3.9.0                     8_mkl    conda-forge
liblapacke                3.9.0                     8_mkl    conda-forge
libpng                    1.6.37               h1d00b33_2    conda-forge
libtiff                   4.1.0                h56a325e_1    defaults
libuv                     1.41.0               h8ffe710_0    conda-forge
lz4-c                     1.9.3                h8ffe710_0    conda-forge
m2w64-gcc-libgfortran     5.3.0                         6    conda-forge
m2w64-gcc-libs            5.3.0                         7    conda-forge
m2w64-gcc-libs-core       5.3.0                         7    conda-forge
m2w64-gmp                 6.1.0                         2    conda-forge
m2w64-libwinpthread-git   5.0.0.4634.697f757               2    conda-forge
matplotlib                3.4.0rc3                 pypi_0    pypi
mccabe                    0.6.1                    pypi_0    pypi
mkl                       2020.4             hb70f87d_311    conda-forge
mkl-devel                 2020.4             h57928b3_312    conda-forge
mkl-include               2020.4             hb70f87d_311    conda-forge
mkl-service               2.3.0            py39h196d8e1_0    defaults
mmcv-full                 1.2.7                    pypi_0    pypi
mmdet                     2.10.0                    dev_0    <develop>
mmpycocotools             12.0.3                   pypi_0    pypi
motmetrics                1.2.0                    pypi_0    pypi
msys2-conda-epoch         20160418                      1    conda-forge
ninja                     1.10.2               h5362a0b_0    conda-forge
numpy                     1.20.1           py39h6635163_0    conda-forge
olefile                   0.46               pyh9f0ad1d_1    conda-forge
opencv-python             4.5.1.48                 pypi_0    pypi
openssl                   1.1.1j               h2bbff1b_0    defaults
pandas                    1.2.3                    pypi_0    pypi
pillow                    8.1.2            py39h4fa10fc_0    defaults
pip                       21.0.1           py39haa95532_0    defaults
pluggy                    0.13.1                   pypi_0    pypi
py                        1.10.0                   pypi_0    pypi
py-cpuinfo                7.0.0                    pypi_0    pypi
pycodestyle               2.7.0                    pypi_0    pypi
pyflakes                  2.3.0                    pypi_0    pypi
pyparsing                 3.0.0b2                  pypi_0    pypi
pytest                    6.2.2                    pypi_0    pypi
pytest-benchmark          3.2.3                    pypi_0    pypi
python                    3.9.2                h6244533_0    defaults
python-dateutil           2.8.1                    pypi_0    pypi
python_abi                3.9                      1_cp39    conda-forge
pytorch                   1.7.1           py3.9_cuda110_cudnn8_0    pytorch
pyyaml                    5.4.1                    pypi_0    pypi
regex                     2020.11.13               pypi_0    pypi
scipy                     1.6.1            py39h14eb087_0    defaults
setuptools                52.0.0           py39haa95532_0    defaults
six                       1.15.0                   pypi_0    pypi
sqlite                    3.35.1               h2bbff1b_0    defaults
tk                        8.6.10               h8ffe710_1    conda-forge
toml                      0.10.2                   pypi_0    pypi
torchaudio                0.7.2                      py39    pytorch
torchvision               0.8.2                py39_cu110    pytorch
typing_extensions         3.7.4.3                    py_0    conda-forge
tzdata                    2020f                h52ac0ba_0    defaults
vc                        14.2                 h21ff451_1    defaults
vs2015_runtime            14.27.29016          h5e58377_2    defaults
wheel                     0.36.2             pyhd3eb1b0_0    defaults
wincertstore              0.2              py39h2bbff1b_0    defaults
xmltodict                 0.12.0                   pypi_0    pypi
xz                        5.2.5                h62dcd97_1    conda-forge
yapf                      0.31.0                   pypi_0    pypi
zlib                      1.2.11            h62dcd97_1010    conda-forge
zstd                      1.4.9                h6255e5f_0    conda-forge

初赛:65 /0.36/0.34/0.53/0.38/0.07/0.29/0.38

Faster RCNN + Schedule_1x(lr = 0.02) coco_detection(samples_per_gpu=8) GPU: 4 * 3090 24g