Track R-CNN代码 使用作者的运行环境顺利运行

create requirements_conda.txt

_libgcc_mutex=0.1=main
_tflow_select=2.1.0=gpu
absl-py=0.8.0=py36_0
astor=0.8.0=py36_0
blas=1.0=openblas
c-ares=1.15.0=h7b6447c_1001
ca-certificates=2019.10.16=0
certifi=2019.9.11=py36_0
cloudpickle=1.2.2=py_0
cudatoolkit=10.0.130=0
cudnn=7.6.0=cuda10.0_0
cupti=10.0.130=0
cycler=0.10.0=py36_0
cython=0.29.13=py36he6710b0_0
cytoolz=0.10.0=py36h7b6447c_0
dask-core=2.6.0=py_0
dbus=1.13.6=h746ee38_0
decorator=4.4.0=py36_1
expat=2.2.6=he6710b0_0
fontconfig=2.13.0=h9420a91_0
freetype=2.9.1=h8a8886c_1
gast=0.3.2=py_0
glib=2.56.2=hd408876_0
grpcio=1.16.1=py36hf8bcb03_1
gst-plugins-base=1.14.0=hbbd80ab_1
gstreamer=1.14.0=hb453b48_1
h5py=2.9.0=py36h7918eee_0
hdf5=1.10.4=hb1b8bf9_0
icu=58.2=h9c2bf20_1
imageio=2.6.1=py36_0
intel-openmp=2019.4=243
joblib=0.13.2=py36_0
jpeg=9b=h024ee3a_2
keras-applications=1.0.8=py_0
keras-preprocessing=1.1.0=py_1
kiwisolver=1.1.0=py36he6710b0_0
libedit=3.1.20181209=hc058e9b_0
libffi=3.2.1=hd88cf55_4
libgcc-ng=9.1.0=hdf63c60_0
libgfortran-ng=7.3.0=hdf63c60_0
libopenblas=0.2.20=h9ac9557_7
libpng=1.6.37=hbc83047_0
libprotobuf=3.9.2=hd408876_0
libstdcxx-ng=9.1.0=hdf63c60_0
libtiff=4.0.10=h2733197_2
libuuid=1.0.3=h1bed415_2
libxcb=1.13=h1bed415_1
libxml2=2.9.9=hea5a465_1
markdown=3.1.1=py36_0
matplotlib=3.1.1=py36h5429711_0
mkl=2019.4=243
mkl-service=2.3.0=py36he904b0f_0
mock=3.0.5=py36_0
ncurses=6.1=he6710b0_1
networkx=2.4=py_0
numpy=1.14.2=py36_nomklh2b20989_1
olefile=0.46=py36_0
openssl=1.1.1d=h7b6447c_3
pcre=8.43=he6710b0_0
pillow=6.2.0=py36h34e0f95_0
pip=19.3.1=py36_0
protobuf=3.9.2=py36he6710b0_0
pyparsing=2.4.2=py_0
pyqt=5.9.2=py36h05f1152_2
python=3.6.9=h265db76_0
python-dateutil=2.8.0=py36_0
pytz=2019.3=py_0
pywavelets=1.0.3=py36hdd07704_1
qt=5.9.7=h5867ecd_1
readline=7.0=h7b6447c_5
scikit-image=0.15.0=py36he6710b0_0
scikit-learn=0.19.1=py36_nomklh6cfcb94_0
scipy=0.19.1=py36_nomklh59deb5f_3
setuptools=41.4.0=py36_0
sip=4.19.8=py36hf484d3e_0
six=1.12.0=py36_0
sqlite=3.30.0=h7b6447c_0
tensorboard=1.13.1=py36hf484d3e_0
tensorflow=1.13.1=gpu_py36h3991807_0
tensorflow-base=1.13.1=gpu_py36h8d69cac_0
tensorflow-estimator=1.13.0=py_0
tensorflow-gpu=1.13.1=h0d30ee6_0
termcolor=1.1.0=py36_1
tk=8.6.8=hbc83047_0
toolz=0.10.0=py_0
tornado=6.0.3=py36h7b6447c_0
werkzeug=0.16.0=py_0
wheel=0.33.6=py36_0
xz=5.2.4=h14c3975_4
zlib=1.2.11=h7b6447c_3
zstd=1.3.7=h0b5b093_0

create requirements_pip.txt

munkres==1.1.2
opencv-python==4.1.1.26
pycocotools==2.0.0
pypng==0.0.20

切换路径，配置环境

conda install --file=requirements_conda.txt
pip install -r requirements_pip.txt