你好，感谢您的工作，根据您开源的代码程序和数据，我进行了复现，qvhighlights训练的val ，有些指标还是差异比较大的 about cgdetr HOT 3 CLOSED

absl-py==0.13.0
asn1crypto==1.2.0
av==8.0.3
backcall==0.1.0
beautifulsoup4==4.8.2
cachetools==4.2.2
certifi==2019.11.28
cffi==1.13.0
chardet==3.0.4
conda==4.8.1
conda-build==3.18.11
conda-package-handling==1.6.0
cryptography==2.8
cycler==0.10.0
dataclasses==0.6
decorator==4.4.1
docopt==0.6.2
ffmpeg==1.4
filelock==3.0.12
future==0.18.2
glob2==0.7
google-auth==1.34.0
google-auth-oauthlib==0.4.5
grpcio==1.39.0
idna==2.8
imageio==2.9.0
importlib-metadata==4.6.3
ipython==7.11.1
ipython-genutils==0.2.0
jedi==0.15.2
Jinja2==2.10.3
joblib==1.0.1
kiwisolver==1.3.1
libarchive-c==2.8
lief==0.9.0
Markdown==3.3.4
MarkupSafe==1.1.1
matplotlib==3.4.2
mkl-fft==1.0.15
mkl-random==1.1.0
mkl-service==2.3.0
numpy==1.17.4
nvidia-cublas-cu11==11.10.3.66
nvidia-cuda-nvrtc-cu11==11.7.99
nvidia-cuda-runtime-cu11==11.7.99
nvidia-cudnn-cu11==8.5.0.96
oauthlib==3.1.1
olefile==0.46
opencv-contrib-python==4.5.3.56
opencv-python==4.5.1.48
pandas==1.3.1
parso==0.5.2
pexpect==4.7.0
pickleshare==0.7.5
Pillow==7.0.0
pkginfo==1.5.0.1
prompt-toolkit==3.0.2
protobuf==3.15.6
psutil==5.6.7
ptyprocess==0.6.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycosat==0.6.3
pycparser==2.19
Pygments==2.5.2
pyOpenSSL==19.0.0
pyparsing==2.4.7
PySocks==1.7.1
python-dateutil==2.8.2
pytz==2019.3
PyYAML==5.2
requests==2.22.0
requests-oauthlib==1.3.0
rsa==4.7.2
ruamel-yaml==0.15.46
scikit-learn==0.24.2
scikit-video==1.1.11
scipy==1.7.1
six==1.12.0
soupsieve==1.9.5
tensorboard==2.5.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorboardX==2.1
threadpoolctl==2.2.0
torch==1.13.1
torchtext==0.14.1
torchvision==0.10.0
tqdm==4.36.1
traitlets==4.3.3
typing-extensions==3.10.0.0
urllib3==1.24.2
wcwidth==0.1.7
Werkzeug==2.0.1
zipp==3.5.0