code base of object detection.
1. 安装conda python环境
- `conda create -n xxx python=3.7/3.8`
- `conda activate xxx`
2. 运行脚本，自动安装pytorch1.8.0环境
- `bash install.sh'
1. 修改`configs`里的模型配置文件，包括数据集路径，类别等；
2. 运行`train.py`训练，设置config，epochs，gpu等：
- `python train.py -c configs/xxx.yaml --epochs * --n_gpu *`
`python val.py -c configs/xxx.yaml --weights (训练完成的模型权重)`
`python detect.py -c configs/xxx.yaml --weights (权重) -s (voc/cam)`
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