cd ../root/home/Custom-ava-dataset_Custom-Spatio-Temporally-Action-Video-Dataset/Dataset rm -rf choose_frames choose_frames_all choose_frames_middle frames rawframes mkdir choose_frames choose_frames_all choose_frames_middle frames rawframes2、帧操作
填充choose_frames和choose_frames_all文件夹
bash cut_frames.sh python choose_frames_all.py 15 0 python choose_frames.py 15 03、YOLO操作
cd ../yolovDeepsort rm -rf ./yolov5/runs python ./yolov5/detect.py --source ../Dataset/choose_frames_all/ --save-txt --save-conf cd ./mywork python dense_proposals_train.py ../yolov5/runs/detect/exp/labels ./dense_proposals_train.pkl show4、解压choose_frames_middle中的文件夹
cd ../../Dataset/choose_frames_middle unzip choose_frames_middle.zip5、提取标注完成的json文件
cd ../ python json_extract.py
这一步执行后,生成train_without_personId.csv文件
6、通过deepsort检测图片cd ../yolovDeepsort/mywork python dense_proposals_train_deepsort.py ../yolov5/runs/detect/exp/labels ./dense_proposals_train_deepsort.pkl show cd ../ python yolov5_to_deepsort.py --source ../Dataset/frames7、融合actions与personReID
cd ../Dataset python train_temp.py python train.py8、生成其他标注文件
cd ./annotations touch train_excluded_timestamps.csv cp ../../yolovDeepsort/mywork/dense_proposals_train.pkl . cp ./dense_proposals_train.pkl dense_proposals_val.pkl cp ./train.csv val.csv cp train_excluded_timestamps.csv val_excluded_timestamps.csv cd ../ cp -r ./frames/* rawframes cd ../yolovDeepsort/mywork/ python change_raw_frames.py9、修正文件
python change_dense_proposals_train.py python change_dense_proposals_val.py10、开始训练
cd ../../../mmaction2_YF python tools/train.py configs/detection/ava/my_slowfast_kinetics_pretrained_r50_4x16x1_20e_ava_rgb.py --validate



