0%
Theme NexT works best with JavaScript enabled
1.dataset准备 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 source scripts/prepare_data.sh -----------------> mkdir -p data //在VIBE文件夹下创建data文件夹 cd data gdown "https://drive.google.com/uc?id=1untXhYOLQtpNEy4GTY_0fL_H-k6cTf_r"//这个我直接电脑下载,传到服务器的 unzip vibe_data.zip //解压出一个vibe_data文件夹 rm vibe_data.zip cd .. mv data/vibe_data/sample_video.mp4 .//无用代码 mkdir -p $HOME/.torch/models/ mv data/vibe_data/yolov3.weights $HOME/.torch/models/ source scripts/prepare_training_data.sh //这部分data处理需要vibe_data文件夹的东西 ------------------------------------> mkdir -p ./data/vibe_db export PYTHONPATH="./:$PYTHONPATH" # AMASS(discriminator DATASETS)//数据集目标不一致 python lib/data_utils/amass_utils.py --dir ./data/amass # InstaVariety(DATASETS_2D)//直接下载18G的处理后的数据,到vibe_db # Comment this if you already downloaded the preprocessed file python lib/data_utils/insta_utils.py --dir ./data/insta_variety # 3DPW(DATASET_EVAL)//下载imagefiles和sequencefiles,然后跑这行代码就行 python lib/data_utils/threedpw_utils.py --dir ./data/3dpw # MPI-INF-3D-HP(DATASETS_3D)//下载压缩包里有.sh脚本文件,需要利用脚本下载,还要先把里面的config的0变成1,才能下载;下载完还需要一个sh提取extract_mpi_inf_3dhp_frames.py,然后再用pre.sh处理 python lib/data_utils/mpii3d_utils.py --dir ./data/mpi_inf_3dhp ----------------------------------->以下没啥用 # PoseTrack python lib/data_utils/posetrack_utils.py --dir ./data/posetrack # PennAction python lib/data_utils/penn_action_utils.py --dir ./data/penn_action