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shepnerdshepnerd
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reorganize
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‎.gitmodules‎

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[submodule "Pretrain/UniFormerV2"]
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path = Pretrain/UniFormerV2
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[submodule "InternVideo1/Pretrain/UniFormerV2"]
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path = InternVideo1/Pretrain/UniFormerV2
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url = https://github.com/OpenGVLab/UniFormerV2.git
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[submodule "Downstream/Ego-Tasks"]
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path = Downstream/Ego-Tasks
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[submodule "InternVideo1/Downstream/Ego-Tasks"]
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path = InternVideo1/Downstream/Ego-Tasks
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url = https://github.com/OpenGVLab/ego4d-eccv2022-solutions.git

‎Data/InternVid/.vscode/sftp.json‎

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{
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"name": "viclip-demo",
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"host": "jump.pjlab.org.cn",
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"protocol": "sftp",
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"port": 22,
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"username": "wangyi@[email protected]",
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"remotePath": "/Default/10.140.37.162/viclip-demo",
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"privateKeyPath": "C:/Users/wangyi/.ssh/id_rsa",
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"uploadOnSave": true,
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"useTempFile": false,
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"openSsh": false
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}

‎Data/InternVid/README.md‎

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‎Data/InternVid/start_annotation_prototype.sh‎

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unset http_proxy; unset https_proxy; unset HTTP_PROXY; unset HTTPS_PROXY
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JOB_NAME='data-annotate_check'
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OUTPUT_DIR="$(dirname $0)/$JOB_NAME"
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LOG_DIR="$(dirname $0)/logs/${JOB_NAME}"
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PARTITION='Video-aigc-general'
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NNODE=1
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NUM_GPUS=1
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NUM_CPU=16
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srun -p ${PARTITION} \
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--job-name=${JOB_NAME} \
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-n${NNODE} \
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--gres=gpu:${NUM_GPUS} \
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--ntasks-per-node=1 \
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--cpus-per-task=${NUM_CPU} \
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jupyter lab --ip=0.0.0.0

‎Downstream/Spatial-Temporal-Action-Localization/alphaction/__pycache__/__init__.cpython-37.pyc‎

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‎Downstream/Spatial-Temporal-Action-Localization/alphaction/config/__pycache__/defaults.cpython-37.pyc‎

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‎Downstream/Spatial-Temporal-Action-Localization/alphaction/config/__pycache__/defaults.cpython-39.pyc‎

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‎Downstream/Spatial-Temporal-Action-Localization/alphaction/config/__pycache__/paths_catalog.cpython-37.pyc‎

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