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metric_depth/dist_train.sh
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26
metric_depth/dist_train.sh
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#!/bin/bash
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now=$(date +"%Y%m%d_%H%M%S")
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epoch=120
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bs=4
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gpus=8
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lr=0.000005
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encoder=vitl
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dataset=hypersim # vkitti
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img_size=518
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min_depth=0.001
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max_depth=20 # 80 for virtual kitti
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pretrained_from=../checkpoints/depth_anything_v2_${encoder}.pth
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save_path=exp/hypersim # exp/vkitti
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mkdir -p $save_path
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python3 -m torch.distributed.launch \
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--nproc_per_node=$gpus \
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--nnodes 1 \
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--node_rank=0 \
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--master_addr=localhost \
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--master_port=20596 \
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train.py --epoch $epoch --encoder $encoder --bs $bs --lr $lr --save-path $save_path --dataset $dataset \
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--img-size $img_size --min-depth $min_depth --max-depth $max_depth --pretrained-from $pretrained_from \
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--port 20596 2>&1 | tee -a $save_path/$now.log
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