release cotracker 2.0

launch_training.sh

@@ -0,0 +1,24 @@
+#!/bin/bash
+
+EXP_DIR=$1
+EXP_NAME=$2
+DATE=$3
+DATASET_ROOT=$4
+NUM_STEPS=$5
+
+
+echo `which python`
+
+mkdir -p ${EXP_DIR}/${DATE}_${EXP_NAME}/logs/;
+
+export PYTHONPATH=`(cd ../ && pwd)`:`pwd`:$PYTHONPATH
+sbatch --comment=${EXP_NAME} --partition=learn --time=39:00:00 --gpus-per-node=8 --nodes=4 --ntasks-per-node=8 \
+--job-name=${EXP_NAME} --cpus-per-task=10 --signal=USR1@60 --open-mode=append \
+--output=${EXP_DIR}/${DATE}_${EXP_NAME}/logs/%j_%x_%A_%a_%N.out \
+--error=${EXP_DIR}/${DATE}_${EXP_NAME}/logs/%j_%x_%A_%a_%N.err \
+--wrap="srun --label python ./train.py --batch_size 1 \
+--num_steps ${NUM_STEPS} --ckpt_path ${EXP_DIR}/${DATE}_${EXP_NAME} --model_name cotracker \
+--save_freq 200 --sequence_len 24 --eval_datasets dynamic_replica tapvid_davis_first \
+--traj_per_sample 768 --sliding_window_len 8 \
+--save_every_n_epoch 10 --evaluate_every_n_epoch 10 --model_stride 4 --dataset_root ${DATASET_ROOT} --num_nodes 4 \
+--num_virtual_tracks 64"