run_demo.sh

#!/bin/bash

# command input (video file)
VIDEO_PATH=$1
GPUS=0

VIDEO_FILENAME="${VIDEO_PATH##*/}"  # ./demo/000007.mp4
DIR="${VIDEO_PATH%/*}"  # ./demo
VID="${VIDEO_FILENAME%.*}"  # 000007

FEAT_FILE="$DIR/$VID"_feature.npz
RESULT_FILE="$DIR/$VID"_result.npz
VIS_FILE="$DIR/$VID"_vis.avi

if [ ! -f "$RESULT_FILE" ]; then
    if [ ! -f "$FEAT_FILE" ]; then
        # feature extraction task
        echo "Run feature extraction..."
        source activate mmlab
        CUDA_VISIBLE_DEVICES=$GPUS python demo.py \
            --video_file $VIDEO_PATH \
            --task extract_feature \
            --gpu_id $GPUS \
            --mmdetection lib/mmdetection
        # exit current virtual environment
        conda deactivate
        echo "Saved in: $FEAT_FILE"
    fi
    # run inference
    echo "Run accident inference..."
    source activate py37
    CUDA_VISIBLE_DEVICES=$GPUS python demo.py \
        --task inference \
        --feature_file $FEAT_FILE \
        --ckpt_file demo/final_model_ccd.pth \
        --gpu_id $GPUS
    conda deactivate
    echo "Saved in: $RESULT_FILE"
fi
# visualize
echo "Run result visualization..."
source activate py37
CUDA_VISIBLE_DEVICES=$GPUS python demo.py \
    --task visualize \
    --video_file $VIDEO_PATH \
    --result_file $RESULT_FILE \
    --vis_file $VIS_FILE
conda deactivate
echo "Saved in: $VIS_FILE"