#!/bin/bash # ===================== hyper ================= clip_score=true py=tools/metrics/clip-score/clip_score.py default_sample_nums=30000 # 10000, 30000 report_to=wandb default_log_suffix_label='' # parser img_path=$1 exp_names=$2 job_name=$(basename $(dirname "$img_path")) #job_name=online_monitor_debug for arg in "$@" do case $arg in --sample_nums=*) sample_nums="${arg#*=}" shift ;; --suffix_label=*) suffix_label="${arg#*=}" shift ;; --log_clip_score=*) log_clip_score="${arg#*=}" shift ;; --tracker_pattern=*) tracker_pattern="${arg#*=}" shift ;; *) ;; esac done sample_nums=${sample_nums:-$default_sample_nums} tracker_pattern=${tracker_pattern:-"epoch_step"} log_suffix_label=${suffix_label:-$default_log_suffix_label} log_clip_score=${log_clip_score:-true} echo "sample_nums: $sample_nums" echo "log_clip_score: $log_clip_score" echo "tracker_pattern: $tracker_pattern" IMG_PATH="data/test/PG-eval-data/MJHQ-30K/meta_data.json" TXT_PATH="data/test/PG-eval-data/MJHQ-30K/meta_data.json" #CUDA_VISIBLE_DEVICES=0 python --real_path $IMG_PATH --fake_path $TXT_PATH if [ "$clip_score" = true ]; then # =============== compute clip-score from two jsons ================== echo "==================== computing clip-score ====================" cmd_template="python $py --real_path $IMG_PATH --fake_path $TXT_PATH \ --exp_name {exp_name} --txt_path {img_path} --img_path {img_path} --sample_nums $sample_nums \ --report_to $report_to --name {job_name} --gpu_id {gpu_id} --tracker_pattern $tracker_pattern" if [[ "$exp_names" != *.txt ]]; then cmd="${cmd_template//\{img_path\}/$img_path}" cmd="${cmd//\{exp_name\}/$exp_names}" cmd="${cmd//\{job_name\}/$job_name}" cmd="${cmd//\{gpu_id\}/0}" eval CUDA_VISIBLE_DEVICES=0 $cmd else if [ ! -f "$exp_names" ]; then echo "Model paths file not found: $exp_names" exit 1 fi gpu_id=0 max_parallel_jobs=8 job_count=0 echo "" >> "$exp_names" # add a new line to the file avoid skipping last line dir while IFS= read -r exp_name; do echo $exp_name if [ -n "$exp_name" ] && ! [[ $exp_name == \#* ]]; then cmd="${cmd_template//\{img_path\}/$img_path}" cmd="${cmd//\{exp_name\}/$exp_name}" cmd="${cmd//\{job_name\}/$job_name}" cmd="${cmd//\{gpu_id\}/$gpu_id}" echo "Running on GPU $gpu_id: $cmd" eval CUDA_VISIBLE_DEVICES=$gpu_id $cmd & gpu_id=$(( (gpu_id + 1) % 8 )) job_count=$((job_count + 1)) if [ $job_count -ge $max_parallel_jobs ]; then wait job_count=0 fi fi done < "$exp_names" wait fi fi # =============== log clip-score result online after the above result saving ================== if [ "$log_clip_score" = true ] && [ "$clip_score" = true ]; then echo "==================== logging onto $report_to ====================" if [ -n "${log_suffix_label}" ]; then echo "log_suffix_label: $log_suffix_label" cmd_template="${cmd_template} --suffix_label ${log_suffix_label}" fi if [[ "$exp_names" != *.txt ]]; then cmd="${cmd_template//\{img_path\}/$img_path}" cmd="${cmd//\{exp_name\}/$exp_names}" cmd="${cmd//\{job_name\}/$job_name}" cmd="${cmd//\{gpu_id\}/0}" echo $cmd eval $cmd --log_clip_score else while IFS= read -r exp_name; do if [ -n "$exp_name" ] && ! [[ $exp_name == \#* ]]; then cmd="${cmd_template//\{img_path\}/$img_path}" cmd="${cmd//\{exp_name\}/$exp_name}" cmd="${cmd//\{job_name\}/$job_name}" cmd="${cmd//\{gpu_id\}/0}" eval $cmd --log_clip_score fi done < "$exp_names" wait fi fi echo clip-score finally done