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