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#!/bin/bash |
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export PATH="$HOME/anaconda3/envs/geneval/bin:$PATH" |
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geneval=true |
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np=8 |
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py=tools/metrics/geneval/evaluation/evaluate_images.py |
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default_sample_nums=533 |
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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="${arg#*=}" |
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shift |
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;; |
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--log_geneval=*) |
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log_geneval="${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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samples_per_gpu=$((sample_nums / np)) |
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log_suffix_label=${suffix_label:-$default_log_suffix_label} |
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log_geneval=${log_geneval:-true} |
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echo "sample_nums: $sample_nums" |
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echo "log_geneval: $log_geneval" |
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mask2former_path=output/pretrained_models/geneval |
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if [ ! -d "$mask2former_path" ]; then |
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echo "Model path does not exist. Running download_models.sh..." |
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bash tools/metrics/geneval/evaluation/download_models.sh $mask2former_path |
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fi |
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if [ "$geneval" = true ]; then |
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echo "==================== computing geneval ====================" |
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cmd_template="python $py --img_path {img_path} --exp_name {exp_name} \ |
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--model-path $mask2former_path \ |
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--report_to $report_to --name {job_name} " |
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if [[ "$exp_names" != *.txt ]]; then |
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exp_name=$(basename "$exp_names") |
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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 CUDA_VISIBLE_DEVICES=0 $cmd >> "${img_path}/${exp_name}_geneval_result.txt" 2>&1 |
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cat "${img_path}/${exp_name}_geneval_result.txt" |
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else |
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if [ ! -f "$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" ] && ! [[ $exp_name == \ |
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exp_name=$(basename "$exp_name") |
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cmd="${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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echo "Running on GPU $gpu_id: $cmd" |
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eval CUDA_VISIBLE_DEVICES=$gpu_id $cmd >> "${img_path}/${exp_name}_geneval_result.txt" 2>&1 & |
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gpu_id=$(( (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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while IFS= read -r exp_name; do |
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if [ -n "$exp_name" ] && ! [[ $exp_name == \ |
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cat "${img_path}/${exp_name}_geneval_result.txt" |
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fi |
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done < "$exp_names" |
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fi |
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fi |
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if [ "$log_geneval" = true ] && [ "$geneval" = true ]; then |
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echo "==================== logging onto $report_to ====================" |
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cmd_template="python $py --img_path {img_path} --exp_name {exp_name} \ |
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--model-path $mask2former_path \ |
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--report_to $report_to --name {job_name} " |
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if [ -n "${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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exp_name=$(basename "$exp_names") |
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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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echo $cmd |
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eval $cmd --log_geneval |
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else |
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while IFS= read -r exp_name; do |
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if [ -n "$exp_name" ] && ! [[ $exp_name == \ |
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exp_name=$(basename "$exp_name") |
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cmd="${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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eval $cmd --log_geneval |
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fi |
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done < "$exp_names" |
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wait |
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fi |
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fi |
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export PATH="$HOME/anaconda3/envs/sana/bin:$PATH" |
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echo GenEval finally done |
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