forgetest5
/
PaddleOCR
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

fix infer bug

This commit is contained in:
LDOUBLEV 2021-06-09 09:42:41 +00:00
parent 7c6309db7a
commit a4fe159bc0
1 changed files with 12 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

23
test/infer.sh
View File

@ -45,10 +45,12 @@ IFS='|'
for train_model in ${train_model_list[*]}; do
if [ ${train_model} = "ocr_det" ];then
model_name="det"
yml_file="configs/det/det_mv3_db.yml"
yml_file="configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml"
wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/ch_det_data_50.tar
cd ./inference && tar xf ch_det_data_50.tar && cd ../
img_dir="./inference/ch_det_data_50/all-sum-50"
img_dir="./inference/ch_det_data_50/all-sum-510"
data_dir=./inference/ch_det_data_50/
data_label_file=[./inference/ch_det_data_50/test_gt_50.txt]
elif [ ${train_model} = "ocr_rec" ];then
model_name="rec"
yml_file="configs/rec/rec_mv3_none_bilstm_ctc.yml"
@ -102,9 +104,8 @@ for train_model in ${train_model_list[*]}; do
fi
save_log_path="${log_path}/${eval_model_name}"
eval_img="Eval.dataset.data_dir=./inference/ch_det_data_50/ Eval.dataset.label_file_list=./inference/ch_det_data_50/test_gt_50.txt"
command="${python} tools/eval.py -c ${yml_file} -o Global.pretrained_model='${eval_model_name}/best_accuracy' Global.save_model_dir=${save_log_path} ${eval_img}"
${python} tools/eval.py -c ${yml_file} -o Global.pretrained_model='./inference/${eval_model_name}/best_accuracy' Global.save_model_dir=${save_log_path} ${eval_img}
command="${python} tools/eval.py -c ${yml_file} -o Global.pretrained_model='./inference/${eval_model_name}/best_accuracy' Global.save_model_dir=${save_log_path} Eval.dataset.data_dir=${data_dir} Eval.dataset.label_file_list=${data_label_file}"
${python} tools/eval.py -c ${yml_file} -o Global.pretrained_model=./inference/${eval_model_name}/best_accuracy Global.save_model_dir=${save_log_path} Eval.dataset.data_dir=${data_dir} Eval.dataset.label_file_list=${data_label_file}
status_check $? "${trainer}" "${command}" "${status_log}"
command="${python} tools/export_model.py -c ${yml_file} -o Global.pretrained_model="${eval_model_name}/best_accuracy" Global.save_inference_dir=${log_path}/${eval_model_name}_infer Global.save_model_dir=${save_log_path}"
@ -120,11 +121,11 @@ for train_model in ${train_model_list[*]}; do
if [ "${model_name}" = "det" ]; then
export rec_batch_size_list=( "1" )
inference="tools/infer/predict_det.py"
det_model_dir="./inference/${log_path}/${eval_model_name}_infer"
det_model_dir="${log_path}/${eval_model_name}_infer"
rec_model_dir=""
elif [ "${model_name}" = "rec" ]; then
inference="tools/infer/predict_rec.py"
rec_model_dir="./inference/${log_path}/${eval_model_name}_infer"
rec_model_dir="${log_path}/${eval_model_name}_infer"
det_model_dir=""
fi
# inference
@ -140,8 +141,8 @@ for train_model in ${train_model_list[*]}; do
done
done
done
else
env="CUDA_VISIBLE_DEVICES=${infer_gpu_id}"
else
# env="export CUDA_VISIBLE_DEVICES=${infer_gpu_id}"
for use_trt in ${gpu_trt_list[*]}; do
for precision in ${gpu_precision_list[*]}; do
if [ ${use_trt} = "False" ] && [ ${precision} != "fp32" ]; then
@ -149,8 +150,8 @@ for train_model in ${train_model_list[*]}; do
fi
for rec_batch_size in ${rec_batch_size_list[*]}; do
save_log_path="${log_path}/${model_name}_${slim_trainer}_gpu_usetensorrt_${use_trt}_usefp16_${precision}_recbatchnum_${rec_batch_size}_infer.log"
command="${env} ${python} ${inference} --use_gpu=True --use_tensorrt=${use_trt} --precision=${precision} --benchmark=True --det_model_dir=${log_path}/${eval_model_name}_infer --rec_batch_num=${rec_batch_size} --rec_model_dir=${rec_model_dir} --image_dir=${img_dir} --save_log_path=${save_log_path}"
${env} ${python} ${inference} --use_gpu=True --use_tensorrt=${use_trt} --precision=${precision} --benchmark=True --det_model_dir=${log_path}/${eval_model_name}_infer --rec_batch_num=${rec_batch_size} --rec_model_dir=${rec_model_dir} --image_dir=${img_dir} --save_log_path=${save_log_path}
command="${python} ${inference} --use_gpu=True --use_tensorrt=${use_trt} --precision=${precision} --benchmark=True --det_model_dir=${log_path}/${eval_model_name}_infer --rec_batch_num=${rec_batch_size} --rec_model_dir=${rec_model_dir} --image_dir=${img_dir} --save_log_path=${save_log_path}"
${python} ${inference} --use_gpu=True --use_tensorrt=${use_trt} --precision=${precision} --benchmark=True --det_model_dir=${log_path}/${eval_model_name}_infer --rec_batch_num=${rec_batch_size} --rec_model_dir=${rec_model_dir} --image_dir=${img_dir} --save_log_path=${save_log_path}
status_check $? "${trainer}" "${command}" "${status_log}"
done
done