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wangsen
paddle_dbnet
Commits
9372741a
Commit
9372741a
authored
Jun 09, 2021
by
LDOUBLEV
Browse files
return status to log_path/results.log
parent
90454c76
Changes
2
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2 changed files
with
11 additions
and
9 deletions
+11
-9
test/infer.sh
test/infer.sh
+5
-4
test/test.sh
test/test.sh
+6
-5
No files found.
test/infer.sh
View file @
9372741a
...
...
@@ -27,6 +27,7 @@ gpu_precision_list=$(func_parser "${lines[11]}")
infer_gpu_id
=
$(
func_parser
"
${
lines
[12]
}
"
)
log_path
=
$(
func_parser
"
${
lines
[13]
}
"
)
status_log
=
"
${
log_path
}
/result.log"
function
status_check
(){
...
...
@@ -103,11 +104,11 @@ for train_model in ${train_model_list[*]}; do
save_log_path
=
"
${
log_path
}
/
${
eval_model_name
}
"
command
=
"
${
python
}
tools/eval.py -c
${
yml_file
}
-o Global.pretrained_model="
${
eval_model_name
}
/best_accuracy
" Global.save_model_dir=
${
save_log_path
}
"
${
python
}
tools/eval.py
-c
${
yml_file
}
-o
Global.pretrained_model
=
"
${
eval_model_name
}
/best_accuracy"
Global.save_model_dir
=
${
save_log_path
}
status_check
$?
"
${
trainer
}
"
"
${
command
}
"
"
${
s
ave_log_path
}
/train.log
"
status_check
$?
"
${
trainer
}
"
"
${
command
}
"
"
${
s
tatus_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
}
"
${
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
}
status_check
$?
"
${
trainer
}
"
"
${
command
}
"
"
${
s
ave_log_path
}
/train.log
"
status_check
$?
"
${
trainer
}
"
"
${
command
}
"
"
${
s
tatus_log
}
"
if
[
$?
-eq
0
]
;
then
echo
-e
"
\0
33[33m training of
$model_name
successfully!
\0
33[0m"
|
tee
-a
${
save_log
}
/train.log
...
...
@@ -134,7 +135,7 @@ for train_model in ${train_model_list[*]}; do
save_log_path
=
"
${
log_path
}
/
${
model_name
}
_
${
slim_trainer
}
_cpu_usemkldnn_
${
use_mkldnn
}
_cputhreads_
${
threads
}
_recbatchnum_
${
rec_batch_size
}
_infer.log"
command
=
"
${
python
}
${
inference
}
--enable_mkldnn=
${
use_mkldnn
}
--use_gpu=False --cpu_threads=
${
threads
}
--benchmark=True --det_model_dir=
${
det_model_dir
}
--rec_batch_num=
${
rec_batch_size
}
--rec_model_dir=
${
rec_model_dir
}
--image_dir=
${
img_dir
}
--save_log_path=
${
save_log_path
}
"
${
python
}
${
inference
}
--enable_mkldnn
=
${
use_mkldnn
}
--use_gpu
=
False
--cpu_threads
=
${
threads
}
--benchmark
=
True
--det_model_dir
=
${
det_model_dir
}
--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
}
"
"
${
s
ave_log_path
}
"
status_check
$?
"
${
trainer
}
"
"
${
command
}
"
"
${
s
tatus_log
}
"
done
done
done
...
...
@@ -149,7 +150,7 @@ for train_model in ${train_model_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
}
status_check
$?
"
${
trainer
}
"
"
${
command
}
"
"
${
s
ave_log_path
}
"
status_check
$?
"
${
trainer
}
"
"
${
command
}
"
"
${
s
tatus_log
}
"
done
done
done
...
...
test/test.sh
View file @
9372741a
#!/bin/bash
# Usage:
# bash test/test.sh ./test/params.txt 'lite_train_infer'
# bash test/test.sh ./test/
paddleocr_ci_
params.txt 'lite_train_infer'
FILENAME
=
$1
...
...
@@ -67,6 +67,7 @@ gpu_trt_list=$(func_parser "${lines[10]}")
gpu_precision_list
=
$(
func_parser
"
${
lines
[11]
}
"
)
log_path
=
$(
func_parser
"
${
lines
[13]
}
"
)
status_log
=
"
${
log_path
}
/result.log"
function
status_check
(){
last_status
=
$1
# the exit code
...
...
@@ -135,11 +136,11 @@ for train_model in ${train_model_list[*]}; do
save_log
=
"
${
log_path
}
/
${
model_name
}
_
${
slim_trainer
}
_autocast_
${
auto_cast
}
_gpuid_
${
gpu
}
"
command
=
"
${
env
}
${
python
}
${
launch
}
${
trainer
}
-c
${
yml_file
}
-o Global.epoch_num=
${
epoch
}
Global.eval_batch_step=
${
eval_batch_step
}
Global.auto_cast=
${
auto_cast
}
Global.pretrained_model=
${
pretrain
}
Global.save_model_dir=
${
save_log
}
Global.use_gpu=
${
use_gpu
}
Train.loader.batch_size_per_card=2"
${
env
}
${
python
}
${
launch
}
${
trainer
}
-c
${
yml_file
}
-o
Global.epoch_num
=
${
epoch
}
Global.eval_batch_step
=
${
eval_batch_step
}
Global.auto_cast
=
${
auto_cast
}
Global.pretrained_model
=
${
pretrain
}
Global.save_model_dir
=
${
save_log
}
Global.use_gpu
=
${
use_gpu
}
Train.loader.batch_size_per_card
=
2
status_check
$?
"
${
trainer
}
"
"
${
command
}
"
"
${
s
ave_log
}
/train.log
"
status_check
$?
"
${
trainer
}
"
"
${
command
}
"
"
${
s
tatus_log
}
"
command
=
"
${
env
}
${
python
}
${
export_model
}
-c
${
yml_file
}
-o Global.pretrained_model=
${
save_log
}
/latest Global.save_inference_dir=
${
save_log
}
/export_inference/ Global.save_model_dir=
${
save_log
}
"
${
env
}
${
python
}
${
export_model
}
-c
${
yml_file
}
-o
Global.pretrained_model
=
${
save_log
}
/latest Global.save_inference_dir
=
${
save_log
}
/export_inference/ Global.save_model_dir
=
${
save_log
}
status_check
$?
"
${
trainer
}
"
"
${
command
}
"
"
${
s
ave_log
}
/train.log
"
status_check
$?
"
${
trainer
}
"
"
${
command
}
"
"
${
s
tatus_log
}
"
if
[
"
${
model_name
}
"
=
"det"
]
;
then
export
rec_batch_size_list
=(
"1"
)
...
...
@@ -160,7 +161,7 @@ for train_model in ${train_model_list[*]}; do
save_log_path
=
"
${
log_path
}
/
${
model_name
}
_
${
slim_trainer
}
_cpu_usemkldnn_
${
use_mkldnn
}
_cputhreads_
${
threads
}
_recbatchnum_
${
rec_batch_size
}
_infer.log"
command
=
"
${
python
}
${
inference
}
--enable_mkldnn=
${
use_mkldnn
}
--use_gpu=False --cpu_threads=
${
threads
}
--benchmark=True --det_model_dir=
${
save_log
}
/export_inference/ --rec_batch_num=
${
rec_batch_size
}
--rec_model_dir=
${
rec_model_dir
}
--image_dir=
${
img_dir
}
--save_log_path=
${
save_log_path
}
"
${
python
}
${
inference
}
--enable_mkldnn
=
${
use_mkldnn
}
--use_gpu
=
False
--cpu_threads
=
${
threads
}
--benchmark
=
True
--det_model_dir
=
${
save_log
}
/export_inference/
--rec_batch_num
=
${
rec_batch_size
}
--rec_model_dir
=
${
rec_model_dir
}
--image_dir
=
${
img_dir
}
--save_log_path
=
${
save_log_path
}
status_check
$?
"
${
inference
}
"
"
${
command
}
"
"
${
s
ave
_log
}
"
status_check
$?
"
${
inference
}
"
"
${
command
}
"
"
${
s
tatus
_log
}
"
done
done
done
...
...
@@ -174,7 +175,7 @@ for train_model in ${train_model_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=
${
save_log
}
/export_inference/ --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
=
${
save_log
}
/export_inference/
--rec_batch_num
=
${
rec_batch_size
}
--rec_model_dir
=
${
rec_model_dir
}
--image_dir
=
${
img_dir
}
--save_log_path
=
${
save_log_path
}
status_check
$?
"
${
inference
}
"
"
${
command
}
"
"
${
s
ave
_log
}
"
status_check
$?
"
${
inference
}
"
"
${
command
}
"
"
${
s
tatus
_log
}
"
done
done
done
...
...
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