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wangsen
paddle_dbnet
Commits
b5aa9bde
Commit
b5aa9bde
authored
Jun 09, 2021
by
LDOUBLEV
Browse files
delete env
parent
a4fe159b
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test/test.sh
test/test.sh
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test/test.sh
View file @
b5aa9bde
...
...
@@ -134,12 +134,12 @@ for train_model in ${train_model_list[*]}; do
pretrain
=
"./pretrain_models/MobileNetV3_large_x0_5_pretrained"
fi
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
command
=
"
${
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"
${
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
}
"
"
${
status_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
}
command
=
"
${
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
}
"
${
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
}
"
"
${
status_log
}
"
if
[
"
${
model_name
}
"
=
"det"
]
;
then
...
...
@@ -173,8 +173,8 @@ 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=
${
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
}
command
=
"
${
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
}
"
${
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
}
"
"
${
status_log
}
"
done
done
...
...
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