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!11297 Modify readme of deeptext and fix shell of train

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From: @zhouyaqiang0
Reviewed-by: @wuxuejian,@c_34
Signed-off-by: @c_34
pull/11297/MERGE
mindspore-ci-bot 4 years ago committed by Gitee
parent 01ea8266f5 d135cc98d1
commit 54e3203deb
3 changed files with 15 additions and 16 deletions
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19
model_zoo/official/cv/deeptext/README.md
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@ -41,7 +41,7 @@ Here we used 4 datasets for training, and 1 datasets for Evaluation.
- Train: 27.7MB, 410 images
- Dataset3: SCUT-FORU: Flickr OCR Universal Database
- Train: 388MB, 1715 images
- Dataset4: CocoText v2(Subset of MSCOCO2014):
- Dataset4: CocoText v2(Subset of MSCOCO2017):
- Train: 13GB, 63686 images
# [Features](#contents)
@ -100,9 +100,9 @@ Here we used 4 datasets for training, and 1 datasets for Evaluation.
# distribute training example(8p)
sh run_distribute_train_ascend.sh [IMGS_PATH] [ANNOS_PATH] [RANK_TABLE_FILE] [PRETRAINED_PATH] [COCO_TEXT_PARSER_PATH]
# standalone training
sh run_standalone_train_ascend.sh [IMGS_PATH] [ANNOS_PATH] [PRETRAINED_PATH] [COCO_TEXT_PARSER_PATH]
sh run_standalone_train_ascend.sh [IMGS_PATH] [ANNOS_PATH] [PRETRAINED_PATH] [COCO_TEXT_PARSER_PATH] [DEVICE_ID]
# evaluation:
sh run_eval_ascend.sh [IMGS_PATH] [ANNOS_PATH] [CHECKPOINT_PATH] [COCO_TEXT_PARSER_PATH]
sh run_eval_ascend.sh [IMGS_PATH] [ANNOS_PATH] [CHECKPOINT_PATH] [COCO_TEXT_PARSER_PATH] [DEVICE_ID]
```
> Notes:
@ -122,7 +122,7 @@ sh run_eval_ascend.sh [IMGS_PATH] [ANNOS_PATH] [CHECKPOINT_PATH] [COCO_TEXT_PARS
# distribute training example(8p)
sh run_distribute_train_ascend.sh [IMGS_PATH] [ANNOS_PATH] [RANK_TABLE_FILE] [PRETRAINED_PATH] [COCO_TEXT_PARSER_PATH]
# standalone training
sh run_standalone_train_ascend.sh [IMGS_PATH] [ANNOS_PATH] [PRETRAINED_PATH] [COCO_TEXT_PARSER_PATH]
sh run_standalone_train_ascend.sh [IMGS_PATH] [ANNOS_PATH] [PRETRAINED_PATH] [COCO_TEXT_PARSER_PATH] [DEVICE_ID]
```
### Result
@ -144,7 +144,7 @@ You can start training using python or shell scripts. The usage of shell scripts
- Ascend:
```bash
sh run_eval_ascend.sh [IMGS_PATH] [ANNOS_PATH] [CHECKPOINT_PATH] [COCO_TEXT_PARSER_PATH]
sh run_eval_ascend.sh [IMGS_PATH] [ANNOS_PATH] [CHECKPOINT_PATH] [COCO_TEXT_PARSER_PATH] [DEVICE_ID]
```
### Launch
@ -153,7 +153,7 @@ You can start training using python or shell scripts. The usage of shell scripts
# eval example
shell:
Ascend:
sh run_eval_ascend.sh [IMGS_PATH] [ANNOS_PATH] [CHECKPOINT_PATH] [COCO_TEXT_PARSER_PATH]
sh run_eval_ascend.sh [IMGS_PATH] [ANNOS_PATH] [CHECKPOINT_PATH] [COCO_TEXT_PARSER_PATH] [DEVICE_ID]
```
> checkpoint can be produced in training process.
@ -186,7 +186,6 @@ class 1 precision is 88.01%, recall is 82.77%
| Optimizer | Momentum |
| Loss Function | SoftmaxCrossEntropyWithLogits for classification, SmoothL2Loss for bbox regression|
| Loss | ~0.008 |
| Accuracy (8p) | precision=0.8854, recall=0.8024 |
| Total time (8p) | 4h |
| Scripts | [deeptext script](https://gitee.com/mindspore/mindspore/tree/r1.1/mindspore/official/cv/deeptext) |
@ -200,7 +199,7 @@ class 1 precision is 88.01%, recall is 82.77%
| MindSpore Version | 1.1.0 |
| Dataset | 229 images |
| Batch_size | 2 |
| Accuracy | precision=0.8854, recall=0.8024 |
| Accuracy | precision=0.8801, recall=0.8277 |
| Total time | 1 min |
| Model for inference | 3492M (.ckpt file) |
@ -208,11 +207,11 @@ class 1 precision is 88.01%, recall is 82.77%
| **Ascend** | train performance |
| :--------: | :---------------: |
| 1p | 42 img/s |
| 1p | 14 img/s |
| **Ascend** | train performance |
| :--------: | :---------------: |
| 8p | 330 img/s |
| 8p | 50 img/s |
# [Description of Random Situation](#contents)

6
model_zoo/official/cv/deeptext/scripts/run_eval_ascend.sh
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@ -14,9 +14,9 @@
# limitations under the License.
# ============================================================================
if [ $# != 4 ]
if [ $# != 5 ]
then
echo "Usage: sh run_eval_ascend.sh [IMGS_PATH] [ANNOS_PATH] [CHECKPOINT_PATH] [COCO_TEXT_PARSER_PATH]"
echo "Usage: sh run_eval_ascend.sh [IMGS_PATH] [ANNOS_PATH] [CHECKPOINT_PATH] [COCO_TEXT_PARSER_PATH] [DEVICE_ID]"
exit 1
fi
@ -52,7 +52,7 @@ fi
ulimit -u unlimited
export DEVICE_NUM=1
export RANK_SIZE=$DEVICE_NUM
export DEVICE_ID=0
export DEVICE_ID=$5
export RANK_ID=0
cp $PATH4 ../src/
if [ -d "eval" ];

6
model_zoo/official/cv/deeptext/scripts/run_standalone_train_ascend.sh
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@ -14,9 +14,9 @@
# limitations under the License.
# ============================================================================
if [ $# -ne 4 ]
if [ $# -ne 5 ]
then
echo "Usage: sh run_standalone_train_ascend.sh [IMGS_PATH] [ANNOS_PATH] [PRETRAINED_PATH] [COCO_TEXT_PARSER_PATH]"
echo "Usage: sh run_standalone_train_ascend.sh [IMGS_PATH] [ANNOS_PATH] [PRETRAINED_PATH] [COCO_TEXT_PARSER_PATH] [DEVICE_ID]"
exit 1
fi
@ -51,7 +51,7 @@ fi
ulimit -u unlimited
export DEVICE_NUM=1
export DEVICE_ID=0
export DEVICE_ID=$5
export RANK_ID=0
export RANK_SIZE=1
cp $PATH4 ../src/

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