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7bd93832
编写于
12月 19, 2020
作者:
D
dyning
提交者:
GitHub
12月 19, 2020
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Merge pull request #1517 from WenmuZhou/tree_doc
update inference doc
上级
99175c61
b615f670
变更
8
隐藏空白更改
内联
并排
Showing
8 changed file
with
34 addition
and
22 deletion
+34
-22
doc/doc_ch/angle_class.md
doc/doc_ch/angle_class.md
+1
-1
doc/doc_ch/detection.md
doc/doc_ch/detection.md
+3
-3
doc/doc_ch/inference.md
doc/doc_ch/inference.md
+8
-3
doc/doc_ch/recognition.md
doc/doc_ch/recognition.md
+2
-3
doc/doc_en/angle_class_en.md
doc/doc_en/angle_class_en.md
+1
-1
doc/doc_en/detection_en.md
doc/doc_en/detection_en.md
+3
-3
doc/doc_en/inference_en.md
doc/doc_en/inference_en.md
+12
-4
doc/doc_en/recognition_en.md
doc/doc_en/recognition_en.md
+4
-4
未找到文件。
doc/doc_ch/angle_class.md
浏览文件 @
7bd93832
...
...
@@ -117,7 +117,7 @@ python3 tools/eval.py -c configs/cls/cls_mv3.yml -o Global.checkpoints={path/to/
```
# 预测分类结果
python3 tools/infer_cls.py -c configs/cls/cls_mv3.yml -o Global.
checkpoints={path/to/weights}/best_accuracy
Global.infer_img=doc/imgs_words/ch/word_1.jpg
python3 tools/infer_cls.py -c configs/cls/cls_mv3.yml -o Global.
pretrained_model={path/to/weights}/best_accuracy Global.load_static_weights=false
Global.infer_img=doc/imgs_words/ch/word_1.jpg
```
预测图片:
...
...
doc/doc_ch/detection.md
浏览文件 @
7bd93832
...
...
@@ -120,16 +120,16 @@ python3 tools/eval.py -c configs/det/det_mv3_db.yml -o Global.checkpoints="{pat
测试单张图像的检测效果
```
shell
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/img_10.jpg"
Global.
checkpoints
=
"./output/det_db/best_accuracy"
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/img_10.jpg"
Global.
pretrained_model
=
"./output/det_db/best_accuracy"
Global.load_static_weights
=
false
```
测试DB模型时,调整后处理阈值,
```
shell
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/img_10.jpg"
Global.
checkpoints
=
"./output/det_db/best_accuracy"
PostProcess.box_thresh
=
0.6 PostProcess.unclip_ratio
=
1.5
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/img_10.jpg"
Global.
pretrained_model
=
"./output/det_db/best_accuracy"
Global.load_static_weights
=
false
PostProcess.box_thresh
=
0.6 PostProcess.unclip_ratio
=
1.5
```
测试文件夹下所有图像的检测效果
```
shell
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/"
Global.
checkpoints
=
"./output/det_db/best_accuracy"
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/"
Global.
pretrained_model
=
"./output/det_db/best_accuracy"
Global.load_static_weights
=
false
```
doc/doc_ch/inference.md
浏览文件 @
7bd93832
...
...
@@ -245,7 +245,10 @@ python3 tools/infer/predict_det.py --det_algorithm="SAST" --image_dir="./doc/img
超轻量中文识别模型推理,可以执行如下命令:
```
python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/ch/word_4.jpg" --rec_model_dir="./inference/rec_crnn/"
# 下载超轻量中文识别模型:
wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar
tar xf ch_ppocr_mobile_v2.0_rec_infer.tar
python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/ch/word_4.jpg" --rec_model_dir="ch_ppocr_mobile_v2.0_rec_infer"
```
![](
../imgs_words/ch/word_4.jpg
)
...
...
@@ -266,7 +269,6 @@ Predicts of ./doc/imgs_words/ch/word_4.jpg:('实力活力', 0.98458153)
```
python3 tools/export_model.py -c configs/rec/rec_r34_vd_none_bilstm_ctc.yml -o Global.pretrained_model=./rec_r34_vd_none_bilstm_ctc_v2.0_train/best_accuracy Global.load_static_weights=False Global.save_inference_dir=./inference/rec_crnn
```
CRNN 文本识别模型推理,可以执行如下命令:
...
...
@@ -327,7 +329,10 @@ Predicts of ./doc/imgs_words/korean/1.jpg:('바탕으로', 0.9948904)
方向分类模型推理,可以执行如下命令:
```
python3 tools/infer/predict_cls.py --image_dir="./doc/imgs_words/ch/word_4.jpg" --cls_model_dir="./inference/cls/"
# 下载超轻量中文方向分类器模型:
wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar
tar xf ch_ppocr_mobile_v2.0_cls_infer.tar
python3 tools/infer/predict_cls.py --image_dir="./doc/imgs_words/ch/word_4.jpg" --cls_model_dir="ch_ppocr_mobile_v2.0_cls_infer"
```
![](
../imgs_words/ch/word_1.jpg
)
...
...
doc/doc_ch/recognition.md
浏览文件 @
7bd93832
...
...
@@ -324,7 +324,6 @@ Eval:
评估数据集可以通过
`configs/rec/rec_icdar15_train.yml`
修改Eval中的
`label_file_path`
设置。
*注意*
评估时必须确保配置文件中 infer_img 字段为空
```
# GPU 评估, Global.checkpoints 为待测权重
python3 -m paddle.distributed.launch --gpus '0' tools/eval.py -c configs/rec/rec_icdar15_train.yml -o Global.checkpoints={path/to/weights}/best_accuracy
...
...
@@ -342,7 +341,7 @@ python3 -m paddle.distributed.launch --gpus '0' tools/eval.py -c configs/rec/rec
```
# 预测英文结果
python3 tools/infer_rec.py -c configs/rec/rec_icdar15_train.yml -o Global.
checkpoints={path/to/weights}/best_accuracy
Global.infer_img=doc/imgs_words/en/word_1.png
python3 tools/infer_rec.py -c configs/rec/rec_icdar15_train.yml -o Global.
pretrained_model={path/to/weights}/best_accuracy Global.load_static_weights=false
Global.infer_img=doc/imgs_words/en/word_1.png
```
预测图片:
...
...
@@ -361,7 +360,7 @@ infer_img: doc/imgs_words/en/word_1.png
```
# 预测中文结果
python3 tools/infer_rec.py -c configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml -o Global.
checkpoints={path/to/weights}/best_accuracy
Global.infer_img=doc/imgs_words/ch/word_1.jpg
python3 tools/infer_rec.py -c configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml -o Global.
pretrained_model={path/to/weights}/best_accuracy Global.load_static_weights=false
Global.infer_img=doc/imgs_words/ch/word_1.jpg
```
预测图片:
...
...
doc/doc_en/angle_class_en.md
浏览文件 @
7bd93832
...
...
@@ -119,7 +119,7 @@ Use `Global.infer_img` to specify the path of the predicted picture or folder, a
```
# Predict English results
python3 tools/infer_cls.py -c configs/cls/cls_mv3.yml -o Global.
checkpoints={path/to/weights}/best_accuracy
Global.infer_img=doc/imgs_words_en/word_10.png
python3 tools/infer_cls.py -c configs/cls/cls_mv3.yml -o Global.
pretrained_model={path/to/weights}/best_accuracy Global.load_static_weights=false
Global.infer_img=doc/imgs_words_en/word_10.png
```
Input image:
...
...
doc/doc_en/detection_en.md
浏览文件 @
7bd93832
...
...
@@ -113,16 +113,16 @@ python3 tools/eval.py -c configs/det/det_mv3_db.yml -o Global.checkpoints="{pat
Test the detection result on a single image:
```
shell
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/img_10.jpg"
Global.
checkpoints
=
"./output/det_db/best_accuracy"
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/img_10.jpg"
Global.
pretrained_model
=
"./output/det_db/best_accuracy"
Global.load_static_weights
=
false
```
When testing the DB model, adjust the post-processing threshold:
```
shell
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/img_10.jpg"
Global.
checkpoints
=
"./output/det_db/best_accuracy"
PostProcess.box_thresh
=
0.6 PostProcess.unclip_ratio
=
1.5
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/img_10.jpg"
Global.
pretrained_model
=
"./output/det_db/best_accuracy"
Global.load_static_weights
=
false
PostProcess.box_thresh
=
0.6 PostProcess.unclip_ratio
=
1.5
```
Test the detection result on all images in the folder:
```
shell
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/"
Global.
checkpoints
=
"./output/det_db/best_accuracy"
python3 tools/infer_det.py
-c
configs/det/det_mv3_db.yml
-o
Global.infer_img
=
"./doc/imgs_en/"
Global.
pretrained_model
=
"./output/det_db/best_accuracy"
Global.load_static_weights
=
false
```
doc/doc_en/inference_en.md
浏览文件 @
7bd93832
...
...
@@ -255,15 +255,18 @@ The following will introduce the lightweight Chinese recognition model inference
For lightweight Chinese recognition model inference, you can execute the following commands:
```
python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/ch/word_4.jpg" --rec_model_dir="./inference/rec_crnn/"
# download CRNN text recognition inference model
wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar
tar xf ch_ppocr_mobile_v2.0_rec_infer.tar
python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_10.png" --rec_model_dir="ch_ppocr_mobile_v2.0_rec_infer"
```
![](
../imgs_words
/ch/word_4.jp
g
)
![](
../imgs_words
_en/word_10.pn
g
)
After executing the command, the prediction results (recognized text and score) of the above image will be printed on the screen.
```
bash
Predicts of ./doc/imgs_words
/ch/word_4.jpg:
(
'实力活力'
, 0.98458153
)
Predicts of ./doc/imgs_words
_en/word_10.png:
(
'PAIN'
, 0.9897658
)
```
<a
name=
"CTC-BASED_RECOGNITION"
></a>
...
...
@@ -339,7 +342,12 @@ For angle classification model inference, you can execute the following commands
```
python3 tools/infer/predict_cls.py --image_dir="./doc/imgs_words_en/word_10.png" --cls_model_dir="./inference/cls/"
```
```
# download text angle class inference model:
wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar
tar xf ch_ppocr_mobile_v2.0_cls_infer.tar
python3 tools/infer/predict_cls.py --image_dir="./doc/imgs_words_en/word_10.png" --cls_model_dir="ch_ppocr_mobile_v2.0_cls_infer"
```
![](
../imgs_words_en/word_10.png
)
After executing the command, the prediction results (classification angle and score) of the above image will be printed on the screen.
...
...
doc/doc_en/recognition_en.md
浏览文件 @
7bd93832
...
...
@@ -317,11 +317,11 @@ Eval:
<a
name=
"EVALUATION"
></a>
### EVALUATION
The evaluation data
set can be modified via
`configs/rec/rec_icdar15_reader.yml`
setting of
`label_file_path`
in EvalReader
.
The evaluation data
set can be set by modifying the
`Eval.dataset.label_file_list`
field in the
`configs/rec/rec_icdar15_train.yml`
file
.
```
# GPU evaluation, Global.checkpoints is the weight to be tested
python3 -m paddle.distributed.launch --gpus '0' tools/eval.py -c configs/rec/rec_icdar15_
reader
.yml -o Global.checkpoints={path/to/weights}/best_accuracy
python3 -m paddle.distributed.launch --gpus '0' tools/eval.py -c configs/rec/rec_icdar15_
train
.yml -o Global.checkpoints={path/to/weights}/best_accuracy
```
<a
name=
"PREDICTION"
></a>
...
...
@@ -336,7 +336,7 @@ The default prediction picture is stored in `infer_img`, and the weight is speci
```
# Predict English results
python3 tools/infer_rec.py -c configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml -o Global.
checkpoints={path/to/weights}/best_accuracy TestReader
.infer_img=doc/imgs_words/en/word_1.jpg
python3 tools/infer_rec.py -c configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml -o Global.
pretrained_model={path/to/weights}/best_accuracy Global.load_static_weights=false Global
.infer_img=doc/imgs_words/en/word_1.jpg
```
Input image:
...
...
@@ -354,7 +354,7 @@ The configuration file used for prediction must be consistent with the training.
```
# Predict Chinese results
python3 tools/infer_rec.py -c configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml -o Global.
checkpoints={path/to/weights}/best_accuracy TestReader
.infer_img=doc/imgs_words/ch/word_1.jpg
python3 tools/infer_rec.py -c configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml -o Global.
pretrained_model={path/to/weights}/best_accuracy Global.load_static_weights=false Global
.infer_img=doc/imgs_words/ch/word_1.jpg
```
Input image:
...
...
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