未验证 提交 ff39b082 编写于 作者: A andyjpaddle 提交者: GitHub

Merge pull request #6434 from andyjpaddle/update_doc

update doc for quickstart
......@@ -208,7 +208,7 @@ Execute the built executable file:
./build/ppocr [--param1] [--param2] [...]
```
**Note**:ppocr uses the `PP-OCRv3` model by default, and the input shape used by the recognition model is `3, 48, 320`, so if you use the recognition function, you need to add the parameter `--rec_img_h=48`, if you do not use the default `PP-OCRv3` model, you do not need to set this parameter.
**Note**:ppocr uses the `PP-OCRv3` model by default, and the input shape used by the recognition model is `3, 48, 320`, if you want to use the old version model, you should add the parameter `--rec_img_h=32`.
Specifically,
......@@ -222,7 +222,6 @@ Specifically,
--det=true \
--rec=true \
--cls=true \
--rec_img_h=48\
```
##### 2. det+rec:
......@@ -234,7 +233,6 @@ Specifically,
--det=true \
--rec=true \
--cls=false \
--rec_img_h=48\
```
##### 3. det
......@@ -254,7 +252,6 @@ Specifically,
--det=false \
--rec=true \
--cls=true \
--rec_img_h=48\
```
##### 5. rec
......@@ -265,7 +262,6 @@ Specifically,
--det=false \
--rec=true \
--cls=false \
--rec_img_h=48\
```
##### 6. cls
......@@ -330,7 +326,7 @@ More parameters are as follows,
|rec_model_dir|string|-|Address of recognition inference model|
|rec_char_dict_path|string|../../ppocr/utils/ppocr_keys_v1.txt|dictionary file|
|rec_batch_num|int|6|batch size of recognition|
|rec_img_h|int|32|image height of recognition|
|rec_img_h|int|48|image height of recognition|
|rec_img_w|int|320|image width of recognition|
* Multi-language inference is also supported in PaddleOCR, you can refer to [recognition tutorial](../../doc/doc_en/recognition_en.md) for more supported languages and models in PaddleOCR. Specifically, if you want to infer using multi-language models, you just need to modify values of `rec_char_dict_path` and `rec_model_dir`.
......
......@@ -213,7 +213,7 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
本demo支持系统串联调用,也支持单个功能的调用,如,只使用检测或识别功能。
**注意** ppocr默认使用`PP-OCRv3`模型,识别模型使用的输入shape为`3,48,320`, 因此如果使用识别功能,需要添加参数`--rec_img_h=48`,如果不使用默认的`PP-OCRv3`模型,则无需设置该参数
**注意** ppocr默认使用`PP-OCRv3`模型,识别模型使用的输入shape为`3,48,320`, 如需使用旧版本的PP-OCR模型,则需要设置参数`--rec_img_h=32`
运行方式:
......@@ -232,7 +232,6 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
--det=true \
--rec=true \
--cls=true \
--rec_img_h=48\
```
##### 2. 检测+识别:
......@@ -244,7 +243,6 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
--det=true \
--rec=true \
--cls=false \
--rec_img_h=48\
```
##### 3. 检测:
......@@ -264,7 +262,6 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
--det=false \
--rec=true \
--cls=true \
--rec_img_h=48\
```
##### 5. 识别:
......@@ -275,7 +272,6 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
--det=false \
--rec=true \
--cls=false \
--rec_img_h=48\
```
##### 6. 分类:
......@@ -339,7 +335,7 @@ CUDNN_LIB_DIR=/your_cudnn_lib_dir
|rec_model_dir|string|-|识别模型inference model地址|
|rec_char_dict_path|string|../../ppocr/utils/ppocr_keys_v1.txt|字典文件|
|rec_batch_num|int|6|识别模型batchsize|
|rec_img_h|int|32|识别模型输入图像高度|
|rec_img_h|int|48|识别模型输入图像高度|
|rec_img_w|int|320|识别模型输入图像宽度|
......
......@@ -47,7 +47,7 @@ DEFINE_string(rec_model_dir, "", "Path of rec inference model.");
DEFINE_int32(rec_batch_num, 6, "rec_batch_num.");
DEFINE_string(rec_char_dict_path, "../../ppocr/utils/ppocr_keys_v1.txt",
"Path of dictionary.");
DEFINE_int32(rec_img_h, 32, "rec image height");
DEFINE_int32(rec_img_h, 48, "rec image height");
DEFINE_int32(rec_img_w, 320, "rec image width");
// ocr forward related
......
......@@ -132,7 +132,9 @@ void CRNNRecognizer::LoadModel(const std::string &model_dir) {
paddle_infer::Config config;
config.SetModel(model_dir + "/inference.pdmodel",
model_dir + "/inference.pdiparams");
std::cout << "In PP-OCRv3, default rec_img_h is 48,"
<< "if you use other model, you should set the param rec_img_h=32"
<< std::endl;
if (this->use_gpu_) {
config.EnableUseGpu(this->gpu_mem_, this->gpu_id_);
if (this->use_tensorrt_) {
......
......@@ -101,8 +101,17 @@ cd /path/to/ppocr_img
['韩国小馆', 0.994467]
```
**版本说明**
paddleocr默认使用PP-OCRv3模型(`--ocr_version PP-OCRv3`),如需使用其他版本可通过设置参数`--ocr_version`,具体版本说明如下:
| 版本名称 | 版本说明 |
| --- | --- |
| PP-OCRv3 | 支持中、英文检测和识别,方向分类器,支持多语种识别 |
| PP-OCRv2 | 支持中英文的检测和识别,方向分类器,多语言暂未更新 |
| PP-OCR | 支持中、英文检测和识别,方向分类器,支持多语种识别 |
如需使用2.0模型,请指定参数`--ocr_version PP-OCR`,paddleocr默认使用PP-OCRv3模型(`--ocr_version PP-OCRv3`)。更多whl包使用可参考[whl包文档](./whl.md)
如需新增自己训练的模型,可以在[paddleocr](../../paddleocr.py)中增加模型链接和字段,重新编译即可。
更多whl包使用可参考[whl包文档](./whl.md)
<a name="212"></a>
......
......@@ -119,7 +119,18 @@ If you do not use the provided test image, you can replace the following `--imag
['PAIN', 0.9934559464454651]
```
If you need to use the 2.0 model, please specify the parameter `--ocr_version PP-OCR`, paddleocr uses the PP-OCRv3 model by default(`--ocr_version PP-OCRv3`). More whl package usage can be found in [whl package](./whl_en.md)
**Version**
paddleocr uses the PP-OCRv3 model by default(`--ocr_version PP-OCRv3`). If you want to use other versions, you can set the parameter `--ocr_version`, the specific version description is as follows:
| version name | description |
| --- | --- |
| PP-OCRv3 | support Chinese and English detection and recognition, direction classifier, support multilingual recognition |
| PP-OCRv2 | only supports Chinese and English detection and recognition, direction classifier, multilingual model is not updated |
| PP-OCR | support Chinese and English detection and recognition, direction classifier, support multilingual recognition |
If you want to add your own trained model, you can add model links and keys in [paddleocr](../../paddleocr.py) and recompile.
More whl package usage can be found in [whl package](./whl_en.md)
<a name="212-multi-language-model"></a>
#### 2.1.2 Multi-language Model
......
......@@ -154,7 +154,13 @@ MODEL_URLS = {
'https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar',
'dict_path': './ppocr/utils/ppocr_keys_v1.txt'
}
}
},
'cls': {
'ch': {
'url':
'https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar',
}
},
},
'PP-OCR': {
'det': {
......
......@@ -33,7 +33,7 @@ class SimpleDataSet(Dataset):
self.delimiter = dataset_config.get('delimiter', '\t')
label_file_list = dataset_config.pop('label_file_list')
data_source_num = len(label_file_list)
ratio_list = dataset_config.get("ratio_list", [1.0])
ratio_list = dataset_config.get("ratio_list", 1.0)
if isinstance(ratio_list, (float, int)):
ratio_list = [float(ratio_list)] * int(data_source_num)
......
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