提交 8346621b 编写于 作者: W WenmuZhou

添加使用自定义模型文档

上级 c581ff51
...@@ -134,6 +134,37 @@ paddleocr --image_dir PaddleOCR/doc/imgs_words/ch/word_1.jpg --det false ...@@ -134,6 +134,37 @@ paddleocr --image_dir PaddleOCR/doc/imgs_words/ch/word_1.jpg --det false
['韩国小馆', 0.9907421] ['韩国小馆', 0.9907421]
``` ```
## 自定义模型
当内置模型无法满足需求时,需要使用到自己训练的模型。
首先,参照[inference.md](./inference.md) 第一节转换将检测和识别模型转换为inference模型,然后按照如下方式使用
### 代码使用
```python
from paddleocr import PaddleOCR, draw_ocr
# 检测模型和识别模型路径下必须含有model和params文件
ocr = PaddleOCR(det_model_dir='your_det_model_dir',rec_model_dir='your_rec_model_dir')
img_path = 'PaddleOCR/doc/imgs/11.jpg'
result = ocr.ocr(img_path)
for line in result:
print(line)
# 显示结果
from PIL import Image
image = Image.open(img_path).convert('RGB')
boxes = [line[0] for line in result]
txts = [line[1][0] for line in result]
scores = [line[1][1] for line in result]
im_show = draw_ocr(image, boxes, txts, scores, font_path='/path/to/PaddleOCR/doc/simfang.ttf')
im_show = Image.fromarray(im_show)
im_show.save('result.jpg')
```
### 通过命令行使用
```bash
paddleocr --image_dir PaddleOCR/doc/imgs/11.jpg --det_model_dir your_det_model_dir --rec_model_dir your_rec_model_dir
```
## 参数说明 ## 参数说明
| 字段 | 说明 | 默认值 | | 字段 | 说明 | 默认值 |
......
...@@ -138,6 +138,38 @@ Output will be a list, each item contains text and recognition confidence ...@@ -138,6 +138,38 @@ Output will be a list, each item contains text and recognition confidence
['PAIN', 0.990372] ['PAIN', 0.990372]
``` ```
## Use custom model
When the built-in model cannot meet the needs, you need to use your own trained model.
First, refer to the first section of [inference_en.md](./inference_en.md) to convert your det and rec model to inference model, and then use it as follows
### 1. Use by code
```python
from paddleocr import PaddleOCR,draw_ocr
# The path of detection and recognition model must contain model and params files
ocr = PaddleOCR(det_model_dir='your_det_model_dir',rec_model_dir='your_rec_model_dir')
img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg'
result = ocr.ocr(img_path)
for line in result:
print(line)
# draw result
from PIL import Image
image = Image.open(img_path).convert('RGB')
boxes = [line[0] for line in result]
txts = [line[1][0] for line in result]
scores = [line[1][1] for line in result]
im_show = draw_ocr(image, boxes, txts, scores, font_path='/path/to/PaddleOCR/doc/simfang.ttf')
im_show = Image.fromarray(im_show)
im_show.save('result.jpg')
```
### Use by command line
```bash
paddleocr --image_dir PaddleOCR/doc/imgs/11.jpg --det_model_dir your_det_model_dir --rec_model_dir your_rec_model_dir
```
## Parameter Description ## Parameter Description
| Parameter | Description | Default value | | Parameter | Description | Default value |
......
...@@ -21,7 +21,7 @@ with open('requirments.txt', encoding="utf-8-sig") as f: ...@@ -21,7 +21,7 @@ with open('requirments.txt', encoding="utf-8-sig") as f:
def readme(): def readme():
with open('doc/doc_en/whl.md', encoding="utf-8-sig") as f: with open('doc/doc_en/whl_en.md', encoding="utf-8-sig") as f:
README = f.read() README = f.read()
return README return README
......
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