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README.md
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@@ -1,4 +1,4 @@
English | [简体中文](README_CN.md)
English | [简体中文](README_ch.md)
![⚡️FastDeploy](https://user-images.githubusercontent.com/31974251/185771818-5d4423cd-c94c-4a49-9894-bc7a8d1c29d0.png)
@@ -18,7 +18,7 @@ English | [简体中文](README_CN.md)
**⚡️FastDeploy** is an **accessible and efficient** deployment Development Toolkit. It covers 🔥**hot AI models** in the industry and provides 📦**out-of-the-box** deployment experience. It covers image classification, object detection, image segmentation, face detection, face recognition, human keypoint detection, OCR, semantic understanding and other tasks to meet developers‘ industrial deployment needs for **multi-scenario**, **multi-hardware** and **multi-platform** .
**⚡️FastDeploy** is an **accessible and efficient** deployment Development Toolkit. It covers 🔥**hot AI models** in the industry and provides 📦**out-of-the-box** deployment experience. It covers image classification, object detection, image segmentation, face detection, face recognition, human keypoint detection, OCR, semantic understanding and other tasks to meet developers‘ industrial deployment needs for **multi-scenario**, **multi-hardware**, **multi-platform** .
| Potrait Segmentation | Image Matting | Semantic Segmentation | Real-Time Matting |
|:----------------------------------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------------------------------------------------:|
@@ -101,21 +101,22 @@ wget https://gitee.com/paddlepaddle/PaddleDetection/raw/release/2.4/demo/0000000
* Test inference resultsTest inference results
```python
```python
# For deployment of GPU/TensorRT, please refer to examples/vision/detection/paddledetection/python
import cv2
import fastdeploy.vision as vision
model = vision.detection.PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel",
```
model = vision.detection.PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel",
"ppyoloe_crn_l_300e_coco/model.pdiparams",
"ppyoloe_crn_l_300e_coco/infer_cfg.yml")
im = cv2.imread("000000014439.jpg")
result = model.predict(im.copy())
print(result)
im = cv2.imread("000000014439.jpg")
result = model.predict(im.copy())
print(result)
vis_im = vision.vis_detection(im, result, score_threshold=0.5)
cv2.imwrite("vis_image.jpg", vis_im)
vis_im = vision.vis_detection(im, result, score_threshold=0.5)
cv2.imwrite("vis_image.jpg", vis_im)
```
### A Quick Start for C++ SDK
#### Installation