This article requires [Paddle Detection](https://github.com/PaddlePaddle/PaddleDetection) trained models and configuration files. If users want to quickly deploy on Paddle Serving, please read the chapter 2 directly.
This article requires [Paddle Detection](https://github.com/PaddlePaddle/PaddleDetection) trained models and configuration files. If users want to quickly deploy on Paddle Serving, please read the Chapter 2 directly.
## 1. Train an object detection model
## 1. Train an object detection model
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@@ -66,6 +66,7 @@ This is the input picture
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@@ -66,6 +66,7 @@ This is the input picture
<imgsrc = '000000570688_bbox.jpg'>
<imgsrc = '000000570688_bbox.jpg'>
<br>
<br>
<p>
<p>
This is the picture after adding bbox. You can see that the client has done post-processing for the picture. In addition, the output/bbox.json also has the number and coordinate information of each box.
This is the picture after adding bbox. You can see that the client has done post-processing for the picture. In addition, the output/bbox.json also has the number and coordinate information of each box.