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Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

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报错[ WARN:[email protected]] global c:\build\master_winpack-build-win64-vc15\opencv\modules\imgcodecs\src\loadsave.cpp (239) cv::findDecoder imread_('--camera_id'): can't open/read file: check file path/integrity是怎么回事?

add english document for vehicle attribute recognition model.

### 问题确认 Search before asking - [X] 我已经查询[历史issue](https://github.com/PaddlePaddle/PaddleDetection/issues),没有类似需求。I have searched the [issues](https://github.com/PaddlePaddle/PaddleDetection/issues) and found no similar feature requests. ### 需求描述 Feature Description 正在使用ssd_mobilenet_v1模型,想要修改prior_box的输入数据类型,使卷积全都变成8bit的卷积,实现卷积全量化 ### 是否愿意提交PR Are you willing to submit...

### 问题确认 Search before asking - [X] 我已经查询[历史issue](https://github.com/PaddlePaddle/PaddleDetection/issues),没有报过同样bug。I have searched the [issues](https://github.com/PaddlePaddle/PaddleDetection/issues) and found no similar bug report. ### bug描述 Describe the Bug I was looking to run head tracking...

There is a lot of redundant code in `pipeline.py` for initializing classes. This PR is aimed to make the code more clear. - Put part of parsing `args` and `cfgs`...

1. add md5sum check in deploy/pipelien/download.py 2. add illegal parking recognition to pipeline.

### 问题确认 Search before asking - [X] 我已经搜索过问题,但是没有找到解答。I have searched the question and found no related answer. ### 请提出你的问题 Please ask your question 在PP-Picodet的检测头中,为什么没有前景和背景信息?如下图所示 ![image](https://user-images.githubusercontent.com/78945582/184272447-d60287a2-b389-4f37-b9f2-cb2a88f5675f.png)

### 问题确认 Search before asking - [X] 我已经搜索过问题,但是没有找到解答。I have searched the question and found no related answer. ### 请提出你的问题 Please ask your question 基于PP-YOLOE的知识蒸馏方法和代码有吗?多谢专家

### 问题确认 Search before asking - [X] 我已经搜索过问题,但是没有找到解答。I have searched the question and found no related answer. ### 请提出你的问题 Please ask your question 当前有两个基于PP-YOLOE-S训练的模型,一个是检测玩手机的,一个是检测吸烟的,如何将这两个模型的onnx合并,从而得到一个既可以检测玩手机也可以检测吸烟的模型,避免重新训练