PaddleDetection
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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.
### 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 scores = outputs['bbox'][:, 1].numpy() RuntimeError: (PreconditionNotMet) Tensor's...
### 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 版本:CUDA11.2/cuDNN8.2/TensorRT8.0 使用的对应版本的 inference 库 在使用TesnorRT推理模型时,出现了下列错误 我已经通过 EnableUseGpu(1000,0),...
### 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 [07/26 19:18:47] ppdet.utils.checkpoint INFO: Finish resuming model...
您好我对PR不太熟悉这里我就把我仓库修改的链接给您一下吧。 我这里主要是看到ppyolo是用paddledetection进行迭代的,然后我的项目是要对ppyolov2做了一个修改,我把ppyolov2的backbone更换为了botnet,然后原本我是打算在paddledetection的backbone的存放界面写一个botnet呢,但是因为我不知道怎么进行相关配置,就比如我写了一个botnet.py我不知道怎么在网络结构配置中引用botnet最后我就把resnet.py给改成了botnet [https://github.com/violetweir/PaddleDetection](https://github.com/violetweir/PaddleDetection) 然后我在ai studio里面写了一个项目就是用paddledetection复现botnet并作为backbone应用到项目的。 [https://aistudio.baidu.com/aistudio/projectdetail/2265776?channelType=0&channel=0](https://aistudio.baidu.com/aistudio/projectdetail/2265776?channelType=0&channel=0) 我真的十分希望能教一下怎么规范化的给paddledetection添加新功能,太谢谢了。
For ssd mobilenet v1 quantization training by static graph mode, the pretrained weights has been converted into weights with fusing conv and bn layers by the script of fuse_conv_bn.py ....
For ssd mobilenet v1 quantization training by static graph mode, the pretrained weights has been converted into weights with fusing conv and bn layers by the script of fuse_conv_bn.py ....
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PR types New features PR changes APIs Describe Hi, This PR add PAA (Probalistic Anchor Assignment) implementation
https://github.com/PaddlePaddle/PaddleDetection/blob/67c757d3d499f8c8a03e2e380d0c091daedfb6c0/tools/infer_mot.py#L93 这里预测infer_mot 的 ByteTrack 加载权重应该是 self.model 加载 weights ,你们对应一下训练的代码中加载权重的这个。 我用的配置文件是 mot/bytetrack/yoloe....xxx.yaml
sum -> concat