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![image](https://user-images.githubusercontent.com/47746159/82124248-03a51980-979e-11ea-995d-36caa88da0a7.png)
**目标检测 1 : 目标检测中的Anchor详解**
https://www.cnblogs.com/wangguchangqing/p/12012508.html
**…
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Now Darknet Yolo v2 is added to the OpenCV: https://github.com/opencv/opencv/pull/9705
You can use it from master-branch or since OpenCV 3.4.0 will be released.
There is example how to use Yolo v2: …
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is it faster and less calculation by the mobilenet on datknet ?
and...
thank you very much. You got my star.
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when I use your convert_weights_to_caffemodel.py
python convert_weights_to_caffemodel.py yolo.prototxt yolo.weights yolo.caffemodel
I met the problem that the reorg is not define,how to solve it
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I have installed Cuda & OpenCV for object detection as written in docs.
And tried to detect objects on the video file and got nearly FPS: 2.8.
```
./darknet detector demo cfg/coco.data cfg/yo…
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I think combining motion detection with classification like [yolo](https://pjreddie.com/darknet/yolo/) and using AI-sticks as workhorse could fit very nicely in to the core purpose of motioneyeos.
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Hi,
I have a problem converting YOLOv3.
in darknet2caffe.py, Line20,
net = caffe.Net(protofile, caffe.TEST)
net has not any values(=empty)
It seems to be worked like below
layer {
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dsgh2 updated
7 months ago
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微博内容精选
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### 路由地址
```routes
/zhihu/posts/:usertype/:id
```
### 完整路由地址
```fullroutes
/zhihu/posts/people/frederchen
```
### 相关文档
https://docs.rsshub.app/routes/social-media#zhi-hu-yong-hu-wen-zhang
### …