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![Screenshot 2020-04-10 at 8 06 06 PM](https://user-images.githubusercontent.com/148137/78989641-c62dea80-7b66-11ea-9a75-8950cfcfc0cc.png)
any idea how to fixed it. Thanks for this libfacedetection…
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FaceBlur
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Hello everyone,
i really would like to know if i made any mistake with face detection through facenet because
in my project it has some problems with face detection when in the picture the face is…
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Is the "commented" performance results for running on Raspberry Pi 3 with ARM (Cortex-A53 (ARMv8)) in README.md still valid?
When running face detection+face landmark with libfacedetection on an A…
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**Problem**:
Build failed on Raspberry Pi (ARM) when `ENABLE_NEON=ON`:
```sh
$ cmake \
-D CMAKE_BUILD_TYPE=Release \
-D ENABLE_AVX2=OFF \
-D ENABLE_AVX512=OFF \
-D ENABLE_NEON=ON \
-D…
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你好,
看了你的对比,确实感觉速度比较快,但是你对比的两个模型,都没有给出在相应测试集上的准确率和召回率,这个有进行过对比吗?谢谢
zhly0 updated
5 years ago
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您好:
人脸检测效果比较好,能否提供人脸检测参考的论文或者相关的模型下载链接?
谢谢
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Hi, Yu:
I can't find the directory "./models/" mentioned in your README file.
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hi, do you know how fast it is when testing on one image? have you analyse its fps? Thanks!
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余老师您好,我在下载了您的开源项目之后想要尝试把onnx模型部署到VUE上并做一个demo的展示。目前我使用的Node.js是1.16.1,onnxruntime是最新的1.12.1.在这个过程中我发现,使用项目自带的onnx会遇到两个问题:
1.需要把INT64转换成INT32.这个比较好处理。我在opset_version等参数不变的情况下,把模型的params和Nodes都换成了精度是IN…