35 lines
1.2 KiB
Markdown
35 lines
1.2 KiB
Markdown
A `mirror` which shows which faces are detected through three different facial detection algorithms:
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* OpenCV's deep neural net [face detector](https://github.com/opencv/opencv/tree/master/samples/dnn/face_detector).
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* Dlib's default frontal face detector, which is HOG based
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* A Viola-Jones Haarcascade detection. Any OpenCV compatible xml file should work. It defaults to the canonical `haarcascade_frontalface_alt2.xml`.
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# Installation
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## on windows
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The installation in Windows can be done, though it is quite elaborate:
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* Install python3
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* Install VS C++
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* Install Cmake (needed for python dlib)
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+ make sure to add it to path
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* Install git
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+ including ssh deploy key
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* `git clone https://git.rubenvandeven.com/r/face_detector`
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* `cd face_recognition`
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* `pip install virtualenv`
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* `virtualenv.exe venv`
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* `.\venv\Scripts\activate`
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* `cd .\dnn\face_detector`
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* `python.exe .\download_weights.py`
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* `cd .\visualhaar`
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* Either one of:
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+ Compile rust library
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* Install rustup-init
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* `git submodules init`
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* `git submodules update`
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* `cargo build --lib --release`
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+ Download dll from https://git.rubenvandeven.com/r/visualhaar/releases
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