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63 lines
1.6 KiB
63 lines
1.6 KiB
2 years ago
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## E-Face
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This project name as `E-Face` which is a implementation of face detection algorithm.
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My nick name is `EOF`. For convenient, I name it as `E-Face`.
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### The archtecture of this project.
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The following list show the files in this awesome project.
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* adaboost.py
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Implmentation of Adaptive Boosting algorithm
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* cascade.py
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Cascade Decision Tree
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* config.py
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All parameters of configuration in this project are stored in this file.
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* image.py
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The initialization of images. class Image and class ImageSet are in this file.
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* haarFeature.py
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Stuff with Haar-Features.
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* vecProduct.py
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A simple function to do production of two vectors.
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* weakClassifier.py
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The detail about Weak classifier.
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* testing.py
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Script for testing.
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* training.py
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Script for training the model.
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* getCachedAdaBoost.py
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directories:
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* model/
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cache files for adaboost model.
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* featuers/
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values for different feaures with different samples.
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* doc/
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documents with this project.
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###Programming Style:
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I used basic OOP(Object Oriented Programming) tricks to build my program. Something like... I put all about `AdaBoost` into a class(AdaBoost) which you can find in file `adaboost.py`. Everytime you want to do something with adaboost, just create a object instance of that class.
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Adavantages of this style:
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Higher level of abstraction and easy to be used. With this style, green hand will easy to build good archtecture with our project.
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Disadvantages of this style:
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Without optimalization, it will cost a lot of memory. This will be obvious when the scale of project goes more and more large.
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