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Viola-Jones face detection from scratch in WebAssembly

License: MIT License

C++ 99.94% JavaScript 0.06%
webassembly computer-vision haar-cascade haar-cascade-classifier haar-training cascade-classifier viola-jones machine-learning adaboost

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wasmface's Issues

Potential Implementation error

Please refer to the paper's algo:

Given example images (x1, y1), . . . , (xn , yn ) where
yi = 0, 1 for negative and positive examples respectively.
โ€ข Initialize weights w1,i = 1/2m , 1/2l for yi = 0, 1 respectively,
where m and l are the number of negatives and positives
respectively.

algo

compared to the source code

	std::fill(posWeights.begin(), posWeights.end(), 1.0f / 2.0f * positiveSet.size());
	std::fill(negWeights.begin(), negWeights.end(), 1.0f / 2.0f * negativeSet.size());

for input positive size = 10; each of posWeights initially is set to 5;
However, it should be 1/(2*10) = 0.05 instead.

It is from the associative law of multiplication.
Hence a brackets should be put, such as:
std::fill(posWeights.begin(), posWeights.end(), 1.0f / ( 2.0f * positiveSet.size() ) );

to exactly match the algorithm.

Thanks

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