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+## libfastimagehash
+
+[](https://www.codefactor.io/repository/github/simon987/fastimagehash/overview/master)
+[](https://github.com/simon987/fastimagehash/blob/master/LICENSE)
+
+*WIP: Not ready for production use!*
+
+`libfastimagehash` is a [imagehash](https://github.com/JohannesBuchner/imagehash/)
+replacement for C/C++.
+
+
+
+
+
+
+*[\*benchmarks](bench/)*
+
+### Example usage
+
+```C++
+#include "fastimagehash.h"
+
+int main() {
+ // TODO
+}
+```
+
+### Build from source
+
+// TODO
+
+**Built with**
+* [opencv](https://github.com/opencv) for image decoding & resizing
+* [wavelib](https://github.com/rafat/wavelib) for wavelet decomposition in `whash` (With [additional CFLAGS](https://github.com/simon987/wavelib/commit/8d05b0b7321271b05365d3e89bfb0fd5a26d68a6))
+* [fftw3](http://fftw.org/) for DCT in `phash`
+* [google/benchmark](https://github.com/google/benchmark) to measure performance
+
+**Disclaimer**: The methods used to compute the image hashes
+are identical to the `imagehash` python library, however, due to
+some slight differences in the way OpenCV vs Pillow images are resized,
+the final image hashes are not always exactly the same.
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+
+To run the benchmarks:
+```bash
+python run.py
+```
+
+All benchmarks were ran with
+```
+i7-7500U CPU @ 2.70GHz x 4
+gcc version 9.2.0
+Python 3.8.0
+imagehash 4.0
+fastimagehash v0.1
+```
+
+### Results
+**phash**
+
+
+
+**dhash**
+
+
+
+**whash**
+
+
+
+**ahash**
+
+
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