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This is my project for CSC2515 at UofT, please feel free to use

1. Use Xcode to run the program.
2. Add related frameworks from directory "$(SRCROOT)/opencv-2.4.5/release/lib"
3. Add Header Search Path with "$(SRCROOT)/opencv-2.4.5/release/include"
4. !IMPORTANT set C++ Standard Library to "libstdc++(GNU C++ standard library"
5. Edit scheme to put "<some path>/dataset.csv" into the environment argument
6. Edit scheme to properly set the working directory

- Directory also contains a compiled opencv-2.4.5. 
-- Just add frameworks from directory "./release/lib" 
-- And set Header Search Path to "./release/include" 
- A dataset is provided, call JAFFE, in the folder "DataSet", accompanied with a script to generate the csv file.
- Ideas are derived from the papers provided.

Recogition Rate: (Given 1:1 Training & Test set)
Class #Correct-Prediction #Test-Sample 
0 		14              15
1 		10 		14
2 		13 		16
3 		13 		16
4 		12 		15
5 		13 		15
6 		14 		15

- https://github.com/aquadrop/FaceExpressionRecognition.git

- Enjoy!

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My Face Expression Recognition Project for CSC2515 at UofT

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  • C++ 76.2%
  • C 7.0%
  • Cuda 4.4%
  • Makefile 3.7%
  • CMake 3.2%
  • Python 2.8%
  • Other 2.7%