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GSOC17 - Facemark API #1257

Merged
merged 56 commits into from Oct 27, 2017
Merged

GSOC17 - Facemark API #1257

merged 56 commits into from Oct 27, 2017

Commits on Oct 2, 2017

  1. Initial commit of facemark API 

    Initial structure of the facemark API and AAM header
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    kurnianggoro authored and unknown committed Oct 2, 2017
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  2. make training function as virtual

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  3. Add: dataset parser

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  4. Bug fix: clear the container before add points

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  5. Add: AAM training - procrustes analysis

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  6. Add AAM model

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  7. Added training function for AAM

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  8. Building bot fixes: remove training overload, explicit cast to float … 

    …for atof
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  9. + add dependency: imgcodecs

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  10. Build bot fixes: add imgproc.hpp and type casting

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  11. Building bot fix: type casting

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  12. fixing the AAM training to match with Matlab version 

    fewer model parameters, change the image warp method, change the feature extraction method
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  13. add: AAM fitting 

    added several functionalities for fitting
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  14. fix warings

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  15. Add: transformation for the initial fitting

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  16. add sample file for aam implementation

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  17. fix warning

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  18. Add LFB Header

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  19. loadTrainingData: Throw an error message if file not exist

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  20. add: LBF prepare training data

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  21. add: data augmentation

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  22. change to double

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  23. add: getMeanShape

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  24. shuffling the dataset and parameters initialization

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  25. add: initial structure of LBF class

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  26. add: getDeltaShapes 

    Difference between the current shape and the desired shape
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  27. add: random forest training

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  28. generate lbf features

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  29. global regression

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  30. save training data

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  31. fix the parameter initialization

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  32. set the default parameters

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  33. add: initial version of lbf sample

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  34. update the current shape

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  35. compute error

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  36. add: prediction function

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  37. fix some warnings

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  38. fitting function 

    the result is mis-aligned, shuould be double checked
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  39. add: fitting in the demo

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  40. add dependencies

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  41. Add: tutorial

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  42. add: load model

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  43. fixing training

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  44. use user defined face detector

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  45. Documents, tests, and samples

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  46. Allow custom parameters

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  47. Cleaning up

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  48. Custom parameters for default detector, training, and get custom data

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  49. AAM scales

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  50. minor fixes , update the opencv_extra files

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  51. change path to lbp cascade

    @alalek
    alalek committed Oct 2, 2017
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  52. face: avoid memory leaks

    @alalek
    alalek committed Oct 2, 2017
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Commits on Oct 6, 2017

  1. utilize the filestorage for the model, fixing some minor issues

    @kurnianggoro
    kurnianggoro committed Oct 6, 2017
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Commits on Oct 12, 2017

  1. remove the liblinear dependency

    @kurnianggoro
    kurnianggoro committed Oct 12, 2017
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  2. fix the aam test, avoiding to write any files

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    kurnianggoro committed Oct 12, 2017
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Commits on Oct 25, 2017

  1. use RNG and changes the test files

    @kurnianggoro
    kurnianggoro committed Oct 25, 2017
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