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proximage

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96c35c491e02a69623e03d912f023f72884def78

Corrected project name in readme

ddiegolascasas committed 9 years ago
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5da91599076ff08cedc4bfadcc7c003b36338260

Version 2.0

ddiegolascasas committed 9 years ago
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8cad44f15b72fabf2a6f3adbbe375b236ea82a00

Small fix in select-faces

ddiegolascasas committed 9 years ago
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6423747242f8e6640e1e792811a3d485ccff51e7

fixed lack of body masks

ddiegolascasas committed 9 years ago
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7e63993416699c61aedce1dbd9fd4cb1d094bd69

added extra parameters

ddiegolascasas committed 9 years ago
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ace2b4b701324a1eb8c38413f01ed99dad820ada

changed parameters

ddiegolascasas committed 9 years ago

README

The README file for this repository.
  • P R O X I M A G E

Just run capture-detect.py to extract all the faces detected with the camera with landmark extraction and extra padding.

** Notes

  • This is not the whole system, only the face detection part. The rest is implemented in MAX.
  • An earlier version of this project was presented in ESCALATRONICA 2015, Buenos Aires, as Imaginatu.

** Instalation

  • Depends on:
    • OpenCV 2.4
    • Dlib 18.8
    • Python packages: numpy and skimage
  • Create a directory entities/ to store the data, or change this in the capture-detect.py script
  • Create a data/ directory and put the shape_predictor_68_face_landmarks.dat data file from dlib there