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33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
'''
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Created on 16 avr. 2012
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@author: jll
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'''
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import os
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from context import facemovie
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from facemovie.Facemovie import FaceMovie
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import facemovie.training_types
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if __name__ == '__main__':
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root_fo = "C:\Users\jll\perso\workspace\FaceMovie"
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in_fo = os.path.join(root_fo, "data/input\Axel")
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out_fo = os.path.join(root_fo, "data/output")
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par_fo = os.path.join(root_fo, "facemovie/haarcascades")
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my_movie = FaceMovie(in_fo, out_fo, par_fo)
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my_movie.list_guys() # find images in input folder
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#my_movie.search_faces() # search for images with faces
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# I want to change images so that all faces have the same size
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#my_movie.normalize_faces() # sets all faces to the same size
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# I want to know the size of the output frame, knowing initial conditions
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#my_movie.find_out_dims() # finds output minimal size to get all eyes in the same place
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#choose your final step
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#my_movie.show_faces(1000)
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#my_movie.save_faces("output")
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#my_movie.save_movie("output")
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print "Facemovie finished !" |