import os.path from cvpr_build_models_frgc import build_all_models_frgc from sfs_io import load_frgc celebrities_path = '/home/pts08/research/sfs/celebrities' #celebrity_subjects = ['clint_eastwood', 'gerard_depardieu', 'jack_nicholson', # 'jude_law', 'mona_lisa', 'samuel_beckett', 'tom_cruise', # 'tom_hanks'] # 'jude_law' is too big an image celebrity_subjects = ['mona_lisa', 'samuel_beckett', 'tom_cruise', 'tom_hanks'] print "Loading FRGC" images = load_frgc('spring2003') for subject in celebrity_subjects: base_path = os.path.join(celebrities_path, subject + '.png') build_all_models_frgc(images, base_path, subject)
import os.path from cvpr_build_models_frgc import build_all_models_frgc from menpo.transform import AlignmentSimilarity from sfs_io import load_frgc yaleb_path = '/vol/atlas/databases/yaleb/all_central_lighting' yaleb_subjects = ['yaleB01', 'yaleB02', 'yaleB03', 'yaleB04', 'yaleB05', 'yaleB06', 'yaleB07', 'yaleB08', 'yaleB09', 'yaleB10'] base_name = '{0}_P00A+000E+00.pgm' print "Loading FRGC" images = load_frgc('spring2003') for subject in yaleb_subjects[:1]: base_path = os.path.join(yaleb_path, base_name.format(subject)) build_all_models_frgc(images, base_path, subject, transform_class=AlignmentSimilarity, square_mask=True)