def batch_process_harddrive(path='/media/SA1_videos/sa1_movies_3/', movie_info=None, dataset=None):
movie_dataset_filename = None
if movie_info is None:
obj_id_list, movie_info = sa1a.sa1_analysis()
for MOVIE_ID in movie_info.keys():
#if movie_info[MOVIE_ID]['Path'] == path:
print 'loading id: ', MOVIE_ID
npmovie = process_movie(MOVIE_ID, movie_info, dataset=dataset)
print 'trajectory: ', npmovie.trajec
mnpmovie = pm.MiniNPM(npmovie)
print 'mini trajectory: ', mnpmovie.trajec
del(npmovie)
if movie_dataset_filename is not None:
movie_dataset = pm.load(movie_dataset_filename)
else:
movie_dataset = {}
movie_dataset_filename = 'movie_dataset_3'
movie_dataset.setdefault(MOVIE_ID, mnpmovie)
pm.save(movie_dataset, movie_dataset_filename)
del(movie_dataset)
def test(n):
o, m = sa1a.sa1_analysis()
print 'processing: ', m.keys()[n]
dataset = pm.load('/home/floris/data/sa1_movie_data/h5_files/reduced_dataset')
npmovie = process_movie(m.keys()[n], m, dataset)
return npmovie