def initOut(self):
print ' Loading Data...'
self.a_train_set = ADatasetFromFolder(
sequence_dir, '../MOT/MOT16/test/MOT16-%02d' % self.seq_index)
self.m_train_set = MDatasetFromFolder(
sequence_dir, '../MOT/MOT16/test/MOT16-%02d' % self.seq_index)
detection_dir = self.out_dir + 'res_training_det.txt'
res_training = self.out_dir + 'res_training.txt' # the result of the training data
self.createTxt(detection_dir)
self.createTxt(res_training)
self.copyLines(self.seq_index, 1, detection_dir, self.tt, 1)
self.evaluation(1, self.tt, detection_dir, res_training)
def initOut(self):
print(' Loading Data...')
self.a_train_set = ADatasetFromFolder(sequence_dir, mot_dataset_dir + 'MOT16/test/MOT16-%02d' % self.seq_index,
tau_conf_score)
self.m_train_set = MDatasetFromFolder(sequence_dir, mot_dataset_dir + 'MOT16/test/MOT16-%02d' % self.seq_index,
tau_conf_score)
detection_dir = self.out_dir + 'res_det.txt'
res_training = self.out_dir + 'res.txt' # the tracking results
self.createTxt(detection_dir)
self.createTxt(res_training)
self.copyLines(self.seq_index, 1, detection_dir, self.seq_len, 1)
self.evaluation(1, self.seq_len, detection_dir, res_training)
def initOut(self):
for i in xrange(1, 9):
start_t = time.time()
self.camera = i
self.bbx_counter = 0
print ' Loading the model...'
self.loadAModel()
self.loadMModel()
print ' Loading Data...'
self.a_train_set = ADatasetFromFolder(i, self.tau_conf_score)
self.m_train_set = MDatasetFromFolder(i, self.tau_conf_score)
self.evaluation()
print ' This camera:', self.camera, '- Time:', (time.time() - start_t)/60