def _load_train_config(self):
train_config_rw = TrainConfigRW(self.helper.paths.model_dir)
if not train_config_rw.train_config_exists:
raise RuntimeError(
'Unable to run inference, config from training wasn\'t found.')
self.train_config = train_config_rw.load()
src_size = self.train_config['settings']['input_size']
self.input_size_wh = (src_size['width'], src_size['height'])
logger.info('Model input size is read (for auto-rescale).',
extra={
'input_size': {
'width': self.input_size_wh[0],
'height': self.input_size_wh[1]
}
})
self.class_title_to_idx = self.train_config['class_title_to_idx']
self.train_classes = sly.FigClasses(self.train_config['out_classes'])
logger.info('Read model internal class mapping',
extra={'class_mapping': self.class_title_to_idx})
logger.info('Read model out classes',
extra={'classes': self.train_classes.py_container})
self.out_class_mapping = {
x: self.class_title_to_idx[x]
for x in (x['title'] for x in self.train_classes)
}
def _check_prev_model_config(self):
prev_model_dir = self.helper.paths.model_dir
prev_config_rw = TrainConfigRW(prev_model_dir)
if not prev_config_rw.train_config_exists:
raise RuntimeError('Unable to continue_training, config for previous training wasn\'t found.')
prev_config = prev_config_rw.load()
old_class_mapping = prev_config.get('class_title_to_idx', {})
if self.class_title_to_idx != old_class_mapping:
raise RuntimeError('Unable to continue training, class mapping is inconsistent with previous model.')
def _dump_model(self, is_best, opt_data):
out_dir = self.helper.checkpoints_saver.get_dir_to_write()
TrainConfigRW(out_dir).save(self.out_config)
model_fpath = os.path.join(out_dir, 'model.ckpt')
self.saver.save(self.sess, model_fpath)
self.helper.checkpoints_saver.saved(is_best, opt_data)
def _load_train_config(self):
model_dir = sly.TaskPaths(determine_in_project=False).model_dir
train_config_rw = TrainConfigRW(model_dir)
if not train_config_rw.train_config_exists:
raise RuntimeError('Unable to run inference, config from training wasn\'t found.')
self.train_config = train_config_rw.load()
src_size = 713 # @TODO: fixed value
self.input_size_wh = (src_size, src_size)
logger.info('Model input size is read (for auto-rescale).', extra={'input_size': {
'width': self.input_size_wh[0], 'height': self.input_size_wh[1]
}})
self.class_title_to_idx = self.train_config['class_title_to_idx']
self.train_classes = sly.FigClasses(self.train_config['out_classes'])
logger.info('Read model internal class mapping', extra={'class_mapping': self.class_title_to_idx})
logger.info('Read model out classes', extra={'classes': self.train_classes.py_container})
self.out_class_mapping = {x: self.class_title_to_idx[x] for x in
(x['title'] for x in self.train_classes)}