in params.py [0:0]
def parse(self, args=None, namespace=None):
if not self.initialized:
self.initialize()
self.params = self.parser.parse_args(args, namespace=namespace)
if self.params.configure == "kitti":
self.params.flow_checkpoint = "FlowNet2-KITTI"
self.params.model_type = "monodepth2"
self.params.overlap_ratio = 0.5
if 'matcher' in self.params:
self.params.matcher = 'sequential'
# Resolve unspecified parameters
model = get_depth_model(self.params.model_type)
if self.params.align <= 0:
self.params.align = model.align
if self.params.learning_rate <= 0:
self.params.learning_rate = model.learning_rate
if self.params.lambda_view_baseline < 0:
self.params.lambda_view_baseline = model.lambda_view_baseline
self.print()
return self.params