train.py File Reference

Namespaces
namespace	train

Functions
def	train.save_checkpoint (save_path, epoch, depthNet, optimizer, is_best, filename='checkpoint.pth')
	model save method #### More...
def	train.save_urgentstop (save_path, depthNet_state, filename='urgentstop.pth')
def	train.save_path_formatter (args, parser)
def	train.main ()
def	train.np2Depth (input_tensor, invaild_mask)
def	train.showdepth (predict_depths, gt_depth, b_idx)
def	train.train (epoch, train_loader, HCDepthNet, optimizer, epoch_length, train_writer)
def	train.validate (epoch, val_loader, HCDepthNet, epoch_length, validating_writer)

Variables
	train.parser
	train.metavar
	train.help
	train.type
	train.int
	train.default
	train.float
	train.dest
	train.None
	train.action
bool	train.scaling = True
int	train.best_error = -1
	train.device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
int	train.scaled_width = 480
int	train.scaled_height = 352
float	train.dmin = 0.5
float	train.dmax = 32.0
int	train.level = 64