deployment Namespace Reference

Classes
class	inverse_warp_get_cost

Functions
def	load_as_float (path)
def	load_as_uchar (path)
def	get_intrinsic (json_path)
def	get_extrinsic (json_path)
def	np2Depth (input_tensor, invaild_mask)
def	showdepth (predict_depths, b_idx)
	show depth More...
def	main ()
	Main function to test. More...

Variables
	device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
bool	scaling = True
int	scaled_width = 480
int	scaled_height = 352
float	dmin = 0.5
float	dmax = 32.0
int	level = 64
	root_dir = Path('sample/0000')
	gInverse_warp_and_ncc = inverse_warp_get_cost(num_workers=1)
	CONSTRUCTOR CALL LOCATION IS VERY IMPORTANT. More...

Function Documentation

get_extrinsic()

def deployment.get_extrinsic

(

json_path

)

get_intrinsic()

def deployment.get_intrinsic

(

json_path

)

load_as_float()

def deployment.load_as_float

(

path

)

load_as_uchar()

def deployment.load_as_uchar

(

path

)

main()

def deployment.main

(

)

Main function to test.

np2Depth()

def deployment.np2Depth	(		input_tensor,
			invaild_mask
	)

showdepth()

def deployment.showdepth	(		predict_depths,
			b_idx
	)

show depth

Parameters

predict_depths

Model output result

Variable Documentation

device

deployment.device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")

dmax

float deployment.dmax = 32.0

dmin

float deployment.dmin = 0.5

gInverse_warp_and_ncc

deployment.gInverse_warp_and_ncc = inverse_warp_get_cost(num_workers=1)

CONSTRUCTOR CALL LOCATION IS VERY IMPORTANT.

level

int deployment.level = 64

root_dir

deployment.root_dir = Path('sample/0000')

scaled_height

int deployment.scaled_height = 352

scaled_width

int deployment.scaled_width = 480

scaling

bool deployment.scaling = True