reconstruction Namespace Reference

Functions
def	arduino_map (src, in_min, in_max, out_min, out_max)
def	create_output (vertices, colors, filename)

Variables
	fcolor = cv2.imread('./sample.png', 1)
	colors = cv2.cvtColor(fcolor, cv2.COLOR_BGR2RGB)
	disparity = cv2.imread('./depth_GT.png', 0)
	dtype
	Q
	points_3D = cv2.reprojectImageTo3D(disparity, Q)
	mask_map = disparity > disparity.min()
	output_points = points_3D[mask_map]
	output_colors = colors[mask_map]

Function Documentation

arduino_map()

def reconstruction.arduino_map	(		src,
			in_min,
			in_max,
			out_min,
			out_max
	)

create_output()

def reconstruction.create_output	(		vertices,
			colors,
			filename
	)

Variable Documentation

colors

reconstruction.colors = cv2.cvtColor(fcolor, cv2.COLOR_BGR2RGB)

disparity

def reconstruction.disparity = cv2.imread('./depth_GT.png', 0)

dtype

reconstruction.dtype

fcolor

reconstruction.fcolor = cv2.imread('./sample.png', 1)

mask_map

reconstruction.mask_map = disparity > disparity.min()

output_colors

reconstruction.output_colors = colors[mask_map]

output_points

reconstruction.output_points = points_3D[mask_map]

points_3D

reconstruction.points_3D = cv2.reprojectImageTo3D(disparity, Q)

Q

reconstruction.Q

Initial value:

=  np.float32([[1,0,0,-256/2],
                    [0,1,0,-256/2],
                    [0,0,0,-512],
                    [0,0,-1/10,0]])