Open Source Computer Vision Library https://opencv.org/
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#!/usr/bin/env python
import numpy as np
import cv2 as cv
import argparse
import sys
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
'--algo',
help="""DEPTH - works with depth,
RGB - works with images,
RGB_DEPTH - works with all,
SCALE - works with depth and calculate Rt with scale,
default - runs all algos""",
default="")
parser.add_argument(
'-src_d',
'--source_depth_frame',
default="")
parser.add_argument(
'-dst_d',
'--destination_depth_frame',
default="")
parser.add_argument(
'-src_rgb',
'--source_rgb_frame',
default="")
parser.add_argument(
'-dst_rgb',
'--destination_rgb_frame',
default="")
args = parser.parse_args()
if args.algo == "RGB_DEPTH" or args.algo == "DEPTH" or args.algo == "":
source_depth_frame = cv.samples.findFile(args.source_depth_frame)
destination_depth_frame = cv.samples.findFile(args.destination_depth_frame)
depth1 = cv.imread(source_depth_frame, cv.IMREAD_ANYDEPTH).astype(np.float32)
depth2 = cv.imread(destination_depth_frame, cv.IMREAD_ANYDEPTH).astype(np.float32)
if args.algo == "RGB_DEPTH" or args.algo == "RGB" or args.algo == "":
source_rgb_frame = cv.samples.findFile(args.source_rgb_frame)
destination_rgb_frame = cv.samples.findFile(args.destination_rgb_frame)
rgb1 = cv.imread(source_rgb_frame, cv.IMREAD_COLOR)
rgb2 = cv.imread(destination_rgb_frame, cv.IMREAD_COLOR)
if args.algo == "DEPTH" or args.algo == "":
odometry = cv.Odometry(cv.DEPTH)
Rt = np.zeros((4, 4))
odometry.compute(depth1, depth2, Rt)
print("Rt:\n {}".format(Rt))
if args.algo == "RGB" or args.algo == "":
odometry = cv.Odometry(cv.RGB)
Rt = np.zeros((4, 4))
odometry.compute(rgb1, rgb2, Rt)
print("Rt:\n {}".format(Rt))
if args.algo == "RGB_DEPTH" or args.algo == "":
odometry = cv.Odometry(cv.RGB_DEPTH)
Rt = np.zeros((4, 4))
odometry.compute(depth1, rgb1, depth2, rgb2, Rt)
print("Rt:\n {}".format(Rt))
if __name__ == '__main__':
main()