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