Stereo matching and image reprojection
Bob IP Stereo
This package is part of the signal-processing and machine learning toolbox Bob.
This package implements stereo mapping and projection functionalities and provides them as bob.io.stream.StreamFilter to easiily integrate them in processing pipelines.
Complete bob’s installation instructions. Then, to install this package, run:
$ conda install bob.ip.stereo
Here is an example of how to use the package to load data recorded with 3 different cameras, build a depth map using 2 of them and use it to project the third camera’s data.
# Import Stream and StreamFile classes # Generic processing filters are available through the Stream class from bob.io.stream import StreamFile, Stream # Import bob.ip.stereo: this updates the Stream class with the stereo filters # It also upates the StreamFile class to allow to set camera configuration information. f = StreamFile( resource_path("test/data/input_example.h5", "bob.io.stream"), resource_path("config/idiap_face_streams.json", "bob.io.stream"), ) f.set_camera_configs(resource_path("config/idiap_face_calibration.json")) # stream for stereo and projection tests color = Stream("color", f) nir_left = Stream("nir_left_stereo", f).adjust(color) nir_right = Stream("nir_right_stereo", f).adjust(color) # reproject operations map_3d = nir_left.stereo(nir_right) depth = map_3d.select(channel=2).colormap(colormap="jet") rep_color = color.reproject(nir_left, nir_right, map_3d) # Use the stereo data: rep_color[0:2] # ...
For questions or reporting issues to this software package, contact our development mailing list.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.