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To tune the vision pipeline efficiently, we would like to run opencv interactively on the pi and be able to use functionality like trackbars to get GRIP-like ease of changing parameters. This all requires using imshow() to open the image on the pi. It doesn’t work on the version of opencv provided with 2019.2.1. At a minimum, libgtk was missing when it was built.
Please rebuild it to allow displaying images locally (after one installs a desktop, of course).
The text was updated successfully, but these errors were encountered:
Fixes#17.
Stage 2 is fairly minimal, stage 3 builds/installs OpenCV and WPILib et al, and stage 4
builds/installs the FRCVision webdash and adds the vision examples.
Other changes:
- OpenCV compiled with ffmpeg, OpenBLAS, and libgtk (fixes#79, fixes#80)
- OpenBLAS added to image (fixes#65)
- C++ Makefile is more easily extensible (fixes#71)
- Sources for everything are bundled into image into /usr/src
- README updated (fixes#16)
- pkg-config files for wpilibc et al are now installed and C++ Makefile uses them (if compiled local to Pi)
- Both dynamic and static libs are included in image
The only downside of all these changes (particularly the ffmpeg, OpenBLAS, and libgtk inclusion)
is the image size is now over 3GB (800MB compressed). The previous image didn't quite fit on a
2GB card however.
To tune the vision pipeline efficiently, we would like to run opencv interactively on the pi and be able to use functionality like trackbars to get GRIP-like ease of changing parameters. This all requires using imshow() to open the image on the pi. It doesn’t work on the version of opencv provided with 2019.2.1. At a minimum, libgtk was missing when it was built.
Please rebuild it to allow displaying images locally (after one installs a desktop, of course).
The text was updated successfully, but these errors were encountered: