What did you personally accomplish this week on the project? Give files or photos that demonstrate your progress.
This week I focused on the integration of our code onto the jetson nano. This process was admittedly far more difficult than we had anticipated. The ptz camera setup has an official Github with code to run on the Jetson, but the camera streaming only works with Python2. When running with python3 I received an error with the GStreamer framework’s interaction with OpenCV. This is a problem that is well documented, but there is apparently no straightforward solution: https://github.com/opencv/opencv/issues/10324. In order, to remedy this problem, I wrote a replacement for the JetsonCamera.py file that changed the streaming method and Camera class to use ffmpeg instead of GStreamer. This change was successful in getting the cameras operating with Python 3.
I also added a final image editing function, vibrance, to our library. This algorithm is commonly used in photo editing but was difficult to implement because it is not well defined. The general idea of vibrance is to increase the intensity of dull pixels while keeping colorful pixels the same (to avoid getting washed out). I found pseudocode that decompiled a photo editing library’s implementation, so I coded and adapted this for our proect.
Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?
The integration phase has taken far longer than expected. In order to adjust, I am focusing fully on integration instead of photo editing (a less necessary part of the project). Our group has also adjusted our schedule to have a single round of testing with a Minimum Viable Project instead of multiple rounds of development.
What deliverables do you hope to complete in the next week?
Operational search and detection algorithms running on the robot.