no data while querying /run/mpa/tflight_data/request using Python
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Sweet, you should be able then to cast the
char* data
coming into your callback function into typeai_detection_t*
and then access the member variables for x/y min/max for the boxes.Thomas Patton
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@thomas so i included ai_detection.h and cast the char* data variable and compiled successfully and several of my services died ...lol
Service Name | Enabled | Running | CPU Usage
docker-autorun | Disabled | Not Running |
modallink-relink | Disabled | Not Running |
voxl-camera-server | Enabled | Not Running |
voxl-cpu-monitor | Enabled | Not Running |
voxl-dfs-server | Disabled | Not Running |
voxl-feature-tracker | Disabled | Not Running |
voxl-flow-server | Disabled | Not Running |I've tried everything to restart both camera server and cpu monitor and no luck. Rebooted, Cycled Power,
Any thoughts on how to recover from this? -
@thomas from my syslog
Jan 23 00:46:51 m0054 voxl-camera-server[4202]: /usr/bin/voxl-camera-server: symbol lookup error: /usr/bin/voxl-camera-server: undefined symbol: pipe_validate_mavlin
k_message_t
Jan 23 00:46:51 m0054 systemd[1]: voxl-camera-server.service: Main process exited, code=exited, status=127/n/a
Jan 23 00:46:51 m0054 systemd[1]: voxl-camera-server.service: Failed with result 'exit-code'.
Jan 23 00:46:51 m0054 voxl-px4[1656]: ERROR [muorb] SLPI: Failed to parse version request response packet!
Jan 23 00:46:53 m0054 voxl-px4[1656]: message repeated 534 times: [ ERROR [muorb] SLPI: Failed to parse version request response packet!]
Jan 23 00:46:53 m0054 systemd[1]: voxl-camera-server.service: Service hold-off time over, scheduling restart.
Jan 23 00:46:53 m0054 systemd[1]: voxl-camera-server.service: Scheduled restart job, restart counter is at 1.
Jan 23 00:46:53 m0054 systemd[1]: Stopped voxl-camera-server.
Jan 23 00:46:53 m0054 systemd[1]: Started voxl-camera-server.
Jan 23 00:46:53 m0054 voxl-camera-server[4226]: /usr/bin/voxl-camera-server: symbol lookup error: /usr/bin/voxl-camera-server: undefined symbol: pipe_validate_mavlin
k_message_t
Jan 23 00:46:53 m0054 systemd[1]: voxl-camera-server.service: Main process exited, code=exited, status=127/n/a
Jan 23 00:46:53 m0054 systemd[1]: voxl-camera-server.service: Failed with result 'exit-code'.
Jan 23 00:46:53 m0054 voxl-px4[1656]: ERROR [muorb] SLPI: Failed to parse version request response packet!Actually several enabled services wont restart
Service Name | Enabled | Running | CPU Usagedocker-autorun | Disabled | Not Running |
modallink-relink | Disabled | Not Running |
voxl-camera-server | Enabled | Not Running |
voxl-cpu-monitor | Enabled | Not Running |
voxl-dfs-server | Disabled | Not Running |
voxl-feature-tracker | Disabled | Not Running |
voxl-flow-server | Disabled | Not Running |
voxl-imu-server | Enabled | Running | 0.0%
voxl-lepton-server | Enabled | Not Running |
voxl-mavcam-manager | Disabled | Not Running |
voxl-mavlink-server | Enabled | Not Running |
voxl-modem | Disabled | Not Running |
voxl-neopixel-manager | Disabled | Not Running |
voxl-portal | Enabled | Not Running |
voxl-px4-imu-server | Disabled | Not Running |
voxl-px4 | Enabled | Running | 32.9%
voxl-qvio-server | Disabled | Not Running |
voxl-rangefinder-server | Disabled | Not Running |
voxl-remote-id | Disabled | Not Running |
voxl-softap | Disabled | Not Running |
voxl-static-ip | Disabled | Not Running |
voxl-stitcher | Disabled | Not Running |
voxl-streamer | Disabled | Not Running |
voxl-tag-detector | Disabled | Not Running |
voxl-tflite-server | Enabled | Running | 0.8%
voxl-time-sync | Disabled | Not Running |
voxl-uvc-server | Disabled | Not Running |
voxl-vision-hub | Enabled | Not Running |
voxl-wait-for-fs | Enabled | Completed |
voxl-wfb-rx-video | Disabled | Not Running |
voxl-wfb-rx | Disabled | Not Running |
voxl-wfb-tx-video | Disabled | Not Running |
voxl-wfb-tx | Disabled | Not Running |
voxl2:/$all i did was compile and make install my modal-tflite_data-client.c file
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@thomas its all working now.
had to reinstall the latest sdk. I'm guessing make install is a no-no. so just did a make and ran the executable.
voxl2:/libmodal-pipe/build/examples(master)$ ./modal-tflite_data-client
channel 0 connected to server
Bounding Box Coordinates:
score: 0.558105, x_min: 406.000000, y_min: 417.000000, x_max: 535.000000, y_max: 472.000000
Bounding Box Coordinates:
score: 0.429199, x_min: 427.000000, y_min: 370.000000, x_max: 573.000000, y_max: 426.000000
Bounding Box Coordinates:
score: 0.617676, x_min: 498.000000, y_min: 300.000000, x_max: 655.000000, y_max: 358.000000
Bounding Box Coordinates:
score: 0.416748, x_min: 505.000000, y_min: 302.000000, x_max: 659.000000, y_max: 359.000000
Bounding Box Coordinates:
score: 0.739258, x_min: 506.000000, y_min: 304.000000, x_max: 667.000000, y_max: 364.000000
Bounding Box Coordinates:
score: 0.493652, x_min: 4.000000, y_min: -1.000000, x_max: 781.000000, y_max: 109.000000
Bounding Box Coordinates:
score: 0.547852, x_min: 509.000000, y_min: 306.000000, x_max: 664.000000, y_max: 363.000000
Bounding Box Coordinates:
score: 0.640625, x_min: 505.000000, y_min: 310.000000, x_max: 660.000000, y_max: 369.000000 -
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@thomas Hey thomas, we've got the handshaking between your C helper program and our python script working well. i successfully loaded Yolov8 on the voxl and it works really well on images. Was wondering if we could open the camera pipe the same as the tflite_data pipe to run inference on the frames in realtime. i noticed in your /data/web_root/index.html that you are using websockets for serving the videos in the browsers. is this the better route?
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When you say "open the camera pipe" I'm not fully sure I understand what you mean.
voxl-tflite-server
in its current state already opens up a camera pipe for input images and then publishes its predictions out in thattflite_data
pipe and so if you're asking if that's possible then absolutely. Or are you trying to make an output image pipe or something with the predictions overlayed or something?Sorry, just not fully sure what you're asking.
Thomas Patton
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@thomas i'm not using voxl-tflite-server. On my voxl2 i installed the latest version of YOLOv8 from Ultralytics https://docs.ultralytics.com/ and it works well when i run inference on local images. i wanted to test just using a local python script that streams video frames from the hires_small_color camera and runs inference.
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Oh ok I see what you're going for then. However we don't currently have an API for doing streaming video in Python, only C++ through
libmodal-pipe
like we do in modules likevoxl-tflite-server
.If you really want to use Python, you could write a small C++ helper program to take in images from the camera and then use some sort of event-driven framework to pass those images to your Python script. Perhaps you could do something clever with just writing them to a temporary directory and setting up a callback-based interface in Python to detect when new files are present.
Sorry for the indirect answer, hope this at least helps some!!
Thomas Patton
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@thomas I already wrote a c helper function that uses libmodal-pipe to pipe tflite_data that my python script reads in realtime. it works well
per your message " small C++ helper program to take in images from the camera". how would i modify my c helper to use libmodal-pipe to stream data from one of the cameras? -
Oh great, if you already have a function that works with
libmodal-pipe
then you shouldn't have much trouble writing one for the cameras. Take a look at these lines for the initial code to register the callback function to the camera pipe, this sets up_camera_helper_cb
to receive images on callback. For an example of parsing that data, maybe check out these lines in a different module. There's a bit of extra info here but this shows the gist of casting the rawchar*
bytes into something like an OpenCV image. Definitely modify as needed to fit your use case!Keep me posted, happy to help however I can!
Thomas Patton