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Recent content by robagar

  1. robagar

    Sending a stream of commands without time.sleep

    Yes! there's a much better way - asynchronous Python. Have a look at my tello-asyncio library which makes it easy to use Python asyncio's await so each command gets sent when OK arrives back from the last one, without any sleeping at all import asyncio from tello_asyncio import Tello async...
  2. robagar

    New Python library for Tello AI - jetson-tello

    Hi @Ivette sorry I've been away for a while - I'm in the middle of pulling the video decoding parts out into their own package (tello-asyncio-video) and I must have left jetson-tello in a rather poor state.. Hopefully I'll be able to get back onto it over the weekend
  3. robagar

    The secret of showing video with OpenCV is...

    I'm afraid I don't - in fact I do not even *have* a RMTT or any SDK 3.0 drone. I was just going from the published docs. But yes, you can use `send_ext_command` to send any command string to the drone - all it does is add the EXT prefix for you before passing it on to the drone and waiting for...
  4. robagar

    The secret of showing video with OpenCV is...

    Very nice! I really need to update my drone to SDK 3.0 just to get the motor control. It's always overheating while I tinker... Glad you like the asyncio library!
  5. robagar

    Monocular camera based drone navigation using a ORB_SLAM2 prebuilt map (ROS) ---- Advanced features

    Very nice! Was the map pre-built from drone camera footage? Also, which feature detection algorithm are you using there?
  6. robagar

    tello-asyncio 2.0 with SDK 3.0 support

    tello-asyncio 2.1.0 up - Wait for Wifi network implemented for macOS as well as Linux - Mission pad fixes & example improvement (thanks!)
  7. robagar

    tello-asyncio 2.0 with SDK 3.0 support

    Thanks! Please let me know if you find any bugs - I don't have a SDK 3 drone to test against
  8. robagar

    SDK 3.0 for Tello EDU

    hiya - I've just updated tello-asyncio with SDK 3 support if you fancy giving it a go... eg the keep_cool.py example uses motoron/motoroff to switch motors on in the new low speed mode
  9. robagar

    tello-asyncio 2.0 with SDK 3.0 support

    Hi all - I've just published version 2.0 of tello-asyncio with support for the new version 3.0 of the Tello SDK The SDK 2.0 interface is the same as it was, except that all commands now return the response from the drone when completed.
  10. robagar

    New Python library for Tello AI - jetson-tello

    jetson-tello 1.1.8 Mostly a tidy up, but also added a utility function run_jetson_tello_app which makes it very easy to fly a drone and CUDA process video frames, without falling behind the live video stream. Here's an example - take off, look around and find faces... #!/usr/bin/env python3...
  11. robagar

    New Python library for Tello AI - jetson-tello

    Some results from a flying drone: frame #93, detection time 0.04997s, dining table (0.95), chair (0.78), person (0.68), person (0.94) frame #95, detection time 0.04945s, dining table (0.96), chair (0.74), person (0.62), person (0.94) frame #97, detection time 0.04964s, dining table...
  12. robagar

    New Python library for Tello AI - jetson-tello

    ok, here's the detection times for frames captured from the drone, but loaded from file in the object detection example detection times (seconds): 1: 2.303 2: 0.1095 3: 0.05508 4: 0.06146 5: 0.05088 6: 0.05064 7: 0.05104 The first frame is slow, but after that its ~20fps :) I'll...
  13. robagar

    New Python library for Tello AI - jetson-tello

    sure, I'll need to add some timing code.. It should also skip frames to keep up with the video, but I haven't verified that it actually is yet
  14. robagar

    New Python library for Tello AI - jetson-tello

    Announcing jetson-tello - a new Python library for connecting the Tello with the AI capability provided by NVIDIA's Jetson hardware Makes it as simple as possible to feed drone video into a neural network for AI processing Here's an example - detecting faces and recognising objects in view of...

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