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    problems cloning MAVSDK Python docker from Gitlab

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    • tomT
      tom admin
      last edited by

      @parbat101 You may need to generate an SSH key before Gitlab allows you to clone via. ssh: https://docs.gitlab.com/ee/user/ssh.html#generate-an-ssh-key-pair

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      • P
        parbat101
        last edited by

        Hi Tom,
        Using your link I was able to clone the files. I generated the SSH key for Gitlab to clone via ssh, it didnot work. Is there any difference between the outcome of the file and their storage location while using https vs ssh?

        I proceeded forward with using MAVSDK in python using Docker container and followed the steps at:
        https://gitlab.com/voxl-public/voxl-docker-images/voxl-docker-mavsdk-python
        Screenshot from 2022-06-09 19-12-46.png
        In the step - Pull the image, I received error. The error is shown below:
        Screenshot from 2022-06-09 19-13-09.png
        Please help me solve this error.

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        • P
          parbat101 @parbat101
          last edited by

          update:
          Screenshot from 2022-06-09 19-44-18.png

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          • modaltbM
            modaltb ModalAI Team
            last edited by modaltb

            Double checking, is the VOXL on a network? E.g. can you ping something on the internet?

            I'm without a VOXL just now but the image is online
            a323daab-02af-40d6-8edf-7baea4bbbe24-image.png

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            • tomT
              tom admin
              last edited by

              @parbat101 There is no difference between cloning via ssh and https in regard to the code. SSH just allows you to clone via. a key passes to GitLab and therefore you don't have to manually enter your gitlab user / pass when pulling and pushing to a repo.

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              • P
                parbat101 @modaltb
                last edited by

                @modaltb Thank you for explaining.
                I couldnot connect internet on the voxl however I downloaded the files on the computer and used adb push to transfer those to VOXL.
                Then, I followed the steps to execte the example program given at:
                https://gitlab.com/voxl-public/voxl-docker-images/voxl-docker-mavsdk-python

                The motors (without propellers,For Safety) did spin on the drones so I assumed the drone can fly autonomously using sample program provided in MAVSDK Python in Gitlab page mentioned above...
                However, when I connected the QGroundControl and tried connecting the Transmitter (DX6e, recommended with m500 in the website),it says manual control lost.
                Until Yesterday, I used to use the manual and position flight mode with the transmitter in the QGroundControl flawlessly but now I cannot connect the controller. "Manual Control Lost" appears on the screen.
                I am trying to connect the transmitter for Manual Kill Switch Mode.
                I have attached the picture of the problem below. Please let me know what could be the problem. Thank You.
                Screenshot from 2022-06-10 17-40-00.jpg

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                • P
                  parbat101 @tom
                  last edited by

                  @tom Thank you so much for explaining.

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                  • tomT
                    tom admin
                    last edited by

                    @parbat101 Someone else may answer with a better idea why you're seeing your issue but checkout this video if you haven't to see this program executed correctly: https://www.youtube.com/watch?v=c5xz5IDccr0

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                    • tomT
                      tom admin
                      last edited by

                      @parbat101 another example: https://www.youtube.com/watch?v=V3vVs8fEOZs

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                      • P
                        parbat101 @tom
                        last edited by

                        @tom Thank you for the video links. I will follow those videos.

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                        • P
                          parbat101 @tom
                          last edited by

                          @tom The videos were super helpful and the drone worked as shown in the video.
                          To test other flight patterns, I want to edit the test file takeoff_and_land2.py file which I think is inside the docker images.
                          Can you please suggest me the best way to do it?

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                          • P
                            parbat101
                            last edited by

                            Thank you everyone for helping me. After I was able to solve the internet problem in the VOXL, everything was solved. All the problems I had in the threads above were mostly because of not having internet in the VOXL. It was hard to connect to University's wifi and Mobile hotspot did not work few times in the beginning. Yesterday, I was able to connect VOXL and Laptop to my mobile hotspot and everything was much easier.
                            I will keep working on the m500 drone and keep asking more questions in the forum as I progress.

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                            • tomT
                              tom admin
                              last edited by tom

                              @parbat101 Since it is included in that image, one (bad) option is to modify the script and then re-build the Docker image and it will pull in the modified script.

                              The better solution that I would recommend is create a new script i.e my-script.py and then mount it inside the Docker image on run time using something like this:

                              docker run -it --rm --privileged --net=host  -v $(pwd)/my-script.py:/path/to/my-script.py gcr.io/modalai-public/voxl-mavsdk-python:v1.1 /bin/bash
                              

                              where you mount the script from your host os inside of the Docker container. You can read more about docker + mounting here: https://docs.docker.com/storage/bind-mounts/

                              This would allow you to modify the script on your host os, then run the above command to pull it into the docker container on run-time. Keep in mind if you modify the script inside of the docker container and then exit the container, the edits will be lost. So make sure you edit the script outside of the container and then re-run the above command to pull in the updated script.

                              Another note, /path/to/my-script.py will denote the path at which you would like to have the script live inside of the docker container, so you will need to modify that to your liking.

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