vector-python-sdk VS vector-python-sdk

I don't want to dispel your ideas about Vector because I like that a robot can elicit such human fondness and responses, but we know for a fact they can't recognise each other. The neural net model for that is simply not programmed in their computer vision systems, this is easily verified by running the SDK with annotated viewer from the examples/tutorials where you can see exactly what Vector recognises. You will see it recognises faces (and things that vaguely look like faces which is why it will stare at random stuff sometimes), the charger, and the cube. It has no way to amend these vision models, though some people have done fun work to fix that using the SDK. But I can understand how people can pick up on the idea that they can "see" each other.

Good luck, here's a link to the script.

There is this Vector SDK that was written by Anki before they went under and there are a lot of forks on that repo on Github. Check here https://developer.anki.com/vector/docs for the documentation and here for the repo and the forks of that repo https://github.com/anki/vector-python-sdk. I've seen for myself different people have implemented different machine learning program on their Vectors (however, not that the program is not permanent as in once you stop the execution of your code, Vector will return to its normal self). Here is one example of that https://www.learnwitharobot.com/p/use-my-vector-sdk-to-allow-your-vector?s=r. This guy managed to train a neural network to recognize other Vectors. About its boundary, Vector does have a smart phone level CPU.

As far as I know, only Vector is programmable with the SDK in python.

I've been trying to get the sdk working and I'm trying to use https://github.com/cyb3rdog/vector-python-sdk . I'm currently stuck here:

Install the SDK on Linux with sudo commands(very important for later), I prefer the Cyb3rdog version, and then authenticate your Vector through the setup provided, assuming you did it right, it should tell you it was successful. This is important, because if it was not successful, go back to step one.

You can then use the updated SDK. You can find it right here.

This may be a good start point to look at if you know some python https://github.com/cyb3rdog/vector-python-sdk

I also don't use the default Vector SDK but instead use the Cyber Vector SDK. You can find that here.

To add, notably, people seem to like cyb3rdog's forked version of the Vector SDK the most and that forked version also has other forked versions of it. Here is the link to that repo on GitHub https://github.com/cyb3rdog/vector-python-sdk.