vector-python-sdk
tatoeba-to-anki
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vector-python-sdk | tatoeba-to-anki | |
---|---|---|
6 | 1 | |
556 | 7 | |
0.5% | - | |
0.0 | 2.2 | |
over 1 year ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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vector-python-sdk
- Vector 2.0 crash with error 914/915 on tutorial 06_face_image
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Is it worth to buy it?
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.
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Issues with User Intent Event in the SDK
Good luck, here's a link to the script.
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Can Vector be pushed far with machine learning and deep learning?
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.
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Ai Iām trying to make Cozmo voice controlled and always on and find charger by itself on iOS but I can use Mac how do I do this?
As far as I know, only Vector is programmable with the SDK in python.
- is vector get smarter?
tatoeba-to-anki
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Creating anki frequency deck
A resource that also probably would be very useful is Tatoeba, which has lots of example sentences for Armenian. Just today I created a Github project which converts a tatobea language pair into an Anki Deck using the genanki library and downloads audio files from Google. This should not be very difficult to adapt to Armenian.
What are some alternatives?
anki-sync-server - Self-hosted Anki sync server
free-spaced-repetition-scheduler - A spaced repetition algorithm based on DSR model
Anki.Vector.SDK - The Anki Vector .NET SDK provides programmicatic access to the Vector Robot from .NET and is published as a NuGet package.
Ankinator - Extract new words out of your text files and create anki flash cards out of them.
NabotPythonAPI - Python API for Nabot AI robot
anki-connect - Anki plugin to expose a remote API for creating flash cards.
ai-robot-hand-with-raspberry-pi - A robotics hand that mimics human hands using Computer Vision.
LibreLingo - š¢ š š a community-owned language-learning platform
PythonRobotics - Python sample codes for robotics algorithms.
incremental-reading - Anki add-on providing incremental reading features
vector - C# API for the Anki Vector robot.
pact - Python GUI tool for language learning: create clips from mp3 files, add transcription via Vosk AI, and export to Anki