robotics-level-4
This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software. (by jiteshsaini)
ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK (by axinc-ai)
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robotics-level-4 | ailia-models | |
---|---|---|
1 | 4 | |
79 | 1,814 | |
- | 4.1% | |
10.0 | 9.8 | |
about 1 year ago | 6 days ago | |
Python | Python | |
- | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
robotics-level-4
Posts with mentions or reviews of robotics-level-4.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-26.
-
nub needs some directions
My end goal is to achieve functionality similar to: https://github.com/jiteshsaini/robotics-level-4/tree/main/earthrover/human_following but in python on windows pc
ailia-models
Posts with mentions or reviews of ailia-models.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-20.
-
10$ Full Body Tracking! I'm proud to release ToucanTrack (in Beta!). Get decent FBT with the power of 2 PS3 Eye Cameras and AI!
If you're looking for the differences in terms of how inference is done, I recommend you take a look at MediaPipe's source code. MediaPipe doesn't use raw code, but uses a "graph" instead (eg. pose_landmark_cpu.pbtxt), which can be visualised using MediaPipe Viz. I also used axinc-ai/ailia-models as the base (preprocessing, inference, postprocessing, etc...) which I further built upon (keypoint refinement, roi from keypoints, filtering / smoothing, etc...)
- [P] A collection of pre-trained, state-of-the-art AI models
- Ailia-models: A collection of pre-trained, state-of-the-art AI models
What are some alternatives?
When comparing robotics-level-4 and ailia-models you can also consider the following projects:
CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more