rpi-urban-mobility-tracker
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds. (by nathanrooy)
coral-pi-rest-server
Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick (by robmarkcole)
rpi-urban-mobility-tracker | coral-pi-rest-server | |
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1 | 44 | |
111 | 66 | |
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0.0 | 0.0 | |
6 months ago | 6 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | MIT License |
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.
rpi-urban-mobility-tracker
Posts with mentions or reviews of rpi-urban-mobility-tracker.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-01.
coral-pi-rest-server
Posts with mentions or reviews of coral-pi-rest-server.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-21.
- BeagleY-AI: 4 TOPS-capable $70 board from Beagleboard
- Do you recommend Orange PI for ML or LLM projects?
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Framework for machine learning?
That said, you can always look at something like https://coral.ai/products/accelerator/ to help with the performance you need.
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Mini PC for AI
Should only be ~$60 https://coral.ai/products/accelerator/
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What are some USB devices worth using in a Home Lab Environment?
The Coral USB accelerator might be of interest if you want to do some light ML with a low power budget.
- Is a PCIe x1 enough for light ML tasks
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Would I be able to run ggml models such as whisper.cpp or llama.cpp on a raspberry pi with a coral ai USB Accelerator?
However, a pi doesn't have the strength to run something like Llama.cpp, of course, so I've been considering using something like the Coral USB Accelerator (https://coral.ai/products/accelerator). As I've been learning more about it, it seems to be very geared towards TensorFlow Lite models. But whisper.cpp and Llama.cpp use ggml models.
- Looking for a Mini PC for Home Assistant and Frigate.
- AI development suite on a stick?
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Modder wires ChatGPT into Skyrim VR so NPCs can roleplay and remember past conversations
Recently found this thing, though I haven't found a use case for me.
What are some alternatives?
When comparing rpi-urban-mobility-tracker and coral-pi-rest-server you can also consider the following projects:
spchcat - Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi.
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM