rpi-urban-mobility-tracker
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds. (by nathanrooy)
docs
TensorFlow documentation (by tensorflow)
| rpi-urban-mobility-tracker | docs | |
|---|---|---|
| 1 | 3 | |
| 111 | 6,033 | |
| - | 0.5% | |
| 0.0 | 9.0 | |
| 6 months ago | 9 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
docs
Posts with mentions or reviews of docs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2020-12-12.
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Anyone willing to help me out on a discord call or something?
This is the model I’m trying to understand and create my own version of: https://github.com/tensorflow/docs/blob/master/site/en/r1/tutorials/sequences/recurrent_quickdraw.md
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Well technically, C++ *is* Danish...
Seems like a fun task. Tensorflow already has a nice tutorial for image segmentation . You’d have to replace the pets by fruits and then you’d be good.
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Get started with TensorFlow and Deep Learning
TensorFlow docs here
What are some alternatives?
When comparing rpi-urban-mobility-tracker and docs you can also consider the following projects:
spchcat - Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi.
Artificial-Intelligence_resources-and-notebooks - This repo contains various different datasets and codes with various different algorithms. This also contains code and demonstrations to run an Artificial Intelligence Algorithm on the edge. It also contains many datasets where one can practice AI.