rpi-urban-mobility-tracker
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds. (by nathanrooy)
tensorflow_lite_alpine
Tensorflow Lite reduced to a tiny C library compatible with musl environments like Alpine Linux (by Jonarod)
| rpi-urban-mobility-tracker | tensorflow_lite_alpine | |
|---|---|---|
| 1 | 1 | |
| 111 | 14 | |
| - | - | |
| 0.0 | 0.0 | |
| 6 months ago | over 4 years ago | |
| Jupyter Notebook | Go | |
| GNU General Public License v3.0 only | - |
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.
tensorflow_lite_alpine
Posts with mentions or reviews of tensorflow_lite_alpine.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-01.
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How do build from an armv7 Dockerfile on an armv6l system?
So you could either run TFLite on Alpine or I guess fiddle with Qemu which seems excessive. Here’s a link to a super small TFLite image: https://github.com/Jonarod/tensorflow_lite_alpine.
What are some alternatives?
When comparing rpi-urban-mobility-tracker and tensorflow_lite_alpine you can also consider the following projects:
spchcat - Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi.
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
coral-pi-rest-server - Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick
docs - TensorFlow documentation
kivy-tensorflow-helloworld - Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python.
DeepSORT - support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++