rpi-urban-mobility-tracker
DeepSORT
rpi-urban-mobility-tracker | DeepSORT | |
---|---|---|
1 | 1 | |
111 | 721 | |
- | - | |
0.0 | 0.0 | |
6 months ago | 10 months ago | |
Jupyter Notebook | C++ | |
GNU General Public License v3.0 only | - |
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
DeepSORT
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Need to download resources for DeepSORT from pan.baidu.com
Hello everyone, I am recently trying to use an opensource repository for using DeepSORT to track objects in a video frame, while it seems a nice repository, the models are in a pan.baidu domain which I am unable to access. Can someone please help me in getting those resources? The Main Github repository: shaoshengsong/DeepSORT: support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++ (github.com)
What are some alternatives?
spchcat - Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi.
PaddleDetection - Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
deep_sort - Simple Online Realtime Tracking with a Deep Association Metric
coral-pi-rest-server - Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick
freyr-js - A tool for downloading songs from music streaming services like Spotify and Apple Music.
docs - TensorFlow documentation
kivy-tensorflow-helloworld - Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python.
tensorflow_lite_alpine - Tensorflow Lite reduced to a tiny C library compatible with musl environments like Alpine Linux