rpi-object-detection
multi-object-tracker
| rpi-object-detection | multi-object-tracker | |
|---|---|---|
| 1 | 4 | |
| 126 | 667 | |
| - | - | |
| 3.6 | 6.4 | |
| about 1 year ago | 7 months ago | |
| Python | Python | |
| MIT License | MIT License |
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-object-detection
-
How to add these models to pi
Not sure I understand the part of a model in pkl format (pickle ?). I have only used saved weights and checkpoints from pytorch and tensorflow. About a python script that does that, there are plenty in the internet. Here is a good demo https://github.com/automaticdai/rpi-object-detection
multi-object-tracker
- Multi-object trackers in Python
-
Difference DeepSort and doing detection on each frame
You may find this useful: https://adipandas.github.io/multi-object-tracker/
-
SORT Tracker adds extra objects
As you can see, in Frame 43, the tracker assigns the ID 10 to a metal post, but a few frames later when the tracker tracks the same metal post, it provides an ID of 11. This shows that the tracker is assigning new IDs to the same detected object. I cannot seem to find out why this happens, and how to fix it. I am using the motrackers module from this repo. I have not made any changes as such in the mot_yolov3.py file, I have just added the line to print the frame counter.
-
Example Of A Simple And Well Made Python Project
I have a simple python project which has gone through at least 5 iterations since I began working on it. Please see this link: adipandas/multi-object-tracker.
What are some alternatives?
Savant - Python Computer Vision & Video Analytics Framework With Batteries Included
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
ai-robot-hand-with-raspberry-pi - A robotics hand that mimics human hands using Computer Vision.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Traffic-Signal-Violation-Detection-System - A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
PyCameraServer - Online web-editor of video / images / Youtube / IP Camera frames using Flask, OpenCV and neural networks
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
automatic-video-processing - Turn any live video stream or locally stored video into a dataset of interesting samples for ML training, or any other type of analysis.
Kornia - Geometric Computer Vision Library for Spatial AI
Face Recognition - The world's simplest facial recognition api for Python and the command line
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.