py-motmetrics VS yolov4-deepsort

Compare py-motmetrics vs yolov4-deepsort and see what are their differences.

py-motmetrics

:bar_chart: Benchmark multiple object trackers (MOT) in Python (by cheind)

yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow. (by theAIGuysCode)
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py-motmetrics yolov4-deepsort
1 5
1,315 1,249
- -
4.9 0.0
about 1 month ago over 1 year ago
Python Python
MIT License 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.

py-motmetrics

Posts with mentions or reviews of py-motmetrics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-17.

yolov4-deepsort

Posts with mentions or reviews of yolov4-deepsort. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-13.
  • How do I train the DeepSORT tracker for a custom class?
    2 projects | /r/computervision | 13 Apr 2021
    I am trying to track objects in a sequence of images in order to count them. I was looking around for robust trackers since in my case, the camera moves with respect to the object. I found the DeepSORT tracker online and it seems like the solution to my problem. However, I am not sure of how I could train it for my own custom classes. I am currently looking at this repository and it seems to almost do the things I want, except for the counting part. Can anyone explain to me how I can train the DeepSORT tracker for my own classes? I am already training a YOLOv4 model on these custom classes. As a result, I have collected a labelled dataset for the training and validation purposes, and if I have to use images for the training.
  • Help needed with object tracker implementation
    2 projects | /r/computervision | 24 Mar 2021
    I have tried to implement the YOLOv4 + DeepSort tracking from the AI Guys code presented here, just to get an idea of how to go about this, but from what I understand, I will need to train the DeepSORT tracker for detecting my own classes. I do not know how to do that.
  • Installing tensorflow with gpu makes me want to blow my brains out
    3 projects | /r/tensorflow | 28 Dec 2020
    And totally unecessary!! Next day, I discovered a GitHub project that simply used conda, as below.

What are some alternatives?

When comparing py-motmetrics and yolov4-deepsort you can also consider the following projects:

Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.

multi-object-tracker - Multi-object trackers in Python

remote - Moved to https://github.com/labmlai/labml/tree/master/remote

pyenv-installer - This tool is used to install `pyenv` and friends.

zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.

deep_sort - Simple Online Realtime Tracking with a Deep Association Metric

treecounter-ML - A simple application that detects and counts the number of trees in a vineyard. Makes use of darknet and OpenCV.

VolleyVision - Applying Deep Learning Approaches to Volleyball Data

Yolo_mark - GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2