yolo-tf2 VS zero-shot-object-tracking

Compare yolo-tf2 vs zero-shot-object-tracking and see what are their differences.

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yolo-tf2 zero-shot-object-tracking
1 10
747 350
- 1.4%
7.6 0.6
almost 2 years ago 14 days 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.

yolo-tf2

Posts with mentions or reviews of yolo-tf2. We have used some of these posts to build our list of alternatives and similar projects.
  • How to write a resume for python / ML jobs?
    1 project | /r/learnmachinelearning | 6 Feb 2021
    my most useful project is yolo object detector implementation in tf2 and I'm currently working on 2 other projects, one of which is the implementation of various drl algorithms in tf and the other project will be based on the latter and it's concerned with trading. The rest are more of scripts rather than projects ex: web scraping, file management, programming challenges ...

zero-shot-object-tracking

Posts with mentions or reviews of zero-shot-object-tracking. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-21.
  • How to Track Flying Objects?
    2 projects | news.ycombinator.com | 21 Feb 2022
    I’ve seen a bunch of drone-detection computer vision projects. Usually they’re detecting dromes from other drones though (Eg for autonomous racing[1] or drone-defense).

    A challenge with doing it from the ground is that the drones will be quite small relative to the size of the image. With sufficient compute and several cameras a tiling-based approach[2] should work!

    If you want to do unique-identification you’ll also need object tracking[3].

    This is exactly the type of project Roboflow (our startup) is built to empower! Happy to chat/help further (Eg we might be able to help source a good dataset to start from). And if it’s for non-commercial use it should be completely free.

    [1] https://blog.roboflow.com/drone-computer-vision-autopilot/

    [2] https://blog.roboflow.com/detect-small-objects/

    [3] https://blog.roboflow.com/zero-shot-object-tracking/

  • Object tracking in videos?
    4 projects | /r/computervision | 9 Feb 2022
    We use CLIP for object tracking with pretty good results (with no second model train required). https://blog.roboflow.com/zero-shot-object-tracking/
  • Hacker News top posts: Aug 28, 2021
    1 project | /r/hackerdigest | 28 Aug 2021
    Zero Shot Object Tracking\ (4 comments)
  • Need help in camera selection
    1 project | /r/computervision | 25 Aug 2021
  • Zero Shot Object Tracking
    3 projects | news.ycombinator.com | 25 Aug 2021
    It uses an object detection model (in our example code[1], we used one from Roboflow Universe[2] but you should be able to use any object detection model) and then sends a crop of each detected box to CLIP to get the feature vector that Deep SORT uses to differentiate between and track instances across frames.

    [1] https://github.com/roboflow-ai/zero-shot-object-tracking

    [2] https://universe.roboflow.com

  • [P] Zero-Shot Object Tracking with CLIP and Deep SORT
    1 project | /r/MachineLearning | 25 Aug 2021
    Repo: https://github.com/roboflow-ai/zero-shot-object-tracking
  • Zero-Shot Object Tracking with CLIP and Deep SORT
    1 project | /r/computervision | 25 Aug 2021
  • Show HN: Zero-Shot Object Tracking
    1 project | news.ycombinator.com | 25 Aug 2021

What are some alternatives?

When comparing yolo-tf2 and zero-shot-object-tracking you can also consider the following projects:

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

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

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

Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

ssd_keras - A Keras port of Single Shot MultiBox Detector

yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.