human-detection VS yolo-tf2

Compare human-detection vs yolo-tf2 and see what are their differences.

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human-detection yolo-tf2
1 1
34 747
- -
4.4 7.6
6 months ago almost 2 years ago
Python Python
- MIT License
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.

human-detection

Posts with mentions or reviews of human-detection. We have used some of these posts to build our list of alternatives and similar projects.

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 ...

What are some alternatives?

When comparing human-detection and yolo-tf2 you can also consider the following projects:

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

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.

EDSR_Tensorflow - TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.

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

Traffic-Signal-Violation-Detection-System - A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

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

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

onnx-tensorflow - Tensorflow Backend for ONNX

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