Git Product home page Git Product logo

pedestrian-detection-using-svm's Introduction

Pedestrian-Detection-using-SVM

Real-time Pedestrian detection using stand-alone LinearSVC in python.

The designed Pedestrian detection system works efficiently in outdoor conditions. The proposed work is implemented without using any standard object detection modules/libraries.

Necessary Python Libraries:

  1. Scikit-learn
  2. Numpy
  3. tkinter
  4. Opencv-python

Main file: Classifier_SVM.py

Trained model: finalized_model.sav

Download the dataset from here : https://drive.google.com/drive/folders/1uxtnKJe6Wxvb59HSW1EgoQ-tC9oCWkZV?usp=sharing and store it in folder named "database", which should be in the same directory as Classifier_SVM.py

pedestrian-detection-using-svm's People

Contributors

kbpranav avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.