ivanmrsulja/traffic-participants-detection ivanmrsulja/traffic-participants-detection

  • Stars
    star
    9
  • Rank 1,939,727 (Top 39 %)
  • Language
    Python
  • Created almost 3 years ago
  • Updated almost 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
ivanmrsulja/traffic-participants-detection
github

ivanmrsulja

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Trafic participants recognition, localization and classification on real time video.

More Repositories

1

direct-search-optimisation-sim

Interactive demo of Hooke_Jeeves and Powell algorithms used for direct-search function optimisation.
Python
8
star
2

asteroids

Classic asteroids game made with olcPixelGameEngine.
C++
7
star
3

brick-ide

Simple, fast and lightweight IDE and text editor for C development.
Python
7
star
4

pdf-search-engine

Simple CLI search engine for searching PDF files.
Python
5
star
5

titanic-survivability-prediction

Testing different ML models on famous Titanic dataset from kaggle. (100% accuracy)
Python
5
star
6

checkers-bot

Very simple checkers bot made using minimax algorithm with alpha-beta pruning to calculate the ideal move.
Python
5
star
7

hand-gesture-recognition

Hand tracking and gesture recognition using neural networks and traditional model pipeline
Python
4
star
8

keepass2john

Convert KeePass (KDBX) password databases to John the Ripper format. Supports KeePass 1.x and 2.x formats while preserving encryption integrity.
Perl
3
star
9

HCI-projekat

Predmetni projekat iz predmeta Interakcija Čovek Računar.
C#
2
star
10

projekat-ISA-MRS

Projektni zadatak iz predmeta Internet softverske arhitekture i Metodologije razvoja softvera.
JavaScript
2
star
11

miniC-compiler

Compiler for very simple C-like language that i wrote for my university course.
Yacc
1
star
12

ticket-ordering-app

Simple ticket ordering app that i wrote for my web programming course assignment.
JavaScript
1
star
13

flower-classification-inceptionV3

Flower classification model that classifies flowers in 10 classes made using transfer learning (~85% accuracy).
Python
1
star