Türkiye Canlı Mobese Görüntülerinde Profesyonel Nesne Takip Sistemi

Overview

Logo

Türkiye Mobese Görüntü Takip

Türkiye Mobese görüntülerinde OPENCV ve Yolo ile takip sistemi

Multiple Object Tracking System in Turkish Mobese with OPENCV and Yolo
Explore the docs » Projeyi keşfet

Table of Contents / İçerik Bölümü
  1. About the Project / Proje Hakkında
  2. Getting Started / Başlangıç
  3. Usage / Kullanım
  4. Roadmap / Yol Haritası
  5. Contributing / Katkı
  6. License / Lisans

If you are having any os compatiblity issue, let me know. I will try to fix as soon as possible so let's explore the docs.

Herhangi bir işletim sistemi uyumsuzluğu varsa, bana bildirin. En kısa sürede düzeltmeye çalışacağım, hadi dökümanı inceleyelim.

About the Project / Proje Hakkında

Currently this project have 171 cameras. | Projeye yüklü 171 canlı mobese görüntüsü vardır.

İstanbul > 44 Canlı Yayın          |   İstanbul > 44 Live CCTV Footage
İzmir > 76 Canlı Yayın             |   İzmir > 76 Live CCTV Footage
Tekirdag > 1 Canlı Yayın           |   Tekirdag > 1 Live CCTV Footage
Konya > 32 Canlı Yayın             |   Konya > 32 Live CCTV Footage
Ordu > 21 Canlı Yayın              |   Ordu > 21 Live CCTV Footage

This project implements Turkish Mobese CCTV footages detection classifier using pretrained yolov4-tiny models. If you trust your computer performance you can download yolov4 models too. The yolov4 models are taken from the official yolov4 paper which was released in April 2020 and the yolov4 implementation is from darknet.

Bu proje, önceden eğitilmiş yolov4-tiny modellerini kullanarak Türk Mobese Canlı CCTV görüntülerine algılama sınıflandırıcısını uygular. Bilgisayarınızın performansına güveniyorsanız yolov4 modellerinide indirebilirsiniz. Yolov4 modelleri, Nisan 2020'de yayınlanan resmi yolov4 belgesinden alınmıştır ve Yolov4 uygulaması darknet'tendir.

Built With / Kullanılanlar

Getting Started / Başlangıç

To get a local copy up and running follow these simple steps.

Kendi bilgisayarınızda çalıştırmak için bu basit adımları izleyin.

Installation / Kurulum

  1. Clone the repo | Projeyi indir.
    git clone https://github.com/samet-g/mobese.git
  2. Install Python packages | Gerekli Python paketlerini yükle.
    pip3 install -r requirements.txt

Usage / Kullanım

  • Run with Python or Download the .exe file.
  • Python kullanarak çalıştır veya .exe dosyasını indir
python3 main.py | just run .exe file

Roadmap / Yol Haritası

See the open issues for a list of proposed features
It should be good use cctv cameras in city with Shodan API or make GUI.

Sorunlar için açık sorunları kontrol edin.
Shodan API ile esnaf güvenlik kamerası kullanmak veya GUI yapmak iyi olur.

Contributing / Katkı

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated especially Roadmap / Yol Haritası check this to-do list.

Katkılar, açık kaynak topluluğu için büyük nimettir özellikle Roadmap / Yol Haritası kısmındaki yapılacak-listesini kontrol edin.

  1. Fork the Project | Projeyi forkla.
  2. Create your Feature Branch | Katkıda Bulun
    git checkout -b feature/YeniOzellik
  3. Commit your Changes | Değişiklikleri Commitle
    git commit -m 'Add some YeniOzellik'
  4. Push to the Branch | Değişikliğini Yolla
    git push origin feature/YeniOzellik
  5. Open a Pull Request | Pull Request Aç

License / Lisans

Distributed under the GNU License.
See LICENSE for more information.

GNU Lisansı altında dağıtılmaktadır.
Daha fazla bilgi için LICENSE bölümüne bakın.

Comments
  • [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    This PR was automatically created by Snyk using the credentials of a real user.


    Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

    Changes included in this PR

    • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
      • requirements.txt

    Vulnerabilities that will be fixed

    By pinning:

    Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | NULL Pointer Dereference
    SNYK-PYTHON-NUMPY-2321964 | numpy:
    1.21.2 -> 1.22.2
    | No | Proof of Concept low severity | 399/1000
    Why? Has a fix available, CVSS 3.7 | Buffer Overflow
    SNYK-PYTHON-NUMPY-2321966 | numpy:
    1.21.2 -> 1.22.2
    | No | No Known Exploit low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | Denial of Service (DoS)
    SNYK-PYTHON-NUMPY-2321970 | numpy:
    1.21.2 -> 1.22.2
    | No | Proof of Concept

    (*) Note that the real score may have changed since the PR was raised.

    Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

    Check the changes in this PR to ensure they won't cause issues with your project.


    Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

    For more information: 🧐 View latest project report

    🛠 Adjust project settings

    📚 Read more about Snyk's upgrade and patch logic


    Learn how to fix vulnerabilities with free interactive lessons:

    🦉 Denial of Service (DoS)

    opened by samet-g 0
  • [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    This PR was automatically created by Snyk using the credentials of a real user.


    Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

    Changes included in this PR

    • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
      • requirements.txt

    Vulnerabilities that will be fixed

    By pinning:

    Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | NULL Pointer Dereference
    SNYK-PYTHON-NUMPY-2321964 | numpy:
    1.21.2 -> 1.22.2
    | No | Proof of Concept low severity | 399/1000
    Why? Has a fix available, CVSS 3.7 | Buffer Overflow
    SNYK-PYTHON-NUMPY-2321966 | numpy:
    1.21.2 -> 1.22.2
    | No | No Known Exploit low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | Denial of Service (DoS)
    SNYK-PYTHON-NUMPY-2321970 | numpy:
    1.21.2 -> 1.22.2
    | No | Proof of Concept

    (*) Note that the real score may have changed since the PR was raised.

    Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

    Check the changes in this PR to ensure they won't cause issues with your project.


    Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

    For more information: 🧐 View latest project report

    🛠 Adjust project settings

    📚 Read more about Snyk's upgrade and patch logic


    Learn how to fix vulnerabilities with free interactive lessons:

    🦉 Denial of Service (DoS)

    opened by samet-g 0
  • [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

    Changes included in this PR

    • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
      • requirements.txt

    Vulnerabilities that will be fixed

    By pinning:

    Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | NULL Pointer Dereference
    SNYK-PYTHON-NUMPY-2321964 | numpy:
    1.21.2 -> 1.22.2
    | No | Proof of Concept low severity | 399/1000
    Why? Has a fix available, CVSS 3.7 | Buffer Overflow
    SNYK-PYTHON-NUMPY-2321966 | numpy:
    1.21.2 -> 1.22.2
    | No | No Known Exploit low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | Denial of Service (DoS)
    SNYK-PYTHON-NUMPY-2321970 | numpy:
    1.21.2 -> 1.22.2
    | No | Proof of Concept

    (*) Note that the real score may have changed since the PR was raised.

    Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

    Check the changes in this PR to ensure they won't cause issues with your project.


    Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

    For more information: 🧐 View latest project report

    🛠 Adjust project settings

    📚 Read more about Snyk's upgrade and patch logic


    Learn how to fix vulnerabilities with free interactive lessons:

    🦉 Denial of Service (DoS)

    opened by snyk-bot 0
  • [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    This PR was automatically created by Snyk using the credentials of a real user.


    Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

    Changes included in this PR

    • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
      • requirements.txt

    Vulnerabilities that will be fixed

    By pinning:

    Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | NULL Pointer Dereference
    SNYK-PYTHON-NUMPY-2321964 | numpy:
    1.21.2 -> 1.22.2
    | No | Proof of Concept low severity | 399/1000
    Why? Has a fix available, CVSS 3.7 | Buffer Overflow
    SNYK-PYTHON-NUMPY-2321966 | numpy:
    1.21.2 -> 1.22.2
    | No | No Known Exploit low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | Denial of Service (DoS)
    SNYK-PYTHON-NUMPY-2321970 | numpy:
    1.21.2 -> 1.22.2
    | No | Proof of Concept

    (*) Note that the real score may have changed since the PR was raised.

    Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

    Check the changes in this PR to ensure they won't cause issues with your project.


    Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

    For more information: 🧐 View latest project report

    🛠 Adjust project settings

    📚 Read more about Snyk's upgrade and patch logic


    Learn how to fix vulnerabilities with free interactive lessons:

    🦉 Denial of Service (DoS)

    opened by samet-g 0
  • [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

    Changes included in this PR

    • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
      • requirements.txt

    Vulnerabilities that will be fixed

    By pinning:

    Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | NULL Pointer Dereference
    SNYK-PYTHON-NUMPY-2321964 | numpy:
    1.21.2 -> 1.22.2
    | No | Proof of Concept low severity | 399/1000
    Why? Has a fix available, CVSS 3.7 | Buffer Overflow
    SNYK-PYTHON-NUMPY-2321966 | numpy:
    1.21.2 -> 1.22.2
    | No | No Known Exploit low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | Denial of Service (DoS)
    SNYK-PYTHON-NUMPY-2321970 | numpy:
    1.21.2 -> 1.22.2
    | No | Proof of Concept

    (*) Note that the real score may have changed since the PR was raised.

    Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.

    Check the changes in this PR to ensure they won't cause issues with your project.


    Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

    For more information: 🧐 View latest project report

    🛠 Adjust project settings

    📚 Read more about Snyk's upgrade and patch logic


    Learn how to fix vulnerabilities with free interactive lessons:

    🦉 Learn about vulnerability in an interactive lesson of Snyk Learn.

    opened by snyk-bot 0
  • [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    [Snyk] Security upgrade numpy from 1.21.2 to 1.22.2

    Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

    Changes included in this PR

    • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
      • requirements.txt

    Vulnerabilities that will be fixed

    By pinning:

    Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | NULL Pointer Dereference
    SNYK-PYTHON-NUMPY-2321964 | numpy:
    1.21.2 -> 1.22.2
    | No | Proof of Concept

    (*) Note that the real score may have changed since the PR was raised.

    Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.

    Check the changes in this PR to ensure they won't cause issues with your project.


    Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

    For more information: 🧐 View latest project report

    🛠 Adjust project settings

    📚 Read more about Snyk's upgrade and patch logic

    opened by snyk-bot 0
Releases(v1.0.0)
Owner
cybersec researcher and python dev.
This is the second place solution for : UmojaHack Africa 2022: African Snake Antivenom Binding Challenge

UmojaHack-Africa-2022-African-Snake-Antivenom-Binding-Challenge This is the second place solution for : UmojaHack Africa 2022: African Snake Antivenom

Mami Mokhtar 10 Dec 03, 2022
Breast Cancer Classification Model is applied on a different dataset

Breast Cancer Classification Model is applied on a different dataset

1 Feb 04, 2022
Supplementary code for TISMIR paper "Sliding-Window Pitch-Class Histograms as a Means of Modeling Musical Form"

Sliding-Window Pitch-Class Histograms as a Means of Modeling Musical Form This is supplementary code for the TISMIR paper Sliding-Window Pitch-Class H

1 Nov 27, 2021
Vehicle Detection Using Deep Learning and YOLO Algorithm

VehicleDetection Vehicle Detection Using Deep Learning and YOLO Algorithm Dataset take or find vehicle images for create a special dataset for fine-tu

Maryam Boneh 96 Jan 05, 2023
Supervised multi-SNE (S-multi-SNE): Multi-view visualisation and classification

S-multi-SNE Supervised multi-SNE (S-multi-SNE): Multi-view visualisation and classification A repository containing the code to reproduce the findings

Theodoulos Rodosthenous 3 Apr 15, 2022
An Evaluation of Generative Adversarial Networks for Collaborative Filtering.

An Evaluation of Generative Adversarial Networks for Collaborative Filtering. This repository was developed by Fernando B. Pérez Maurera. Fernando is

Fernando Benjamín PÉREZ MAURERA 0 Jan 19, 2022
Dense Gaussian Processes for Few-Shot Segmentation

DGPNet - Dense Gaussian Processes for Few-Shot Segmentation Welcome to the public repository for DGPNet. The paper is available at arxiv: https://arxi

37 Jan 07, 2023
This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

📈 Automated Time Series Forecasting Background: This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to gene

Zach Renwick 42 Jan 04, 2023
PyTorch Implementation of AnimeGANv2

PyTorch implementation of AnimeGANv2

4k Jan 07, 2023
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks)

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks) This repository contains a PyTorch implementation for the paper: Deep Pyra

Greg Dongyoon Han 262 Jan 03, 2023
Code for A Volumetric Transformer for Accurate 3D Tumor Segmentation

VT-UNet This repo contains the supported pytorch code and configuration files to reproduce 3D medical image segmentaion results of VT-UNet. Environmen

Himashi Amanda Peiris 114 Dec 20, 2022
Official implementation of VQ-Diffusion

Vector Quantized Diffusion Model for Text-to-Image Synthesis Overview This is the official repo for the paper: [Vector Quantized Diffusion Model for T

Microsoft 592 Jan 03, 2023
PyTorch wrapper for Taichi data-oriented class

Stannum PyTorch wrapper for Taichi data-oriented class PRs are welcomed, please see TODOs. Usage from stannum import Tin import torch data_oriented =

86 Dec 23, 2022
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

This is the original implementation of our paper, A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem (arXiv:1706.1

Zhengyao Jiang 1.5k Dec 29, 2022
Tensorflow python implementation of "Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos"

Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos This repository is the official tensorflow python implementation

Yasamin Jafarian 287 Jan 06, 2023
Trains an agent with stochastic policy gradient ascent to solve the Lunar Lander challenge from OpenAI

Introduction This script trains an agent with stochastic policy gradient ascent to solve the Lunar Lander challenge from OpenAI. In order to run this

Momin Haider 0 Jan 02, 2022
The world's simplest facial recognition api for Python and the command line

Face Recognition You can also read a translated version of this file in Chinese 简体中文版 or in Korean 한국어 or in Japanese 日本語. Recognize and manipulate fa

Adam Geitgey 46.9k Jan 03, 2023
Neon-erc20-example - Example of creating SPL token and wrapping it with ERC20 interface in Neon EVM

Example of wrapping SPL token by ERC2-20 interface in Neon Requirements Install

7 Mar 28, 2022
This demo showcase the use of onnxruntime-rs with a GPU on CUDA 11 to run Bert in a data pipeline with Rust.

Demo BERT ONNX pipeline written in rust This demo showcase the use of onnxruntime-rs with a GPU on CUDA 11 to run Bert in a data pipeline with Rust. R

Xavier Tao 14 Dec 17, 2022
BARTScore: Evaluating Generated Text as Text Generation

This is the Repo for the paper: BARTScore: Evaluating Generated Text as Text Generation Updates 2021.06.28 Release online evaluation Demo 2021.06.25 R

NeuLab 196 Dec 17, 2022