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Title: DeepActionsExperimental - ROAD OBJECT DETECTION

⬇️ Download

Distribution Format Source
Ubuntu,kali,Debian,Udroid Deb Download Deep Action Experimental v1.0 alpha
Developer clone git clone https://github.com/Exploit0xfffff/PenetrationApp

👨🏿‍🔧👨🏿‍🔧 Ubuntu Installation 👨🏿‍🔧👨🏿‍🔧

sudo dpkg -i Deep-Actions-Experimental.deb
sudo apt --fix-broken install

🤽🏾🤽🏾 Uninstallation 🤽🏾🤽🏾

sudo apt remove deep-actions-experimental 

🔨🔨 Developers🔨🔨

    git clone https://github.com/Exploit0xfffff/Deep-Actions-Experimental
    cd Deep-Actions-Experimental
    pip install -r requirements.txt
    sudo apt-get install python3-gi python3-gi-cairo gir1.2-gtk-3.0
    cd main/
    python3 main.py

ui ->

image

Image Capture before ->

OIP (1)

Image Capture after ->

OIP (1)_output

Video Capture before ->

video.mp4

Video Capture after ->

https://drive.google.com/file/d/181Gdxq9ruSSTRAvR18yt7yFdWgrPmN_9/view?usp=sharing

live capture ->

Screenshot from 2023-06-12 21-20-33

Development Stages

If the project were to be reopened, the following additions and upgrades would be considered:

Integration of Google Maps and development of Google Lens functionality
Upgrading the home module
Mobile application development process
Upgrading to newer versions of libraries and frameworks

Please note that this project is my first foray into AI, and while I haven't extensively studied neural networks, I have implemented this project using libraries such as GTK (Graphical User Interface Toolkit), OpenCV (Open Source Computer Vision Library), the COCO (Common Objects in Context) dataset, and R-CNN (Region-based Convolutional Neural Network) connected to both CPU and GPU. The UI has been updated, and the latest modules have been incorporated into the project.

Feel free to explore the project and provide any feedback or suggestions. Contributions are always welcome!