⬇️ 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 |
sudo dpkg -i Deep-Actions-Experimental.deb
sudo apt --fix-broken install
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 Capture before ->
Image Capture after ->
Video Capture before ->
video.mp4
Video Capture after ->
https://drive.google.com/file/d/181Gdxq9ruSSTRAvR18yt7yFdWgrPmN_9/view?usp=sharing
live capture ->
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!