Deep Learning Aim Assistance

Requirements

• CMake 3.17.3 (Probably works on earlier versions too)
• Visual Studio 2019/22
• OpenCV 4.5.5 (C++)
  • Compiled with GPU support (Recommended)
• Windows
• CLion (Optional for easier building/running)

Building

Manually:

1. mkdir build
2. cd build
3. cmake ..
4. Open .sln in Visual Studio
5. Build all
6. Run

CLion:

1. Open project in CLion
2. Setup Visual Studio 2019/22 toolchain
3. Right click CMakeLists.txt
   1. Import/Reload CMake Project
4. Run

Configuration

By default the application builds to use the model_640.onnx file as that is the most accurate and fastest to run. Check /include/detector.h for swapping to the higher input resolution model, this will require changing INPUT_WIDTH, INPUT_HEIGHT, and ROWS to ensure proper loading and detections.

Running

1. Ensure config folder with models are next to built application
2. deeplearning.exe <name_of_program_to_capture>
   1. e.g deeplearning.exe Counter

Example