https://github.com/oaslananka/cv_cuda_cpp_sample
This is a sample project demonstrating how to use OpenCV and CUDA in C++ for detecting people in drone footage with YOLO. The project aims to be simple and understandable for those who want to learn how to use OpenCV and CUDA in C++.
https://github.com/oaslananka/cv_cuda_cpp_sample
computervision cpp cuda opencv
Last synced: about 2 months ago
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This is a sample project demonstrating how to use OpenCV and CUDA in C++ for detecting people in drone footage with YOLO. The project aims to be simple and understandable for those who want to learn how to use OpenCV and CUDA in C++.
- Host: GitHub
- URL: https://github.com/oaslananka/cv_cuda_cpp_sample
- Owner: oaslananka
- Created: 2024-06-28T23:34:16.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-04-18T22:52:59.000Z (about 1 year ago)
- Last Synced: 2026-03-07T17:45:18.995Z (4 months ago)
- Topics: computervision, cpp, cuda, opencv
- Language: C++
- Homepage:
- Size: 11.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# People Detection from Drone Footage
This is a sample project demonstrating how to use OpenCV and CUDA in C++ for detecting people in drone footage with YOLO. The project aims to be simple and understandable for those who want to learn how to use OpenCV and CUDA in C++.
## OpenCV Sources
- [OpenCV](https://github.com/opencv/opencv)
- [OpenCV Contrib](https://github.com/opencv/opencv_contrib)
## Sample Videos
Sample videos are taken from the link below:
- [Kaggle Drone Videos Dataset](https://www.kaggle.com/datasets/kmader/drone-videos/data)
## Build Instructions
Compile the project in release mode with CMake. The executable output will be placed directly in the project root folder.
### Prerequisites
- CMake
- OpenCV
- CUDA
- C++ Compiler
### Steps
1. Clone the repository:
```sh
git clone https://github.com/your_username/PeopleDetectFromDrone.git
cd PeopleDetectFromDrone
```
2. Create a build directory and navigate to it:
```sh
mkdir build
cd build
```
3. Run CMake to configure the project:
```sh
cmake ..
```
4. Compile the project:
```sh
cmake --build . --config Release
```
## Usage
- For argument help:
```sh
./OpenCV_Cuda_Cpp_Sample -h
```
- You can try it with any video by providing the arguments to the executable. Sample usage code is below:
```sh
./OpenCV_Cuda_Cpp_Sample -video=video.mp4 -device=0 -weights=yolo.weights -config=yolo.cfg -classes=coco.names
```