Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/wxxz975/OpenVINO-Deploy
OpenVINO-Deploy aims to implement popular AI models' inference deployment with OpenVINO written in C++, with a primary focus on object detection algorithms.
https://github.com/wxxz975/OpenVINO-Deploy
Last synced: about 18 hours ago
JSON representation
OpenVINO-Deploy aims to implement popular AI models' inference deployment with OpenVINO written in C++, with a primary focus on object detection algorithms.
- Host: GitHub
- URL: https://github.com/wxxz975/OpenVINO-Deploy
- Owner: wxxz975
- License: apache-2.0
- Created: 2024-03-29T14:30:41.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-04-13T15:27:10.000Z (7 months ago)
- Last Synced: 2024-08-01T21:46:46.305Z (3 months ago)
- Language: C++
- Homepage:
- Size: 48.8 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-openvino - OpenVINO-Deploy - A repository showcasing the deployment of popular object detection AI algorithms using the OpenVINO C++ API for efficient inference. (Table of content / AI Computer Vision)
README
# OpenVINO-Deploy
OpenVINO-Deploy aims to implement popular AI models' inference deployment with OpenVINO written in C++, with a primary focus on object detection algorithms.
## Test Environment
1. OpenVINO 2023.3.0
2. OpenCV 4.2.0
3. Ubuntu 20.04
## Models
Following models are implemented.
|Name | Description|
|-|-|
|[yolov3](./yolov3/)| A fast and accurate real-time object detection algorithm that can detect multiple objects in an image or video stream with high efficiency.|
|[yolov5](./yolov5/)| A fast, accurate, and user-friendly real-time object detection algorithm.|
|[yolov7](./yolov7/)| A cutting-edge real-time object detection model delivering exceptional accuracy and speed. |
|[yolov8](./yolov8/)| An enhanced YOLO object detection model with improved performance and flexibility.|
|[yolov9](./yolov9/)| Paper yolov9 Implement, Learning What You Want to Learn Using Programmable Gradient Information.|
|[rt-detr](./rtdetr/)| RT-DETR is a real-time object detection model that leverages transformers for efficient and accurate performance. |
## Quick Start
1. Clone this repo
```bash
git clone https://github.com/wxxz975/OpenVINO-Deploy.git
```
2. Create Build Directory
```bash
mkdir build && cd build
```
3. Build All
```bash
cmake .. && make -j$(nproc)
```
Then, you will find executable files for demos in this build directory.
---
***The onnx models exported by the experiment can be found on [BaiduCloud](https://pan.baidu.com/s/1vCOleM0AEdTaI3gF39bgxw?pwd=wxxz)***
## TODO List
- [x] yolov3
- [x] yolov3-spp
- [x] yolov3-tiny
- [ ] yolop
- [ ] yolov4
- [x] yolov5
- [x] yolov7
- [x] yolov8
- [x] yolov9
- [ ] detr
- [x] rt-detr
- [ ] ssd
- [ ] faster-rcnn