Overview
Description
OpenCV is an open source computer vision library that contains image processing functions that can be used for comparison with reference images, extraction of license plates and so on, and is used in a wide range of fields such as smart factory and smart infrastructure. OpenCV Accelerator utilizes Renesas unique hardware DRP suitable for image processing as an image processing accelerator, and it improves user system performance by accelerating OpenCV image processing.
Features
- Easy to use
- OpenCV compatible API allows you to develop your application software without hardware knowledge.
- Performance
- Get better performance by using dedicated hardware accelerator for image processing.
- CPU off-load
- Reduce CPU load by processing image with dedicated hardware accelerator.
Description
OpenCV Accelerator performs part of the function provided by OpenCV with image processing accelerator DRP automatically, allowing you to accelerate image processing and reduce CPU load. The interface is compatible with OpenCV, so hardware knowledge is not needed. Open source application software and existing application software that uses OpenCV can be used without any changes and can be accelerated.
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Functions and Capabilities
OpenCV Accelerator functions provided and their main capabilities.
| Function | Description |
|---|---|
| cv::resize | Resize an image |
| cv::cvtColor (YUV2RGB) | Change color space YUV to RGB |
| cv::cvtColorTwoPlane (YUV2RGB_NV12) | Change color space NV to RGB |
| cv::GaussianBlur | Gaussian filter |
| cv::dilate | Dilates an image |
| cv::erode | Erodes an image |
| cv::morphologyEx | Morphological transformations |
| cv::filter2D | Convolves an image |
| cv::sobel | Sobel filter |
| cv::adaptiveThreshold | Adaptive threshold |
| cv::matchTemplate | Compares a template against overlapped image regions |
| cv::warpAffine | Affine transformation |
| cv::warpPerspective | Perspective transformation |
| cv::pyrDown | Blurs an image and downsamples |
| cv::pyrUp | Upsamples an image and then blurs |
Image
Performance measurement conditions:
- RZ/V2MA CPU (Cortex®-A53 Dual 996MHz)
- Input image resolution is FHD (1920x1080). Processing time depends on setting parameters.
Example of OpenCV Usage
The following example is of appearance inspection in a production line by extracting and checking printed text by image processing using OpenCV. In the following example, Binarization Adaptive and Dilate are performed with OpenCV Accelerator, and Cropping, Find Contours and checking printed text are performed with the CPU. By using OpenCV Accelerator, part of image processing can be accelerated, so the total processing time can shortened. Furthermore, it is possible to achieve better performance through parallel processing of OpenCV Accelerator and the CPU.
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Software List
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| RZ/V2MA OpenCV Accelerator Support Package [V1.40] This product provides OpenCV Accelerator Support Package for RZ/V2MA.
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Software Package | Renesas |
| RZ/V2L OpenCV Accelerator Support Package [V1.10] This product provides OpenCV Accelerator Support Package for RZ/V2L.
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Software Package | Renesas |
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