Sold by: OpenCV
Deployed on AWS
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Cloud Optimized OpenCV delivers a high-performance build of OpenCV, enabling faster computation of core computer vision operations such as resize, adaptive gaussian, contour detection functions. This optimized edition is designed for accelerated computer vision workloads on AWS Graviton and ARM-based environments, helping developers achieve improved efficiency for AI, ML, and image processing applications.
Overview
Cloud Optimized OpenCV is a high-performance distribution of OpenCV, designed specifically for ARM-based environments such as AWS Graviton. Built with Kleidicv optimizations, this edition delivers significant speedups for fundamental computer vision operations, including resize, resize, adaptive gaussian, contour detection functions and more. These enhancements allow developers and enterprises to process images and video streams more efficiently, making it ideal for AI, machine learning, robotics, and real-time analytics. By leveraging hardware-aware optimizations, OpenCV Graviton Optimized reduces computational overhead and ensures better utilization of ARM-based processors. This results in faster execution, lower latency, and improved scalability across a wide range of vision workloads. Whether you are deploying applications in the cloud, on the edge, or in embedded systems, this build provides a reliable foundation for high-throughput computer vision pipelines. With its lightweight and performance-focused design, Cloud Optimized OpenCV helps teams accelerate development cycles while lowering infrastructure costs. From prototyping AI models to deploying production-grade computer vision systems, this edition combines the flexibility of OpenCV with the efficiency of Kleidicv-powered optimizations, giving you the best of both worlds.
Highlights
- Optimized for ARM based AWS Graviton processors and accelerated OpenCV build with Kleidicv enhancements along with further tuning of parallelization for high-performance computer vision workloads.
- Faster core operations and significant speedups for functions mostly used in pre and post image/video processing pipelines
Details
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Delivery method
Delivery option
64-bit (Arm) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04 LTS
Deployed on AWS
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Pricing
Free trial
Try this product free for 7 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
c6g.2xlarge Recommended | $0.02 |
c6gn.medium | $0.01 |
m6gd.xlarge | $0.01 |
m6g.8xlarge | $0.08 |
m6g.large | $0.01 |
m6gd.12xlarge | $0.15 |
m6gd.2xlarge | $0.02 |
m6gd.4xlarge | $0.04 |
c6g.medium | $0.01 |
c6g.8xlarge | $0.06 |
Vendor refund policy
We offer a 7-day free trial to allow full testing of the software before purchase. Because you can test the product extensively for free, we do not offer refunds once a paid subscription begins.
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Delivery details
64-bit (Arm) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Version 1.0
We are pleased to introduce the first release of OpenCV Graviton Optimized. This edition is built specifically for ARM-based environments such as AWS Graviton, with Kleidicv-powered optimizations to deliver faster performance and lower latency for core computer vision workloads.
Key features in v1.0:
Optimized performance for AWS Graviton 2 processors.
Accelerated implementations of core operations
Hardware-aware optimizations using Kleidicv for reduced computational overhead.
Lightweight and scalable design, suitable for cloud, edge, and embedded deployments.
Ideal for AI/ML, robotics, and real-time video or image analytics.
This foundation release provides a reliable and high-performance base for building and deploying advanced computer vision applications while reducing infrastructure costs.
Additional details
Usage instructions
Launch the AMI
After subscribing, launch an EC2 instance using this AMI.
Recommended instance type: c6g.2xlarge (or larger) for performance on AWS Graviton.
Connect to the instance
Ensure your security group allows inbound SSH on port 22.
Use the default Ubuntu username:
ssh -i <your-key.pem> ubuntu@<public-ip>
Verify installation
OpenCV Graviton Optimized is preinstalled. Check with:
python3 -c "import cv2; print(cv2.version)"
Run accelerated workloads Example: python3 - <<'EOF' import cv2 img = cv2.imread("test.jpg") out = cv2.resize(img, (640, 480)) cv2.imwrite("out.jpg", out) EOF
Notes
Built on Ubuntu 24.04 LTS.
C++ binaries are also available and pre-installed
Best suited for AI/ML, image processing, and real-time analytics on ARM-based EC2 instances.
Support
Vendor support
Email: gursimar@opencv.org or support@opencv.org Contact:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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