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Real-time pose estimation accelerated with NVIDIA TensorRT
Simple python WebUI for fine-tuning ChatGPT (gpt-3.5-turbo)
Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
Use computer vision inference in the Intel® Distribution of OpenVINO™ toolkit to provide analytics on customer engagement, store traffic, and shelf inventory.
Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
Observe workers as they pass in front of a camera to determine if they have adequate safety protection.
Natural language for repeating dates
Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.
🌎 Live Demo with ⚡ PowerGrid examples
Build a solution to analyze customer expressions and reactions to product advertising collateral that is positioned on retail shelves.
Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.
Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert.
Monitor three different streams of video that count people inside and outside of a facility. This application also counts product inventory.
Receive or post information on available parking spaces by tracking how many vehicles enter and exit a parking lot.
Secure work areas and send alerts if someone enters the restricted space.
Run multiple independent anomaly detection (object flaws and motor defects) workloads on a single system via multiple virtual machines using a Kernel-based Virtual Machine (KVM) host.
Detect various irregularities of a product as it moves along a conveyor belt.
Use a visual heat or motion map to count the number of people that enter and exit a store, factory, or warehouse aisle.
Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.
Detect various irregularities of a product as it moves along a conveyor belt.
Elara enables creating a Windows/MacOS like window manager experience inside a web browser. This JavaScript library is written with performances and compatibility in mind. No third-party libraries or frameworks are needed to use Elara. Open the live demo to try it yourself.
Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.
Build a solution to analyze customer expressions and reactions to product advertising collateral that is positioned on retail shelves.
Detect loss at self-checkout by seamlessly connecting different sensor devices, including weight scale sensors, cameras, and RFIDs.
"LeetCodeReputationRank" shows the top 500 LeetCode users with the highest reputation.
Detect the mood of shoppers as they look at a retail or kiosk display.
Build a solution that recognizes people within a specific area and measures the distance between them. Get an alert if the distance is less than a specified amount.
The Django Blog Platform is a comprehensive web application designed for blogging purposes, built with Django framework. It empowers users with a range of functionalities including user authentication, profile management, and content creation.
Welcome to our Social Media Platform! This platform, powered by Django, allows users to interact, share content, and connect with others.
Determine the demographics of an audience using the Intel® Distribution of OpenVINO™ toolkit, and then adjust the ads to match the audience.
Use a visual heat or motion map to count the number of people that enter and exit a store, factory, or warehouse aisle.
Observe workers as they pass in front of a camera to determine if they have adequate safety protection.
Monitor three different streams of video that count people inside and outside of a facility. This application also counts product inventory.
Segment brain tumors in raw MRI images by applying the U-Net architecture.
Implement and use Intel® hardware platforms for video decoding, encoding, and optimization using various media stacks.
Deploy sensor fusion technology for an automated checkout that enables real-time insight about the products consumers are buying using the EdgeX Foundry* extensible framework.