• 10 min read
How to Use Your GPU in a Docker Container
Learn how to use your GPU in a Docker container and measure upir application's performance.
• 3 min read
How to Draw a Bounding Box with Python
In this post, we discuss how to use the Roboflow supervision library to draw and fill a bounding box in Python.
• 7 min read
What is ByteTrack? A Deep Dive.
Introduction
Detecting and tracking multiple objects in a video in real-time can be tricky. Luckily, the computer vision community has developed object-tracking algorithms to tackle this task over the years. These algorithms aim to identify and follow objects as they move through a video.
A great example of these algorithms
• 5 min read
Launch: Dedicated Deployments
When you deploy a computer vision model, you may want to have a dedicated server, or several servers, to which you can route requests to your vision model. This is ideal for workflows where you are processing images from a client (i.e. a web application), recorded videos, and more.
• 13 min read
How to Map User Inputs in Video Games with Computer Vision
Gaming is one of the most popular pastimes in the world, offering exciting experiences and endless entertainment from the comfort of your home.
Using computer vision, we are able to analyze our inputs that otherwise would be difficult to track. For example, you could use computer vision to build an
• 7 min read
How to Build a Reading Assistant with AI
Readers can face trouble when encountering new, unfamiliar words. With advancements in computer vision, we can develop innovative solutions that can aid readers in overcoming these hurdles.
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In this article, we cover how to use object detection and optical character recognition (OCR) models to create
• 5 min read
How to Deploy Hugging Face Models with Roboflow
Hugging Face is an online community with AI models available for download. You can deploy select computer vision models hosted on Hugging Face with Roboflow Inference, a high-performance inference server for computer vision applications.
This guide will show you how you can download models from Hugging Face and deploy them
• 7 min read
Ball Tracking in Sports with Computer Vision
Ball tracking is crucial for AI systems to analyze sports effectively, but it's challenging due to factors like the ball's small size, high velocity, complex backgrounds, similar-looking objects, and varying lighting. This tutorial will teach you how to overcome these challenges.
• 5 min read
How to Use GPT-4 To Extract Handwritten Text from Images
This guide walks you through the process of building, training, and deploying a custom computer vision workflow using OpenAI and Roboflow. The process is broken down into three steps:
* Building the model
* Connecting the model to a Workflow
* Writing code to get the outputs
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Through
• 19 min read
How to Monitor Productivity with Eye Tracking
Focusing is hard. In recent years, the amount of distractions available to us has been increasing, and we often lose track of how much we are distracted.
To help myself stay engaged, I created a project that accurately tracks how many times I'm distracted in a certain period
• 14 min read
Predicting the Optimal Connect 4 Move with Computer Vision
In this blog post, our goal is to explore the intersection of computer vision and game theory through the lens of a familiar classic: Connect 4.
We'll be crafting an application that uses computer vision to recognize Connect 4 pieces on the board and employs the minimax algorithm
• 7 min read
Deploy and Monitor Computer Vision Models in Any Cloud with Roboflow and SkyPilot
Learn how to deploy computer vision models in any cloud using Roboflow and Skypilot.
• 3 min read
How to Use OCR on Videos
In this guide, we cover the process of how to use OCR on videos together with computer vision to solve real-world problems.
• 8 min read
Build a Gesture-Based Light Controller with Computer Vision
Learn how to build a gesture-based light controler using computer vision
• 6 min read
First Impressions with the Claude 3 Opus Vision API
The Roboflow team ran several computer vision tests using the Claude 3 Opus Vision API. Read our results.
• 9 min read
Build an Image Search Engine with CLIP using Intel Gaudi2 HPUs
Learn how to use the Intel Gaudi2 chip to build an image search engine with CLIP embeddings.
• 6 min read
Launch: Train and Deploy YOLO-NAS Models on Roboflow
Learn how to train a YOLO-NAS model on Roboflow and host the model on your own hardware.
• 4 min read
Broadcast Computer Vision Predictions with Apache Kafka
Learn how to broadcast predictions from a computer vision model to an Apache Kafka receiver.
• 4 min read
How to Broadcast Computer Vision Predictions Over MQTT
Learn how to broadcast computer vision predictions over the MQTT protocol.
• 5 min read
Run Computer Vision Models on a RTSP Stream on a NVIDIA Jetson Orin Nano
The Roboflow Inference Pipeline is a drop-in replacement for the Hosted Inference API that can be deployed on your own hardware. The Inference Pipeline interface is made for streaming and is likely the best route to go for real time use cases. It is an asynchronous interface that can consume
• 4 min read
Use an Image Classification API to Classify Images
Learn how to use the CLIP-powered Roboflow image classification API to assign labels to images.
• 4 min read
How to Use a Product Recognition API
Learn how to use the Roboflow product recognition API to identify the presence or absence of products on a retail shelf.
• 3 min read
How to Use an Image Captioning API
In this guide, learn how to set up and use an image captioning API that you can use to programmatically generate image captions.
• 5 min read
Deploy a Wood Surface Inspection System
In this guide, learn how to use a wood surface inspection system to identify defects on wood.
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