cvrest

Cvrest

cvrest is an open-source computer vision REST API that allows you to easily add AI-powered image and video analytics to your applications. It provides REST endpoints for object detection, classification, face recognition, and more using state-of-the-art computer vision models.
cvrest image
rest-api object-detection image-classification face-recognition

cvrest: Open-Source Computer Vision REST API

cvrest is an open-source computer vision REST API that allows you to easily add AI-powered image and video analytics to your applications. It provides REST endpoints for object detection, classification, face recognition, and more using state-of-the-art computer vision models.

What is Cvrest?

cvrest is an open-source computer vision REST API built using the OpenCV library in Python. It allows developers to easily add AI-powered image and video analytics to their applications without needing to train or host deep learning models.

Some key features of cvrest include:

  • REST API endpoints for object detection, image classification, face recognition, pose estimation and more
  • Pre-trained models like YOLOv3 for object detection and ResNet for image classification
  • Containerized application that can be easily deployed using Docker
  • Modular design allowing integration of custom deep learning models
  • Annotation endpoints to get model predictions bounding boxes
  • Image utilities like rescale, crop, flip etc.

By providing a simple REST API abstraction over computer vision models, cvrest makes it easy to integrate these capabilities into web, mobile and other applications. The pre-trained models can detect a wide variety of objects fairly accurately out-of-the-box. Developers can also bring their own custom models and integrate them easily.

Overall, for any application that needs to analyze images or videos, cvrest offers an easy way to leverage state-of-the-art computer vision techniques through a simple REST API.

Cvrest Features

Features

  1. Object detection
  2. Image classification
  3. Face recognition
  4. Video analysis
  5. REST API

Pricing

  • Open Source

Pros

Open source

Easy to integrate

Scalable

State-of-the-art CV models

Cons

Requires setup and hosting

Limited to predefined models and endpoints

May need GPU for real-time processing


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