Showing 4 open source projects for "objects detection"

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    RestSharp

    RestSharp

    Simple REST and HTTP API Client for .NET

    RestSharp is probably the most popular HTTP client library for .NET. Featuring automatic serialization and deserialization, request and response type detection, variety of authentications and other useful features, it is being used by hundreds of thousands of projects. RestSharp passed over 32 million downloads on NuGet, with average daily download count of 10,000. It's being used by many popular OSS projects, including Roslyn and Swagger. The main purpose of RestSharp is to make synchronous...
    Downloads: 4 This Week
    Last Update:
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  • 2
    DDPM-CD

    DDPM-CD

    Remote sensing change detection using denoising diffusion models

    This is the Pytorch implementation of Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models. The generated images contain objects that we commonly see in real remote sensing images, such as buildings, trees, roads, vegetation, water surfaces, etc., demonstrating the powerful ability of the diffusion models to extract key semantics that can be further used in remote sensing change detection.
    Downloads: 1 This Week
    Last Update:
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  • 3
    XL-Parser

    XL-Parser

    XL-Parser is a tool for data extraction and analysis.

    XL-Parser provides a bunch of functions for data extraction and analysis. It also provides web log analysis features like a tool for detection of suspicious activities. More details and screenshots on http://le-tools.com.
    Downloads: 6 This Week
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  • 4
    FastQR

    FastQR

    A Fast QR code detector for arbitrarily acquired images

    Applications of Quick Response (QR) codes enable rich context interaction through creation of links between physical objects and internet resources. In spite of the widespread use of this kind of barcode, applications for visually impaired people and robots are not common because existing decoders assume that the symbol is properly framed during image acquisition. This project implements a two-stage component-based approach to perform accurate detection of QR code symbols in arbitrarily acquired images. ...
    Downloads: 0 This Week
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