Showing 5 open source projects for "object counter image processing"

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  • 1
    Benthos

    Benthos

    Fancy stream processing made operationally mundane

    Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads. It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. Delivery guarantees can be a dodgy subject. Benthos processes and...
    Downloads: 3 This Week
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  • 2
    MetalPetal

    MetalPetal

    A GPU accelerated image and video processing framework built on Metal

    MetalPetal is an image processing framework based on Metal designed to provide real-time processing for still images and video with easy-to-use programming interfaces. This chapter covers the key concepts of MetalPetal, and will help you to get a better understanding of its design, implementation, performance implications, and best practices. A MTIImage object is a representation of an image to be processed or produced.
    Downloads: 0 This Week
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  • 3
    TensorFlow Object Counting API

    TensorFlow Object Counting API

    The TensorFlow Object Counting API is an open source framework

    The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the...
    Downloads: 0 This Week
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  • 4
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing...
    Downloads: 0 This Week
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  • 5
    Gallop

    Gallop

    A framework for build smooth asynchronous iOS APP

    Gallop is a powerful rich text framework that supports Asynchronous display. It encapsulates CoreText's rich text functions and commonly used image processing capabilities. just need use LWTextStorage object instead of UILabel object and use LWImageStorage object instead of UIImageView object,Gallop will make sure your app scroll smoothly. You can also use Gallop to parse HTML pages and customize machining to parse HTML pages into iOS native pages. Use Gallop Building complex rich text interface application, can get a great experience. ...
    Downloads: 0 This Week
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