4 projects for "video image extractor" with 2 filters applied:

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  • 1
    SimpleTuner

    SimpleTuner

    A general fine-tuning kit geared toward image/video/audio diffusion

    SimpleTuner is an open-source toolkit designed to simplify the fine-tuning of modern diffusion models for generating images, video, and audio. The project focuses on providing a clear and understandable training environment for researchers, developers, and artists who want to customize generative AI models without navigating complex machine learning pipelines. It supports fine-tuning workflows for models such as Stable Diffusion variants and other diffusion architectures, enabling users to...
    Downloads: 6 This Week
    Last Update:
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  • 2
    ComfyUI-3D-Pack

    ComfyUI-3D-Pack

    An extensive node suite that enables ComfyUI to process 3D inputs

    ...ComfyUI itself is a node-based interface for designing and executing generative AI pipelines, and this extension expands its capabilities by introducing nodes specifically designed for working with three-dimensional data. The package allows the platform to process inputs such as meshes and UV textures and integrate them into generative workflows similar to those used for image and video generation. It incorporates modern 3D generation technologies including neural radiance fields, Gaussian splatting, and other AI-driven reconstruction techniques. Through these nodes, users can convert images into 3D models, manipulate geometry, and experiment with generative 3D workflows inside the visual pipeline editor.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Computer vision projects

    Computer vision projects

    computer vision projects | Fun AI projects related to computer vision

    ...The repository provides examples that combine machine learning models with real-world applications such as robotic arms, video analysis, and automated visual measurement systems.
    Downloads: 3 This Week
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  • 4
    YoloV3 Implemented in TensorFlow 2.0

    YoloV3 Implemented in TensorFlow 2.0

    YoloV3 Implemented in Tensorflow 2.0

    YoloV3 Implemented in TensorFlow 2.0 is built using TensorFlow 2.0. The project provides a modern deep learning implementation of the popular YOLOv3 algorithm, which is widely used for real-time object detection in images and video streams. YOLOv3 works by dividing an image into grid regions and predicting bounding boxes and class probabilities simultaneously, allowing objects to be detected quickly and efficiently. The repository includes training scripts, inference tools, and configuration files that make it possible to train custom object detection models on user-defined datasets. ...
    Downloads: 0 This Week
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