Showing 4 open source projects for "open cv2"

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  • 1
    Lama Cleaner

    Lama Cleaner

    Image inpainting tool powered by SOTA AI Model

    ... their work. Completely free and open-source, fully self-hosted, supports CPU & GPU. Windows 1-Click Installer, classical image inpainting algorithm powered by cv2. Multiple SOTA AI models, and various inpainting strategies. Run as a desktop application. Interactive Segmentation on any object.
    Downloads: 29 This Week
    Last Update:
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  • 2
    Image-Editor

    Image-Editor

    AI based photo editing website for changing image background

    ...' with the name of your choice. Image-Editor uses Python's cv2 library, which provides an easy and efficient way to work with images and videos, including a wide range of image processing and computer vision algorithms. With cv2, you can easily read, write, filter, and display images, and much more. Image-Editor uses Mediapipe's selfie_segmentation model for background removal in real-time video streams. This advanced model uses deep neural networks to detect and remove the background.
    Downloads: 14 This Week
    Last Update:
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  • 3
    Transparent Background

    Transparent Background

    This is a background removing tool powered by InSPyReNet

    This is a background-removing tool powered by InSPyReNet (ACCV 2022). You can easily remove the background from the image or video or bunch of other stuffs when you can make the background transparent! We basically follow the virtual camera settings from pyvirtualcam. If you do not choose to install virtual camera, it will visualize real-time output with cv2.imshow. Use another checkpoint file. Default is trained with composite dataset and will be automatically downloaded if not available.
    Downloads: 1 This Week
    Last Update:
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  • 4
    adetailer

    adetailer

    YOLOv8/YOLOv9-based detector for face, hand, person, and fashion data

    adetailer is a collection of YOLOv8 and YOLOv9 object detection models optimized for detecting detailed features such as faces, hands, clothing, and full-body silhouettes. Developed by Bingsu using the Ultralytics YOLO framework, the models are trained on a variety of datasets including WIDER Face, DeepFashion2, and anime segmentation sets. It supports a wide range of detection targets from realistic human faces and hands to anime characters and fashion garments. The models come in various...
    Downloads: 0 This Week
    Last Update:
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