Showing 2 open source projects for "video format conversion"

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    VGGSfM

    VGGSfM

    VGGSfM: Visual Geometry Grounded Deep Structure From Motion

    ...The system combines learned feature matching and geometric optimization to generate high-quality camera calibrations, sparse/dense point clouds, and depth maps in standard COLMAP format. Version 2.0 adds support for dynamic scene handling, dense point cloud export, video-based reconstruction (1000+ frames), and integration with Gaussian Splatting pipelines. It leverages tools like PyCOLMAP, poselib, LightGlue, and PyTorch3D for feature matching, pose estimation, and visualization. With minimal configuration, users can process single scenes or full video sequences, apply motion masks to exclude moving objects, and train neural radiance or splatting models directly from reconstructed outputs.
    Downloads: 1 This Week
    Last Update:
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  • 2
    NeuralTalk2

    NeuralTalk2

    Efficient Image Captioning code in Torch, runs on GPU

    ...It supports fine-tuning the underlying CNN instead of relying only on fixed visual features. Training and evaluation tools are included for datasets such as MS COCO. The repository also contains visualization utilities, checkpoint conversion tools, and experimental video-captioning code. It is now primarily preserved as an educational implementation of an influential neural image-captioning architecture.
    Downloads: 0 This Week
    Last Update:
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