Showing 4 open source projects for "a-frame"

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  • 1
    Video-subtitle-extractor

    Video-subtitle-extractor

    A GUI tool for extracting hard-coded subtitle (hardsub) from videos

    Video hard subtitle extraction, generate srt file. There is no need to apply for a third-party API, and text recognition can be implemented locally. A deep learning-based video subtitle extraction framework, including subtitle region detection and subtitle content extraction. A GUI tool for extracting hard-coded subtitles (hardsub) from videos and generating srt files. Use local OCR recognition, no need to set up and call any API, and do not need to access online OCR services such as Baidu...
    Downloads: 58 This Week
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  • 2
    Paper2GUI

    Paper2GUI

    Convert AI papers to GUI

    ...让每个人都简单方便的使用前沿人工智能技术 Paper2GUI: An AI desktop APP toolbox for ordinary people. It can be used immediately without installation. It already supports 40+ AI models, covering AI painting, speech synthesis, video frame complementing, video super-resolution, object detection, and image stylization. , OCR recognition and other fields. Support Windows, Mac, Linux systems. Paper2GUI: 一款面向普通人的 AI 桌面 APP 工具箱,免安装即开即用,已支持 40+AI 模型,内容涵盖 AI 绘画、语音合成、视频补帧、视频超分、目标检测、图片风格化、OCR 识别等领域。支持 Windows、Mac、Linux 系统。
    Downloads: 3 This Week
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  • 3
    HunyuanOCR

    HunyuanOCR

    OCR expert VLM powered by Hunyuan's native multimodal architecture

    ...HunyuanOCR handles complex documents: multi-column layouts, tables, mathematical formulas, mixed languages, handwritten or stylized fonts, receipts, tickets, and even video-frame subtitles. The project provides code, pretrained weights, and inference instructions, making it feasible to deploy locally or on a server, and to integrate with applications.
    Downloads: 0 This Week
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  • 4

    CCTV Frame Timestamp Extractor

    CCTV Footage Timestamp Search Tool

    Python script to address the problem of manually locating required event timestamps from carved CCTV DVR footages. Full details can be found in the paper published in Eighteenth Annual IFIP WG 11.9 International Conference on Digital Forensics. Link to paper: https://link.springer.com/chapter/10.1007/978-3-031-10078-9_8 The project has been divided into four modules: Framextract.py- Extracts frames from video footages Reconstruct.py- Attempts to repair unplayable video by extracting...
    Downloads: 0 This Week
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