Search Results for "model based testing tool"

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 and Ali to complete text recognition locally. ...

MeshLab is an open-source, portable, and extensible system for the processing and editing of unstructured large 3D triangular meshes. It is aimed to help the processing of the typical not-so-small unstructured models arising in 3D scanning, providing a set of tools for editing, cleaning, healing, inspecting, rendering and converting this kind of meshes. MeshLab is mostly based on the open source C++ mesh processing library VCGlib developed at the Visual Computing Lab of ISTI - CNR. VCG can...

FFmate is a graphical utility designed to simplify the use of FFmpeg by providing an intuitive interface for building and executing multimedia processing commands. It allows users to perform tasks such as transcoding, trimming, and format conversion without needing to memorize command-line syntax. The tool dynamically generates FFmpeg commands based on user input, making complex workflows more accessible. It supports a wide range of audio and video formats, enabling flexible media processing. ffmate is designed for both beginners and advanced users, offering a balance between simplicity and customization. It can also be used for experimenting with encoding parameters and testing different configurations. ...

Live API Web Console is a React starter that demonstrates how to use Gemini’s Live API over WebSockets to build real-time, multimodal experiences. The app includes modules for streaming audio playback, recording user media from the microphone, webcam, or even screen capture, and it surfaces a unified event log so you can debug the session as it flows. Configuration lives in a simple .env file and the project boots with standard web tooling, letting you experiment quickly with models, system...

auto-subtitle is a Python-based command-line tool that automatically generates and overlays subtitles on video files using AI-driven speech recognition. It combines FFmpeg with OpenAI’s Whisper model to transcribe spoken audio into text and synchronize it with video playback. The tool processes video input, extracts audio, and produces subtitle files that can be either exported separately or burned directly into the final video output.