vidxp logo
vidxp
★ 59
vs
groundingLMM logo
groundingLMM
★ 969

vidxp vs groundingLMM

vidxp: VidXP is a local-first video search engine designed for people, applications, and AI agents. It enables users to search videos by what was said, what appeared on screen, and by identifying recurring faces within a video.; groundingLMM: GLaMM (Grounding Large Multimodal Model) is an end-to-end trained LMM capable of generating natural language responses integrated with object segmentation masks, enabling visual grounding and versatile interaction with images at multiple granularity levels. It introduces the novel task of Grounded Conversation Generation (GCG), supports various downstream applications like referring expression segmentation and region-level captioning, and is underpinned by the large-scale GranD dataset.

01

TL;DR

vidxp logo
vidxpVision / Multimodal · ★ 59

Search through years of personal or family videos to find specific moments.

groundingLMM logo
groundingLMMVision / Multimodal · ★ 969

Interactive visual assistants that understand and respond to user queries about specific image regions.

02

Side-by-Side Comparison

Field
vidxp logovidxp
groundingLMM logogroundingLMM
Category
Vision / Multimodal
Vision / Multimodal
Stars
★ 59
★ 969
License
MIT
Apache-2.0
Install Command
uv tool install --python 3.14 --torch-backend cpu "vidxp[local-worker,mcp]" && vidxp init && vidxp prepare && vidxp doctor
git clone https://github.com/mbzuai-oryx/groundingLMM.git
Updated
2d ago
1mo ago
Open Source
Yes
Yes
Tags
Video Search, Multimedia Indexing, AI Agents
Multimodal AI, Computer Vision, Natural Language Processing
03

Features

vidxp logovidxp
01Dialogue search for specific spoken words or phrases.
02Scene search based on visual descriptions of on-screen content.
03Actor matching to find and highlight recurring faces in videos.
04Ability to build reusable search libraries from single or multiple videos.
05Export downloadable clips and overlays from matching timestamps.
groundingLMM logogroundingLMM
01Generates natural language responses seamlessly integrated with object segmentation masks.
02Supports a novel Grounded Conversation Generation (GCG) task with comprehensive evaluation protocols.
03Performs detailed Region-Level Captioning and answers reasoning-based visual questions.
04Excels in Referring Expression Segmentation by creating segmentation masks from text-based queries.
05Provides high-quality Image Captioning and Conversational Style Question Answering.
04

Use Cases

vidxp logovidxp
↳Search through years of personal or family videos to find specific moments.
↳Integrate advanced video search capabilities into an existing video editing workflow.
↳Enable AI agents to answer questions using factual evidence directly from video libraries.
↳Automate video analysis and clip extraction through CLI or API for application integration.
↳Manage and organize large personal or project video collections with meaningful search.
groundingLMM logogroundingLMM
↳Interactive visual assistants that understand and respond to user queries about specific image regions.
↳Automated annotation tools for creating dense, pixel-level grounded datasets.
↳Advanced image analysis for tasks requiring both visual understanding and detailed textual descriptions with segmentation.
FAQ

FAQ

What is the difference between vidxp and groundingLMM?
Both vidxp and groundingLMM are in the Vision / Multimodal category. vidxp has 59 stars, while groundingLMM has 969 stars.
Which is better, vidxp or groundingLMM?
The best choice depends on your use case. Choose vidxp if Search through years of personal or family videos to find specific moments., and groundingLMM if Interactive visual assistants that understand and respond to user queries about specific image regions..
Is vidxp free or open source?
Yes, vidxp is open source on GitHub (MIT).
Is groundingLMM free or open source?
Yes, groundingLMM is open source on GitHub (Apache-2.0).
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