CLIP4Clip: Video Clip Retrieval
CLIP4Clip enables video clip retrieval by leveraging the CLIP model for end-to-end multimodal search, allowing founders to find specific video clips based on text or image queries.
- •When building a video search engine that requires accurate clip retrieval based on textual or visual inputs
- •For applications where multimodal search is crucial, such as video recommendation systems or content moderation platforms
- •In multimedia analysis tasks where identifying specific moments within videos is necessary
python test.py --cfg configs/clip4clip.yaml --query 'a person riding a bike' --video_path 'path/to/video.mp4'
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/clip4clip && curl -fsSL https://workflowstacks.com/api/skills/clip4clip/claude-skill -o ~/.claude/skills/clip4clip/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
CLIP4Clip: Video Clip Retrieval is a medium Python project (~5.1k lines across 20 code files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit 29 months ago, MIT license, no tests found.
- 1README.mdStart here — what it does and how to install it
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/clip4clip && curl -fsSL https://workflowstacks.com/api/skills/clip4clip/claude-skill -o ~/.claude/skills/clip4clip/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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