evo-pedestrian-vlm-counting
De la autor
Count unique pedestrians in surveillance video frames using Vision LLM APIs (OpenAI GPT-4o or Google Gemini) and write results to Excel. Use when you need to analyze surveillance footage for pedestrian counting, perform person re-identification across video frames, or generate Excel reports of pedestrian counts per video file. Supports both OpenAI and Gemini vision APIs with robust response parsing.
Instalare
npx skills add OpenLAIR/OpenSkill --skill evo-pedestrian-vlm-counting -a claude-code
Se instalează în .claude/skills/evo-pedestrian-vlm-counting/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
Vrei ca agentul să-ți propună skill-uri în timp ce scrii? Vezi cum folosești skill-urile din IDE.
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 75
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- molmograph-robots/open-robot-skillsVisual pointing and Q&A via the Molmo VLM served from a self-hosted vLLM endpoint (OpenAI-compatible API). Use when a workflow needs a single pixel coordinate for a named object (point_prompt) or Molmo-grade visual question answering and a vLLM server is available; for an API-only zero-GPU alternative use the gemini-er bundle.Inginerie★ 58
- evo-video-frame-extractionOpenLAIR/OpenSkillExtract and encode sampled frames from video files for vision AI analysis. Use when you need to process surveillance or other video files by extracting frames at regular intervals, converting them to base64-encoded JPEG images suitable for sending to vision LLM APIs. Handles video file discovery, temporal sampling, MoviePy 2.x resource management, and memory-safe batch processing.Media★ 97
- configuring-visionoxbshw/watch-skillThe user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models. Use this to configure provider-neutral visual understanding without tying Watch Skill to one agent or model vendor.Inginerie★ 528
- omni-flash-videouseapi/google-flow-apiGenerate AI video with Google's Omni 1.1 Flash (Gemini Omni Flash, audio-native video with spoken dialogue and voices) or Veo 3.1 through the useapi.net Google Flow API, on the user's Google AI subscription. Supports text-to-video, reference images of people or products, start and end frames, preset voices and video-to-video edits, and downloads the .mp4. Use when the user asks to make a video, clip, ad, talking-head, UGC or product video with Omni Flash, Gemini Omni, Veo 3.1 or Google Flow, or to automate Google Flow video from the command line. Needs curl, jq and a USEAPI_TOKEN environment variable.Media★ 61
- serving-llms-vllmKalarisLabs/research-agent-skillsServes LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.DevOps★ 65
- phoenix-observabilityKalarisLabs/research-agent-skillsOpen-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.DevOps★ 65
Note și recenzii
—
nicio recenzie
Ai încercat acest skill? Notează-l ca să-i ajuți pe alții. Autentifică-te
Discuție
Intră în discuție. Autentifică-te