{"repo":"SphinxNumberNine/valoscribe","free":true,"listed":false,"github":"https://github.com/SphinxNumberNine/valoscribe","clone":"git clone https://github.com/SphinxNumberNine/valoscribe.git","description":"Automated Valorant VOD analysis tool using computer vision and OCR. Extracts structured game events (kills, abilities, rounds) and player states (health, armor, abilities) from professional match broadcasts. Built for esports analytics and machine learning.","language":"Python","stars":10,"topics":["computer-vision","data-pipeline","machine-learning","valorant"],"license":"MIT","category":"machine-learning","readme_excerpt":"Valoscribe Automated Valorant VOD analysis tool for extracting structured game events and player states from match videos. Valoscribe uses computer vision and OCR to convert Valorant esports VODs into structured data, enabling analytics, highlight generation, and machine learning applications. Overview Valoscribe processes YouTube VODs of professional Valorant matches to extract: - Game Events - Match start/end, round start/end, kills, deaths, ability usage, ultimate casts, spike plants - Player States - Frame-by-frame tracking of health, armor, shields, abilities, ultimate charge for all 10 players - Match Metadata - Team names, player names, agents, starting sides (scraped from VLR.gg) The system leverages the spectator HUD used in professional broadcasts, which displays comprehensive real-time information for all players simultaneously. Demo Watch a 1-minute demo showing real-time event detection on a live round: ▶️ Watch Demo on YouTube The demo shows the terminal output side-by-side with the game footage, displaying events as they're detected (kills, abilities, round transitions, player states). Key Features - Fully Automated - Provide a VLR.gg match URL, get structured event logs and frame states - VLR.gg Integration - Automatic scraping of match metadata (teams, players, agents, maps) - YouTube Support - Direct VOD download with timestamp support for individual maps - Phase Detection - Intelligent state machine for detecting preround, active round, and post-round phase","default_branch":null,"files":null,"tree":[],"storefront":"/r/SphinxNumberNine","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/SphinxNumberNine/valoscribe/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}