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Found 2 Skills
Metric-learning recognition (ml-recog) for fine-grained visual recognition. Learns embeddings for retrieval-based matching (e.g., retail product recognition) using triplet / contrastive losses. Use when training, evaluating, exporting, or running inference for a TAO metric-learning recognition model. Trigger phrases include "train metric learning", "ml-recog", "retrieval embeddings", "triplet loss recognition", "fine-grained matching".
Cross-platform operating system automation and screen control toolkit. Use when users need screenshots, mouse/keyboard control, visual recognition, window management, browser automation, or desktop automation tasks. Supports macOS 12+ and Windows 10+. On macOS, uses AppleScript, pyautogui, and OpenCV. On Windows, uses pywinauto, pyautogui, and OpenCV (no Hammerspoon equivalent).