halcon-socket-bridge

halcon-socket-bridge is a Computer vision skill for AI agents, published by KeploreAI-Lab in the MindAct repository on GitHub. Skillspace rates halcon-socket-bridge D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Use this skill whenever a user wants to run a deep learning model (YOLOv8, YOLOv9, segmentation, anomaly, classification) from HALCON with maximum speed using a direct TCP socket — NO disk I/O, NO HTTP overhead, NO curl, NO JSON file writing. This skill is the high-performance alternative to halcon-python-api-bridge. Use it when the user says: "socket", "faster than HTTP", "no disk IO", "real-time inference from HALCON", "low latency HALCON model", "send raw image bytes to Python", "TCP socket HALCON", or when they upload client_socket.hdev. The approach: HALCON sends raw pixel bytes over a persistent TCP socket; Python server runs the model and returns a compact space-delimited text response. Always use port 12002 for the first socket server.

Grade

D

Quality

62 / 100

Safety

Passed

GitHub stars

85

Unproven: rated by static analysis only, not yet compared head-to-head.

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