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A TensorFlow Serving-based Method for Deploying Intelligent Algorithms for Unmanned Craft

To address the problems of difficult automation of intelligent algorithm deployment, low deployment efficiency, and high requirements for the configuration environment on the craft-side, a complete intelligent algorithm deployment method from the intelligent platform to the craft-side is designed and implemented. Based on the TensorFlow Serving service and the Docker open source container engine, it automates the deployment of intelligent algorithms and model version management, and reduces the system overhead on the craft-side.