tencentcloud-faceid-analyzedenselandmarks：在 Agent 中调用腾讯云稠密人脸关键点
介绍 SkillHub 技能 tencentcloud-faceid-analyzedenselandmarks（@tencent-adm/tencentcloud-faceid-analyzedenselandmarks，v1.0.0）。由腾讯云慧眼人脸核身团队发布，封装 FaceID AnalyzeDenseLandmarks 接口，可返回人脸框及眼、眉、口、鼻、瞳孔、中轴线、下巴、眼袋、额头等稠密轮廓点，支持图片 Base64 与 URL。说明 skillhub 安装路径、requires_api_key 注意点及典型对话式用法，并给出官方与 SkillHub 链接。
Read MoreFace Landmark Detection Model MTCNN Implemented with PaddlePaddle
The article introduces the process of using MTCNN (Multi-Task Convolutional Neural Network) for face detection, which includes three hierarchical networks: P-Net, R-Net, and O-Net. P-Net is used to generate candidate windows, R-Net performs precise selection and regresses bounding boxes and key points, while O-Net further refines the output to get the final bounding box and key point locations. The project source code is hosted on GitHub and implemented using PaddlePaddle 2.0.1. The model training consists of three steps: first, training the PNet to generate candidate windows; then, using PNet data to train the RNet for... (Note: The original Chinese text appears to be truncated at this point; the translation continues as per the provided content.)
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