{"skill":{"slug":"tencentcloud-faceid-analyzedenselandmarks","displayName":"tencentcloud-faceid-analyzedenselandmarks","summary":"腾讯云稠密人脸关键点(AnalyzeDenseLandmarks)接口调用技能。当用户需要对人脸图片进行稠密关键点定位时，应使用此技能。可返回人脸框坐标，以及人脸各部位（眼睛、眉毛、嘴巴、鼻子、瞳孔、中轴线、下巴、眼袋、额头）的稠密轮廓关键点坐标。支持图片Base64和图片URL两种输入方式。","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":381,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1773393196457,"updatedAt":1778491876821},"latestVersion":{"version":"1.0.0","createdAt":1773393196457,"changelog":"Initial release of the tencentcloud-faceid-analyzedenselandmarks skill:\n\n- Provides access to Tencent Cloud's dense face keypoint (AnalyzeDenseLandmarks) API.\n- Returns coordinates of dense facial landmarks for features such as eyes, eyebrows, mouth, nose, pupils, midline, chin, eye bags, and forehead.\n- Supports up to 5 faces per image and accepts both image URL and Base64 input.\n- Includes usage instructions, parameter details, and example command-line usage.\n- Requires Python 3.6+ and the tencentcloud-sdk-python package.","license":"MIT-0"},"metadata":null,"owner":{"handle":"xiaoqiangjava","userId":"publishers:xiaoqiangjava","displayName":"xiaoqiangjava","image":"https://avatars.githubusercontent.com/u/28345639?v=4"},"moderation":null}