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balanced-mixup代码复现. 原论文: [MICCAI 2021]Balanced-MixUp for Highly Imbalanced Medical Image Classification.
基于ncnn部署1MB轻量级人脸检测模型+106人脸关键点
基于ncnn部署目标检测模型mobilenet-ssd。
基于ncnn部署轻量级人脸检测模型retinaface0.25
基于ncnn的scrfd人脸检测安卓demo,增加106人脸关键点检测模型推理部署,支持实时多人检测
基于ncnn部署yolov5s(7.0)手势检测模型的安卓demo,支持hagrid数据集18类手势识别
基于yolov8s(v8.2)脸部表情检测的安卓demo,包含RAF-DB数据集的七种表情。
基于ncnn部署yolov8-seg模型的Android demo。
基于yolov8n(v8.2.11)笑脸检测模型的ncnn安卓部署demo
基于rknn的官方Android项目rknn_yolov5_android_apk_demo进行修改,部署人脸检测模型retinaface和106人脸关键点检测模型,支持实时人脸检测。支持rk356x和rk3588设备npu推理。
使用tensorrtx部署yolov5(6.2),进行实时检测(yolov5_cam.cpp)
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