Below are the resources for Daisykit deep learning models. At the current phase of Daisykit, we are focusing on model deployment and overall architecture. Therefore, source code and tutorial for training may be not available for now.
1. Person detection (person_detector) and Human pose (Ultralight-Nano-SimplePose):
Pretrained models: https://github.com/dog-qiuqiu/Ultralight-SimplePose.
2. Facial landmark:
3. Face detection (with wearing_mask output): WearMask
Training & model conversion code: https://github.com/waittim/mask-detector.
4. Background matting:
Pretrained model: https://github.com/nihui/ncnn-webassembly-portrait-segmentation.
5. Human pose estimation: Google MoveNet
6. Object detection model: YOLOX
Training & model conversion code: https://github.com/Megvii-BaseDetection/YOLOX.
Converted by FeiGeChuanShu: https://github.com/FeiGeChuanShu/ncnn-android-yolox.