Lane detection model for mobile device via MNN project
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Updated
Apr 14, 2020 - C++
Lane detection model for mobile device via MNN project
Android face detection 30+ FPS, pretrained weight 1MB.
Android face detection with landmarks. Neural networks. MNN.
Face detection with MNN for Raspberry Pi 4
Face detection with MNN on a Jetson Nano
deploy deep learning model with MNN
NanoDet、NanoDet-Plus with ONNXRuntime/MNN/TNN/NCNN C++.
Deploy deep learning model on difference hardware and framework. (TensorRT/ONNX/MNN/RKNN)
Super fast accurate face detector ! SCRFD(CVPR 2021) with MNN/TNN/NCNN/ONNXRuntime C++.
Sample projects for InferenceHelper, a Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow
C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow
alibaba MNN, mobilenet classifier, centerface detecter, ultraface detecter, pfld landmarker and zqlandmarker, mobilefacenet
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