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Provides the DaVinci models that are converted from a mainstream, open source, deep learning network models

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Introduction

The models repository provides the network model used in the ascenddk sample. The network model is the Davici model converted from the mainstream open-source neural learning network.

Model Conversion Guide

Convert the open source network model into the Davici model supported by Huawei NPU chips by referring to the following guide.

Offline Model Conversion Guide

Model List

Model Name

Description

Model Path

face_detection.om

Network model for face detection

computer_vision/object_detect/face_detection

vanillacnn.om

Network model for marking facial feature points

computer_vision/classification/vanillacnn

sphereface.om

Network model for obtaining feature vectors

computer_vision/classification/sphereface

car_color.om

Network model for identifying the vehicle color

computer_vision/classification/car_color

car_type.om

Network model for identifying the vehicle brand

computer_vision/classification/car_type

Note

Submit the model based on the README_MODEL_TEMPLATE.md requirements. The model in this warehouse is an open source network model obtained from the Internet, which is not optimized by Huawei. The accuracy and performance depend on the source network. If do not meet your requirements, contact Huawei to obtain a commercial solution.

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Provides the DaVinci models that are converted from a mainstream, open source, deep learning network models

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