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MobileViTv2 model pre-trained on PASCAL VOC at resolution 512x512. It was introduced in Separable Self-attention for Mobile Vision Transformers by Sachin Mehta and Mohammad Rastegari, and first released in this repository. The license used is Apple sample code license.
MobileViTv2 is constructed by replacing the multi-headed self-attention in MobileViT with separable self-attention.
The model in this repo adds a DeepLabV3 head to the MobileViT backbone for semantic segmentation.
模型来源: https://hf-mirror.com/apple/mobilevitv2-1.0-voc-deeplabv3
本模型基于 ServiceBoot微服务引擎 进行服务化封装,参见: 《CubeAI模型开发指南》
$ sh pip-install-reqs.sh
$ serviceboot start
或
$ python3 run_model_server.py
一键式本地容器化部署和运行,参见: 《CubeAI模型独立部署指南》 或 CubeAI Docker Builder
本模型服务可一键发布至 CubeAI智立方平台 进行共享和部署,参见: 《CubeAI模型发布指南》
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