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MHPM

The code for the paper Multi-Human Parsing Machines

Data

The dataset used in this repo is MHP-v1, which can be downloaded from our LV-MHP website.

Put the downloaded data under folder

./data

and unzip it to generate two subfolders: images and annotations. Run the scripts

generate_global_seg.py
generate_global_tag.py

inside ./data to generate the global segmentation maps and global tags.

Models

Models for deployment are here

Pre-trained models are here

Ackonwledgement:

Deeplab v2 in pytorch: https://github.com/speedinghzl/Pytorch-Deeplab

fastSceneUnderstanding: https://github.com/DavyNeven/fastSceneUnderstanding

Dense CRF: https://github.com/lucasb-eyer/pydensecrf

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