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HansolEom avatar HansolEom commented on July 17, 2024 6

In DeepFashion2, each clothing item is annotated with a bounding box and a polygon within the bounding box. Binary segmentation mask can be generated from polygon with cocoapi.

Could you please release your code? I want deepfashion2's segmentation binary.

from deepfashion2.

geyuying avatar geyuying commented on July 17, 2024 1

First, a bounding box is detected and each pixel within this bounding box will be assigned a mask label (For each detected bounding box, it will output knn, where k is the number of clothes categories and n is the size of feature map). For details, you can refer to Mask R-CNN.

We use the model below for clothes segmentation:
https://github.com/facebookresearch/Detectron/blob/master/configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_1x.yaml.

from deepfashion2.

ttacfq avatar ttacfq commented on July 17, 2024

Thanks for your reply! So you are using maks-rcnn to get the bounding box first and then get the semantic segmentation (contour) mask? ! was wondering if I don't use the bounding box and only use the segmentation annotations, how to generate ground truth to train a segmentation model, because there are some overlapping around the waist (some pixels belong to both skirt and outwear). Are you using layered binary segmentation mask for each clothing category?

from deepfashion2.

geyuying avatar geyuying commented on July 17, 2024

In DeepFashion2, each clothing item is annotated with a bounding box and a polygon within the bounding box. Binary segmentation mask can be generated from polygon with cocoapi.

from deepfashion2.

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