如何使用label_anything只做分割标注？根据教程标注出来的是目标检测加分割？

[wangqiuji1]

[dky233]

只输出多边形标注就可以了，如下：
label-studio-ml start sam --port 8003 --with
model_name=mobile_sam
sam_config=vit_t
sam_checkpoint_file=./mobile_sam.pt
device=cpu
out_poly=True

[JimmyMa99]

教程做的是实例分割（mask-rcnn），我们推荐使用rle格式输出的coco，也就是脚本输出的rle coco格式

[JimmyMa99]

问题已经解决，请看 #164 获取Outlook for Android<https://aka.ms/AAb9ysg>

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________________________________ From: Hebei Li ***@***.***> Sent: Sunday, October 15, 2023 2:58:33 PM To: open-mmlab/playground ***@***.***> Cc: Ma Zhiming ***@***.***>; Comment ***@***.***> Subject: Re: [open-mmlab/playground] 如何使用label_anything只做分割标注？根据教程标注出来的是目标检测加分割？ (Issue #153) 我发现hq-sam好像支持不了， Unexpected key(s) in state_dict: "mask_decoder.hf_token.weight", "mask_decoder.hf_mlp.layers.0.weight", "mask_decoder.hf_mlp.layers.0.bias", "mask_decoder.hf_mlp.layers.1.weight", "mask_decoder.hf_mlp.layers.1.bias", "mask_decoder.hf_mlp.layers.2.weight", "mask_decoder.hf_mlp.layers.2.bias", "mask_decoder.compress_vit_feat.0.weight", "mask_decoder.compress_vit_feat.0.bias", "mask_decoder.compress_vit_feat.1.weight", "mask_decoder.compress_vit_feat.1.bias", "mask_decoder.compress_vit_feat.3.weight", "mask_decoder.compress_vit_feat.3.bias", "mask_decoder.embedding_encoder.0.weight", "mask_decoder.embedding_encoder.0.bias", "mask_decoder.embedding_encoder.1.weight", "mask_decoder.embedding_encoder.1.bias", "mask_decoder.embedding_encoder.3.weight", "mask_decoder.embedding_encoder.3.bias", "mask_decoder.embedding_maskfeature.0.weight", "mask_decoder.embedding_maskfeature.0.bias", "mask_decoder.embedding_maskfeature.1.weight", "mask_decoder.embedding_maskfeature.1.bias", "mask_decoder.embedding_maskfeature.3.weight", "mask_decoder.embedding_maskfeature.3.bias". ― Reply to this email directly, view it on GitHub<#153 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AYGOLCDP6QJ5XHE47WJ7WI3X7OCRTANCNFSM6AAAAAA37U6OT4>. You are receiving this because you commented.Message ID: ***@***.***>