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```jupyter-notebook
history = model.fit(train_gen,
validation_data=val_gen,
steps_per_epoch=len(train_gen),
validation_steps=len(val_gen…
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Hi, author. What are the mIoUs in the final segmentation results that did not using the SAM for the post processing in V3+ and SwinL, respectively? And also I want to know, what are the mIoUs in final…
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Possibly related to Issue #2867, I've found color palette errors when loading checkpointed models through MMSegInferencer to perform inference. Specifically, models trained on the Potsdam and Vaihing…
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Hello, can deeplabv3PLus_HRnetV2_32 be used to train Cityscapes datasets in the project
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deeplabv3plus demo
Missing key(s) in state_dict: "auxlayer.block.0.weight", "auxlayer.block.1.weight", "auxlayer.block.1.bias", "auxlayer.block.1.running_mean", "auxlayer.block.1.running_var", "a…
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Thanks for your work!
I want to generate images from segmentaion task model(like deeplabv3plus), but I use your original loss got bad result.
Could you help me with this issue?
Thanks a lot!
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After training the deeplab3plus resnet101 model with 30000 iters, the mean accuracy achieves to 0.678442 and miou 0.593765. This result is lower for your conclusion in the Cityscapes dataset, it is co…
ly-jq updated
7 months ago
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Hiii,thank you for your attribute.
Sorry to disturb you that could you share the file _best_deeplabv3plus_resnet101_cityscapes_os16.pth_ in tecent weiyun?
Many thanks!
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The .tar file for the CityScape pretrained weight of DeepLabV3Plus-ResNet101 model seems to be invalid. I wonder if anyone had success extract the weight file from it.
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请说明模型的来源,模型类型(例如图像分类、目标检测等),应用场景(如需要转为Paddle,通过PaddleLite部署到树莓派上,满足XXX需求)
**提示 上述有详细描述的issue会让工程师更快了解用户的需求,丰富产品的功能和易用性,相关issue也会被优先处理!!!**
你们好,
我参加了AI达人训练营,需要做路面分隔,用到了DeeplabV3Plus with Mobile …