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- [Semantic Image Segmentation with DeepLab in TensorFlow](https://ai.googleblog.com/2018/03/semantic-image-segmentation-with.html) 2018 Google blog post
Tensorflow TFLite optimized pre-trained on …
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Hi,
I just found the project and was very eager to try it. However, if I want to create the model with:
`import segmentation_models as sm
from model import Deeplabv3
deeplab_model = Deep…
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我在train_net.py 中from detectron2.projects.deeplab import add_deeplab_config, build_lr_scheduler无法导入或找不到。
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Could you please also shed some light on building and inferencing from the Deeplab V3+ Xception65 model at https://github.com/tensorflow/models/blob/master/research/deeplab/g3doc/model_zoo.md ?
gnool updated
5 years ago
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Hi, @jiwoon-ahn, I get the same mIoU of cams and AffinityNet, but the result of Deeplab segmentation network only get 55% mIoU. Did you change something in DeepLab-CRF-LargeFOV? Can you give me your d…
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Hello, can we also train the model by writing our training code (for example, by modifying fcnTrain routine ?
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I discovered a few more pre-trained models on [DeepLab](https://github.com/tensorflow/models/blob/master/research/deeplab/g3doc/model_zoo.md).
Code to infer from pretrained model can be found [here…
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In your experiments, your method used DeepLab v3+ as the backbone to compare with other methods that use DeepLab v2, which is totally unfair. Can you report the results based on DeepLab v2?
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Hi,
Can you please tell me what is the difference between fc_8 features and crf features.
There are different trained models some has fc_8 in the test.prototxt some has crf.
I am using Deeplab to…
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