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I followed the instructions in the document at https://keras.io/api/keras_cv/models/tasks/deeplab_v3_segmentation/ and encountered an error when I input the following code:
```python
from keras_cv.m…
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```
smp.DeepLabV3Plus(encoder_name='tu-maxvit_base_tf_224',
encoder_depth=5, encoder_weights='imagenet',
encoder_output_stride=16, decoder_channels=256,
…
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So i was working with both swinv2_tiny_window8_256 and swinv2_base_window12to16_192to256 and noticed that it was not loading with torchseg.DeepLabV3Plus
```
model = torchseg.DeepLabV3Plus(
"…
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Hello, thanks for your nice work.
I met a bug on --continue training.
python main.py --model deeplabv3plus_mobilenet --dataset cityscapes --gpu_id 6 --lr 0.1 --crop_size 768 --batch_size 12 --…
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```
Epoch [1/1], Step [20/328], Loss: 1.0185, mIoU: 0.145 lr 0.0001
Epoch [1/1], Step [40/328], Loss: 0.7599, mIoU: 0.1716 lr 0.0001
Epoch [1/1], S…
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Почему тут есть возможность сохранения модели https://smp.readthedocs.io/en/latest/save_load.html как в документации. А я не могу сохранить модель DeepLabV3Plus?
> Why is it possible to save the mo…
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HI, I have a confusion hoping to get help. Why is the inference speed of Deeplabv3plus much lower than other models with similar parameters and computational complexity(GFLOPs)?
wwjwy updated
2 years ago
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When I tried to train the deeplabv3 model by:
python train.py --model deeplabv3_plus --backbone resnet50 --dataset ade20k --lr 0.0001 --epochs 50
it reports that:
model = Xception65(**kwargs)
Type…
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ValueError: Shape must be rank 3 but is rank 4 for '{{node deeplabv3plus/concatenate_1/concat}} = ConcatV2[N=2, T=DT_FLOAT, Tidx=DT_INT32](deeplabv3plus/lambda_3/resize/Squeeze, deeplabv3plus/activati…
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Thanks for your sharing! in your resnest readme, you have reported the Deeplabv3plus+resnest200 on citycapse results achieve 83.8%miou. Can you update this part code? thanks.