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Maybe I'm not understanding something but with the following code summary throws an error:
```
import torch
from torchvision import models
from torchsummary import summary
device = torch.devi…
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Hello, I am planning to buy a NVIDIA Jetson AGX and run a trained deelplabv3+ model on it.
However, when I search on google I found this [post](https://forums.developer.nvidia.com/t/dla-bugs-using-de…
fclof updated
2 years ago
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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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I've been working through the DeepLabV3 Pytorch tutorial, which can be founded here: https://github.com/quic/aimet-model-zoo/blob/develop/zoo_torch/Docs/DeepLabV3.md.
However, when running the eval…
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# Prerequisites
Please answer the following questions for yourself before submitting an issue.
- [ ] I am using the latest TensorFlow 1.14.
- [ ] I am reporting the issue to the correct reposit…
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Seems like `F.interpolation` is the problem. Is there any workaround for this ?
I follow the instruction on this [tutorial](https://awsdocs-neuron.readthedocs-hosted.com/en/latest/general/setup/neu…
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I tried to train DeepLabv3_plus model for pascal_voc by using
`CUDA_VISIBLE_DEVICES=0 python-u tools/train.py --config-file configs/pascak_voc_deeplabv3_plus.yaml`
due to my configuration problem, …
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Hi,
Thanks for your nice work.
Btw, I'm trying to run this code with cityscapes dataset.
According to your sample .yaml file, cityscapes uses `train_18unlabel_deeplabv3_1t` split. (like below) …
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epoch: 2 iter: 659/662 lr: 0.006748 loss: 0.5660 (0.4378)
epoch: 2 iter: 660/662 lr: 0.006748 loss: 0.3179 (0.4366)
epoch: 2 iter: 661/662 lr: 0.006748 loss: 0.46…
Lmoer updated
4 years ago
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Notice that this pytorch version is using different decoder_output_stride=4 features from deeplabv3+ tensorflow https://github.com/tensorflow/models/tree/master/research/deeplab ('entry_flow/block2/un…