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I am trying to use COCO 2014 data for semantic segmentation training in PyTorch. I have a PSPNet model with a Cross Entropy loss function that worked perfectly on PASCAL VOC dataset from 2012. Now I a…
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Since I don't have a GPU on my computer, I need to convert the workflow into Python code and run it on Colab. However, when I run the code multiple times to generate images, I run into issues with run…
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# Reference
**paper**
- 09/2018 [Searching for Efficient Multi-Scale Architectures for Dense Image Prediction](https://arxiv.org/abs/1809.04184)
- 10/2018 [Fast Neural Architecture Search of Compac…
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Hi,
Thank you for providing the code corresponding to the paper; the outcomes are noteworthy, especially when compared with TinEye. I have observed that there is some code missing, as highlighted in …
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None
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Global Rank: 0 Local Rank: 0
Global Rank: 1 Local Rank: 1
Torch version: 1.1, 1.10.0+cu102
n scales [0.5, 1.0, 2.0]
dataset = cityscapes
ignore_label = 255
num_classes = 19
cv split…
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### 🐛 Describe the bug
I noticed a qualitative regression in the inference quality when compiling a segformer-b0 model from the `transformers` library. This regression was introduced in the 2.5.0 rel…
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when we run pytorch dense correspondence code, we encounter the following issue:
---------------------------------------------------------------------------
ImportError …
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I had the same bug using cellpose 2 to detect cells after the training of model (2D) so I decided to install Cellpose 3 on my macOS M1, using Anaconda. I follow the protocol posted on GitHub
https:/…
AlabC updated
3 weeks ago
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Hello,
I would like to use the semantic segmentation images to improve my training.I have the RGB directory named as train_A,another RGB directory named as train_B,, and the semantic segmentation ima…
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I am trying to create an executable. My code test.py works well when running with python, but the generated executable file fails with OsError error. I tried to add some hiddenimports and data to the …