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### My actions before raising this issue
- [x ] Read/searched [the docs](https://github.com/cvat-ai/cvat/tree/master#documentation)
- [ x] Searched [past issues](/issues)
I could not upload my …
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Hi,
I changed the CamVid example to use lightning for the training, validation, and testing. In this preprocess I mostly used the code in the cat example. My question is related to the IOU metrics …
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Tried this block from https://github.com/qubvel/segmentation_models.pytorch/blob/master/examples/cars%20segmentation%20(camvid).ipynb:
loss = smp.utils.losses.DiceLoss()
metrics = [
smp.utils…
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Unet requires segmentation masks where the value of each pixel corresponds to the class.
What would be the proper export format? I've looked into the documentation …
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**I have some problems when I train the model on my own data and I don't know if it is because that I make some mistakes when I load my data.
Here are the details:**
Traceback (most recent call las…
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## CUDA Out of Memory error but CUDA memory is almost empty
I am currently training a lightweight model on very large amount of textual data (about 70GiB of text).
For that I am using a machine on…
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Dear qubvel,
I hope this message finds you well. I recently used your example code "cars segmentation (camvid).ipynb" from your GitHub repository for a segmentation task. While I obtained reasonabl…
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I am trying to replicate cars segmentation (camvid) example but using my own datatset with single class.
While I am reading the annotations, it reads the object (building) as background, background a…
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Based on the Camvid example and the corresponding camvid-unet-large.yaml, having a Unet with 3 concatenation operations your implementation suggests using a single passthrough layer at the bottleneck:…
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Hi, I have just cloned your code on the current version to conduct experiments on my own. I have download the pre-trained file from the provide [google drive](https://drive.google.com/drive/folders/11…