-
### Feature request
This feature request significantly improves memory consumption for segmentation models, particularly when working with datasets with large numbers of instances per image.
###…
-
### Feature request
We want to standardize the logic flow through Processor classes. Since processors can have different kwargs depending on the model and modality, we are adding a `TypedDict` fo…
-
Is there a guide/suggestion on how to retrain one class using a custom dataset and also rename the class? Assuming one of the classes trained using Swin-L is tree. Can I retrain the class with a datas…
-
### Describe the issue
We exported the Huggingface transformer model [OneFormer](https://huggingface.co/docs/transformers/model_doc/oneformer) into onnx.
Opset 20 failed with the error:
```
O…
tikr7 updated
4 months ago
-
Hi, I'm encountering problem when trying to import dwpose.py. It looks like the problem is cuda version or torch version, I'm wondering that is there specific requirements for cuda or pytorch version?…
-
-
### Model description
The computational cost and memory requirement render many computer vision models unsuitable on the mobile device, especially for the high-resolution per-pixel semantic segmentat…
-
I added in requirements.txt
onnxruntime-gpu
onnxruntime-directml
onnxruntime-openvino
Like you explain in an other post. Good :) now onnxruntime is working on CPUs and Gpu but still an error with…
-
Thanks for your good work. I use the offered SDXL weights to finetune with my own data, but it seems the loss doesn't converge and I wonder whether the offered weights are trained on 1024 resolution. …
-
I have my custom dataset as a json in COCO format.
The tutorials for MaskFormer and Mask2Former for Huggingface Vision work with a different custom dataset format (a weird RGB encoding with custom …