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Hello maintainers,
I have successfully reimplemented the Faster RCNN under mmdet. After inference, the bboxs in the result images show only the color orange. Since my custom dataset has 7 categories,…
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For phase 1:
- Pre-trained on ImageNet and quotes achieved performance.
- Variety of architectures and sizes.
- At least 5 models
- Make a table of `model_name, model_size, imagenet-1k-top1-accu…
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@plemeri First of all thank you for the work. Its really awesome
I am trying to use this but i am getting these errors and I cannot figure out from where we are using these. Can you please help me …
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I am trying to export "Mask R-CNN with Swin-Tiny". The command that I used is
```
python tools/deployment/pytorch2onnx.py configs/swin/mask_rcnn_swin_tiny_patch4_window7_mstrain_480-800_adamw_3x_co…
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Very happy to see your code!
I am very interested in application to a plain ViT, can you provide some related tips?
Thank you so much!
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**Describe the bug**
I'm trying to use jit compiled swin v2 on Nvidia Jetson but have error after one inference step on CUDA and have no problems on CPU.
**To Reproduce**
Steps to reproduce the …
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Could you please provide a link to download the pre-trained weights for the tiny encoder?
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### System Info
- `transformers` version: 4.36.0.dev0
- Platform: Linux-5.15.133.1-microsoft-standard-WSL2-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.19.4
- Saf…
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Hi author,
I noticed this is where you load the pre-trained model:
https://github.com/MaKaRuiNah/SHENet/blob/995599b8a5f037505c9310003801cf5d7209720a/utils/parser.py#L28-L29
Is it also uploaded…
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When I try to load the pretrained weights into the timm model:
```
import torch
import timm
print(timm.__version__)
model = timm.create_model('swin_base_patch4_window7_224', num_classes=3, pr…