Comments (4)
If you want to do finetuning based on our pretrained model, you can modify the weight location here with corresponding config file.
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oh thanks, let me try it out
from transfiner.
@lkeab does normal training need extra models? I ran bash scripts/train_transfiner_3x_swinb.sh
without any modification, but it still says AssertionError: Checkpoint swin_base_patch4_window7_224_22k_d2.pth not found!
.
where can I download this model? is there any other model required?
from transfiner.
ah, nvm. I found this the link in the readme doc here my bad
from transfiner.
Related Issues (20)
- Strange visualization result. HOT 1
- how to export trained weights to onnx HOT 1
- Asking for code component HOT 3
- Question about segmentation fault HOT 1
- CUDA out of memory HOT 5
- RuntimeError: torch.nn.functional.binary_cross_entropy and torch.nn.BCELoss are unsafe to autocast HOT 2
- how to generate a polygon label for "polygons in polygons" HOT 1
- Visual error HOT 1
- ImportError: DLL load failed: The specified module cannot be found. HOT 1
- ImportError: cannot import name 'Caffe2Tracer' from 'detectron2.export' HOT 1
- compile fail HOT 1
- if i have a few hundred images to do , will it run on small dataset ? I mean can I train it on small dataset? Thank you for your amazing work HOT 1
- model questions HOT 2
- How to contribute?
- semi-supervised learning HOT 1
- AssertionError: COCOAPI does not support empty polygons HOT 2
- Does the model support exporting onnx?
- What kind of Feature fusion operation does RoI Feature and Coarse Masks do?
- bdd100k support
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