Comments (2)
Hi, I have not tried this. For current code version, as we made a deep modification to original code in some python files, you need to make sure the modification parts to detectron2 is executed (by overwritting) when placing transfiner in the project folder. My suggestion is to use our code to build detectron2 environment directly.
from transfiner.
Hi,I tried this way,No errors found so far
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Related Issues (20)
- Could you wirte a document about how to fine-tune your pre-trianed weight plz? HOT 4
- 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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