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Currently, when both the GT mask and the prediction mask are emtpy, we consider [this special case](https://github.com/ivadomed/MetricsReloaded/blob/nk/update-lesion-f1-metric/compute_metrics_reloaded…
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Hello,
For the semantic segmentation prediction in the Jupyter notebook, library dependencies seem to mismatch:
*Requires mmseg >= 1.0, mmcv >= 2.0:*
from mmseg.apis import init_model, inferen…
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Hey, I have been working on a similar project
Instead of using hough lines etc, you might want to look into PIDNET
It is a new segmentation network that works well enough and it is quite fast
…
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Currently our analyses are done using the per-vertebrae metrics derived from the Spinal Cord Toolbox's `sct_process_segmentation` analysis. While this has worked, it likely results in an issue where m…
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Segmenting images with many distinct objects results in many objects being missed, e.g.:
(Notice not…
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### Proposal Summary
Currently [`fo.Detection`](https://github.com/voxel51/fiftyone/blob/develop/fiftyone/core/labels.py#L391-L414) supports:
> an instance segmentation mask for the detection wi…
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I tried using tflite models built using the notebook https://github.com/usefulsensors/openai-whisper/blob/main/notebooks/generate_tflite_from_whisper.ipynb.
But, I am getting segmentation fault whe…
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Dear @slundberg,
first of all thank you for your work, SHAP is a really promising code in the field of XAI!
I am writing this issue in order to know something more about the possibility to use SHA…
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In this issue, I explore how removing the brain and the brain stem improves the performance of the model for segmenting spinal lesions in MS.
The brain/brain stem were removed using the contrast a…
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问题：extract_embedding.py报segmentation default错误。
复现：
```
cd [root]/examples/libritts/cosyvoice
python tools/extract_embedding.py --dir data/[your_dataset]/ --onnx_path ../../../pretrained_model…