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**Description:**
Thank you for sharing this great work. I’ve been able to run several queries successfully, but I encountered a runtime error when running specific queries without the `-t` option.
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Hi ,
I want to use this repo for instance segmentation task, Could you please let me know how can I achieve the same.
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I read the readme file and found this in order to generate the labels:
```
{
'raw_file': str. 20th frame file path in a clip.
'lanes': list. A list of lanes. For each list of one lan…
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**Environment:**
- OS: Ubuntu 22.04.4 LTS
- GPU and driver version: Intel Corporation AlderLake-S GT1 (rev 0c) i915
- SDK or header version if building from repo: ef846ac0883cde5e69ced0e7d7af59f…
Zieng updated
1 month ago
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Thank you for your perfect work. After the multi-person segmentation. Is there any method to get the single instance-level segmentation?
Thx
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### Description
As title. All other datasets uses `mask` and [this is supported](https://kornia.readthedocs.io/en/stable/augmentation.container.html#kornia.augmentation.container.AugmentationSequen…
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Hi there, is it possible to train instance segmentation model based on Mask RCNN with coco format dataset without bbox data? (already got segmentation data)
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Hello! Great work on putting together such a useful and large dataset.
I was wondering if there was any talk of potentially providing the vector labels for each image in a format which can be readi…
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Dear @shalinidemello @xvjiarui,
Could you provide more details about how to reproduce the results in Table B.5? e.g. do we need to train on this instance task or just use the panoptic pretrained mo…
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