Comments (8)
When test on cityscapes, I can get PQ values directly. And I could get the panoptic segmentation results like below:
I think you should describe the details of the problem you are experiencing more carefully.
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@WenFuLee I meet the same problem as you said, but I just test the cocodataset. Furthermore, I found the another problem is that key "color" is not in panoptic _coco_categories_stiff.json
after coco_init.sh
which seems to cause the problem when we calculate PQ values. When I refer to the panoptic_api
in official github: https://github.com/cocodataset/panopticapi/blob/master/panoptic_coco_categories.json
It allocates every categories with different colors, which is different from panoptic _coco_categories_stiff.json
without the key "color".
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@qq237942920 For coco dataset,Please pull the latest code ''init_coco.py'' and regenerate panoptic_val2017_stff.json. I think it will be fine.
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@YuwenXiong I think your team completed the work before the update of panoptic_api
, so when I git clone the updated panoptic_api, you still use it with old version. Actually, there are many issues about COCO Panoptic data does not have 'color' attribute
in panoptic_api
. If I'm wrong about your project, I'm so sorry and looking forward your reply.
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@qq237942920 For coco dataset,Please pull the latest code ''init_coco.py'' and regenerate panoptic_val2017_stff.json. I think it will be fine.
I tried it again ,but it still tell me the same problem.
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@Xiaolongbetter @YuwenXiong Oh,I found the project had updated 4 hours ago, so I think it fixed the bug about it. I'm so sorry for my problem. Thank you for your patient reply.
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@Xiaolongbetter I saw your above panoptic segmentation results. Wondering when you got your PQ results, did you experience this issue: #22. Thanks.
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This issue was solved after successfully evaluating the test set.
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Related Issues (20)
- Why the PQ is not equal to SQ * RQ?
- Pan output exceeds number of classes
- Defining New Datasets in Cityscapes Format
- batch_size per gpu is limited to 1
- PQ calculation error HOT 2
- Segmentation fault (core dumped) HOT 1
- Can't generate Panoptic results, only Instance. HOT 3
- System and environment
- RuntimeError: DataLoader worker (pid 60087) is killed by signal: Killed. HOT 1
- Inference is slow when the classes is large.
- Getting NaN for loss/accuracy values on 4 GPU config file HOT 2
- Missing nvcc?
- AssertionError: Failed to read image
- How to infer one Image with COCO Config?
- TypeError: new(): invalid data type 'str'
- Panoptic head implementation
- RuntimeError: expected a Variable argument, but got list
- Dataset overview
- Shipments not recieved
- RuntimeError: CUDA error: no kernel image is available for execution on the device HOT 2
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