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Hey, thank you for sharing your amazing job!
Will you increase support for Recursive-FPN in the future?
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I cannot find script to preprocess data for panoptic segmentation
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I have done the trick of multi_scales and flip as input images to improve the PQ, flip can get about +0.5 PQ, however, when i use the multi_scales the PQ declined, I just reshape the input as the pape…
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In your paper, A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI, it says, " We provide temporally-consistent instance annotations for all traffic participants including vehicles, pedes…
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Hi, thank you for the awesome work!
I am running the codes on Windows 10 + cuda 10.1 + pytorch1.4.0 with 2080Ti (11G).
When I run the command
```
python tools/train_net.py --cfg configs/Base-Panop…
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I am running the codes on Windows 10 + cuda 10.1 + pytorch 1.4.0
I have installed `cityscapesScripts` via pip as indicated in your instructions and use the `csCreatePanopticImgs.exe` provided in the …
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i really love your idea, and i want to inference on my dataset like a video :). I want to know how long you will add the inference code for single img or single video
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I'm trying to train a faster r-cnn on mmfashion dataset. I load my dataset as COCO and trained without any error. But when i tried to evaluate i got errors like, KeyError: 'area', KeyError: 'iscrowd'.…
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Wonderful work! May I ask how long it takes to train the panoptic segmentation network? I trained the mask branch and found it is much lower than the detection-only network.
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Any demo script provided inference on a single image and visualize the final result?