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root:/data/research/seamseg-master/scripts# python -m torch.distributed.launch --nproc_per_node=2 train_panoptic.py --log_dir ./log.log "/data/research/seamseg-master/seamseg/config/defaults/panoptic.…
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hi, i have read your paper "Depth-Aware Deep Learning Networks for Object Detection and Image Segmentation" ,Could you share the panoptic annotation for the SUN RGBD mentioned in paper? thanks for he…
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* Working on this in a separate branch - awsl-ml.
* Next test the Google Cloud Vision AI for object detection.
- [ ] This then has to be combined with or replaced by image segmentation, the task…
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First I create a predictor in the following way to get an output:
cfg.MODEL.DEVICE = "cuda:0"
predictor = DefaultPredictor(cfg)
outputs = predictor(image, "panoptic")
Then I want to use the mode…
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Hi everyone, I trained DETR on custom data for instance segmentation only. I have trained segmentation head using my own box model. The model is doing fine for object detection but I don't know how to…
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Traceback (most recent call last):
File "test.py", line 38, in
panoptic_result = v.draw_panoptic_seg(outputs["panoptic_seg"][0].to("cpu"), outputs["panoptic_seg"][1]).get_image()
KeyError: '…
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### Model/Pipeline/Scheduler description
This work (https://arxiv.org/pdf/2210.06366.pdf) presents how we can apply the advances of diffusion modelling to generate panoptic masks for images and vid…
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Hi,
I'm trying to do some experiments about panoptic segmentation on the coco-panoptic dataset. Which files should I change to let the data load function can distinguish object and stuff classes? …
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How to test my own images and see the panoptic segmentation results ?
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Hi,
I was wondering if there is a way to run inference on my own data to get a merged prediction as described in the paper, but without having to run evaluation. We are planning to use the model to…