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EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

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When I train with 2 GPUs, I have the same problem in https://github.com/facebookresearch/detectron2/issues/4191. Thus, after reading your README.MD, I want to know how to set the "find_unused_parameters=True" in distributed training...

I run test.py but i met this error, miss "_seg.png" file python test.py --dir ./data/DUTS-TE --model ./model_10000 --output ./output --clear /home/hoang/anaconda3/envs/tranSOD/lib/python3.6/site-packages/torchvision/io/image.py:11: UserWarning: Failed to load image Python extension: /home/hoang/anaconda3/envs/tranSOD/lib/python3.6/site-packages/torchvision/image.so: undefined...

Hi, I am getting the following error when running this coarse partition network with train2017 dataset ERROR [08/05 15:18:06 d2.engine.train_loop]: Exception during training: Traceback (most recent call last): File "/home/hndx/detectron2-main/detectron2/engine/train_loop.py",...

Hi, why do I get this error when I run the coco instance_2017 dataset with the source program? This error is as follows Traceback (most recent call last): File "/home/hndx/detectron2-main/detectron2/projects/EntitySeg/train_net.py",...

Hi, I have tried to realize your method(High Quality Segmentation for Ultra High-resolution Images), it works well. But do you have met the problem that the wrong mask segmentation happens...

Hello! Have you tried to refine the mask which is more than one class at same time, such as 3 classes or 4 classes? And how about the result? Thank...

Thanks for your great work "Open-World Entity Segmentation". Could you provide the evaluation code on ADE-20K dataset, when using models trained on COCO?

Thanks for your great work. I have a question that how the panoptic results of PanoFCN or DETR transfered to the entity segmentation results?

When I run "python3 entity_to_json.py", the following problems occur: Traceback (most recent call last): File "entity_to_json.py", line 23, in catid_map = {category['id']: [cid, category["isthing"], category["name"], category["supercategory"]] for cid, category in...

Why do you use an imperfect library detectron2?