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Hi, is there a tutorial on Detectron2 mask-rcnn explainablity (specifically for *instance segmentation*)? I read another issue mentioning that it it is difficult. I would like to write a tutorial note…
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Hi Detectron,
Recently I tried to add my custom coco data to run Detectron and encountered the following issues.
(1) "segmentation" in coco data like below,
{"segmentation": **[[**499.71, 397.2…
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Hey guys!
I have just installed the requirements and trying to test the model with a random image per usage.md
I get the following error:
Traceback (most recent call last):
File "/ground-…
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**Link to the notebook**
[Example Notebook](https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart_semantic_segmentation/Amazon_JumpStart_Semantic_Segm…
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When I use semantic segmentation callback function named **_imageSegmentationCallback_** cannot be reached even though msg on three topics **_/camera/rgb/image_raw_**, **_/camera/depth/image_raw_**, *…
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I had done the export or import of segmentation in volume, here is the link https://github.com/cornerstonejs/cornerstone3D/issues/664
Now what's missing is stack, does anyone know?
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When I add the --save_segmentation_images tag as shown below to train the model, I get an error as shown below. The same thing happens when I try to run the evaluation too.
```
python bin/run_pat…
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Hi, thanks for your share!
I am testing your code on the NYUv2 dataset. ^ _ ^
I have used your code in folder named 'preproess_data/superpixel/' and have made the image like this
![image](htt…
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Hi,
Thanks for this fabulous work. We are doing research on a scene segmentation task, and want to get raw image and segmentation mask pairs from the 3dfront dataset. It seems this demo only provid…