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I have trained box inst using config MS_R_50_1x.yaml without pretrained imagenet weights. I followed demo for training custom model for detectron 2 " https://colab.research.google.com/drive/16jcaJoc6b…
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**Hello, I made the following mistake during training, how should I solve it?**
**I added it in adet/data/builtin.py before training:**
_PERDEFINED_SPLITS_YOUTUBEVIS_VIDEO = {
'youtub…
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Hi! Thanks for opensourcing the code.
Both work use the segmentation loss for extra supervision to the mask feature(blender).
What is difference of these two?
From the code, I found that Blen…
lxtGH updated
2 years ago
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Very interesting work! I have read your implementation on the CondInst with OneNet matching. I've noticed there is a significant drop in mask AP compared to the original CondInst. What could be the ca…
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Hi, I'm wondering the meaning of codes in this figure. These codes are in the python file `adet/modeling/condinst/crossvis.py`.
![image](https://user-images.githubusercontent.com/59246456/162726733…
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I am using the original code to train a model with the SOLO v2 and the COCO dataset. If I use Resizing and/or Flipping, there will be no issue and the training process can be successfully completed. H…
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When can mmdet realize solov2 network? There are too few instances of network segmentation.
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I followed QuickStart in BlendMask's README.
```bask
wget -O blendmask_r101_dcni3_5x.pth https://cloudstor.aarnet.edu.au/plus/s/vbnKnQtaGlw8TKv/download
python demo/demo.py \
--config-file con…