Comments (2)
Hi there,
Thanks for showing interest in our work. As the released model is trained on the typical matting composite dataset with matting foregrounds occupying most of the part, you may get better results on small objects images if you re-train the code on customed small objects dataset. The training code has all been released for your convenience. Thanks.
from aim.
Hi guys, how did you predict the image? There is no code sample.
from aim.
Related Issues (20)
- Sharing code HOT 1
- Impossible to obtain the same results with the pretrained model HOT 4
- Training code HOT 1
- about fps Can it be in real time? HOT 1
- No such file or directory: '/AIMmodels/pretrained/r34mp_pretrained_imagenet.pth.tar' HOT 1
- DUTS SOD accuracy and loss values
- Number of iterations for each epochs HOT 1
- Rotated predictions
- CoreML
- Wrong SAD result HOT 1
- When do you plan to release the training code? HOT 2
- USR type json file does not match DIM, HAttMatting dataset file name HOT 1
- ValueError: operands could not be broadcast together with shapes (900,1600,1) (900,1600)
- 啥时候放代码呀,非常期待 HOT 1
- Access the pre-trained models? HOT 1
- Question about the results for DIM+Trimap HOT 1
- Training and Testing code ? HOT 2
- Some test results on images in the wild HOT 9
- Training code HOT 3
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from aim.