Open hellock opened 4 years ago
albumentation in #29
MobileNet v3 backbone support please!
Add U-net please!
nnU-net support please!
tensorboard support please!
tensorboard support please!
You may uncomment this line to enable tensorboard.
Gans for segment
Is there a way to view segmentation results throughout training (like evaluation hook but with visualisation of possibly unlabelled dataset)? E.g. Tensorboard image writer.
UNet, UNet++, and installation on OS X.
MobileNet v3 backbone support please!
Supporting...
support EfficientFCN
dice loss, focal loss
please add Res2net,thank you,
please add Panoptic-DeepLab and segfix, thank you
and Bisenetv2, thank you~
Lovasz hinge loss and Lovasz softmax loss suport please, thank you.
Multi-scale attention https://github.com/NVIDIA/semantic-segmentation, thank you!
HighRes2DNet(2D version of HighRes3DNet) support please!
support CaNet please,thank you! https://github.com/icoz69/CaNet?utm_source=wechat_session&utm_medium=social&utm_oi=980147122032807936
hope the Xception will be supported in backbones, thank you https://arxiv.org/pdf/1610.02357.pdf
support COCO Dataset, please. Thank you.
Support Mapillary Vistas Dataset ,thank you.
Support Dice Loss, Generalized Dice Loss, Focal Loss & Tversky Loss please! Thank you!
Make it easy to use mixed loss
please support for temporal structure
DenseASPP plz,thank you
Support CamVid Dataset ,thank you.
Xception backbone support please!
EMA/SWA and knowledge distillation please
Hi, thanks for your amazing job! Is there any plan to support Panoptic-DeepLab? Thank you!
Hi, great project. I would like to see DDRNet. https://github.com/chenjun2hao/DDRNet.pytorch
Thanks for your contributions. Please add EfficientNet family of backbones (v1, v2, tflite, etc.)
Thanks for your contributions. Please add EfficientNet family of backbones (v1, v2, tflite, etc.)
Could you please provide some references?
Thanks for your contributions. Please add EfficientNet family of backbones (v1, v2, tflite, etc.)
Could you please provide some references?
EfficientNet (v1):
EfficientNet (v2):
Hi, great project. I would like to see Mask2Former
Add support for Un/Semi-Supervised Loss (-or- partially unlabeled data)
edit: moved into a separate issue #1147
Hi, thanks for your great job! Is there any plan to support Mask2Former? Thank you!
Please update PIDnet as it is the new sota
Add 3D image segmentation capabilities #2010 In particular, I would propose to implement the following models:
https://arxiv.org/abs/1606.06650 https://arxiv.org/abs/1804.02967 https://arxiv.org/abs/1810.11654 https://arxiv.org/abs/1904.00625
These and other models are implemented here: https://github.com/black0017/MedicalZooPytorch
Could we add SegNext
?
Code: https://github.com/visual-attention-network/segnext paper: https://arxiv.org/abs/2209.08575
The code already uses mmsegmentation.
Thanks for this repo, Any plan to support RtFormer ? https://arxiv.org/abs/2210.07124
We keep this issue open to collect feature requests from users and hear your voice. Our monthly release plan is also available here.
You can either:
V0.6 (August)