Efficient-Segmentation-Networks icon indicating copy to clipboard operation
Efficient-Segmentation-Networks copied to clipboard

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, Context...

Results 20 Efficient-Segmentation-Networks issues
Sort by recently updated
recently updated
newest added

Thanks for creating a great repo, organizing many segmentation models/datasets in one place! Wondering if you're planning to add support for instance segmentation / panoptic segmentation. The cityscape dataset provides...

when train on 18epoch, it would report error: ``` Traceback (most recent call last): File "train.py", line 396, in train_model(args) File "train.py", line 213, in train_model lossTr, lr = train(args,...

Has anyone tried using ESNet model?I got poor training results only 53%!!

I trained 7 of the models and in all of them, I got more than %80 validation mIoU with the default settings (CamVid dataset after 1000 epochs). But when I...

Hi, it's a wonderful repository. But I am curious whether you have trained any of them and if yea, could you supply the results of them (in CityScape or CamVid)?

Thanks for your excellent work! Will you reproduce mobilenetv3+LR-ASPP ?

Such like this: =====> epoch[161/300] iter: (526/1329) cur_lr: 0.000251 loss: 0.445 time:0.67 =====> epoch[161/300] iter: (527/1329) cur_lr: 0.000251 loss: 0.196 time:0.58 Traceback (most recent call last): File "D:/my/torch-gpu/Efficient-Segmentation-Networks/Efficient-Segmentation-Networks/train.py", line 398,...

make torch.no_grad effective, avoid out of memory, reset batch_size of validating

Hi, this is a good project. I tried it, and the overall installation and training were very simple and straightforward. I experimented with FPENet, but the final result was larger...

Traceback (most recent call last): File "D:/Code/CodePycharm/Deep_Learning/segment/Efficient-Segmentation-Networks-master/train.py", line 409, in train_model(args) File "D:/Code/CodePycharm/Deep_Learning/segment/Efficient-Segmentation-Networks-master/train.py", line 222, in train_model lossTr, lr = train(args, trainLoader, model, criteria, optimizer, epoch) File "D:/Code/CodePycharm/Deep_Learning/segment/Efficient-Segmentation-Networks-master/train.py", line 336,...