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Hi. Do you guys think about adding new real time semantic segmentation models like BiSeNet & DDRNet? @qubvel
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Unable to create an onnxruntime inference session from an onnx exported DDRNet-23-slim model on GPU. Can you provide some support related to this?
Getting the following error:
InvalidArgument: [ON…
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Why i not found in ddrnet_39.py about Bottleneck_last,SPP_super, So now only use Bottleneck and PPAM replace?
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Hi, Thanks for your excellent work ! I notice that RegSeg can achieve a high accuracy on Cityscapes without pretraining. I also did a lot of ablation studies and I think DDRNet will drop around 3% mio…
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Hi,
great project.
Do you have any plans for adding DDRNet support to mmsegmentation?
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这篇论文的结果是在1080ti +TensorRT上对比的,也没说TensorRT采用的什么精度,而DDRNet等是在pytorch上跑的,不能直接比较
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所以目前只能可视化你列出的这些model吗? 比如我想可视化一个ddrnet,再进行json文件自动生成,怎么弄?
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Hello,
Thank you for your work. I was wondering how do I use the files included to perform tests?
Let's say I want to use DDRNet_23.py, how do I give it an input of a photo to perform semantic seg…
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when I pruner https://github.com/chenjun2hao/DDRNet.pytorch
I meet the error
`
def prune_model(model):
model.cpu()
DG = tp.DependencyGraph().build_dependency(model, torch.randn((1…
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This model is extremely fast & accurate. I've tried so many methods to make a model run fast enough with the same accuracy, like lite backbone, shrink the PPM or ASPP module, or cut some channels... B…