DDRNet.pytorch
DDRNet.pytorch copied to clipboard
chenjun2hao
This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on ci...
Thanks for the nice implementation :cat: :100:, I have a small question: https://github.com/chenjun2hao/DDRNet.pytorch/blob/bc0e193e87ead839dbc715c48e6bfb059cf21b27/lib/datasets/base_dataset.py#L222 Why `pred.exp()` in inference? The real scores should be `softmax(pred, dim=1)` right? Just wonder what is the...
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: [ONNXRuntimeError] :...
I wanna to compare the performance of DDRNet 39 and DDRNet 23, but I find that there is no release of DDRNet 39 in the official and your repo. Could...
I ran eval.py following this project's manual.: $ python tools/eval.py --cfg experiments/cityscapes/ddrnet23_slim.yaml I got this result.: MeanIU: 0.7783, Pixel_Acc: 0.9601, Mean_Acc: 0.8548, Class IoU: [0.98051424 0.84613866 0.92252055 0.51403614 0.61611903 0.64109395...
Hi, bro, I train DDRNet-23 without pretrained model using 1024x1024 resolution. While it get 0.71mIoU metric. I want to know how can I reach the same accuracy in the paper?...
你好，我使用Camvid数据集训练时发现没有对应的yaml文件.我将cityscapes的yaml文件修改成camvid的，但是训练的miou只能达到0.70，达不到论文中的0.74，请问您这边有对应的camvid的yaml文件吗？还是说我修改的camvid修改有错误。
UnboundLocalErrors occur on resume training. `valid_loss` and `mean_IoU` are obtained by code below: in train.py: ```python if epoch % 10: valid_loss, mean_IoU, IoU_array = validate(config, testloader, model, writer_dict) ``` That...
Metadata
Owner
Metadata
This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on ci...