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Hello,
I just want to run the trained model on the dataset to see how it performs. Is it possible to do that without a GPU. I downloaded the weights and put it in a folder and ran the following co…
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Hi, great work !! I am trying to run inference on some of my own images, but the output is incorrect. Here are the steps I followed:-
1. Loaded the small model trained on curvelanes dataset
2. Res…
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When training with Culane dataset, the following problems will appear, but the path and shape of more than a dozen pictures can be printed out. What is the reason for this? Training with the TuSimple …
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i train my own datasets, and download the pretrained_weights of 'mscan_b.pth', can you explain to put the weights_file to which place? Thanks very much! my command is : python /tools/train.py local_c…
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Thanks for the great work, I have some questions about the learning rate.
In the paper, the learning rate is set to 0.1, the batch size is set to 16 per GPU(3090), and the epoch is set to 30, but …
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Hi, thank you for your impressive work ! :D
btw, I'd like to **unify model's input sizes of TUSimple and CULane dataset** .
and I thought it can if I modify below part in the cfg file.
https…
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Hi,
Thanks for the code, but when i try the Backprojection_Loss, there is a problem i have no idea.
Below is the bug:
D:\Anaconda\envs\pytorch1.1\python.exe D:/LaneDetection/venv/LaneDetection_End2…
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Hello,
I have tried to fine tune the laneatt_r18_tusimple.pth model, by running this command:
`python main.py configs/laneatt/resnet18_culane.py --finetune_from pretrained/laneatt_r18_tusimple.pth…
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Hello there, thanks for the great work. I tried the model on tusimple dataset and it works well. However, when I try the model on other dataset (specifically, CULane dataset) not mentioned in the work…
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Hello, I trained with my own dataset, and the following error occurred: Target size (torch.Size([20, 4])) must be the same as input size (torch.Size([20, 6])). How should I solve the above problems. t…