predict and visualization
Liuhao-128 opened this issue · comments
Describe the bug
Hi , I have one question about how to predict a picture when finish the training stage, in other words, how to visualize the segmentation results in your code.
I have written a simple visualization .py file, but when I load the model , I found that the model did not load successfully.
If it's convenient, I would appreciate it if you could share your predict code.
We look forward to your answer， thanks
To Reproduce
Dataset: voc-2012
Setting: 19-1
Command used or script used:
Expected behavior
A clear and concise description of what you expected to happen.
Additional context
Add any other context about the problem here.
Hey, thank for youur interest in our work :)
Please look at this issue #17, I think it is what you're looking for right?
thanks for your answer.
actually, today I also setting the args.visulization =True and samples_number =10, the visualization results of the val_dataset on the tensorboard are available,
I will try this code（issue https://github.com/arthurdouillard/CVPR2021_PLOP/issues/17） as soon as possible, thanks again!
Hi, I have run the predict.py file in issue #17, and get the results, the detail in the attachment, but i have some questions about that code.
1 this code confused me --old_model.module.in_eval = True, I commented directly since there is no old module to import or instance.
2 the Target part has an error in this code: --target[~mask] = 0 , and
i don't understand the function of this part. if i want visualize the final validation on voc dataset in task 19-1, Could you explain it to me how to setting the , thanks , the detail in attachment picture--error code
Hum, it depends on your version of pytorch I think for the mask.
Try casting the mask as boolean (target[~mask.bool()] = 0) or byte (target[~mask.byte()] = 0).
Try this command:
python3 viz.py --dataset voc --task 19-1 --step 1 --ckpt my_model.pth --indexes 0 100 500 1000 1245 1277 1330 1355 1425 1447 --name my_nameI think it should work :)