Can you offer the pre-trained model weights?

[liupgd]

Hi, I'm interested with this model. But I can't run the test without your pretrained weights. Appreciated if you can offer the pretrained weights. Thx. My email: [email protected]

[mousecpn]

Hi, I'm interested with this model. But I can't run the test without your pretrained weights. Appreciated if you can offer the pretrained weights. Thx. My email: [email protected]

Sorry, I didn't train successfully on COCO dataset.

[liupgd]

Hi, I'm interested with this model. But I can't run the test without your pretrained weights. Appreciated if you can offer the pretrained weights. Thx. My email: [email protected]

Sorry, I didn't train successfully on COCO dataset.

I trained on COCO2017, but the result is far away from the paper. I used 100k images, same data operation with the paper. I checked your code and the BGU paper and the JBL paper. I think there is almost no fault with your code.
Here is my result trained 29 epochs:

All the test images are searched with google. The first two results are not as good as the paper. I don't know why. Maybe, the training dataset also matters.

[oferidan1]

hi liupgd, mousecpn , can you please upload your pre-trained model? I understand its not perfect, but it would be great if you can share it. thanks in advanced.

[liupgd]

hi liupgd, mousecpn , can you please upload your pre-trained model? I understand its not perfect, but it would be great if you can share it. thanks in advanced.

Hi @oferidan1 , I modified the training to pytorch-lightning. I've merged my code to here: https://github.com/liupgd/Joint-Bilateral-Learning checkpoint: https://drive.google.com/file/d/1BH5RyvRcwm0VC75iEcp2NLe4V7imyAn2/view?usp=sharing some parameters:

It has been so long, I can't remember all details now. All above is what I can find out from my computer. Hope it will help you.

[oferidan1]

thanks alot, liupgd.

[liupgd]

好像是的，好久前的事了，记得不太清了。-------- 原始邮件 --------发件人： martin_chen @.>日期： 2021年6月17日周四 19:43收件人： mousecpn/Joint-Bilateral-Learning @.>抄送： liupgd @.>, Author @.>主 题： Re: [mousecpn/Joint-Bilateral-Learning] Can you offer the pre-trained model weights? (#7)

hi liupgd, mousecpn , can you please upload your pre-trained model?

I understand its not perfect, but it would be great if you can share it.

thanks in advanced.

Hi @oferidan1 , I modified the training to pytorch-lightning. I've merged my code to here: https://github.com/liupgd/Joint-Bilateral-Learning

checkpoint: https://drive.google.com/file/d/1BH5RyvRcwm0VC75iEcp2NLe4V7imyAn2/view?usp=sharing

some parameters:

It has been so long, I can't remember all details now. All above is what I can find out from my computer. Hope it will help you.

你好 能讲中文吧

我想问一下数据集是怎么做的 是随机在coco2017中选取风格图片和内容图片各50000张吗

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[zhanghongyong123456]

hi liupgd, mousecpn , can you please upload your pre-trained model? I understand its not perfect, but it would be great if you can share it. thanks in advanced.

Hi @oferidan1 , I modified the training to pytorch-lightning. I've merged my code to here: https://github.com/liupgd/Joint-Bilateral-Learning checkpoint: https://drive.google.com/file/d/1BH5RyvRcwm0VC75iEcp2NLe4V7imyAn2/view?usp=sharing some parameters:

It has been so long, I can't remember all details now. All above is what I can find out from my computer. Hope it will help you.

I use yours pre model ,but get error,i dont know why ,can you help me ? my test cmd

python test.py --cont_img_path /home/zhy/Projects/RealHM/vendor_testing_2/pexels-aleksandar-pasaric-2115367.jpg --style_img_path /home/zhy/Projects/RealHM/vendor_testing_2/pexels-aleksandar-pasaric-2115367_fore.jpg --model_checkpoint ./checkpoints/JBL-epoch=73.ckpt

and error:

[liupgd]

Hi,@zhanghongyong123456 if you are using both my pytorch-lightning version of code and the pretrained model. please just use main_pl.py for training and testing purpose. The pytorch-lightning models are different from the original ones and can't be loaded by pytorch directly. The main_pl.py' s arguments has shown how to do the test. Hope this help you.

[zhanghongyong123456]

Hi,@zhanghongyong123456 if you are using both my pytorch-lightning version of code and the pretrained model. please just use main_pl.py for training and testing purpose. The pytorch-lightning models are different from the original ones and can't be loaded by pytorch directly. The main_pl.py' s arguments has shown how to do the test. Hope this help you.

yes,I want to know how the parameters are configured, I only have one GPU, I don't know where to pass the test image (content and style)，only add checkpoint path

[zhanghongyong123456]

Hi,@zhanghongyong123456 if you are using both my pytorch-lightning version of code and the pretrained model. please just use main_pl.py for training and testing purpose. The pytorch-lightning models are different from the original ones and can't be loaded by pytorch directly. The main_pl.py' s arguments has shown how to do the test. Hope this help you.

Hello, I have successfully tested the model according to your prompt, I have two questions looking forward to your reply, 1. Can I achieve 4K real-time 1080 on the computer（in paper,I know mobile phone 4k real time ?） 2. How to set the high resolution (2K 4K), the result I get is 512 Resolution, if it can be any resolution, set it there, I am not too familiar with the pytorch_lightning library