dan326326

Thank you for your reply. Is there a uniform size requirement for pictures

Thank you very much indeed. I located the generation of this nan, and the data became nan after passing through the first convolution layer conv1，What's going on here

hello， thank for your patient reply , this is the running result ! Epoch: [0/200] Iter:[0/1176], Time: 1100.00, lr: 0.005000, Loss: 0.691021 Epoch: [0/200] Iter:[10/1176], Time: 101.08, lr: 0.005000, Loss:...

I find is that the result of convolution is huge： tensor([[[[-7.9044e+31, 1.3967e+32, -1.7841e+32, ..., 1.3038e+32, -3.7658e+32, 3.4734e+32], [-1.0282e+32, -8.2208e+31, -2.6121e+30, ..., 1.0440e+32, 8.8422e+31, 7.1321e+30], [ 3.3423e+31, 1.6554e+32, 4.9708e+31, ..., -2.4600e+32,...

> Wow thank you for the helpful information

hello，Where did you download your CASIAv2 dataset ------------------ 原始邮件 ------------------ 发件人: "mjkwon2021/CAT-Net" ***@***.***>; 发送时间: 2021年11月11日(星期四) 中午12:29 ***@***.***>; ***@***.******@***.***>; 主题: Re: [mjkwon2021/CAT-Net] Using pretrained when training (Issue #4) Wow thank you for the helpful information

really thank you!!!!!!!!!!!!!!!!!!! ------------------ 原始邮件 ------------------ 发件人: "mjkwon2021/CAT-Net" ***@***.***>; 发送时间: 2021年11月11日(星期四) 下午2:56 ***@***.***>; ***@***.******@***.***>; 主题: Re: [mjkwon2021/CAT-Net] Using pretrained when training (Issue #4) hello，Where did you download your CASIAv2 dataset … ------------------ 原始邮件 ------------------ 发件人: "mjkwon2021/CAT-Net"...

> Those project are dead. Python 3.5 and Tensorflow 1.8 required too much work just for launch. Cat-Net do good result, except: > > 1. "Magic wand" like tool removal....

I see. Thank you ------------------ 原始邮件 ------------------ 发件人: "mjkwon2021/CAT-Net" ***@***.***>; 发送时间: 2021年11月10日(星期三) 晚上7:47 ***@***.***>; ***@***.******@***.***>; 主题: Re: [mjkwon2021/CAT-Net] Too much false fake face detection (#3) Sorry, it is my own small dataset with 5-10...