Comments (6)
Add a hint for those who searched 'time' to get here:
'It takes 3-4 hours for pix2pix training on facades datasets with a Nvidia GTX 1080 GPU.'
which means that if you use a desktop nvidia gpu, like GTX 745 I am using, It has a 4GB vram (50% of the GTX1080), then it shall use 6-8 hours IF ONLY CONSIDERS THE BATCH SIZE LOSS
And If you are using cpu, consider a desktop i7 with enough RAM , it is about 48-64 hours in total (800% time consuming)
for a laptop 4GB RAM, you need to reduce the batch size, which is ... even slower, and if you are using i5-laptop-version, please save your time and don't even try
from pytorch-cyclegan-and-pix2pix.
I am not sure if PyTorch supports AMD GPUs. You can train your model on the Intel CPUs, But it will be quite slow. I haven't trained any model on an everyday use laptop by myself.
from pytorch-cyclegan-and-pix2pix.
How much time does it take on your computer?
from pytorch-cyclegan-and-pix2pix.
It takes 3-4 hours for pix2pix training on facades datasets with a Nvidia GTX 1080 GPU.
from pytorch-cyclegan-and-pix2pix.
Haven't you saved the model? so that we can use it without training?
from pytorch-cyclegan-and-pix2pix.
There are a few pix2pix and cyclegan models available. See this post on pre-trained models for more details.
from pytorch-cyclegan-and-pix2pix.
Related Issues (20)
- Exception in user code
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- CycleGAN model transferring the object rather than the style
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- 礼貌提问并虚心请教:线性衰减学习率政策
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- 请问对于输入图像大小不一样时,该代码中是否对图像进行预处理了呢?
- CPU
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- Is the Model Capable of Processing and Maintaining Consistent Output Sizes Across Varied Image Dimensions? HOT 6
- 请问测试集应该下载保存到什么文件夹呢,每次都会报错'./checkpoints\\facades_label2photo_pretrained\\latest_net_G.pth'
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- introducing CycleGAN-Turbo and pix2pix-turbo
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from pytorch-cyclegan-and-pix2pix.