pix2pix
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phillipi
Image-to-image translation with conditional adversarial nets
Hey guys, So I am having segmentation map with 8 classes and I am inputting that with one RGB image to Pix2Pix generator. The output of a generator is an...
This is likely a newbie question, in which case apologies. It's my first time using torch. The `display` output is basically blank. The `` contains ```html display requires JavaScript status...
I use my own data set for training, but there is a problem in the test. Can you give me some details of the test？ 
from the original code, the input of the discrime-net is torch.cat((img, fake_target), 1), where img is the condition img, and fake_target is the target image or the output of the...
 as written on title, I'm finding for the hints to avoid overfitting while training over 200epoch I tried to change learning rate, but it didn't work
``./install/bin/luarocks install https://raw.githubusercontent.com/szym/display/master/display-scm-0.rockspec Using https://raw.githubusercontent.com/szym/display/master/display-scm-0.rockspec... switching to 'build' mode Missing dependencies for display: async >= 1.0 luasocket >= 2.0 Using https://raw.githubusercontent.com/torch/rocks/master/async-scm-1.rockspec... switching to 'build' mode 正克隆到 'async'... remote: Enumerating objects:...
Hello,can you tell me how to calculate Mean class IoU, Mean class accuracy and Mean pixel accuracy of photo2label
in some case, The image that needs to be converted also can be also a condition image,but now this image should be consider once or twice at the process of...
Hi, I am interested to apply your model to Google Maps images as demonstrated in your paper. Since I want to evaluate the fake v. real images as you did...
