Happsky
Happsky
Traceback (most recent call last): File "./train-dcgan.py", line 41, in dcgan.train(FLAGS) File "/data4/hao/dcgan-completion.tensorflow/model.py", line 169, in train sample_images = np.array(sample).astype(np.float32) ValueError: setting an array element with a sequence.
How to train and test on my own dataset?
I have about 220,000 image pairs, do you have any suggestions to set batchSize, number of GPU, number of epoch and so on for training. I'm worrying about larger batchSize...
checkpoints_dir ./checkpoints /home/csdept/torch/install/bin/luajit: /home/csdept/torch/install/share/lua/5.1/torch/File.lua:272: read error: read 5499 blocks instead of 1484150018 at /home/csdept/torch/pkg/torch/lib/TH/THDiskFile.c:344 stack traceback: [C]: in function 'readChar' /home/csdept/torch/install/share/lua/5.1/torch/File.lua:272: in function 'readObject' /home/csdept/torch/install/share/lua/5.1/torch/File.lua:368: in function 'readObject' /home/csdept/torch/install/share/lua/5.1/torch/File.lua:353: in...
Hello, Thanks for your code. but when I tried your code, it always shows the problem that : hao@sibiu:~/pix2pix-master1$ DATA_ROOT=./datasets/facades name=facades_generation which_direction=BtoA th train.lua { cudnn : 1 name :...
Thank you for this amazing work. I am wondering which part code can ablate "artifact" units and improve results, as what Fig. 1 (f) and (g) in your paper do?
Is any way to train on my own datasets?
Traceback (most recent call last): File "./train", line 6, in import torchvision.transforms as transforms ImportError: No module named 'torchvision'
Thanks for sharing this amazing code, but I have a question that how to train the model and which kind of GPU for training? I only find predict.py, could you...
Could you sharing training/testing splitting on RaFD dataset of your StarGAN paper? Moreover, I download RaFD which has 8,040 images, while in your paper you reported it only has 4,824...