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Compositional GAN: Learning Image-Conditional Binary Composition at IJCV 2020

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Exception in user code: ------------------------------------------------------------ Traceback (most recent call last): File "/usr/lib/python3/dist-packages/urllib3/connection.py", line 141, in _new_conn (self.host, self.port), self.timeout, **extra_kw) File "/usr/lib/python3/dist-packages/urllib3/util/connection.py", line 83, in create_connection raise err File "/usr/lib/python3/dist-packages/urllib3/util/connection.py",...

Dear author, thank you for your excellent algorithm. I have tested the examples with the data set you supposed. However, the result may not be as good as the paper...

elif opt.dataset_mode == 'baseline': from .objCompose_baseline import objComposeBaselineModel model = objComposeBaselineModel() elif opt.dataset_mode == 'baseline_unaligned': from .objCompose_cycleGAN_baseline import objComposeBaselineCycleModel model = objComposeBaselineCycleModel() else:

When I am trying to run this on Colab !bash /content/CompositionalGAN/scripts/chair_table/train_objCompose_paired.sh It gives following error THCudaCheck FAIL file=/pytorch/aten/src/THC/THCGeneral.cpp line=50 error=38 : no CUDA-capable device is detected Traceback (most recent call...