James Fury
James Fury
Where does the model to get the option from terminal
Why the program can run in the training, but stuck in saving weight? Saving weights to /data1/code/BigGAN-PyTorch/weights/BigGAN_I512_seed0_Gch96_Dch96_bs8_nDa8_nGa8_Glr1.0e-04_Dlr4.0e-04_Gnlinplace_relu_Dnlinplace_relu_Ginitortho_Dinitortho_Gattn64_Dattn64_Gshared_hier_ema... Saving weights to /data1/code/BigGAN-PyTorch/weights/BigGAN_I512_seed0_Gch96_Dch96_bs8_nDa8_nGa8_Glr1.0e-04_Dlr4.0e-04_Gnlinplace_relu_Dnlinplace_relu_Ginitortho_Dinitortho_Gattn64_Dattn64_Gshared_hier_ema/copy0... RuntimeError: CUDA out of memory. Tried to allocate 3.75...
I want to konw why there isn't any to the function get_cls_model and compute_macs
Hi, excuse me. What's the exact meaning of the Equalinear? Why need to scale the Weight and bias
Hi, I see the table 1 in your paper. Is there any evaluation script provided for this ?
Thanks for your beautiful work, i want to konw how to do the interpolation experiment just like the result in the paper specifically ?
Is there any evaluation script for SSIM metrics?
您好,我想请教下论文关于同时控制多个属性不变而对一个属性进行操作,怎么能找到一个同时保持多个属性不变的分界面呢? 每个属性都有一个分界面,多个属性的分界面并不会重合啊? 而且论文对应的那个实验图也没有特别看懂,可以稍微解释下吗?[  ](url)
Hi, the code to realize the flow `flow[0,:,:,0] = cv2.resize(np.float32(mvCont[0,:,:,1]), (0,0), fx=feat_size[1]/input_size[1], fy=feat_size[0]/input_size[0], interpolation = cv2.INTER_LINEAR)*feat_size[0]/input_size[0]` `flow[0,:,:,1] = cv2.resize(np.float32(mvCont[0,:,:,0]), (0,0), fx=feat_size[1]/input_size[1], fy=feat_size[0]/input_size[0], interpolation = cv2.INTER_LINEAR)*feat_size[1]/input_size[1]` Why there is reversion that...