python main.py ./config_HoloGAN.json --dataset celebA --input_fname_pattern ".jpg" --crop input_height 108--output_height 64

image_path:
			Full path to the dataset directory.
gpu:
			Index number of the GPU to use. Default: 0.
batch_size:
			Batch size. Defaults is 32.
max_epochs:
			Number of epochs to train. Defaults is 50.
epoch_step:
			Number of epochs to train before starting to decrease the learning 			   rate. Default is 25.
z_dim:
			Dimension of the noise vector. Defaults is 128.
d_eta:
			Learning rate of the discriminator.Default is 0.0001
g_eta:
			Learning rate of the generator.Default is 0.0001
beta1:
			Beta 1 for the Adam optimiser. Default is 0.5
beta2:
			Beta 2 for the Adam optimiser. Default is 0.999
discriminator:
			Name of the discriminator to use. 
generator:
			Name of the generator to use. 
view_func:
			Name of the view sampling function to use.
train_func:
			Name of the train function to use.
build_func:
			Name of the build function to use.
style_disc:
			Use Style discriminator. Useful for training images at 128.
sample_z:
			Distribution to sample the noise fector. Default is "uniform".
add_D_noise:
			Add noise to the input of the discriminator. Default is "false".
DStyle_lambda:
			Lambda for the style discriminator loss. Default is 1.0
lambda_latent:
			Lambda for the identity regulariser.Useful for training images at 			  128.Default is 0.0.
ele_low:
    		Default is 70.
ele_high:
			Default is 110.
azi_low:
			Default is 0.
azi_high:
			Default is 360.
scale_low:
			Default is 1.0
scale_high:
			Default is 1.0
x_low:
			Default is 0.
x_high:
			Default is 0.
y_low:
			Default is 0.
y_high:
			Default is 0.
z_low:
			Default is 0.
z_high:
			Default is 0.
with_translation:
			To use translation in 3D transformation. Default is "false".
with_scale:
			To use scaling in 3D transformation. Default is "false".
output_dir: 
			Full path to the output directory.

@inproceedings{HoloGAN2019,
  title={ HoloGAN: Unsupervised Learning of 3D Representations From Natural Images  },
  author={Nguyen-Phuoc, Thu and Li, Chuan and Theis, Lucas and Richardt, Christian and Yang, Yong-Liang},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
 month = {Nov},
 year = {2019} 
}