(self)

(self, args)

(self, args)

(self, args, startScale = 4, numScales = 5, l_weight= 0.32, norm= 'L1')

(self, image_size, crop_size)

(self, image_size, crop_size)

(self, args, is_cropped = False, root = '', replicates = 1)

(self, args, is_cropped = False, root = '', replicates = 1)

(self, args, is_cropped, root = '/path/to/FlyingChairs_release/data', replicates = 1)

(self, args, is_cropped, root = '/path/to/flyingthings3d', dstype = 'frames_cleanpass', replicates = 1)

(self, args, is_cropped = False, root = '', replicates = 1)

(self, args, is_cropped = False, root = '', replicates = 1)

(self, args, is_cropped, root = '/path/to/chairssdhom/data', dstype = 'train', replicates = 1)

(self, args, is_cropped = False, root = '', replicates = 1)

(self, args, is_cropped = False, root = '', replicates = 1)

(self, args, is_cropped, root = '/path/to/frames/only/folder', iext = 'png', replicates = 1)

(self, args)

(self, title)

(self, iterable)

(self, args, input_channels = 12, batchNorm=True)

(self, args, batchNorm=True, div_flow = 20)

(self,args, batchNorm=True)

(self, args, batchNorm=True)

(self)

(self, norm_deg=2)

(self, pad_size=3, kernel_size=3, max_displacement=20, stride1=1, stride2=2, corr_multiply=1)

(self, kernel_size=1)

(self, web_dir, title, reflesh=0)

(self, opt)

(self, n=35)

(self, pool_size)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(self)

(storage, storage_offset, size, stride, requires_grad, backward_hooks)

(parser, module, argument_for_class, default, skip_params=[], parameter_defaults={})

(tensors, add_size=0)

(ctx, grad_output)

(self, grad_output)

(n)

()

(path)

(input_nc, ndf, n_layers_D, norm='instance', num_D=1, getIntermFeat=False, gpu_ids=[])

(input_nc, output_nc, prev_output_nc, ngf, which_model_netG, n_downsampling, norm, scale, gpu_ids=[], opt=[])

(labels, values)

(self)

(self, *inputs, **kwargs)

(self, input_A, input_B, dummy_bs=0)

(self, input, img_prev, mask, img_feat_coarse, flow_feat_coarse, img_fg_feat_coarse, use_raw_only)

(self, input, img_prev, mask, img_feat_coarse, flow_feat_coarse, img_fg_feat_coarse, use_raw_only)

(self, input, feat=None)

(self, input, feat_map=None)

(self, x, z)

(self, input, z)

(self, x)

(self, input, inst)

(self, input)

(self, input)

(self, x, y)

(self, output, label)

(self, input, target, mask)

(self, input, target, mask=None)

(self, X)

(self, input1, input2)

(self, inputs)

(self, inputs)

(self, inputs)

(self, inputs)

(self, inputs)

(self, inputs)

(self, output, target)

(self, output, target)

(self, output, target)

(self, output, target)

(self, output, target)

(self, data, target, inference=False )

(self, x)

(self, x)

(self, x)

(self, x)

(self, input)

(self, input)

(ctx, input1, norm_deg=2)

(self, input1, input2)

(ctx, input1, input2, kernel_size=1)

(self)

(self)

(self, A_path, transform_scaleA)

(self)

(self)