Open eotich32 opened 6 months ago
def training(dataset, opt, pipe, testing_iterations, saving_iterations, checkpoint_iterations, checkpoint, debug_from, no_xyz=False, sample_mode="FPRC", sample_rate=0.1, kernal=103): first_iter = 0 tb_writer = prepare_output_and_logger(dataset) gaussians = GaussianModel(dataset.sh_degree) scene = Scene(dataset, gaussians) NN_Comp = UNet(3, 3).cuda() with open('NN_Comp/NN_comp.yaml', 'r') as config: nn_comp_config = yaml.safe_load(config)
# NN_Comp = SUNet_model(nn_comp_config).cuda()
大佬们,开源要严谨
复现出来了,论文里数据对不上。
怎么解决的啊?
def training(dataset, opt, pipe, testing_iterations, saving_iterations, checkpoint_iterations, checkpoint, debug_from, no_xyz=False, sample_mode="FPRC", sample_rate=0.1, kernal=103): first_iter = 0 tb_writer = prepare_output_and_logger(dataset) gaussians = GaussianModel(dataset.sh_degree) scene = Scene(dataset, gaussians) NN_Comp = UNet(3, 3).cuda() with open('NN_Comp/NN_comp.yaml', 'r') as config: nn_comp_config = yaml.safe_load(config)