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Train Configs for BLEFF #34
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Sorry about the delay. I have to dig into our old logs. We use this config for most BLEFF experiments:
alias='', dir_enc_inc_in=True, dir_enc_levels=4, epoch=10000, eval_cam_interval=5, eval_img_interval=100, eval_img_num=1, eval_skip=1, focal_lr=0.001, focal_lr_gamma=0.9, focal_milestones=range(0, 10000, 100), focal_order=2, fx_only=True, gpu_id=0, hidden_dims=128, learn_R=True, learn_focal=True, learn_t=True, multi_gpu=False, num_relu_epoch=0, num_rows_eval_img=10, num_sample=128, optimizer='Adam', pos_enc_inc_in=True, pos_enc_levels=10, pose_lr=0.001, pose_lr_gamma=0.9, pose_milestones=range(0, 10000, 100), rand_seed=17, res_dims=512, resize_ratio=2, scene_name='mix_rt/t005r005/bed1', sigmoid_density=False, start_refine_focal_epoch=-1, start_refine_pose_epoch=-1, static_lr=0.001, static_lr_gamma=0.9954, static_milestones=range(0, 10000, 10), store_pose_history=True, train_img_num=-1, train_rand_cols=32, train_rand_rows=32, train_skip=1, true_rand=False, use_dir_enc=True, use_ndc=True, white_bkgd=False,Thanks! @ziruiw-dev
another question is the refine_nerfmm file always used after training?@HannahHaensen nope
Hey could you please share the configs for training Nerfmm on the Bleff Dataset?
Best Regards!