HDR-Project

记录HDR开发过程中的一些细节

FLAGS

2018-12-28 11:15:43, [data_augmentation_size] : 8
2018-12-28 11:15:43, [data_compute_dtype] : <class 'numpy.float32'>
2018-12-28 11:15:43, [data_csr_buffer_size] : 1500
2018-12-28 11:15:43, [data_image_channel] : 3
2018-12-28 11:15:43, [data_image_size] : 512
2018-12-28 11:15:43, [data_input_dtype] : <class 'numpy.uint8'>
2018-12-28 11:15:43, [data_input_ext] : .tif
2018-12-28 11:15:43, [data_label_dtype] : <class 'numpy.uint8'>
2018-12-28 11:15:43, [data_test_image_count] : 498
2018-12-28 11:15:43, [data_train_batch_count] : 6000
2018-12-28 11:15:43, [data_train_batch_size] : 3
2018-12-28 11:15:43, [data_train_image_count_input] : 2250
2018-12-28 11:15:43, [data_train_image_count_label] : 627
2018-12-28 11:15:43, [data_train_sample_count_input] : 18000
2018-12-28 11:15:43, [data_train_sample_count_label] : 5016
2018-12-28 11:15:43, [data_use_random_pad] : False
2018-12-28 11:15:43, [folder_csrs] : /data/LPGAN/csrs/
2018-12-28 11:15:43, [folder_csrs_rgb] : /data/LPGAN/csrs_rgb/
2018-12-28 11:15:43, [folder_input] : /data/LPGAN/input/
2018-12-28 11:15:43, [folder_label] : /data/LPGAN/label/
2018-12-28 11:15:43, [folder_label_HDR] : /data/LPGAN/label_HDR/
2018-12-28 11:15:43, [folder_log] : /data/LPGAN-Result/736-DGX-LPGAN/log/
2018-12-28 11:15:43, [folder_model] : /data/LPGAN-Result/736-DGX-LPGAN/model/
2018-12-28 11:15:43, [folder_test_csrs] : /data/LPGAN/csrs/
2018-12-28 11:15:43, [folder_test_img] : /data/LPGAN-Result/736-DGX-LPGAN/test_img/
2018-12-28 11:15:43, [folder_test_netG_loss] : /data/LPGAN-Result/736-DGX-LPGAN/test_netG_loss/
2018-12-28 11:15:43, [folder_test_netG_psnr1] : /data/LPGAN-Result/736-DGX-LPGAN/test_netG_psnr1/
2018-12-28 11:15:43, [folder_test_netG_psnr2] : /data/LPGAN-Result/736-DGX-LPGAN/test_netG_psnr2/
2018-12-28 11:15:43, [folder_train_ind_input] : /data/LPGAN-Result/736-DGX-LPGAN/train_ind_input/
2018-12-28 11:15:43, [folder_train_ind_label] : /data/LPGAN-Result/736-DGX-LPGAN/train_ind_label/
2018-12-28 11:15:43, [folder_train_netG_loss] : /data/LPGAN-Result/736-DGX-LPGAN/train_netG_loss/
2018-12-28 11:15:43, [folder_weight] : /data/LPGAN-Result/736-DGX-LPGAN/weight/
2018-12-28 11:15:43, [format_log_step] : %.3f
2018-12-28 11:15:43, [format_log_value] : {:6.4f}
2018-12-28 11:15:43, [load_model_need] : False
2018-12-28 11:15:43, [load_model_path] : /data/LPGAN-Result/000-DGX-LPGAN/model/0.000.ckpt
2018-12-28 11:15:43, [load_path] : /data/LPGAN-Result/000-DGX-LPGAN/
2018-12-28 11:15:43, [load_previous_epoch] : 0
2018-12-28 11:15:43, [load_previous_exp] : 0
2018-12-28 11:15:43, [load_train_indices_input_path] : /data/LPGAN-Result/000-DGX-LPGAN/train_ind_input/0.000.txt
2018-12-28 11:15:43, [load_train_indices_label_path] : /data/LPGAN-Result/000-DGX-LPGAN/train_ind_label/0.000.txt
2018-12-28 11:15:43, [load_train_loss_path] : /data/LPGAN-Result/000-DGX-LPGAN/train_netG_loss/0.000.txt
2018-12-28 11:15:43, [loss_constant_term] : l2
2018-12-28 11:15:43, [loss_constant_term_use_local_weight] : False
2018-12-28 11:15:43, [loss_constant_term_weight] : 10000.0
2018-12-28 11:15:43, [loss_data_term_use_local_weight] : False
2018-12-28 11:15:43, [loss_heavy] : True
2018-12-28 11:15:43, [loss_photorealism_is_our] : True
2018-12-28 11:15:43, [loss_pr] : False
2018-12-28 11:15:43, [loss_source_data_term] : l2
2018-12-28 11:15:43, [loss_source_data_term_weight] : 1000.0
2018-12-28 11:15:43, [loss_wgan_gp_bound] : 0.05
2018-12-28 11:15:43, [loss_wgan_gp_mv_decay] : 0.99
2018-12-28 11:15:43, [loss_wgan_gp_times] : 1
2018-12-28 11:15:43, [loss_wgan_gp_use_all] : False
2018-12-28 11:15:43, [loss_wgan_lambda] : 10
2018-12-28 11:15:43, [loss_wgan_lambda_grow] : 2.0
2018-12-28 11:15:43, [loss_wgan_lambda_ignore] : 1
2018-12-28 11:15:43, [loss_wgan_use_g_to_one] : False
2018-12-28 11:15:43, [method] : WGAN-v24-cycleganD2
2018-12-28 11:15:43, [mode_use_debug] : False
2018-12-28 11:15:43, [netD_base_learning_decay] : 75
2018-12-28 11:15:43, [netD_base_learning_decay_epoch] : 75
2018-12-28 11:15:43, [netD_base_learning_rate] : 1e-05
2018-12-28 11:15:43, [netD_buffer_times] : 50
2018-12-28 11:15:43, [netD_init_method] : var_scale
2018-12-28 11:15:43, [netD_init_times] : 0
2018-12-28 11:15:43, [netD_init_weight] : 0.001
2018-12-28 11:15:43, [netD_mat] : /data/LPGAN-Result/736-DGX-LPGAN/736-netD.mat
2018-12-28 11:15:43, [netD_regularization_weight] : 0
2018-12-28 11:15:43, [netD_times] : 50
2018-12-28 11:15:43, [netD_times_grow] : 1
2018-12-28 11:15:43, [netG_base_learning_decay] : 75
2018-12-28 11:15:43, [netG_base_learning_decay_epoch] : 75
2018-12-28 11:15:43, [netG_base_learning_rate] : 1e-05
2018-12-28 11:15:43, [netG_init_method] : var_scale
2018-12-28 11:15:43, [netG_init_weight] : 0.001
2018-12-28 11:15:43, [netG_mat] : /data/LPGAN-Result/736-DGX-LPGAN/736-netG.mat
2018-12-28 11:15:43, [netG_regularization_weight] : 0
2018-12-28 11:15:43, [net_gradient_clip_value] : 100000000.0
2018-12-28 11:15:43, [num_exp] : 736
2018-12-28 11:15:43, [num_gpu] : 4
2018-12-28 11:15:43, [path_char] : /
2018-12-28 11:15:43, [path_data] : /data/LPGAN
2018-12-28 11:15:43, [path_result] : /data/LPGAN-Result/736-DGX-LPGAN
2018-12-28 11:15:43, [path_result_root] : /data/LPGAN-Result/%03d-DGX-LPGAN
2018-12-28 11:15:43, [process_epoch] : 0
2018-12-28 11:15:43, [process_load_test_batch_capacity] : 32
2018-12-28 11:15:43, [process_load_train_batch_capacity] : 64
2018-12-28 11:15:43, [process_max_epoch] : 150
2018-12-28 11:15:43, [process_random_seed] : 2
2018-12-28 11:15:43, [process_run_first_testing_epoch] : True
2018-12-28 11:15:43, [process_test_drop_summary_step] : 1
2018-12-28 11:15:43, [process_test_log_interval_epoch] : 2
2018-12-28 11:15:43, [process_train_data_loader_count] : 2
2018-12-28 11:15:43, [process_train_drop_summary_step] : 5
2018-12-28 11:15:43, [process_train_log_interval_epoch] : 20
2018-12-28 11:15:43, [process_write_test_img_count] : 498
2018-12-28 11:15:43, [sys_is_dgx] : True
2018-12-28 11:15:43, [sys_use_all_gpu_memory] : True
2018-12-28 11:15:43, [sys_use_unix] : True
2018-12-28 11:15:43, [txt_log] : /data/LPGAN-Result/736-DGX-LPGAN/736-log.txt
2018-12-28 11:15:43, [txt_test] : /data/LPGAN/test.txt
2018-12-28 11:15:43, [txt_train_input] : `/data/LPGAN/train_input.txt`
2018-12-28 11:15:43, [txt_train_label] : /data/LPGAN/train_label.txt

ARCHITECTURE

2018-12-28 11:10:35, [netG] architecture_log :
2018-12-28 11:10:50, ========== net_name = netG_1 ==========
2018-12-28 11:10:54, [       input][   0] : (   3,  512,  512,    3)
2018-12-28 11:10:58, [        conv][   1] : (   3,  512,  512,   16)
2018-12-28 11:10:59, [        selu][   2] : (   3,  512,  512,   16)
2018-12-28 11:11:00, [          bn][   3] : (   3,  512,  512,   16)
2018-12-28 11:11:01, [        conv][   4] : (   3,  256,  256,   32)
2018-12-28 11:11:01, [        selu][   5] : (   3,  256,  256,   32)
2018-12-28 11:11:02, [          bn][   6] : (   3,  256,  256,   32)
2018-12-28 11:11:02, [        conv][   7] : (   3,  128,  128,   64)
2018-12-28 11:11:04, [        selu][   8] : (   3,  128,  128,   64)
2018-12-28 11:11:05, [          bn][   9] : (   3,  128,  128,   64)
2018-12-28 11:11:05, [        conv][  10] : (   3,   64,   64,  128)
2018-12-28 11:11:06, [        selu][  11] : (   3,   64,   64,  128)
2018-12-28 11:11:06, [          bn][  12] : (   3,   64,   64,  128)
2018-12-28 11:11:07, [        conv][  13] : (   3,   32,   32,  128)
2018-12-28 11:11:07, [        selu][  14] : (   3,   32,   32,  128)
2018-12-28 11:11:09, [          bn][  15] : (   3,   32,   32,  128)
2018-12-28 11:11:17, ========== net_name = netG_2 ==========
2018-12-28 11:11:18, [       input][  15] : (   3,   32,   32,  128)
2018-12-28 11:11:18, [        conv][  16] : (   3,   16,   16,  128)
2018-12-28 11:11:19, [        selu][  17] : (   3,   16,   16,  128)
2018-12-28 11:11:20, [          bn][  18] : (   3,   16,   16,  128)
2018-12-28 11:11:20, [        conv][  19] : (   3,    8,    8,  128)
2018-12-28 11:11:21, [        selu][  20] : (   3,    8,    8,  128)
2018-12-28 11:11:22, [          bn][  21] : (   3,    8,    8,  128)
2018-12-28 11:11:22, [        conv][  22] : (   3,    1,    1,  128)
2018-12-28 11:11:23, [        selu][  23] : (   3,    1,    1,  128)
2018-12-28 11:11:23, [        conv][  24] : (   3,    1,    1,  128)
2018-12-28 11:11:24, ========== net_name = netG_3 ==========
2018-12-28 11:11:25, [       input][  15] : (   3,   32,   32,  128)
2018-12-28 11:11:25, [        conv][  25] : (   3,   32,   32,  128)
2018-12-28 11:11:26, [    g_concat][  26] : (   3,   32,   32,  256), use index [  24] : (   3,    1,    1,  128)
2018-12-28 11:12:12, [        conv][  27] : (   3,   32,   32,  128)
2018-12-28 11:12:13, [        selu][  28] : (   3,   32,   32,  128)
2018-12-28 11:12:15, [          bn][  29] : (   3,   32,   32,  128)
2018-12-28 11:12:16, [        conv][  30] : (   3,   32,   32,  128)
2018-12-28 11:12:18, [      resize][  31] : (   3,   64,   64,  128)
2018-12-28 11:12:18, [      concat][  32] : (   3,   64,   64,  256), use index [  10] : (   3,   64,   64,  128)
2018-12-28 11:12:19, [        selu][  33] : (   3,   64,   64,  256)
2018-12-28 11:12:19, [          bn][  34] : (   3,   64,   64,  256)
2018-12-28 11:12:20, [        conv][  35] : (   3,   64,   64,  128)
2018-12-28 11:12:21, [      resize][  36] : (   3,  128,  128,  128)
2018-12-28 11:12:21, [      concat][  37] : (   3,  128,  128,  192), use index [   7] : (   3,  128,  128,   64)
2018-12-28 11:12:22, [        selu][  38] : (   3,  128,  128,  192)
2018-12-28 11:12:23, [          bn][  39] : (   3,  128,  128,  192)
2018-12-28 11:12:24, [        conv][  40] : (   3,  128,  128,   64)
2018-12-28 11:12:24, [      resize][  41] : (   3,  256,  256,   64)
2018-12-28 11:12:25, [      concat][  42] : (   3,  256,  256,   96), use index [   4] : (   3,  256,  256,   32)
2018-12-28 11:12:26, [        selu][  43] : (   3,  256,  256,   96)
2018-12-28 11:12:42, [          bn][  44] : (   3,  256,  256,   96)
2018-12-28 11:12:43, [        conv][  45] : (   3,  256,  256,   32)
2018-12-28 11:12:44, [      resize][  46] : (   3,  512,  512,   32)
2018-12-28 11:12:44, [      concat][  47] : (   3,  512,  512,   48), use index [   1] : (   3,  512,  512,   16)
2018-12-28 11:12:45, [        selu][  48] : (   3,  512,  512,   48)
2018-12-28 11:12:46, [          bn][  49] : (   3,  512,  512,   48)
2018-12-28 11:12:47, [        conv][  50] : (   3,  512,  512,   16)
2018-12-28 11:12:47, [        selu][  51] : (   3,  512,  512,   16)
2018-12-28 11:12:49, [          bn][  52] : (   3,  512,  512,   16)
2018-12-28 11:12:50, [        conv][  53] : (   3,  512,  512,    3)
2018-12-28 11:12:50, [         res][  54] : (   3,  512,  512,    3), use index [   0] : (   3,  512,  512,    3)
2018-12-28 11:12:51, ========== net_name = netG_1 ==========
2018-12-28 11:12:51, [       input][   0] : (   3,  512,  512,    3)
2018-12-28 11:12:51, [        conv][   1] : (   3,  512,  512,   16)
2018-12-28 11:12:52, [        selu][   2] : (   3,  512,  512,   16)
2018-12-28 11:12:52, [          bn][   3] : (   3,  512,  512,   16)
2018-12-28 11:12:52, [        conv][   4] : (   3,  256,  256,   32)
2018-12-28 11:12:53, [        selu][   5] : (   3,  256,  256,   32)
2018-12-28 11:12:53, [          bn][   6] : (   3,  256,  256,   32)
2018-12-28 11:12:53, [        conv][   7] : (   3,  128,  128,   64)
2018-12-28 11:12:54, [        selu][   8] : (   3,  128,  128,   64)
2018-12-28 11:12:54, [          bn][   9] : (   3,  128,  128,   64)
2018-12-28 11:12:54, [        conv][  10] : (   3,   64,   64,  128)
2018-12-28 11:12:55, [        selu][  11] : (   3,   64,   64,  128)
2018-12-28 11:12:55, [          bn][  12] : (   3,   64,   64,  128)
2018-12-28 11:12:56, [        conv][  13] : (   3,   32,   32,  128)
2018-12-28 11:12:56, [        selu][  14] : (   3,   32,   32,  128)
2018-12-28 11:13:17, [          bn][  15] : (   3,   32,   32,  128)
2018-12-28 11:13:17, ========== net_name = netG_2 ==========
2018-12-28 11:13:18, [       input][  15] : (   3,   32,   32,  128)
2018-12-28 11:13:18, [        conv][  16] : (   3,   16,   16,  128)
2018-12-28 11:13:19, [        selu][  17] : (   3,   16,   16,  128)
2018-12-28 11:13:19, [          bn][  18] : (   3,   16,   16,  128)
2018-12-28 11:13:19, [        conv][  19] : (   3,    8,    8,  128)
2018-12-28 11:13:20, [        selu][  20] : (   3,    8,    8,  128)
2018-12-28 11:13:20, [          bn][  21] : (   3,    8,    8,  128)
2018-12-28 11:13:23, [        conv][  22] : (   3,    1,    1,  128)
2018-12-28 11:13:23, [        selu][  23] : (   3,    1,    1,  128)
2018-12-28 11:13:23, [        conv][  24] : (   3,    1,    1,  128)
2018-12-28 11:13:24, ========== net_name = netG_3 ==========
2018-12-28 11:13:24, [       input][  15] : (   3,   32,   32,  128)
2018-12-28 11:13:24, [        conv][  25] : (   3,   32,   32,  128)
2018-12-28 11:13:25, [    g_concat][  26] : (   3,   32,   32,  256), use index [  24] : (   3,    1,    1,  128)
2018-12-28 11:13:25, [        conv][  27] : (   3,   32,   32,  128)
2018-12-28 11:13:26, [        selu][  28] : (   3,   32,   32,  128)
2018-12-28 11:13:26, [          bn][  29] : (   3,   32,   32,  128)
2018-12-28 11:13:26, [        conv][  30] : (   3,   32,   32,  128)
2018-12-28 11:13:27, [      resize][  31] : (   3,   64,   64,  128)
2018-12-28 11:13:27, [      concat][  32] : (   3,   64,   64,  256), use index [  10] : (   3,   64,   64,  128)
2018-12-28 11:13:27, [        selu][  33] : (   3,   64,   64,  256)
2018-12-28 11:13:28, [          bn][  34] : (   3,   64,   64,  256)
2018-12-28 11:13:28, [        conv][  35] : (   3,   64,   64,  128)
2018-12-28 11:13:28, [      resize][  36] : (   3,  128,  128,  128)
2018-12-28 11:13:29, [      concat][  37] : (   3,  128,  128,  192), use index [   7] : (   3,  128,  128,   64)
2018-12-28 11:13:29, [        selu][  38] : (   3,  128,  128,  192)
2018-12-28 11:13:29, [          bn][  39] : (   3,  128,  128,  192)
2018-12-28 11:13:30, [        conv][  40] : (   3,  128,  128,   64)
2018-12-28 11:13:30, [      resize][  41] : (   3,  256,  256,   64)
2018-12-28 11:13:31, [      concat][  42] : (   3,  256,  256,   96), use index [   4] : (   3,  256,  256,   32)
2018-12-28 11:13:31, [        selu][  43] : (   3,  256,  256,   96)
2018-12-28 11:13:31, [          bn][  44] : (   3,  256,  256,   96)
2018-12-28 11:13:32, [        conv][  45] : (   3,  256,  256,   32)
2018-12-28 11:13:32, [      resize][  46] : (   3,  512,  512,   32)
2018-12-28 11:13:32, [      concat][  47] : (   3,  512,  512,   48), use index [   1] : (   3,  512,  512,   16)
2018-12-28 11:13:33, [        selu][  48] : (   3,  512,  512,   48)
2018-12-28 11:13:33, [          bn][  49] : (   3,  512,  512,   48)
2018-12-28 11:13:34, [        conv][  50] : (   3,  512,  512,   16)
2018-12-28 11:13:34, [        selu][  51] : (   3,  512,  512,   16)
2018-12-28 11:13:34, [          bn][  52] : (   3,  512,  512,   16)
2018-12-28 11:13:35, [        conv][  53] : (   3,  512,  512,    3)
2018-12-28 11:13:35, [         res][  54] : (   3,  512,  512,    3), use index [   0] : (   3,  512,  512,    3)
2018-12-28 11:13:36, [netD] architecture_log :
2018-12-28 11:13:36, ========== net_name = netD_1 ==========
2018-12-28 11:13:36, [       input][   0] : (   3,  512,  512,    3)
2018-12-28 11:13:36, [        conv][   1] : (   3,  512,  512,   16)
2018-12-28 11:13:38, [       lrelu][   2] : (   3,  512,  512,   16)
2018-12-28 11:13:39, [          in][   3] : (   3,  512,  512,   16)
2018-12-28 11:13:39, [        conv][   4] : (   3,  256,  256,   32)
2018-12-28 11:13:39, [       lrelu][   5] : (   3,  256,  256,   32)
2018-12-28 11:13:40, [          in][   6] : (   3,  256,  256,   32)
2018-12-28 11:13:40, [        conv][   7] : (   3,  128,  128,   64)
2018-12-28 11:13:41, [       lrelu][   8] : (   3,  128,  128,   64)
2018-12-28 11:14:02, [          in][   9] : (   3,  128,  128,   64)
2018-12-28 11:14:02, [        conv][  10] : (   3,   64,   64,  128)
2018-12-28 11:14:02, [       lrelu][  11] : (   3,   64,   64,  128)
2018-12-28 11:14:03, [          in][  12] : (   3,   64,   64,  128)
2018-12-28 11:14:03, [        conv][  13] : (   3,   32,   32,  128)
2018-12-28 11:14:03, [       lrelu][  14] : (   3,   32,   32,  128)
2018-12-28 11:14:04, [          in][  15] : (   3,   32,   32,  128)
2018-12-28 11:14:05, [        conv][  16] : (   3,   16,   16,  128)
2018-12-28 11:14:05, [       lrelu][  17] : (   3,   16,   16,  128)
2018-12-28 11:14:05, [          in][  18] : (   3,   16,   16,  128)
2018-12-28 11:14:06, [        conv][  19] : (   3,    1,    1,    1)
2018-12-28 11:14:06, [ reduce_mean][  20] : (   3)
2018-12-28 11:14:06, ========== net_name = netD_1 ==========
2018-12-28 11:14:07, [       input][   0] : (   3,  512,  512,    3)
2018-12-28 11:14:07, [        conv][   1] : (   3,  512,  512,   16)
2018-12-28 11:14:07, [       lrelu][   2] : (   3,  512,  512,   16)
2018-12-28 11:14:08, [          in][   3] : (   3,  512,  512,   16)
2018-12-28 11:14:08, [        conv][   4] : (   3,  256,  256,   32)
2018-12-28 11:14:09, [       lrelu][   5] : (   3,  256,  256,   32)
2018-12-28 11:14:09, [          in][   6] : (   3,  256,  256,   32)
2018-12-28 11:14:09, [        conv][   7] : (   3,  128,  128,   64)
2018-12-28 11:14:10, [       lrelu][   8] : (   3,  128,  128,   64)
2018-12-28 11:14:10, [          in][   9] : (   3,  128,  128,   64)
2018-12-28 11:14:10, [        conv][  10] : (   3,   64,   64,  128)
2018-12-28 11:14:11, [       lrelu][  11] : (   3,   64,   64,  128)
2018-12-28 11:14:11, [          in][  12] : (   3,   64,   64,  128)
2018-12-28 11:14:11, [        conv][  13] : (   3,   32,   32,  128)
2018-12-28 11:14:11, [       lrelu][  14] : (   3,   32,   32,  128)
2018-12-28 11:14:12, [          in][  15] : (   3,   32,   32,  128)
2018-12-28 11:14:12, [        conv][  16] : (   3,   16,   16,  128)
2018-12-28 11:14:12, [       lrelu][  17] : (   3,   16,   16,  128)
2018-12-28 11:14:12, [          in][  18] : (   3,   16,   16,  128)
2018-12-28 11:14:13, [        conv][  19] : (   3,    1,    1,    1)
2018-12-28 11:14:13, [ reduce_mean][  20] : (   3)