| execution at 2020-11-09_23-59-04 | |
| seed: 1604937544 | |
| num_workers: 7 | |
| device_type: cuda | |
| device_index: 0 | |
| n_GPUs: 2 | |
| distributed: True | |
| launched: True | |
| master_addr: 127.0.0.1 | |
| master_port: 8023 | |
| dist_backend: nccl | |
| init_method: env:// | |
| rank: 0 | |
| world_size: 1 | |
| data_root: /data/ssd/public/czli/deblur | |
| dataset: None | |
| data_train: GOPRO_Large | |
| data_val: None | |
| data_test: GOPRO_Large | |
| blur_key: blur_gamma | |
| rgb_range: 1 | |
| model: RaftNets | |
| pretrained: | |
| n_scales: 5 | |
| detach: False | |
| gaussian_pyramid: True | |
| n_resblocks: 10 | |
| n_feats: 64 | |
| kernel_size: 5 | |
| downsample: Gaussian | |
| precision: single | |
| amp: True | |
| init_scale: 1024.0 | |
| patch_size: 256 | |
| batch_size: 8 | |
| split_batch: 1 | |
| augment: True | |
| validate_every: 10 | |
| test_every: 10 | |
| do_train: True | |
| do_validate: False | |
| do_test: True | |
| demo: False | |
| demo_input_dir: | |
| demo_output_dir: | |
| lr: 0.0001 | |
| milestones: [500, 750, 900] | |
| scheduler: step | |
| gamma: 0.5 | |
| optimizer: ADAM | |
| momentum: 0.9 | |
| betas: (0.9, 0.999) | |
| epsilon: 1e-08 | |
| weight_decay: 0 | |
| clip: 2.0 | |
| loss: 1*MSE | |
| metric: PSNR,SSIM | |
| decay_gamma: 0.6 | |
| save_dir: ../experiment/RAFTNET_MSE_R5_rtx | |
| start_epoch: 1 | |
| end_epoch: 1000 | |
| load_epoch: 0 | |
| save_every: 10 | |
| save_results: part | |
| stay: False | |
| template: | |
| execution at 2020-11-10_00-03-10 | |
| seed: 1604937790 | |
| num_workers: 7 | |
| device_type: cuda | |
| device_index: 0 | |
| n_GPUs: 2 | |
| distributed: True | |
| launched: True | |
| master_addr: 127.0.0.1 | |
| master_port: 8023 | |
| dist_backend: nccl | |
| init_method: env:// | |
| rank: 0 | |
| world_size: 1 | |
| data_root: /data/ssd/public/czli/deblur | |
| dataset: None | |
| data_train: GOPRO_Large | |
| data_val: None | |
| data_test: GOPRO_Large | |
| blur_key: blur_gamma | |
| rgb_range: 1 | |
| model: RaftNets | |
| pretrained: | |
| n_scales: 5 | |
| detach: False | |
| gaussian_pyramid: True | |
| n_resblocks: 10 | |
| n_feats: 64 | |
| kernel_size: 5 | |
| downsample: Gaussian | |
| precision: single | |
| amp: True | |
| init_scale: 1024.0 | |
| patch_size: 256 | |
| batch_size: 8 | |
| split_batch: 1 | |
| augment: True | |
| validate_every: 10 | |
| test_every: 10 | |
| do_train: True | |
| do_validate: False | |
| do_test: True | |
| demo: False | |
| demo_input_dir: | |
| demo_output_dir: | |
| lr: 0.0001 | |
| milestones: [500, 750, 900] | |
| scheduler: step | |
| gamma: 0.5 | |
| optimizer: ADAM | |
| momentum: 0.9 | |
| betas: (0.9, 0.999) | |
| epsilon: 1e-08 | |
| weight_decay: 0 | |
| clip: 2.0 | |
| loss: 1*MSE | |
| metric: PSNR,SSIM | |
| decay_gamma: 0.6 | |
| save_dir: ../experiment/RAFTNET_MSE_R5_rtx | |
| start_epoch: 1 | |
| end_epoch: 1000 | |
| load_epoch: 0 | |
| save_every: 10 | |
| save_results: part | |
| stay: False | |
| template: | |