This repository borrows heavily from BasicSR.
If you are a beginner of BasicSR, please refer to BasicSR.
Compared with BasicSR, the option files could be more simple with a base
key:
base:
- options/base/dataset/pretrain/SID_raw_gt.yaml # train dataset
- options/base/dataset/test/SID_SonyA7S2_val_split.yaml # test dataset
- options/base/network_g/repnr_unet.yaml # network_g
- options/base/noise_g/noise_g_virtual.yaml # noise_g
- options/base/pretrain/MM22_PMN.yaml # train
- options/base/val_and_logger.yaml # val + logger
name: LED_Pretrain_MM22_PMN_Setting
model_type: RAWImageDenoisingModel
scale: 1
num_gpu: 1
manual_seed: 2022
path:
pretrain_network_g: ~
predefined_noise_g: ~
strict_load_g: true
resume_state: ~
CRF: datasets/EMoR
val:
illumination_correct: true
Just use the relative path to project root directory for a cleaner and simpler config files!