Update other docs with dumb config options

codes/train.py

@@ -293,7 +293,7 @@ class Trainer:
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
-    parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_exd_mi1_rrdb_bigboi_pretrain.yml')
+    parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_faces_glean.yml')
     parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none', help='job launcher')
     parser.add_argument('--local_rank', type=int, default=0)
     args = parser.parse_args()

codes/utils/options.py

@@ -15,8 +15,6 @@ def parse(opt_path, is_train=True):
         print('export CUDA_VISIBLE_DEVICES=' + gpu_list)
 
     opt['is_train'] = is_train
-    if opt['distortion'] == 'sr' or opt['distortion'] == 'downsample':
-        scale = opt['scale']
 
     # datasets
     if 'datasets' in opt.keys():

recipes/byol/train_div2k_byol.yml

@@ -2,7 +2,6 @@
 name: train_div2k_byol
 use_tb_logger: true
 model: extensibletrainer
-distortion: sr
 scale: 1
 gpu_ids: [0]
 fp16: false

recipes/srflow/train_div2k_srflow.yml

@@ -2,7 +2,6 @@
 name: train_div2k_srflow
 use_tb_logger: true
 model: extensibletrainer
-distortion: sr
 scale: 4
 gpu_ids: [0]
 fp16: false
@@ -17,12 +16,10 @@ datasets:
     name: div2k
     mode: single_image_extensible
     paths: /content/div2k   # <-- Put your path here.
-    target_size: 160        # <-- SRFlow trains better with factors of 160 for some reason.
+    target_size: 160
     force_multiple: 1
     scale: 4
-    eval: False
     num_corrupts_per_image: 0
-    strict: false
 
 networks:
   generator: