Use the following command:
python main.py --template MLEFGN --save MLEFGN_Gray_15 --scale 1 --reset --save_results --patch_size 64 --ext sep_reset
I got model_best.pt from Train/experiment/MLEFGN_Gray_15/model
But,when I use the following command to test,
python main.py --data_test MyImage --scale 1 --model MLEGN --pre_train ../model/model_best.pt --test_only --save_results --chop --save "MLEFGN_Gray_15" --testpath ../LR/LRBI --testset Set12
I got an edge detection image.

How can I get a image denoising model?
Use the following command:

python main.py --template MLEFGN --save MLEFGN_Gray_15 --scale 1 --reset --save_results --patch_size 64 --ext sep_reset
I got model_best.pt from Train/experiment/MLEFGN_Gray_15/model
But,when I use the following command to test,
python main.py --data_test MyImage --scale 1 --model MLEGN --pre_train ../model/model_best.pt --test_only --save_results --chop --save "MLEFGN_Gray_15" --testpath ../LR/LRBI --testset Set12
I got an edge detection image.
How can I get a image denoising model?