Update README.md

README.md

@@ -61,7 +61,10 @@ You can precise the training data with the arguments noisy_train, clean_train. A
 The data are generated with the generate_patches_holo.py and generate_patches_holo_fromMAT.py scripts and saved in a directory named "data1".
 ```
 #launch a training with the following data
-python3 main_holo.py --noisy_train data1/img_noisy_train_1-2-3-4-5_0-1-1.5-2-2.5_two_50_50_384.npy --clean_train data1/img_clean_train_1-2-3-4-5_0-1-1.5-2-2.5_two_50_50_384.npy --eval_patterns 1 2 3 --eval_noises "0-1-1.5"
+python3 main_holo.py 
+--noisy_train data1/img_noisy_train_1-2-3-4-5_0-1-1.5-2-2.5_two_50_50_384.npy 
+--clean_train data1/img_clean_train_1-2-3-4-5_0-1-1.5-2-2.5_two_50_50_384.npy 
+--eval_patterns 1 2 3 --eval_noises "0-1-1.5"
 ```
 
 You can also precise the different hyperparameters for the training
@@ -91,16 +94,26 @@ To do a de-noising operation you have to use the test_mode argument.
 You can use the argument test_noisy_img, test_noisy_key, test_clean_img and test_clean_key to precise which image you want to de-noise
 The clean image will only be used to give the level of remaining noise after the de-noising operation. If you don't have a clean reference just give the noisy reference again.
 ```
-#launch a denoising operation on the image DATA_1_Phase_Type1_2_0.25_1.5_4_50.mat with the model experiment_xxx at the epoch 130
-python3 main_holo.py --test_mode --test_noisy_img Holography/DATAEVAL/DATAEVAL/DATA_1_Phase_Type1_2_0.25_1.5_4_50.mat --test_noisy_key 'Phaseb' --test_clean_img Holography/DATAEVAL/DATAEVAL/DATA_1_Phase_Type1_2_0.25_1.5_4_50.mat --test_clean_key 'Phase' --input_dir PyTorchExperiments/experiment_xxx --epoch 130
+#launch a denoising operation on the image DATA_1_Phase_Type1_2_0.25_1.5_4_50.mat
+#with the model experiment_xxx at the epoch 130
+python3 main_holo.py --test_mode 
+--test_noisy_img Holography/DATAEVAL/DATAEVAL/DATA_1_Phase_Type1_2_0.25_1.5_4_50.mat 
+--test_noisy_key 'Phaseb' 
+--test_clean_img Holography/DATAEVAL/DATAEVAL/DATA_1_Phase_Type1_2_0.25_1.5_4_50.mat 
+--test_clean_key 'Phase' 
+--input_dir PyTorchExperiments/experiment_xxx --epoch 130
 
 #launch a denoising operation on the image test.jpg with the model experiment_xxx at the epoch 130
-python3 main_holo.py --test_mode --test_noisy_img test.jpg --test_clean_img test.jpg --input_dir PyTorchExperiments/experiment_xxx --epoch 130
+python3 main_holo.py --test_mode 
+--test_noisy_img test.jpg 
+--test_clean_img test.jpg 
+--input_dir PyTorchExperiments/experiment_xxx --epoch 130
 ```
 
 If you do not give an image to de-noise, an evaluation of the entire training and testing database will be done start.
 ```
-#launch a denoising operation on the 25 images of Holography/DATABASE and Holography/DATAEVAL/DATAEVAL database with the model experiment_xxx at the epoch 130
+#launch a denoising operation on the 25 images of Holography/DATABASE and Holography/DATAEVAL/DATAEVAL 
+#database with the model experiment_xxx at the epoch 130
 python3 main_holo.py --test_mode --input_dir PyTorchExperiments/experiment_xxx --epoch 130
 ```