Update readme.md

docs/TESTS/Test2_DeepLabV3+/readme.md

@@ -22,12 +22,14 @@ This will run the pretrained model on all images in Cityscapes val, compute and
 
 ##### eval_on_val_for_metrics
       Run: 4_eval_on_val_for_metrics.ipynb
-This will run the pretrained model on all images in Cityscapes val, upsample the predicted segmentation images to the original Cityscapes image size (1024, 2048), and compute and print performance metrics.
+This will run the pretrained model on all images in Cityscapes val, upsample the predicted segmentation images to the original Cityscapes image size (1024, 2048), and compute and print performance metrics
+
 ---
 #### 5. Visualization
 ##### run_on_seq
       Run: 5_run_on_seq.ipynb
 This will run the pretrained model (set on line 33 in run_on_seq.py) on all images in the Cityscapes demo sequences (stuttgart_00, stuttgart_01 and stuttgart_02) and create a visualization video for each sequence, which is saved to deeplabv3/training_logs/model_eval_seq. See Youtube video: https://www.youtube.com/watch?v=9e2x4dDRB-k&feature=youtu.be&themeRefresh=1
+
 ##### run_on_thn_seq
       Run: 6run_on_thn_seq.ipynb
 This will run the pretrained model (set on line 31 in run_on_thn_seq.py) on all images in the Thn sequence (real-life sequence collected with a standard dash cam) and create a visualization video, which is saved to deeplabv3/training_logs/model_eval_seq_thn. See Youtube video:  https://www.youtube.com/watch?v=9e2x4dDRB-k&feature=youtu.be&themeRefresh=1