add new feature to the README

extra/README.md

@@ -19,6 +19,13 @@
     1) Insert result json files into **predicted/**
     2) Run the python script: `python convert_pred_darkflow_json.py`
 
+- ### convert YOLO to our format:
+
+    1) Add class list to the file `class_list.txt`
+    2) Insert predicted objects files into **predicted/**
+    3) Insert images into **images/**
+    4) Run the python script: `python convert_pred_yolo.py`
+
 ## Remove specific char delimiter from files
 
 E.g. remove `;` from:

extra/convert_pred_yolo.py

@@ -42,7 +42,7 @@ def convert_yolo_coordinates_to_voc(x_c_n, y_c_n, width_n, height_n, img_width,
 # create VOC format files
 txt_list = glob.glob('*.txt')
 if len(txt_list) == 0:
-  print("Error: no .txt files found in ground-truth")
+  print("Error: no .txt files found in predicted")
   sys.exit()
 for tmp_file in txt_list:
   #print(tmp_file)
@@ -75,11 +75,9 @@ def convert_yolo_coordinates_to_voc(x_c_n, y_c_n, width_n, height_n, img_width,
     for line in content:
       ## split a line by spaces.
       ## "c" stands for center and "n" stands for normalized
-	  ## added conf for class confidence from Darknet Yolov2
       obj_id, conf, x_c_n, y_c_n, width_n, height_n = line.split()
       obj_name = obj_list[int(obj_id)]
       left, top, right, bottom = convert_yolo_coordinates_to_voc(x_c_n, y_c_n, width_n, height_n, img_width, img_height)
-      ## add new line to file - print conf, JeallyBeans/kuk
-      #print(obj_name + " " + str(left) + " " + str(top) + " " + str(right) + " " + str(bottom))
+      #print(obj_name + " " + str(conf) + " " + str(left) + " " + str(top) + " " + str(right) + " " + str(bottom))
       new_f.write(obj_name + " " + str(conf) + " " str(left) + " " + str(top) + " " + str(right) + " " + str(bottom) + '\n')
-print("Conversion completed!")
+print("Conversion completed!")