update for rectify parameter

README.md

@@ -2,14 +2,14 @@
 ![CI](https://github.com/fcakyon/craft-text-detector/workflows/CI/badge.svg)
 
 ## CRAFT: Character-Region Awareness For Text detection
-Packaged Version of the Official Pytorch implementation of CRAFT text detector | [Paper](https://arxiv.org/abs/1904.01941) |  [Supplementary](https://youtu.be/HI8MzpY8KMI) | 
+Packaged Version of the Official Pytorch implementation of CRAFT text detector | [Paper](https://arxiv.org/abs/1904.01941) |  [Supplementary](https://youtu.be/HI8MzpY8KMI) |
 
 **[Youngmin Baek](mailto:[email protected]), Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee.**
- 
+
  **Package maintainer: Fatih Cagatay Akyon**
- 
+
 ### Overview
-PyTorch implementation for CRAFT text detector that effectively detect text area by exploring each character region and affinity between characters. The bounding box of texts are obtained by simply finding minimum bounding rectangles on binary map after thresholding character region and affinity scores. 
+PyTorch implementation for CRAFT text detector that effectively detect text area by exploring each character region and affinity between characters. The bounding box of texts are obtained by simply finding minimum bounding rectangles on binary map after thresholding character region and affinity scores.
 
 <img width="1000" alt="teaser" src="./figures/craft_example.gif">
 
@@ -54,26 +54,26 @@ craft_net = craft.load_craftnet_model()
 
 # perform prediction
 bboxes, polys, heatmap = craft.get_prediction(image=image,
-	                                      craft_net=craft_net,
-	                                      refine_net=refine_net,
-	                                      text_threshold=0.7,
-	                                      link_threshold=0.4,
-	                                      low_text=0.4,
-	                                      cuda=True,
-	                                      show_time=True)
+    	                                      craft_net=craft_net,
+    	                                      refine_net=refine_net,
+    	                                      text_threshold=0.7,
+    	                                      link_threshold=0.4,
+    	                                      low_text=0.4,
+    	                                      cuda=True,
+    	                                      show_time=True)
 
 # export detected text regions
 craft.export_detected_regions(image_path=image_path,
-			      image=image,
-			      regions=polys,
-			      output_dir=output_dir)
+                              image=image,
+                              regions=polys,
+                              output_dir=output_dir,
+                              rectify=rectify)
 
 # export heatmap, detection points, box visualization
 craft.export_extra_results(image_path=image_path,
-	                   image=image,
+    	                   image=image,
                            regions=polys,
                            heatmap=heatmap,
-                           output_dir=output_dir,
-                           smooth_contour=True)
+                           output_dir=output_dir)
 ```