created feature vectors

src/create_feature_vectors.py

@@ -7,8 +7,9 @@ from feature_vector import FeatureVector
 from concept import Concept
 from feature import Feature
 
-img_path = "/Users/denysseredenko/StreetsignRecognition/data"
+img_path = os.path.abspath(os.path.join(__file__, "..", "..", "data", "processed"))
-vector_path = "/Users/denysseredenko/StreetsignRecognition/vector"
+vector_path = os.path.abspath(os.path.join(__file__, "..", "..", "data", "vectors"))
+csv_path = os.path.abspath(os.path.join(__file__, "..", "feature_vectors.csv"))
 
 def get_concept(path) -> Concept:
     if "fahrtrichtung_links" in path:
@@ -27,6 +28,11 @@ def get_concept(path) -> Concept:
         return Concept.UNKNOWN
 
 if __name__ == "__main__":
+    # create csv file and insert headers
+    with open(csv_path, "w") as csv_file:
+                csv_writer = csv.writer(csv_file, delimiter=";")
+                csv_writer.writerow(["filename", "concept", "vector"])
+
     # go to every file in img_path
     for dirpath, dnames, fnames in os.walk(img_path):
         save_path = os.path.join(dirpath.replace(img_path, vector_path))
@@ -37,7 +43,11 @@ if __name__ == "__main__":
 
         for fname in fnames:
             image_path = os.path.join(dirpath, fname)
-            print(image_path)
+
+            # only create vectors of images in directory 0 (normal brightness)
+            if not "0\\3500" in image_path:
+                continue
+            
             try:
                 # prepare image
                 image = cv.imread(image_path)
@@ -66,6 +76,9 @@ if __name__ == "__main__":
             vec.add_feature(Feature.OVERALL_COLOR_PERCENTAGE, color_percentage_overall)
             vec.add_feature(Feature.RASTER_COLOR_PERCENTAGE, color_percentage_rasters)
 
-            print(vec.get_vector())
+            with open(csv_path, "a") as csv_file:
-            vec_path = os.path.join(save_path, fname.split('.')[0])
+                csv_writer = csv.writer(csv_file, delimiter=";", lineterminator="\n")
+                csv_writer.writerow([fname, concept, vec.get_vector()])
+            
+            vec_path = os.path.join(save_path, fname.replace(".jpg", ".pkl"))
             vec.save(vec_path)

src/featue_extraction.py

@@ -78,7 +78,7 @@ def get_corners(gray_image: cv.Mat):
     min_distance = 1
     corners = cv.goodFeaturesToTrack(cv.blur(gray_image, (5,5)), maxCorners=max_corners, qualityLevel=quality_level, minDistance=min_distance)
     if corners is not None:
-        corners = np.int0(corners)  
+        corners = np.intp(corners) # int0 not working for me :(
         return len(corners)
     else:
         return 0