Some improvements from last and this year.

Author: Michal-Fularz

image_processing_course/ipc_s01e05.py

@@ -14,6 +14,16 @@ def ex_0():
     print(f'{len(keypoints_no_supression)=}')
     fast_supression = cv2.FastFeatureDetector_create(threshold=threshold, nonmaxSuppression=True)
     keypoints_supression : List[cv2.KeyPoint] = fast_supression.detect(img_gray)
+
+    orb = cv2.ORB_create()
+    sift = cv2.xfeatures2d.SIFT_create()
+
+    keypoints_sift = sift.detect(img_gray)
+    keypoints_orb = orb.detect(img_gray)
+
+    img_with_keypoints_sift = cv2.drawKeypoints(img, keypoints_sift, None, color=(255, 0, 0))
+    img_with_keypoints_orb = cv2.drawKeypoints(img, keypoints_orb, None, color=(255, 0, 0))
+
     print(f'{len(keypoints_supression)=}')
     img_with_keypoints = cv2.drawKeypoints(img, keypoints_supression, None, color=(255, 0, 0))
 
@@ -22,7 +32,9 @@ def ex_0():
         print(f'{kp.angle=}')
         print(f'{kp.response=}')
 
-    cv2.imshow('point feature detector', img_with_keypoints)
+    cv2.imshow('point feature detector fast', img_with_keypoints)
+    cv2.imshow('point feature detector orb', img_with_keypoints_orb)
+    cv2.imshow('point feature detector sift', img_with_keypoints_sift)
     cv2.waitKey(0)
     cv2.destroyAllWindows()
 
@@ -59,6 +71,7 @@ def ex_1():
     detector = cv2.AKAZE_create()
     # detector = cv2.FastFeatureDetector_create(threshold=30, nonmaxSuppression=True)
     # descriptor = cv2.ORB_create()
+    # descriptor = cv2.xfeatures2d.SIFT_create()
     descriptor = cv2.xfeatures2d.BriefDescriptorExtractor_create()
     # descriptor = cv2.AKAZE_create()
     # descriptor = cv2.BRISK_create()

image_processing_course/ipc_s01e08.py

@@ -6,6 +6,9 @@ def task_1():
     def empty(_):
         pass
 
+    # tomatoes - H: 0-6, S: 90-...
+    # apples - H: 25-50, S: 90-...
+
     image = cv2.imread('./../_data/s01e08/tomatoes_and_apples.jpg')
     image = cv2.resize(image, (image.shape[0] // 2, image.shape[1] // 2), interpolation=cv2.INTER_AREA)
 
@@ -29,7 +32,6 @@ def empty(_):
         high_s = cv2.getTrackbarPos('high S', 'image')
         low_v = cv2.getTrackbarPos('low V', 'image')
         high_v = cv2.getTrackbarPos('high V', 'image')
-        # H: 25-50, S: 80-255, V: 0;255
         threshold = cv2.inRange(image_hsv, (low_h, low_s, low_v), (high_h, high_s, high_v))
         cv2.imshow('threshold', threshold)
         key = cv2.waitKey(10)

vision_systems/s01e05.py

@@ -63,6 +63,7 @@ def ex_1():
     print(f'{img_prewitt_x[100:105, 100:105]}')
     print(f'{abs(img_prewitt_x[100:105, 100:105])}')
     print(f'{img_prewitt_x[100:105, 100:105].astype(np.uint8)}')
+    print(f'{abs(img_prewitt_x[100:105, 100:105]).astype(np.uint8)}')
     print(f'{img_prewitt_x_int[100:105, 100:105]}')
 
     img_gradient = cv2.sqrt(cv2.pow(img_prewitt_x, 2) + cv2.pow(img_prewitt_y, 2))