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image process: prepared for gaussian and median blur

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jens
2024-07-10 07:44:26 +02:00
parent 486fa1e645
commit eba6f068b4
1 changed files with 7 additions and 5 deletions
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ocv_corner_tracker.py
+7 -5
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@@ -140,9 +140,12 @@ class CornerTracker:
@staticmethod @staticmethod
def image_process(_image: np.array): def image_process(_image: np.array):
result = cv2.cvtColor(_image, cv2.COLOR_BGR2GRAY) _result = cv2.cvtColor(_image, cv2.COLOR_BGR2GRAY)
'''
return result _result = cv2.GaussianBlur(_result, (9, 9), 0)
_result = cv2.medianBlur(_result, 3)
'''
return _result
def init_reference_frame(self, _image: np.array): def init_reference_frame(self, _image: np.array):
# Draw mask # Draw mask
@@ -382,7 +385,7 @@ if __name__ == '__main__':
cv2.putText(image_anno, "FPS : " + str(int(fps)), (20, image_anno.shape[0] - 20), cv2.putText(image_anno, "FPS : " + str(int(fps)), (20, image_anno.shape[0] - 20),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (50, 170, 50), 1) cv2.FONT_HERSHEY_SIMPLEX, 0.5, (50, 170, 50), 1)
cv2.imshow(f"Image Anno", image_anno) cv2.imshow(f"Image Anno", cv2.medianBlur(image_anno, 3))
# Exit if ESC pressed # Exit if ESC pressed
k = cv2.waitKey(key_wait) & 0xff k = cv2.waitKey(key_wait) & 0xff
@@ -424,4 +427,3 @@ if __name__ == '__main__':
i += 1 i += 1
plt.show() plt.show()