testtest

app.py

@@ -12,9 +12,9 @@ hybrid = None
 
 
 def getDenseMask(landmarks, h, w):
-    RL = landmarks[0:44]
-    LL = landmarks[44:94]
-    H = landmarks[94:]
+    RL = landmarks[0:52]
+    LL = landmarks[52:110]
+    H = landmarks[110:]
 
     img = np.zeros([h, w], dtype='uint8')
 
@@ -30,9 +30,9 @@ def getDenseMask(landmarks, h, w):
 
 
 def getMasks(landmarks, h, w):
-    RL = landmarks[0:44]
-    LL = landmarks[44:94]
-    H = landmarks[94:]
+    RL = landmarks[0:52]
+    LL = landmarks[52:110]
+    H = landmarks[110:]
 
     RL = RL.reshape(-1, 1, 2).astype('int')
     LL = LL.reshape(-1, 1, 2).astype('int')
@@ -51,8 +51,8 @@ def getMasks(landmarks, h, w):
 
 def calculate_image_tilt(landmarks):
     """Calculate image tilt angle based on lung symmetry"""
-    RL = landmarks[0:44]  # Right lung
-    LL = landmarks[44:94]  # Left lung
+    RL = landmarks[0:52]  # Right lung
+    LL = landmarks[52:110]  # Left lung
     
     # Find the topmost points of both lungs
     rl_top_idx = np.argmin(RL[:, 1])
@@ -98,7 +98,7 @@ def drawOnTop(img, landmarks, original_shape):
 
     image = np.clip(image, 0, 1)
 
-    RL, LL, H = landmarks[0:44], landmarks[44:94], landmarks[94:]
+    RL, LL, H = landmarks[0:52], landmarks[52:110], landmarks[110:]
 
     # Calculate image tilt and correct it for measurements
     tilt_angle, rl_top, ll_top = calculate_image_tilt(landmarks)
@@ -297,9 +297,9 @@ def calculate_ctr(landmarks, corrected_landmarks=None):
     if corrected_landmarks is not None:
         RL, LL, H, tilt_angle = corrected_landmarks
     else:
-        H = landmarks[94:]
-        RL = landmarks[0:44]
-        LL = landmarks[44:94]
+        H = landmarks[110:]
+        RL = landmarks[0:52]
+        LL = landmarks[52:110]
         tilt_angle = 0
     
     cardiac_width = np.max(H[:, 0]) - np.min(H[:, 0])