working

utils.py

@@ -1,3 +1,5 @@
+import math
+
 import cv2
 import numpy as np
 
@@ -10,8 +12,27 @@ def recvall(sock, n):
         data += packet
     return data
 
-def find_closest(target):
-    global moves
+def distance(p1, p2):
+    return math.sqrt((p2[0] - p1[0])**2 + (p2[1] - p1[1])**2)
+
+def normalize(move):
+    left_hip = move[11]  # Left Hip
+    right_hip = move[12]  # Right Hip
+
+    center = (left_hip + right_hip) / 2
+
+    normalized_keypoints = move - center
+    distances = np.linalg.norm(normalized_keypoints[:, :2], axis=1)
+    max_dist = np.max(distances)
+
+    if max_dist > 0:
+        normalized_keypoints[:, :2] /= max_dist
+
+    draw = normalized_keypoints[:, :2]
+
+    return draw
+
+def find_closest(moves, target):
     return min(moves, key=lambda t: abs(t[0] - target))
 
 def resize_with_padding(image, target_size=(640, 640)):