working

utils.py

@@ -0,0 +1,34 @@
+import cv2
+import numpy as np
+
+def recvall(sock, n):
+    data = b''
+    while len(data) < n:
+        packet = sock.recv(n - len(data))
+        if not packet:
+            return None
+        data += packet
+    return data
+
+def resize_with_padding(image, target_size=(640, 640)):
+    h, w = image.shape[:2]
+    target_w, target_h = target_size
+
+    # Oblicz współczynnik skalowania, zachowując proporcje
+    scale = min(target_w / w, target_h / h)
+    new_w, new_h = int(w * scale), int(h * scale)
+
+    # Resize obrazu
+    resized_image = cv2.resize(image, (new_w, new_h), interpolation=cv2.INTER_AREA)
+
+    # Stwórz tło (czarne) o wymiarach docelowych
+    output_image = np.zeros((target_h, target_w, 3), dtype=np.uint8)
+
+    # Oblicz offsety do wyśrodkowania obrazu
+    x_offset = (target_w - new_w) // 2
+    y_offset = (target_h - new_h) // 2
+
+    # Wklej resized image na tło
+    output_image[y_offset:y_offset+new_h, x_offset:x_offset+new_w] = resized_image
+
+    return output_image