🔄Update: [Lab-1] RGB 通道分离

Lab-1/src/rgb_img.py

@@ -0,0 +1,34 @@
+import cv2
+from read_img import read_img
+
+def show_img_rgb(path):
+    inner_img = read_img(path)
+
+    # 检查通道数
+    if len(inner_img.shape) == 3:
+        channels = inner_img.shape[2]
+        if channels == 4:
+            print("图像是四通道（RGBA）")
+            # 分离RGBA通道
+            b, g, r, a = cv2.split(inner_img)
+            cv2.imshow('Blue', b)
+            cv2.imshow('Green', g)
+            cv2.imshow('Red', r)
+            cv2.imshow('Alpha', a)
+        elif channels == 3:
+            print("图像是三通道（BGR）")
+            b, g, r = cv2.split(inner_img)
+            cv2.imshow('Blue', b)
+            cv2.imshow('Green', g)
+            cv2.imshow('Red', r)
+        else:
+            print(f"图像是{channels}通道")
+    else:
+        print("图像是单通道（灰度图）")
+        cv2.imshow('Grayscale', inner_img)
+
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()
+
+if __name__ == '__main__':
+    show_img_rgb('../img/1.jpeg')