Add: Modularized perspective detection

- Merge perspective_items.py to utils.py under map_detection
- Add assets of homography_transformation

module/map_detection/detector_example.py

@@ -0,0 +1,47 @@
+import numpy as np
+
+from module.config.config import AzurLaneConfig
+
+
+class DetectionBackendExample:
+    """
+    Example for map detection backend.
+    """
+
+    def __init__(self, config):
+        """
+        Args:
+            config (AzurLaneConfig):
+        """
+        self.config = config
+
+    """
+    Input
+    """
+    def load(self, image):
+        """
+        Args:
+            image (np.ndarray): Shape (720, 1280, 3)
+        """
+        self.image = image
+        pass  # Do map detection here.
+
+    """
+    Output
+    """
+    image: np.ndarray
+    config: AzurLaneConfig
+    # Four edges in bool, or has attribute __bool__
+    left_edge: bool
+    right_edge: bool
+    lower_edge: bool
+    upper_edge: bool
+
+    # A method that yield grid location and corners.
+    def generate(self):
+        """
+        Yields (tuple): ((x, y), [upper-left, upper-right, bottom-left, bottom-right])
+        """
+        for x in range(8):
+            for y in range(5):
+                yield (x, y), [(0, 0), (100, 0), (0, 100), (100, 100)]