add nasa script

template/maps/process.py

@@ -1,76 +0,0 @@
-import cv2
-import numpy as np
-
-def extract_green_polygons(image_path):
-    # 1. 读取图片
-    img = cv2.imread(image_path)
-    if img is None:
-        print("无法读取图片")
-        return []
-
-    # 获取图片尺寸
-    height, width = img.shape[:2]
-    
-    # 定义目标坐标系范围
-    target_w, target_h = 1465, 715
-
-    # 2. 转换颜色空间到 HSV 以便提取绿色
-    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
-
-    # 定义绿色的 HSV 范围
-    lower_green = np.array([35, 20, 200]) 
-    upper_green = np.array([85, 255, 255])
-
-    # 3. 创建掩膜 (Mask)
-    mask = cv2.inRange(hsv, lower_green, upper_green)
-
-    # 4. 图像形态学处理
-    kernel = np.ones((3,3), np.uint8)
-    mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)
-    mask = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel)
-
-    # 5. 查找轮廓
-    contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
-
-    polygons = []
-
-    for i, contour in enumerate(contours):
-        # 过滤掉太小的区域
-        if cv2.contourArea(contour) < 100: 
-            continue
-
-        points = []
-        # 6. 坐标转换
-        for point in contour:
-            px, py = point[0]
-            
-            # 【修改点1】：这里显式转换成 float()，去除 numpy 类型包裹
-            # X 轴转换: 线性缩放
-            new_x = float((px / width) * target_w)
-            
-            # Y 轴转换: 图像坐标系 -> 笛卡尔坐标系
-            new_y = float(((height - py) / height) * target_h)
-            
-            # 保留两位小数
-            points.append((round(new_x, 2), round(new_y, 2)))
-        
-        polygons.append({
-            "id": i,
-            "vertex_count": len(points),
-            "coordinates": points
-        })
-
-    return polygons
-
-# --- 使用说明 ---
-results = extract_green_polygons("golden_gate_bridge.png")
-
-if not results:
-    print("未找到多边形或图片读取失败")
-else:
-    for poly in results:
-        print(f"--- 多边形 ID: {poly['id']} (顶点数: {poly['vertex_count']}) ---")
-        # 【修改点2】：遍历坐标列表，每行输出两个数字 (x y)
-        for x, y in poly['coordinates']:
-            print(f"{x}, {y}")
-        print("") # 每个多边形之间空一行，方便区分