pref: 20 cm adapter

test/test_decect.py

@@ -36,7 +36,7 @@ def detect_circle_v3(frame, laser_point=None, img_cv=None):
     print(f"[detect_circle_v3] begin {datetime.now()}")
     # -- 1. 缩图加速（与三角形路径保持一致）
     h_orig, w_orig = img_cv.shape[:2]
-    MAX_DET_DIM = 320
+    MAX_DET_DIM = 480
     long_side = max(h_orig, w_orig)
     if long_side > MAX_DET_DIM:
         det_scale = MAX_DET_DIM / long_side
@@ -81,10 +81,10 @@ def detect_circle_v3(frame, laser_point=None, img_cv=None):
     red_candidates = []
     for cnt_r in contours_red:
         ar = cv2.contourArea(cnt_r)
-        if ar <= 30:
+        if ar <= 10:
             continue
         pr = cv2.arcLength(cnt_r, True)
-        if pr <= 0 or (4 * np.pi * ar) / (pr * pr) <= 0.4:
+        if pr <= 0 or (4 * np.pi * ar) / (pr * pr) <= 0.3:
             continue
         if len(cnt_r) >= 5:
             (xr, yr), (wr, hr), _ = cv2.fitEllipse(cnt_r)
@@ -100,13 +100,13 @@ def detect_circle_v3(frame, laser_point=None, img_cv=None):
     valid_targets = []
     for cnt_yellow in contours_yellow:
         area = cv2.contourArea(cnt_yellow)
-        if area <= 50:
+        if area <= 15:
             continue
         perimeter = cv2.arcLength(cnt_yellow, True)
         if perimeter <= 0:
             continue
         circularity = (4 * np.pi * area) / (perimeter * perimeter)
-        if circularity <= 0.7:
+        if circularity <= 0.5:
             continue
         print(f"[target] -> 面积:{area:.1f}, 圆度:{circularity:.2f}")
         if len(cnt_yellow) >= 5: