fix gamma值调整评分

test/{test_score_adjustment_demo.py → score_adjustment_demo_test.py}

@@ -2,29 +2,29 @@ def adjust_score(score, threshold, gamma):
     """根据阈值和gamma值调整评分"""
     if score < threshold:
         adjusted = threshold - gamma * (threshold - score)
-        return round(min(10.0, max(0.0, adjusted)), 1)
+        return round(min(100.0, max(0.0, adjusted)), 2)
     return score
 
-# 默认参数 (T=9.0, γ=0.5)
-default_threshold = 9.0
+# 默认参数
+default_threshold = 90.0
 default_gamma = 0.5
 
-# 新参数1 (T=8.0, γ=0.5)
-new_threshold_1 = 9
-new_gamma_1 = 0.9
+# 新参数1
+new_threshold_1 = 90.0
+new_gamma_1 = 0.55
 
-# 新参数2 (T=8.0, γ=0.3)
-new_threshold_2 = 9
+# 新参数2
+new_threshold_2 = 90.0
 new_gamma_2 = 0.8
 
-print(f"原始分\tT={default_threshold},y={default_gamma}\tT={new_threshold_1},γ={new_gamma_1}\tT={new_threshold_2},γ={new_gamma_2}")
+print(f"原始分\tT={default_threshold},g={default_gamma}\tT={new_threshold_1},g={new_gamma_1}\tT={new_threshold_2},g={new_gamma_2}")
 print("-----\t----------\t----------\t----------")
 
-# 从1.0到10.0，以0.1为步长
-for i in range(10, 101):
+# 从10.0到100.0，以0.1为步长
+for i in range(100, 1001):
     score = i / 10.0
     default_adjusted = adjust_score(score, default_threshold, default_gamma)
     new_adjusted_1 = adjust_score(score, new_threshold_1, new_gamma_1)
     new_adjusted_2 = adjust_score(score, new_threshold_2, new_gamma_2)
-    # 确保显示小数点
-    print(f"{score:.1f}\t\t\t{default_adjusted:.1f}\t\t\t\t\t{new_adjusted_1:.1f}\t\t\t\t\t{new_adjusted_2:.1f}")
+    # 确保显示2位小数点
+    print(f"{score:.2f}\t\t\t{default_adjusted:.2f}\t\t\t\t\t{new_adjusted_1:.2f}\t\t\t\t\t{new_adjusted_2:.2f}")

test/test_score.py

@@ -19,7 +19,7 @@ def default_converter(o):
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
-resp = RetinaFace.detect_faces("~/Downloads/chounan.jpeg")
+resp = RetinaFace.detect_faces("~/Pictures/face/face3.png")
 
 logger.info(
     "search results: " + json.dumps(resp, ensure_ascii=False, default=default_converter)