commit 40069c71afca2414d82a2b29bd44f27dc59e31d5
Author: Cx330 <1487537121@qq.com>
Date:   Sat May 17 12:54:11 2025 +0800

    v0.0.1

diff --git a/file/zj.jpg b/file/zj.jpg
new file mode 100644
index 0000000..b758c7b
Binary files /dev/null and b/file/zj.jpg differ
diff --git a/recognition.py b/recognition.py
new file mode 100644
index 0000000..d9ceba9
--- /dev/null
+++ b/recognition.py
@@ -0,0 +1,97 @@
+import cv2
+import easyocr
+import matplotlib.pyplot as plt
+plt.rcParams['font.sans-serif'] = ['simHei']
+plt.rcParams['axes.unicode_minus'] = False
+
+reader = easyocr.Reader(['ch_sim'], gpu=False)
+image = cv2.imread('file/zj.jpg')
+
+# 所有要提取的坐标区域
+id = [
+    (460, 415, 800, 460),
+    (460, 610, 800, 655),
+    (550, 805, 800, 850),
+    (460, 995, 800, 1040),
+    (460, 1190, 800, 1235),
+
+    (1860, 415, 2200, 460),
+    (1930, 610, 2200, 655),
+    (1860, 805, 2200, 850),
+    (1930, 995, 2200, 1040),
+    (1860, 1190, 2200, 1235),
+]
+
+score = [
+    (335, 488, 465, 545),
+    (335, 680, 465, 740),
+    (335, 875, 465, 930),
+    (335, 1070, 465, 1125),
+    (335, 1260, 465, 1320),
+
+    (1710, 488, 1845, 545),
+    (1710, 680, 1845, 740),
+    (1710, 875, 1845, 930),
+    (1710, 1070, 1845, 1125),
+    (1710, 1260, 1845, 1320),
+]
+
+# 提取图像区域并转换为RGB
+images_rgb_id = []
+images_rgb_score = []
+results_id = []
+results_score = []
+
+for (x1, y1, x2, y2) in id:
+    cropped = image[y1:y2, x1:x2]
+    rgb = cv2.cvtColor(cropped, cv2.COLOR_BGR2RGB)
+    images_rgb_id.append(rgb)
+    results_id.append(reader.readtext(rgb, detail=0))
+
+for (x1, y1, x2, y2) in score:
+    cropped = image[y1:y2, x1:x2]
+    rgb = cv2.cvtColor(cropped, cv2.COLOR_BGR2RGB)
+    images_rgb_score.append(rgb)
+    results_score.append(reader.readtext(rgb, detail=0))
+
+# 打印结果
+for i, result in enumerate(results_id, 1):
+    print(f"result{i}:", result)
+
+for i, result in enumerate(results_score, 1):
+    print(f"result{i}:", result)
+
+# 显示图像
+plt.figure(figsize=(10, 15))
+for i, img in enumerate(images_rgb_id, 1):
+    plt.subplot(5, 2, i)
+    plt.imshow(img)
+    plt.title('测试')
+    plt.axis('off')
+
+plt.figure(figsize=(10, 15))
+for i, img in enumerate(images_rgb_score, 1):
+    plt.subplot(5, 2, i)
+    plt.imshow(img)
+    plt.title('测试')
+    plt.axis('off')
+
+plt.tight_layout()
+plt.show()
+
+# 找出最高评分玩家
+max_val = 0.0
+max_idx = 0
+for i, texts in enumerate(results_score):
+    if not texts:
+        continue
+    try:
+        val = float(texts[0])
+    except ValueError:
+        continue
+    if val > max_val:
+        max_val = val
+        max_idx = i
+
+print("最高评分：", max_val)
+print("最高评分玩家ID：", results_id[max_idx])
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