Add Python Demo

Prj-Android/app/src/main/AndroidManifest.xml

@@ -34,7 +34,7 @@
 
     <application
         android:allowBackup="true"
-        android:icon="@mipmap/ic_launcher"
+        android:icon="@mipmap/logo"
         android:label="@string/app_name"
         android:roundIcon="@mipmap/ic_launcher_round"
         android:supportsRtl="true"

Prj-Python/demo.py

@@ -0,0 +1,40 @@
+# 导入cv相关库
+import cv2
+import numpy as np
+from PIL import ImageFont
+from PIL import Image
+from PIL import ImageDraw
+# 导入依赖包
+import hyperlpr3 as lpr3
+
+
+def draw_plate_on_image(img, box, text, font):
+    x1, y1, x2, y2 = box
+    cv2.rectangle(img, (x1, y1), (x2, y2), (139, 139, 102), 2, cv2.LINE_AA)
+    cv2.rectangle(img, (x1, y1 - 20), (x2, y1), (139, 139, 102), -1)
+    data = Image.fromarray(img)
+    draw = ImageDraw.Draw(data)
+    draw.text((x1 + 1, y1 - 18), text, (255, 255, 255), font=font)
+    res = np.asarray(data)
+
+    return res
+
+
+# 中文字体加载
+font_ch = ImageFont.truetype("../resource/font/platech.ttf", 20, 0)
+
+# 实例化识别对象
+catcher = lpr3.LicensePlateCatcher(detect_level=lpr3.DETECT_LEVEL_HIGH)
+# 读取图片
+image = cv2.imread("/Users/tunm/datasets/boundingbox/[[359, 1292], [487, 1292], [487, 1324], [359, 1324]].jpg")
+
+# 执行识别算法
+results = catcher(image)
+for code, confidence, type_idx, box in results:
+    # 解析数据并绘制
+    text = f"{code} - {confidence:.2f}"
+    image = draw_plate_on_image(image, box, text, font=font_ch)
+
+# 显示检测结果
+cv2.imshow("w", image)
+cv2.waitKey(0)

README.md

@@ -241,7 +241,7 @@ sh command/build_release_android_share.sh
 
 ### 识别测试APP
 
-- 体验 Android APP：[APK下载](https://github.com/szad670401/HyperLPR/blob/master/apk/hyperlpr3-demo.apk?raw=true)
+- 体验 Android APP：[扫码下载](http://fir.tunm.top/hyperlpr)
 
 #### 获取帮助