可以稳刷的单机版本

utils/shizi.py

@@ -0,0 +1,115 @@
+import ddddocr
+import cv2
+ocr = ddddocr.DdddOcr()
+
+def fuhuo(image):
+    image = image[603:641, 460:577]
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+    # 将裁剪后的图像编码成二进制格式
+    _, img_encoded = cv2.imencode('.png', image)
+    # 将图像编码结果转换为字节流
+    img_bytes = img_encoded.tobytes()
+    result = ocr.classification(img_bytes)
+    print(result)
+    if result == "记录点复活" or result == "记灵点复活":
+        return True
+    else:
+        return False
+
+
+def jieshu(image):
+    image=image[623:623+41, 472:472+167]
+    image=cv2.cvtColor(image,cv2.COLOR_RGB2BGR)
+    # 将裁剪后的图像编码成二进制格式
+    _, img_encoded = cv2.imencode('.png', image)
+    # 将图像编码结果转换为字节流
+    img_bytes = img_encoded.tobytes()
+    result = ocr.classification(img_bytes)
+    if result=="结束挑战":
+        return True
+    else:
+        return False
+
+def tiaozhan(image):
+    image = image[576:614, 1023:1138]
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+    # 将裁剪后的图像编码成二进制格式
+    _, img_encoded = cv2.imencode('.png', image)
+    # 将图像编码结果转换为字节流
+    img_bytes = img_encoded.tobytes()
+    result = ocr.classification(img_bytes)
+    if result == "开启挑战":
+        return True
+    else:
+        return False
+
+
+def tuichu(image):
+    image = image[24:58, 569:669]
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+    # 将裁剪后的图像编码成二进制格式
+    _, img_encoded = cv2.imencode('.png', image)
+    # 将图像编码结果转换为字节流
+    img_bytes = img_encoded.tobytes()
+    result = ocr.classification(img_bytes)
+    print(result)
+    if result[1:] == "出挑战" or result[0:2] == "退出"  :
+        return True
+    else:
+        return False
+
+
+def tuwai(image):
+    image = image[59:93, 1226:1275]
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+    # 将裁剪后的图像编码成二进制格式
+    _, img_encoded = cv2.imencode('.png', image)
+    # 将图像编码结果转换为字节流
+    img_bytes = img_encoded.tobytes()
+    result = ocr.classification(img_bytes)
+    print(result)
+    if result == "tap" or result=='tqp' or result=='top':
+        return True
+    else:
+        return False
+
+
+def daoying(image):
+    image = image[260:289, 570:628]
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+    # 将裁剪后的图像编码成二进制格式
+    _, img_encoded = cv2.imencode('.png', image)
+    # 将图像编码结果转换为字节流
+    img_bytes = img_encoded.tobytes()
+    result = ocr.classification(img_bytes)
+    print(result)
+    if result == "倒影" or result=="到影" :
+        return True
+    else:
+        return False
+
+def shuzi(image):
+    image=image[50:91,610:666]
+    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+    # 将裁剪后的图像编码成二进制格式
+    _, img_encoded = cv2.imencode('.png', image)
+    # 将图像编码结果转换为字节流
+    img_bytes = img_encoded.tobytes()
+    result = ocr.classification(img_bytes)
+    print(result)
+    if result=="40":
+        return True
+
+def test(image):
+    # 将裁剪后的图像编码成二进制格式
+    _, img_encoded = cv2.imencode('.png', image)
+    # 将图像编码结果转换为字节流
+    img_bytes = img_encoded.tobytes()
+    result = ocr.classification(img_bytes)
+    print(result)
+
+
+if __name__ == '__main__':
+    image=cv2.imread('10.21_820.jpg')
+    shuzi(image)
+    test(image)