116 lines
3.4 KiB
Python
116 lines
3.4 KiB
Python
import ddddocr
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import cv2
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ocr = ddddocr.DdddOcr()
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def fuhuo(image):
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image = image[603:641, 460:577]
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image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
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# 将裁剪后的图像编码成二进制格式
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_, img_encoded = cv2.imencode('.png', image)
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# 将图像编码结果转换为字节流
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img_bytes = img_encoded.tobytes()
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result = ocr.classification(img_bytes)
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print(result)
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if result == "记录点复活" or result == "记灵点复活":
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return True
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else:
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return False
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def jieshu(image):
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image=image[623:623+41, 472:472+167]
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image=cv2.cvtColor(image,cv2.COLOR_RGB2BGR)
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# 将裁剪后的图像编码成二进制格式
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_, img_encoded = cv2.imencode('.png', image)
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# 将图像编码结果转换为字节流
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img_bytes = img_encoded.tobytes()
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result = ocr.classification(img_bytes)
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if result=="结束挑战":
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return True
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else:
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return False
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def tiaozhan(image):
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image = image[576:614, 1023:1138]
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image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
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# 将裁剪后的图像编码成二进制格式
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_, img_encoded = cv2.imencode('.png', image)
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# 将图像编码结果转换为字节流
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img_bytes = img_encoded.tobytes()
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result = ocr.classification(img_bytes)
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if result == "开启挑战":
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return True
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else:
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return False
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def tuichu(image):
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image = image[36:58, 560:669]
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image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
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# 将裁剪后的图像编码成二进制格式
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_, img_encoded = cv2.imencode('.png', image)
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# 将图像编码结果转换为字节流
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img_bytes = img_encoded.tobytes()
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result = ocr.classification(img_bytes)
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print(result)
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if result[1:] == "出挑战" or result[0:2] == "退出" :
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return True
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else:
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return False
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def tuwai(image):
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image = image[59:93, 1226:1275]
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image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
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# 将裁剪后的图像编码成二进制格式
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_, img_encoded = cv2.imencode('.png', image)
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# 将图像编码结果转换为字节流
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img_bytes = img_encoded.tobytes()
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result = ocr.classification(img_bytes)
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print(result)
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if result == "tap" or result=='tqp' or result=='top':
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return True
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else:
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return False
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def daoying(image):
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image = image[260:289, 570:628]
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image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
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# 将裁剪后的图像编码成二进制格式
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_, img_encoded = cv2.imencode('.png', image)
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# 将图像编码结果转换为字节流
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img_bytes = img_encoded.tobytes()
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result = ocr.classification(img_bytes)
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print(result)
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if result == "倒影" or result=="到影" :
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return True
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else:
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return False
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def shuzi(image):
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image=image[50:91,610:666]
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image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
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# 将裁剪后的图像编码成二进制格式
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_, img_encoded = cv2.imencode('.png', image)
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# 将图像编码结果转换为字节流
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img_bytes = img_encoded.tobytes()
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result = ocr.classification(img_bytes)
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print(result)
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if result=="40":
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return True
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def test(image):
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# 将裁剪后的图像编码成二进制格式
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_, img_encoded = cv2.imencode('.png', image)
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# 将图像编码结果转换为字节流
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img_bytes = img_encoded.tobytes()
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result = ocr.classification(img_bytes)
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print(result)
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if __name__ == '__main__':
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image=cv2.imread('10.21_820.jpg')
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shuzi(image)
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test(image)
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