125 lines
5.3 KiB
Python
125 lines
5.3 KiB
Python
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import os
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import atexit # 退出处理
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import subprocess # 进程，管道
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from json import loads as jsonLoads, dumps as jsonDumps
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from sys import platform as sysPlatform # popen静默模式
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from base64 import b64encode # base64 编码
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class Rapid_pipe: # 调用OCR（管道模式）
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def __init__(self, exePath: str, argument: dict = None):
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"""初始化识别器（管道模式）。\n
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`exePath`: 识别器`PaddleOCR_json.exe`的路径。\n
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`argument`: 启动参数，字典`{"键":值}`。参数说明见 https://github.com/hiroi-sora/PaddleOCR-json
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"""
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cwd = os.path.abspath(os.path.join(exePath, os.pardir)) # 获取exe父文件夹
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# 处理启动参数
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if not argument == None:
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for key, value in argument.items():
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if isinstance(value, str): # 字符串类型的值加双引号
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exePath += f' --{key}="{value}"'
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else:
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exePath += f" --{key}={value}"
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if "ensureAscii" not in exePath:
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exePath += f" --ensureAscii=1"
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# 设置子进程启用静默模式，不显示控制台窗口
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self.ret = None
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startupinfo = None
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if "win32" in str(sysPlatform).lower():
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startupinfo = subprocess.STARTUPINFO()
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startupinfo.dwFlags = (
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subprocess.CREATE_NEW_CONSOLE | subprocess.STARTF_USESHOWWINDOW
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)
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startupinfo.wShowWindow = subprocess.SW_HIDE
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self.ret = subprocess.Popen( # 打开管道
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exePath,
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cwd=cwd,
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stdin=subprocess.PIPE,
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stdout=subprocess.PIPE,
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stderr=subprocess.DEVNULL, # 丢弃stderr的内容
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startupinfo=startupinfo, # 开启静默模式
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)
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# 启动子进程
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while True:
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if not self.ret.poll() == None: # 子进程已退出，初始化失败
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raise Exception(f"OCR init fail.")
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initStr = self.ret.stdout.readline().decode("utf-8", errors="ignore")
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if "OCR init completed." in initStr: # 初始化成功
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break
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atexit.register(self.exit) # 注册程序终止时执行强制停止子进程
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def runDict(self, writeDict: dict):
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"""传入指令字典，发送给引擎进程。\n
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`writeDict`: 指令字典。\n
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`return`: {"code": 识别码, "data": 内容列表或错误信息字符串}\n"""
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# 检查子进程
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if not self.ret:
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return {"code": 901, "data": f"引擎实例不存在。"}
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if not self.ret.poll() == None:
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return {"code": 902, "data": f"子进程已崩溃。"}
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# 输入信息
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writeStr = jsonDumps(writeDict, ensure_ascii=True, indent=None) + "\n"
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try:
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self.ret.stdin.write(writeStr.encode("utf-8"))
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self.ret.stdin.flush()
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except Exception as e:
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return {"code": 902, "data": f"向识别器进程传入指令失败，疑似子进程已崩溃。{e}"}
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# 获取返回值
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try:
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getStr = self.ret.stdout.readline().decode("utf-8", errors="ignore")
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except Exception as e:
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return {"code": 903, "data": f"读取识别器进程输出值失败。异常信息：[{e}]"}
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try:
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return jsonLoads(getStr)
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except Exception as e:
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return {"code": 904, "data": f"识别器输出值反序列化JSON失败。异常信息：[{e}]。原始内容：[{getStr}]"}
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def run(self, imgPath: str):
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"""对一张本地图片进行文字识别。\n
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`exePath`: 图片路径。\n
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`return`: {"code": 识别码, "data": 内容列表或错误信息字符串}\n"""
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writeDict = {"image_path": imgPath}
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return self.runDict(writeDict)
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def runBase64(self, imageBase64: str):
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"""对一张编码为base64字符串的图片进行文字识别。\n
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`imageBase64`: 图片base64字符串。\n
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`return`: {"code": 识别码, "data": 内容列表或错误信息字符串}\n"""
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writeDict = {"image_base64": imageBase64}
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return self.runDict(writeDict)
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def runBytes(self, imageBytes):
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"""对一张图片的字节流信息进行文字识别。\n
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`imageBytes`: 图片字节流。\n
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`return`: {"code": 识别码, "data": 内容列表或错误信息字符串}\n"""
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imageBase64 = b64encode(imageBytes).decode("utf-8")
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return self.runBase64(imageBase64)
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def exit(self):
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"""关闭引擎子进程"""
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if not self.ret:
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return
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self.ret.kill() # 关闭子进程
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self.ret = None
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atexit.unregister(self.exit) # 移除退出处理
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print("### RapidOCR引擎子进程关闭！")
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@staticmethod
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def printResult(res: dict):
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"""用于调试，格式化打印识别结果。\n
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`res`: OCR识别结果。"""
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# 识别成功
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if res["code"] == 100:
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index = 1
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for line in res["data"]:
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print(f"{index}-置信度：{round(line['score'], 2)}，文本：{line['text']}")
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index += 1
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elif res["code"] == 100:
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print("图片中未识别出文字。")
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else:
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print(f"图片识别失败。错误码：{res['code']}，错误信息：{res['data']}")
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def __del__(self):
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self.exit()
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