feat: 实现基于FastAPI的OCR服务
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="Black">
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<option name="sdkName" value="Python 3.12 (ocr)" />
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</component>
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.12 (ocr)" project-jdk-type="Python SDK" />
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</project>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectModuleManager">
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<modules>
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<module fileurl="file://$PROJECT_DIR$/.idea/ocr.iml" filepath="$PROJECT_DIR$/.idea/ocr.iml" />
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</modules>
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<module type="PYTHON_MODULE" version="4">
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$">
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<excludeFolder url="file://$MODULE_DIR$/.venv" />
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</content>
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<orderEntry type="inheritedJdk" />
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<orderEntry type="sourceFolder" forTests="false" />
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</module>
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<mapping directory="$PROJECT_DIR$" vcs="Git" />
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</project>
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main.py
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main.py
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from fastapi import FastAPI, UploadFile, File, Query
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from fastapi.responses import JSONResponse
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import easyocr
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from typing import Optional
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import asyncio
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import aiohttp # 用于异步 HTTP 请求
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app = FastAPI()
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# 初始化常用的语言组合 OCR 读取器
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reader_sim = easyocr.Reader(['ch_sim', 'en'])
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# 存储 OCR 读取器的缓存字典
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readers = {}
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# 使用 asyncio 的异步锁
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lock = asyncio.Lock()
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# 获取或初始化 OCR 读取器
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async def get_reader(lang_1: Optional[str], lang_2: Optional[str]):
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global readers, reader_sim, lock
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# 语言组合
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lang_combination = tuple(sorted([lang_1, lang_2] if lang_1 and lang_2 else [lang_1 or lang_2]))
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# 默认使用中文简体和英文的 OCR 读取器
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if not lang_1 and not lang_2:
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return reader_sim, None # 没有错误
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# 检查缓存中是否已经存在该语言组合的读取器
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if lang_combination in readers:
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return readers[lang_combination], None # 没有错误
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# 使用锁避免并发问题，仅在初始化新读取器时需要锁
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async with lock:
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# 双重检查，确保其他请求在等待锁时未初始化该读取器
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if lang_combination not in readers:
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try:
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# 尝试初始化 OCR 读取器
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||||||
|
readers[lang_combination] = easyocr.Reader(list(lang_combination))
|
||||||
|
except ValueError as ve:
|
||||||
|
return None, str(ve) # 返回错误信息
|
||||||
|
except Exception as e:
|
||||||
|
return None, f"Unexpected error: {str(e)}" # 返回意外错误信息
|
||||||
|
|
||||||
|
return readers[lang_combination], None # 没有错误
|
||||||
|
|
||||||
|
|
||||||
|
# 通用的 OCR 处理函数
|
||||||
|
async def process_ocr(reader, image_data):
|
||||||
|
try:
|
||||||
|
# 执行 OCR 处理
|
||||||
|
result = reader.readtext(image_data)
|
||||||
|
|
||||||
|
# 创建一个用于存储提取信息的列表
|
||||||
|
output = []
|
||||||
|
|
||||||
|
# 遍历识别结果
|
||||||
|
for (bbox, text, confidence) in result:
|
||||||
|
# 将 bbox 中的每个坐标点转换为 Python 原生 int 类型
|
||||||
|
bbox = [[int(coord) for coord in point] for point in bbox]
|
||||||
|
|
||||||
|
entry = {
|
||||||
|
"text": text,
|
||||||
|
"bbox": bbox, # bounding box 位置信息
|
||||||
|
"confidence": confidence # 置信度
|
||||||
|
}
|
||||||
|
output.append(entry)
|
||||||
|
|
||||||
|
# 成功处理后返回数据
|
||||||
|
return {
|
||||||
|
"status": "success",
|
||||||
|
"message": "OCR 处理成功",
|
||||||
|
"data": output
|
||||||
|
}, 200
|
||||||
|
except Exception as e:
|
||||||
|
# 处理失败，返回错误信息
|
||||||
|
return {
|
||||||
|
"status": "error",
|
||||||
|
"message": "OCR 处理失败",
|
||||||
|
"error": str(e),
|
||||||
|
"data": None
|
||||||
|
}, 500
|
||||||
|
|
||||||
|
|
||||||
|
@app.post("/ocr")
|
||||||
|
async def ocr_image(lang_1: Optional[str] = None, lang_2: Optional[str] = None, image: UploadFile = File(...)):
|
||||||
|
# 获取 OCR 读取器并捕获可能的错误
|
||||||
|
reader, error = await get_reader(lang_1, lang_2)
|
||||||
|
|
||||||
|
if error:
|
||||||
|
return JSONResponse(status_code=500, content={
|
||||||
|
"status": "error",
|
||||||
|
"message": "OCR 处理失败",
|
||||||
|
"error": error,
|
||||||
|
"data": None
|
||||||
|
})
|
||||||
|
|
||||||
|
try:
|
||||||
|
# 获取图片的二进制数据
|
||||||
|
image_data = await image.read()
|
||||||
|
except Exception as e:
|
||||||
|
return JSONResponse(status_code=500, content={
|
||||||
|
"status": "error",
|
||||||
|
"message": "无法读取图片文件",
|
||||||
|
"error": str(e),
|
||||||
|
"data": None
|
||||||
|
})
|
||||||
|
|
||||||
|
# 调用通用的 OCR 处理函数
|
||||||
|
response_data, status_code = await process_ocr(reader, image_data)
|
||||||
|
return JSONResponse(status_code=status_code, content=response_data)
|
||||||
|
|
||||||
|
|
||||||
|
@app.get("/ocr")
|
||||||
|
async def ocr_image_from_url(lang_1: Optional[str] = None, lang_2: Optional[str] = None, url: str = Query(...)):
|
||||||
|
# 使用 aiohttp 进行异步 HTTP 请求
|
||||||
|
async with aiohttp.ClientSession() as session:
|
||||||
|
try:
|
||||||
|
async with session.get(url) as response:
|
||||||
|
if response.status != 200:
|
||||||
|
raise Exception(f"无法获取图片, HTTP 状态码: {response.status}")
|
||||||
|
# 读取图片数据
|
||||||
|
image_data = await response.read()
|
||||||
|
except Exception as e:
|
||||||
|
return JSONResponse(status_code=500, content={
|
||||||
|
"status": "error",
|
||||||
|
"message": "无法从 URL 获取图片",
|
||||||
|
"error": str(e),
|
||||||
|
"data": None
|
||||||
|
})
|
||||||
|
|
||||||
|
# 获取 OCR 读取器并捕获可能的错误
|
||||||
|
reader, error = await get_reader(lang_1, lang_2)
|
||||||
|
|
||||||
|
if error:
|
||||||
|
return JSONResponse(status_code=500, content={
|
||||||
|
"status": "error",
|
||||||
|
"message": "OCR 处理失败",
|
||||||
|
"error": error,
|
||||||
|
"data": None
|
||||||
|
})
|
||||||
|
|
||||||
|
# 调用通用的 OCR 处理函数
|
||||||
|
response_data, status_code = await process_ocr(reader, image_data)
|
||||||
|
return JSONResponse(status_code=status_code, content=response_data)
|
||||||
Loading…
Reference in New Issue
Block a user