问题1: OCR拼接合并 (2处改动)
- easyocr_worker.py: ' '.join→'\n'.join, 各检测区域用换行而非空格拼接
避免 '兑换码导入错误时如何处置?游戏专用小筑憩-草一' 式合并
- _process_ocr_output 尾部新增 _split_merged_ocr_text:
在中文句尾标点([。?!?])后紧跟CJK处拆分,两侧CJK>=3且非续接语气词
将合并文本分为多条消息,各自独立参与KB匹配
问题2: 微信 _fresh_window 冻结3-5s (2处改动)
- _poll: 对wechat跳过 _fresh_window(ControlFromHandle构建Electron UIA树冻结)
用 win=None 代替
- _read_messages(wechat): 接收window=None, OCR失败后惰性创建UIA控件
大多数轮次 OCR 读到消息就直接返回,不碰UIA树
93 lines
2.8 KiB
Python
93 lines
2.8 KiB
Python
#!/usr/bin/env python3
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"""EasyOCR 子进程 worker。
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通过 stdin 读 base64 图片、stdout 写 JSON 结果。GPU crash 只杀此进程,不冻主进程。
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协议:
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stdin: {"img":"<base64_png_bytes>"}
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stdout: {"ok":true,"text":"识别结果"}
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stdout: {"ok":false,"error":"错误描述"}
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初始化慢(首次 3-10s),初始化完成后常驻处理。
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"""
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import json
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import sys
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import base64
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import io
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import os
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# ── 线程/进程限制:避免 MKL/OpenMP 在子进程多线程冲突 ──
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os.environ.setdefault("OMP_NUM_THREADS", "1")
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os.environ.setdefault("MKL_NUM_THREADS", "1")
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from PIL import Image
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import numpy as np
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import easyocr
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def _init_reader():
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"""初始化 EasyOCR reader(GPU 优先)。"""
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try:
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import torch
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use_gpu = torch.cuda.is_available()
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except Exception:
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use_gpu = False
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try:
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reader = easyocr.Reader(["ch_sim", "en"], gpu=use_gpu)
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mode = "GPU" if use_gpu else "CPU"
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sys.stderr.write(f"[easyocr_worker] Reader 就绪({mode}模式)\n")
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sys.stderr.flush()
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return reader
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except Exception as e:
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# GPU 不可用 → CPU 兜底
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sys.stderr.write(f"[easyocr_worker] GPU 初始化失败({e}),尝试 CPU\n")
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sys.stderr.flush()
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reader = easyocr.Reader(["ch_sim", "en"], gpu=False)
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sys.stderr.write("[easyocr_worker] Reader 就绪(CPU 模式)\n")
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sys.stderr.flush()
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return reader
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def _process_image(img_b64: str, reader) -> str:
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"""解码 base64 图片 → EasyOCR 识别 → 返回空格拼接文本。"""
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raw = base64.b64decode(img_b64)
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img = Image.open(io.BytesIO(raw))
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# 保持与 monitor.py 一致:RGBA → numpy
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if img.mode != "RGBA":
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img = img.convert("RGBA")
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img_np = np.array(img)
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results = reader.readtext(img_np)
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return "\n".join([r[1] for r in results]).strip()
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def _main():
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reader = _init_reader()
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sys.stderr.write("[easyocr_worker] 就绪,等待 stdin 输入\n")
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sys.stderr.flush()
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for line in sys.stdin:
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line = line.strip()
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if not line:
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continue
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try:
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payload = json.loads(line)
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img_b64 = payload.get("img", "")
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if not img_b64:
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raise ValueError("缺少 img 字段")
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text = _process_image(img_b64, reader)
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out = json.dumps({"ok": True, "text": text}, ensure_ascii=False)
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sys.stdout.write(out + "\n")
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sys.stdout.flush()
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except Exception as e:
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out = json.dumps({"ok": False, "error": str(e)}, ensure_ascii=False)
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sys.stdout.write(out + "\n")
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sys.stdout.flush()
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sys.stderr.write(f"[easyocr_worker] 处理失败: {e}\n")
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sys.stderr.flush()
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if __name__ == "__main__":
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_main()
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