基础打标控制台
This commit is contained in:
yml2213
@@ -17,3 +17,8 @@ cases/_session_archives/
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__pycache__/
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*.py[cod]
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*$py.class
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# 验证码原始与中间数据集（防止大文件污染 git）
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tcaptcha/data/raw/
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tcaptcha/data/crops/
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data/
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@@ -4,5 +4,6 @@ version = "0.1.0"
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requires-python = ">=3.12"
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dependencies = [
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"httpx>=0.28.1",
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"numpy>=2.5.3",
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"pillow>=12.3.0",
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]
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@@ -0,0 +1,242 @@
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"""
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腾讯天御点选验证码 (Tencent Turing Captcha) 样本纯协议采集器
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通过模拟前端两步 HTTP 接口直接拉取高清原图：
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1. GET /cap_union_prehandle 获取初始会话 sess
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2. POST /cap_union_new_getsig 获取题目配置与背景/提示图 URL
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3. 并行下载 672x480 背景大图与 170x50 提示图标图
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"""
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import argparse
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import asyncio
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import json
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import logging
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import os
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import random
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import re
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import time
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from pathlib import Path
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from typing import Optional, Tuple
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import httpx
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s [%(levelname)s] %(message)s",
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datefmt="%H:%M:%S",
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)
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logger = logging.getLogger("tcaptcha_collector")
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class TencentCaptchaCollector:
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BASE_URL = "https://turing.captcha.qcloud.com"
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DEFAULT_AID = "2039519451"
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def __init__(self, aid: str = DEFAULT_AID, output_dir: str = "tcaptcha/data/raw", timeout: float = 10.0):
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self.aid = aid
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self.output_dir = Path(output_dir)
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self.output_dir.mkdir(parents=True, exist_ok=True)
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self.index_file = self.output_dir / "index.jsonl"
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self.timeout = timeout
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self.client = httpx.Client(
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base_url=self.BASE_URL,
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trust_env=False,
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headers={
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"User-Agent": (
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"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
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"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/152.0.0.0 Safari/537.36"
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),
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"Referer": "https://turing.captcha.qcloud.com/",
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"Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8",
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},
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timeout=self.timeout,
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follow_redirects=True,
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)
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def _fetch_session(self) -> Tuple[Optional[str], Optional[str]]:
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"""第一步：预检请求获取 sess"""
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cb_name = f"_aq_{random.randint(100000, 999999)}"
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tkid = str(random.randint(100000000, 999999999))
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ua_b64 = "TW96aWxsYS81LjAgKE1hY2ludG9zaDsgSW50ZWwgTWFjIE9TIFggMTBfMTVfNykgQXBwbGVXZWJLaXQvNTM3LjM2IChLSFRNTCwgbGlrZSBHZWNrbykgQ2hyb21lLzE1Mi4wLjAuMCBTYWZhcmkvNTM3LjM2"
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params = {
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"aid": self.aid,
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"protocol": "https",
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"accver": "1",
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"showtype": "popup",
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"ua": ua_b64,
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"noheader": "1",
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"fb": "1",
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"grayscale": "1",
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"clientype": "2",
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"lang": "zh-cn",
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"js": "/tcaptcha-frame.ba387dd1.js",
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"wb": "2",
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"tkid": tkid,
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"subsid": "1",
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"callback": cb_name,
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}
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resp = self.client.get("/cap_union_prehandle", params=params)
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if resp.status_code != 200:
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logger.error("prehandle failed with status %d", resp.status_code)
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return None, None
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match = re.search(rf"{cb_name}\((.*)\)", resp.text)
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if not match:
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logger.error("Failed to parse prehandle response: %s", resp.text[:100])
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return None, None
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try:
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data = json.loads(match.group(1))
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sess = data.get("sess")
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return sess, tkid
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except Exception as e:
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logger.error("Failed to decode JSON from prehandle: %s", e)
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return None, None
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def _fetch_sig_and_images(self, sess: str, tkid: str) -> Optional[dict]:
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"""第二步：请求题目信息并下载图片对"""
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resp = self.client.post(
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"/cap_union_new_getsig",
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data={"sess": sess, "tkid": tkid},
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headers={"Content-Type": "application/x-www-form-urlencoded"},
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)
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if resp.status_code != 200:
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logger.error("getsig failed with status %d", resp.status_code)
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return None
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try:
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res_json = resp.json()
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except Exception as e:
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logger.error("Failed to decode getsig JSON: %s", e)
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return None
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if str(res_json.get("ret")) != "0":
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logger.warning("getsig returned non-zero ret: %s", res_json)
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return None
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cfg = res_json.get("data", {})
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instruction = cfg.get("instruction", "请依次点击：")
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bg_cfg = cfg.get("bg_elem_cfg", {})
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img_url_bg = bg_cfg.get("img_url", "")
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if not img_url_bg:
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logger.warning("No img_url found in getsig response")
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return None
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img_url_prompt = img_url_bg.replace("img_index=1", "img_index=0")
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# 下载背景大图 (672x480) 与 提示图 (170x50)
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bg_resp = self.client.get(img_url_bg)
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prompt_resp = self.client.get(img_url_prompt)
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if bg_resp.status_code != 200 or prompt_resp.status_code != 200:
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logger.error("Failed to download image pairs")
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return None
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return {
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"instruction": instruction,
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"bg_bytes": bg_resp.content,
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"prompt_bytes": prompt_resp.content,
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"img_url_bg": img_url_bg,
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"img_url_prompt": img_url_prompt,
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"sess": sess,
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"tkid": tkid,
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}
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def fetch_one(self) -> Optional[str]:
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"""采集单组样本并保存到本地"""
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sess, tkid = self._fetch_session()
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if not sess or not tkid:
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return None
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data = self._fetch_sig_and_images(sess, tkid)
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if not data:
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return None
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sample_id = f"{int(time.time() * 1000)}_{random.randint(1000, 9999)}"
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bg_filename = f"{sample_id}_bg.png"
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prompt_filename = f"{sample_id}_prompt.png"
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meta_filename = f"{sample_id}_meta.json"
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bg_path = self.output_dir / bg_filename
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prompt_path = self.output_dir / prompt_filename
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meta_path = self.output_dir / meta_filename
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bg_path.write_bytes(data["bg_bytes"])
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prompt_path.write_bytes(data["prompt_bytes"])
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meta_info = {
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"sample_id": sample_id,
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"timestamp": time.time(),
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"aid": self.aid,
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"instruction": data["instruction"],
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"bg_file": bg_filename,
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"prompt_file": prompt_filename,
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"bg_size": len(data["bg_bytes"]),
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"prompt_size": len(data["prompt_bytes"]),
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"sess": data["sess"],
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"tkid": data["tkid"],
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}
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meta_path.write_text(json.dumps(meta_info, ensure_ascii=False, indent=2), encoding="utf-8")
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# 写入 index.jsonl
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with open(self.index_file, "a", encoding="utf-8") as f:
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f.write(json.dumps(meta_info, ensure_ascii=False) + "\n")
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logger.info(
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"✓ 采集成功 [%s]: 大图 %d KB, 提示图 %d KB | 提示: %s",
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sample_id,
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len(data["bg_bytes"]) // 1024,
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len(data["prompt_bytes"]) // 1024,
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data["instruction"],
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)
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return sample_id
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def collect_batch(self, count: int = 10, delay: float = 0.8) -> int:
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"""批量采集样本"""
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logger.info("开始批量采集点选验证码样本，目标数量: %d, 间隔: %.2fs", count, delay)
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success_count = 0
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for i in range(count):
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try:
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sid = self.fetch_one()
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if sid:
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success_count += 1
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else:
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logger.warning("第 %d/%d 个样本采集失败，准备重试", i + 1, count)
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except Exception as e:
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logger.error("采集异常: %s", e)
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if i < count - 1 and delay > 0:
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# 随机微弱浮动，模拟正常采集
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actual_delay = delay + random.uniform(-0.2, 0.3)
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time.sleep(max(0.2, actual_delay))
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logger.info("批量采集完成: 成功 %d/%d (存储目录: %s)", success_count, count, self.output_dir)
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return success_count
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def close(self):
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self.client.close()
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def main():
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parser = argparse.ArgumentParser(description="腾讯天御点选验证码纯协议批量采集器")
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parser.add_argument("--count", type=int, default=10, help="采集样本数量 (默认: 10)")
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parser.add_argument("--delay", type=float, default=0.8, help="每次请求间隔秒数 (默认: 0.8)")
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parser.add_argument("--aid", type=str, default=TencentCaptchaCollector.DEFAULT_AID, help="业务 AppID")
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parser.add_argument("--output-dir", type=str, default="tcaptcha/data/raw", help="保存路径")
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args = parser.parse_args()
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collector = TencentCaptchaCollector(aid=args.aid, output_dir=args.output_dir)
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try:
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collector.collect_batch(count=args.count, delay=args.delay)
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finally:
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collector.close()
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if __name__ == "__main__":
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main()
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@@ -0,0 +1,86 @@
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"""
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提示词图像自动切割模块
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将 170x50 的提示图自动切分为 3 个独立的图标小图
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"""
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from pathlib import Path
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from typing import List, Tuple
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import numpy as np
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from PIL import Image
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def slice_prompt_image(prompt_img_path: str | Path, padding: int = 2) -> List[Tuple[Image.Image, Tuple[int, int, int, int]]]:
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"""
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自动识别并切割提示图中的 3 个字符/图标
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返回: [(PIL_Image, (x1, y1, x2, y2)), ...]
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"""
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img = Image.open(prompt_img_path).convert("L")
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arr = np.array(img)
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h, w = arr.shape
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# 背景灰度基准 (通常取左上角像素)
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bg_val = int(arr[0, 0])
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# 提取暗色笔画像素（排除灰色背景）
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mask = arr < (bg_val - 25)
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# 水平方向投影，找出连续包含笔画的列区间
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cols_has_dark = mask.any(axis=0)
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segments: List[Tuple[int, int]] = []
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in_seg = False
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start = 0
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for i, val in enumerate(cols_has_dark):
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if val and not in_seg:
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in_seg = True
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start = i
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elif not val and in_seg:
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in_seg = False
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if i - start >= 5: # 过滤过窄杂点
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segments.append((start, i))
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if in_seg and (w - start >= 5):
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segments.append((start, w))
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# 若投影分割不足 3 段（极罕见），按固定 3 等分兜底
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if len(segments) != 3:
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step = w // 3
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segments = [(i * step + 5, (i + 1) * step - 5) for i in range(3)]
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# 原始彩色图用于切片
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orig_img = Image.open(prompt_img_path).convert("RGBA")
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crops = []
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for seg_start, seg_end in segments[:3]:
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# 纵向精确裁剪
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sub_mask = mask[:, seg_start:seg_end]
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rows_has_dark = sub_mask.any(axis=1)
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row_indices = np.where(rows_has_dark)[0]
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if len(row_indices) > 0:
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top = max(0, int(row_indices[0]) - padding)
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bottom = min(h, int(row_indices[-1]) + 1 + padding)
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else:
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top, bottom = 0, h
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left = max(0, seg_start - padding)
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right = min(w, seg_end + padding)
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box = (left, top, right, bottom)
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crop = orig_img.crop(box)
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crops.append((crop, box))
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return crops
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if __name__ == "__main__":
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import sys
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sample = sys.argv[1] if len(sys.argv) > 1 else "tcaptcha/data/raw/1789135559041_4170_prompt.png"
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if Path(sample).exists():
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results = slice_prompt_image(sample)
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print(f"切片完成，切出 {len(results)} 个目标:")
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for idx, (c, b) in enumerate(results):
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print(f" [{idx+1}] 尺寸: {c.size}, 边界框: {b}")
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else:
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print(f"样本文件不存在: {sample}")
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@@ -0,0 +1,493 @@
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"""
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极简本地 Web 点选验证码打标工具
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启动方式: uv run python tcaptcha/web_labeler.py --port 8765
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访问地址: http://127.0.0.1:8765
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"""
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import argparse
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import base64
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import json
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import logging
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from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
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from io import BytesIO
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from pathlib import Path
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from urllib.parse import parse_qs, urlparse
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from PIL import Image
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try:
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from tcaptcha.slicer import slice_prompt_image
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except ImportError:
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from slicer import slice_prompt_image
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logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
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logger = logging.getLogger("web_labeler")
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RAW_DIR = Path("tcaptcha/data/raw")
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LABEL_FILE = Path("tcaptcha/data/labels.jsonl")
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CROPS_DIR = Path("tcaptcha/data/crops")
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def get_labeled_sample_ids() -> set:
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if not LABEL_FILE.exists():
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return set()
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labeled = set()
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with open(LABEL_FILE, "r", encoding="utf-8") as f:
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for line in f:
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line = line.strip()
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if line:
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try:
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record = json.loads(line)
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labeled.add(record.get("sample_id"))
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except Exception:
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pass
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return labeled
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def get_all_samples() -> list:
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if not RAW_DIR.exists():
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return []
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meta_files = sorted(RAW_DIR.glob("*_meta.json"))
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samples = []
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for mf in meta_files:
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try:
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meta = json.loads(mf.read_text(encoding="utf-8"))
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samples.append(meta)
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except Exception:
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pass
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return samples
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def get_sample_data(sample_id: str):
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bg_path = RAW_DIR / f"{sample_id}_bg.png"
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prompt_path = RAW_DIR / f"{sample_id}_prompt.png"
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meta_path = RAW_DIR / f"{sample_id}_meta.json"
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if not bg_path.exists() or not prompt_path.exists() or not meta_path.exists():
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return None
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meta = json.loads(meta_path.read_text(encoding="utf-8"))
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# 切割提示图标
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crops = slice_prompt_image(prompt_path)
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sliced_b64 = []
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for idx, (crop_img, _) in enumerate(crops):
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buf = BytesIO()
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crop_img.save(buf, format="PNG")
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b64 = base64.b64encode(buf.getvalue()).decode("utf-8")
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sliced_b64.append(f"data:image/png;base64,{b64}")
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bg_b64 = base64.b64encode(bg_path.read_bytes()).decode("utf-8")
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prompt_b64 = base64.b64encode(prompt_path.read_bytes()).decode("utf-8")
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return {
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"sample_id": sample_id,
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"instruction": meta.get("instruction", "请依次点击："),
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"bg_b64": f"data:image/png;base64,{bg_b64}",
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"prompt_b64": f"data:image/png;base64,{prompt_b64}",
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"sliced_prompts": sliced_b64,
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}
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HTML_TEMPLATE = """<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>腾讯天御点选验证码 - 标注工作台</title>
|
||||
<style>
|
||||
:root {
|
||||
--bg: #0f172a;
|
||||
--card: #1e293b;
|
||||
--border: #334155;
|
||||
--text: #f8fafc;
|
||||
--muted: #94a3b8;
|
||||
--accent: #38bdf8;
|
||||
--success: #22c55e;
|
||||
--warning: #f59e0b;
|
||||
--danger: #ef4444;
|
||||
}
|
||||
* { box-sizing: border-box; margin: 0; padding: 0; }
|
||||
body {
|
||||
background: var(--bg);
|
||||
color: var(--text);
|
||||
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
|
||||
padding: 20px;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
min-height: 100vh;
|
||||
}
|
||||
.header {
|
||||
width: 720px;
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
margin-bottom: 16px;
|
||||
}
|
||||
.title { font-size: 20px; font-weight: 700; color: var(--accent); }
|
||||
.stats { font-size: 14px; color: var(--muted); }
|
||||
.card {
|
||||
background: var(--card);
|
||||
border: 1px solid var(--border);
|
||||
border-radius: 12px;
|
||||
padding: 20px;
|
||||
width: 720px;
|
||||
box-shadow: 0 10px 25px -5px rgba(0,0,0,0.5);
|
||||
}
|
||||
.prompt-section {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
background: #090d16;
|
||||
border: 1px solid var(--border);
|
||||
border-radius: 8px;
|
||||
padding: 12px 18px;
|
||||
margin-bottom: 16px;
|
||||
}
|
||||
.prompt-label { font-size: 15px; font-weight: 600; color: #e2e8f0; }
|
||||
.targets-container {
|
||||
display: flex;
|
||||
gap: 16px;
|
||||
align-items: center;
|
||||
}
|
||||
.target-item {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
gap: 4px;
|
||||
}
|
||||
.target-badge {
|
||||
font-size: 12px;
|
||||
font-weight: 700;
|
||||
padding: 2px 6px;
|
||||
border-radius: 4px;
|
||||
background: #334155;
|
||||
color: #cbd5e1;
|
||||
}
|
||||
.target-item:nth-child(1) .target-badge { background: #0284c7; color: #fff; }
|
||||
.target-item:nth-child(2) .target-badge { background: #16a34a; color: #fff; }
|
||||
.target-item:nth-child(3) .target-badge { background: #d97706; color: #fff; }
|
||||
.target-img {
|
||||
height: 48px;
|
||||
background: #cbd5e1;
|
||||
border-radius: 4px;
|
||||
padding: 2px;
|
||||
}
|
||||
.canvas-wrapper {
|
||||
position: relative;
|
||||
width: 672px;
|
||||
height: 480px;
|
||||
margin: 0 auto;
|
||||
border-radius: 8px;
|
||||
overflow: hidden;
|
||||
cursor: crosshair;
|
||||
box-shadow: 0 4px 12px rgba(0,0,0,0.3);
|
||||
}
|
||||
#bgCanvas {
|
||||
position: absolute;
|
||||
left: 0;
|
||||
top: 0;
|
||||
width: 672px;
|
||||
height: 480px;
|
||||
}
|
||||
.toolbar {
|
||||
margin-top: 18px;
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
}
|
||||
.btn-group { display: flex; gap: 10px; }
|
||||
button {
|
||||
padding: 8px 16px;
|
||||
border-radius: 6px;
|
||||
border: none;
|
||||
font-size: 14px;
|
||||
font-weight: 600;
|
||||
cursor: pointer;
|
||||
transition: all 0.15s ease;
|
||||
}
|
||||
.btn-primary { background: #0284c7; color: white; }
|
||||
.btn-primary:hover { background: #0369a1; }
|
||||
.btn-primary:disabled { background: #334155; cursor: not-allowed; opacity: 0.6; }
|
||||
.btn-secondary { background: #334155; color: #cbd5e1; }
|
||||
.btn-secondary:hover { background: #475569; }
|
||||
.btn-danger { background: #dc2626; color: white; }
|
||||
.btn-danger:hover { background: #b91c1c; }
|
||||
.points-display {
|
||||
font-size: 13px;
|
||||
color: var(--muted);
|
||||
font-family: monospace;
|
||||
}
|
||||
.shortcut-tip {
|
||||
font-size: 12px;
|
||||
color: #64748b;
|
||||
margin-top: 12px;
|
||||
text-align: center;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<div class="header">
|
||||
<div class="title">🎯 腾讯天御点选验证码 · 标注工具</div>
|
||||
<div class="stats" id="statsInfo">加载中...</div>
|
||||
</div>
|
||||
|
||||
<div class="card" id="mainCard">
|
||||
<div class="prompt-section">
|
||||
<div class="prompt-label" id="instructionText">请依次点击：</div>
|
||||
<div class="targets-container" id="targetsBox"></div>
|
||||
</div>
|
||||
|
||||
<div class="canvas-wrapper" id="canvasWrapper">
|
||||
<canvas id="bgCanvas" width="672" height="480"></canvas>
|
||||
</div>
|
||||
|
||||
<div class="toolbar">
|
||||
<div class="points-display" id="pointsText">已标记: 0 / 3 点</div>
|
||||
<div class="btn-group">
|
||||
<button class="btn-secondary" onclick="undoPoint()">撤销 (Z)</button>
|
||||
<button class="btn-secondary" onclick="resetPoints()">重选 (R)</button>
|
||||
<button class="btn-secondary" onclick="skipSample()">跳过 (S)</button>
|
||||
<button class="btn-primary" id="saveBtn" onclick="submitLabel()" disabled>保存并下一题 (Enter)</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="shortcut-tip">快捷键: 点击大图标记坐标 | [Z] 撤销 | [R] 重置 | [S] 跳过 | [Enter/Space] 保存</div>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
let currentSample = null;
|
||||
let clickedPoints = [];
|
||||
const canvas = document.getElementById("bgCanvas");
|
||||
const ctx = canvas.getContext("2d");
|
||||
let bgImage = new Image();
|
||||
|
||||
const COLORS = ["#0284c7", "#16a34a", "#d97706"];
|
||||
|
||||
async function loadNext() {
|
||||
const res = await fetch("/api/next");
|
||||
const data = await res.json();
|
||||
if (data.finished) {
|
||||
alert("🎉 所有已采集样本标注完成！");
|
||||
return;
|
||||
}
|
||||
currentSample = data.sample;
|
||||
document.getElementById("statsInfo").innerText = `已标注: ${data.stats.labeled} / 总样本: ${data.stats.total}`;
|
||||
document.getElementById("instructionText").innerText = currentSample.instruction || "请依次点击：";
|
||||
|
||||
// 渲染提示图标
|
||||
const container = document.getElementById("targetsBox");
|
||||
container.innerHTML = "";
|
||||
currentSample.sliced_prompts.forEach((src, i) => {
|
||||
const item = document.createElement("div");
|
||||
item.className = "target-item";
|
||||
item.innerHTML = `
|
||||
<span class="target-badge">目标 ${i+1}</span>
|
||||
<img class="target-img" src="${src}">
|
||||
`;
|
||||
container.appendChild(item);
|
||||
});
|
||||
|
||||
// 渲染背景图
|
||||
clickedPoints = [];
|
||||
updateDisplay();
|
||||
bgImage.onload = () => drawCanvas();
|
||||
bgImage.src = currentSample.bg_b64;
|
||||
}
|
||||
|
||||
function drawCanvas() {
|
||||
ctx.clearRect(0, 0, canvas.width, canvas.height);
|
||||
ctx.drawImage(bgImage, 0, 0, canvas.width, canvas.height);
|
||||
|
||||
// 绘制点击点
|
||||
clickedPoints.forEach((pt, i) => {
|
||||
const color = COLORS[i] || "#ef4444";
|
||||
// 外圆
|
||||
ctx.beginPath();
|
||||
ctx.arc(pt.x, pt.y, 16, 0, 2 * Math.PI);
|
||||
ctx.fillStyle = color;
|
||||
ctx.fill();
|
||||
ctx.lineWidth = 2;
|
||||
ctx.strokeStyle = "#ffffff";
|
||||
ctx.stroke();
|
||||
|
||||
// 内部数字
|
||||
ctx.fillStyle = "#ffffff";
|
||||
ctx.font = "bold 13px sans-serif";
|
||||
ctx.textAlign = "center";
|
||||
ctx.textBaseline = "middle";
|
||||
ctx.fillText(`${i+1}`, pt.x, pt.y);
|
||||
});
|
||||
}
|
||||
|
||||
canvas.addEventListener("click", (e) => {
|
||||
if (!currentSample || clickedPoints.length >= 3) return;
|
||||
const rect = canvas.getBoundingClientRect();
|
||||
const scaleX = canvas.width / rect.width;
|
||||
const scaleY = canvas.height / rect.height;
|
||||
const x = Math.round((e.clientX - rect.left) * scaleX);
|
||||
const y = Math.round((e.clientY - rect.top) * scaleY);
|
||||
|
||||
clickedPoints.push({ x, y });
|
||||
drawCanvas();
|
||||
updateDisplay();
|
||||
});
|
||||
|
||||
function updateDisplay() {
|
||||
const saveBtn = document.getElementById("saveBtn");
|
||||
document.getElementById("pointsText").innerText = `已标记: ${clickedPoints.length} / 3 点 ${JSON.stringify(clickedPoints.map(p => [p.x, p.y]))}`;
|
||||
saveBtn.disabled = clickedPoints.length !== 3;
|
||||
}
|
||||
|
||||
function undoPoint() {
|
||||
if (clickedPoints.length > 0) {
|
||||
clickedPoints.pop();
|
||||
drawCanvas();
|
||||
updateDisplay();
|
||||
}
|
||||
}
|
||||
|
||||
function resetPoints() {
|
||||
clickedPoints = [];
|
||||
drawCanvas();
|
||||
updateDisplay();
|
||||
}
|
||||
|
||||
function skipSample() {
|
||||
loadNext();
|
||||
}
|
||||
|
||||
async function submitLabel() {
|
||||
if (clickedPoints.length !== 3) return;
|
||||
const payload = {
|
||||
sample_id: currentSample.sample_id,
|
||||
points: clickedPoints,
|
||||
};
|
||||
const res = await fetch("/api/save", {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify(payload)
|
||||
});
|
||||
if (res.ok) {
|
||||
loadNext();
|
||||
} else {
|
||||
alert("保存失败，请检查终端日志");
|
||||
}
|
||||
}
|
||||
|
||||
window.addEventListener("keydown", (e) => {
|
||||
if (e.key === "z" || e.key === "Z") undoPoint();
|
||||
if (e.key === "r" || e.key === "R") resetPoints();
|
||||
if (e.key === "s" || e.key === "S") skipSample();
|
||||
if (e.key === "Enter" || e.key === " ") {
|
||||
if (clickedPoints.length === 3) submitLabel();
|
||||
}
|
||||
});
|
||||
|
||||
loadNext();
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
"""
|
||||
|
||||
|
||||
class LabelHandler(BaseHTTPRequestHandler):
|
||||
def do_GET(self):
|
||||
url = urlparse(self.path)
|
||||
if url.path in ["/", "/index.html"]:
|
||||
self.send_response(200)
|
||||
self.send_header("Content-Type", "text/html; charset=utf-8")
|
||||
self.end_headers()
|
||||
self.wfile.write(HTML_TEMPLATE.encode("utf-8"))
|
||||
return
|
||||
|
||||
if url.path == "/api/next":
|
||||
all_samples = get_all_samples()
|
||||
labeled_ids = get_labeled_sample_ids()
|
||||
|
||||
unlabeled = [s for s in all_samples if s.get("sample_id") not in labeled_ids]
|
||||
if not unlabeled:
|
||||
resp_data = {"finished": True, "stats": {"total": len(all_samples), "labeled": len(labeled_ids)}}
|
||||
else:
|
||||
next_sample = unlabeled[0]
|
||||
sample_data = get_sample_data(next_sample["sample_id"])
|
||||
resp_data = {
|
||||
"finished": False,
|
||||
"sample": sample_data,
|
||||
"stats": {"total": len(all_samples), "labeled": len(labeled_ids)},
|
||||
}
|
||||
|
||||
self.send_response(200)
|
||||
self.send_header("Content-Type", "application/json; charset=utf-8")
|
||||
self.end_headers()
|
||||
self.wfile.write(json.dumps(resp_data).encode("utf-8"))
|
||||
return
|
||||
|
||||
self.send_response(404)
|
||||
self.end_headers()
|
||||
|
||||
def do_POST(self):
|
||||
url = urlparse(self.path)
|
||||
if url.path == "/api/save":
|
||||
content_len = int(self.headers.get("Content-Length", 0))
|
||||
body = self.rfile.read(content_len).decode("utf-8")
|
||||
data = json.loads(body)
|
||||
sample_id = data.get("sample_id")
|
||||
points = data.get("points", [])
|
||||
|
||||
if not sample_id or len(points) != 3:
|
||||
self.send_response(400)
|
||||
self.end_headers()
|
||||
return
|
||||
|
||||
LABEL_FILE.parent.mkdir(parents=True, exist_ok=True)
|
||||
CROPS_DIR.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# 保存切片作为正样本
|
||||
bg_path = RAW_DIR / f"{sample_id}_bg.png"
|
||||
if bg_path.exists():
|
||||
bg_img = Image.open(bg_path).convert("RGBA")
|
||||
for i, pt in enumerate(points):
|
||||
cx, cy = pt["x"], pt["y"]
|
||||
# 裁剪 54x54 小图块
|
||||
crop_box = (max(0, cx - 27), max(0, cy - 27), min(672, cx + 27), min(480, cy + 27))
|
||||
crop_patch = bg_img.crop(crop_box)
|
||||
crop_patch.save(CROPS_DIR / f"{sample_id}_target_{i+1}.png")
|
||||
|
||||
# 写入 labels.jsonl
|
||||
record = {
|
||||
"sample_id": sample_id,
|
||||
"points": points,
|
||||
"ans_format": [{"elem_id": i + 1, "type": "DynAnswerType_POS", "data": f"{p['x']},{p['y']}"} for i, p in enumerate(points)],
|
||||
}
|
||||
with open(LABEL_FILE, "a", encoding="utf-8") as f:
|
||||
f.write(json.dumps(record, ensure_ascii=False) + "\n")
|
||||
|
||||
logger.info("✓ 成功保存样本标注: %s -> %s", sample_id, points)
|
||||
self.send_response(200)
|
||||
self.send_header("Content-Type", "application/json")
|
||||
self.end_headers()
|
||||
self.wfile.write(b'{"status":"ok"}')
|
||||
return
|
||||
|
||||
self.send_response(404)
|
||||
self.end_headers()
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="腾讯点选验证码轻量 Web 打标工具")
|
||||
parser.add_argument("--port", type=int, default=8765, help="本地服务端口 (默认: 8765)")
|
||||
args = parser.parse_args()
|
||||
|
||||
server = ThreadingHTTPServer(("127.0.0.1", args.port), LabelHandler)
|
||||
logger.info("🚀 打标工作台已启动: http://127.0.0.1:%d", args.port)
|
||||
logger.info("在浏览器打开上述地址即可开始打标，按 Ctrl+C 停止")
|
||||
try:
|
||||
server.serve_forever()
|
||||
except KeyboardInterrupt:
|
||||
logger.info("打标服务已停止")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -39,12 +39,14 @@ version = "0.1.0"
|
||||
source = { virtual = "." }
|
||||
dependencies = [
|
||||
{ name = "httpx" },
|
||||
{ name = "numpy" },
|
||||
{ name = "pillow" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "httpx", specifier = ">=0.28.1" },
|
||||
{ name = "numpy", specifier = ">=2.5.3" },
|
||||
{ name = "pillow", specifier = ">=12.3.0" },
|
||||
]
|
||||
|
||||
@@ -85,6 +87,79 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/57/b0/0e52c878c53f245edd3a11020f20979b3f490f245af532c7cae3027754b5/idna-3.19-py3-none-any.whl", hash = "sha256:815e7be7a7806d54abb586dc943addc79e8b2ee16915059658cbeff4b1b43bf4", size = 68550, upload-time = "2026-08-18T05:14:22.343Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "2.5.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/13/01/11703282db468b85f6f7b8c7f22d058de5970d5c7e60a3a8aaa313c3de36/numpy-2.5.3.tar.gz", hash = "sha256:df2d5874ff183595a4ba404edd04f6bd9b5505c1d7708573f6a6c17489a67563", size = 20791231, upload-time = "2026-09-06T16:27:47.073Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/d6/50/8fdbb16af64895706a45f06a4068e29db732ec180f3c1375f14123359138/numpy-2.5.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:cb189f09db39283b26bfd061ec16189e14f71c6755207f72a0f7540867afe5b9", size = 16994982, upload-time = "2026-09-06T16:24:29.244Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/60/39/789131c1188c078dcb3a1692e72e1e050c68b88ffe72c9ccaac9bcd7a9cd/numpy-2.5.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f59a878c33d6b88122d80d239bb3b845d58708750b0cb06a09aebb9b18ec696c", size = 12009327, upload-time = "2026-09-06T16:24:32.491Z" },
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[[package]]
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name = "pillow"
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version = "12.3.0"
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Reference in New Issue
Block a user