yml2213
5c4ff8c4a1
- targets.py 增加 label 字段（1ms 签到 / mliev 登录），下拉框、说明、历史表统一用友好名 - POST /api/jobs 支持 count(1~20)：一次任务连打 N 发，发间自动按靶子频控节流、可取消 - 每发结果记入 stats.rounds，EVT_VERIFY 带 round，结果区展示「每发结果（通过 x/y）」彩色一览 - 滑块不再生成标注图（红圈+序号只表达点击顺序，对滑块是误导） - 观测台 README 补齐启动/后台运行/端口占用/自检说明
119 lines
5.4 KiB
Python
119 lines
5.4 KiB
Python
# -*- coding: utf-8 -*-
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"""展示层：把"点位"渲染成人能看懂的标注图，并给点位质量一个独立量尺。
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两个能力都有两类调用方，所以放在**包根**而不是 `web/` 里（它不是 web 专属）：
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* `scripts/verify/send_campaign.py` —— CLI 批量实验落图
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* `tcaptcha/web` —— 界面上的题目图 / 标注图
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量尺原理（`icon_centroid_offset`）：图标是近黑的线条画、背景是彩色的。在点击点周围
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截一个窗口，用 Otsu 分出**暗色笔画**，取笔画质心当"图标视觉中心"，报告点击点离它多远。
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这条量尺**独立于求解器**（求解器用的是 YOLO box 中心），所以能回答"到底点偏了多少"。
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"""
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from __future__ import annotations
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from typing import Any, Optional, Sequence, Tuple
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import cv2
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import numpy as np
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# 标注样式
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_RING_RADIUS = 18
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_RING_COLOR = (0, 0, 255) # BGR 红
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_IDX_COLOR = (0, 255, 0) # BGR 绿
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_CENTROID_COLOR = (255, 128, 0) # BGR 蓝
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def to_bgr(image: Any) -> np.ndarray:
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"""bytes / ndarray / PIL.Image 统一转成 BGR ndarray。"""
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if isinstance(image, (bytes, bytearray)):
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arr = cv2.imdecode(np.frombuffer(bytes(image), np.uint8), cv2.IMREAD_COLOR)
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if arr is None:
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raise ValueError("无法解码图片字节")
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return arr
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if isinstance(image, np.ndarray):
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return image if image.ndim == 3 else cv2.cvtColor(image, cv2.COLOR_GRAY2BGR)
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# PIL.Image
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rgb = np.array(image.convert("RGB"))
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return cv2.cvtColor(rgb, cv2.COLOR_RGB2BGR)
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def to_jpeg(image: Any, quality: int = 88) -> bytes:
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"""任意输入 -> JPEG 字节（给 HTTP 响应用）。"""
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bgr = to_bgr(image) if not isinstance(image, np.ndarray) else image
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ok, buf = cv2.imencode(".jpg", bgr, [int(cv2.IMWRITE_JPEG_QUALITY), quality])
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if not ok:
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raise ValueError("JPEG 编码失败")
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return buf.tobytes()
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def icon_centroid_offset(bg: Any, x: int, y: int,
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half: int = 32) -> Optional[Tuple[float, float, float]]:
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"""点击点 vs 该处图标**暗色笔画质心**。
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返回 `(质心x, 质心y, 离点击点的距离px)`；窗口里笔画太少（估不出中心）时返回 None。
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"""
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bgr = to_bgr(bg)
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h, w = bgr.shape[:2]
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x0, y0 = max(0, x - half), max(0, y - half)
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x1, y1 = min(w, x + half), min(h, y + half)
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patch = bgr[y0:y1, x0:x1]
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if patch.size == 0:
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return None
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gray = cv2.cvtColor(patch, cv2.COLOR_BGR2GRAY)
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_, binary = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
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ys, xs = np.nonzero(binary)
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if len(xs) < 20:
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return None
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cx, cy = float(xs.mean()) + x0, float(ys.mean()) + y0
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return (cx, cy, float(np.hypot(cx - x, cy - y)))
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def annotate_points(bg: Any,
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points: Sequence[Sequence[int]],
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prompt: Any = None,
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offsets: Optional[Sequence[Optional[float]]] = None,
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centroids: Optional[Sequence[Optional[Sequence[float]]]] = None,
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title: str = "",
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embed_prompt: bool = True) -> bytes:
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"""在底图上按**点击顺序**画编号红圈，可选贴提示图、标出质心与偏差。
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参数:
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points 点击点序列（背景图原始像素），**顺序即答案顺序**
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prompt 提示图（图标/文字点选题）
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offsets 每个点离图标笔画质心的距离（px），标在圈上
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centroids 每个点的质心坐标，画一个蓝色十字（一眼看出偏没偏）
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title 左上角标题（如 "第 1 题"）
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embed_prompt 是否把提示图贴进右上角。命令行/落盘单图查看时贴（默认 True）；
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**Web 界面传 False** —— 那边提示图是独立一张缩略图，
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贴进去只会挡住右上角的图标（实测会遮住一个目标）。"""
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bgr = to_bgr(bg)
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for i, pt in enumerate(points):
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x, y = int(pt[0]), int(pt[1])
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cv2.circle(bgr, (x, y), _RING_RADIUS, _RING_COLOR, 2)
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cv2.circle(bgr, (x, y), 2, _RING_COLOR, -1)
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label = str(i + 1)
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cv2.putText(bgr, label, (x - 8, y - _RING_RADIUS - 6),
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cv2.FONT_HERSHEY_SIMPLEX, 0.85, _IDX_COLOR, 2)
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if centroids and i < len(centroids) and centroids[i]:
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cx, cy = int(centroids[i][0]), int(centroids[i][1])
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cv2.drawMarker(bgr, (cx, cy), _CENTROID_COLOR, cv2.MARKER_CROSS, 12, 1)
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if offsets and i < len(offsets) and offsets[i] is not None:
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cv2.putText(bgr, "%.0fpx" % offsets[i], (x - 20, y + _RING_RADIUS + 16),
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cv2.FONT_HERSHEY_SIMPLEX, 0.5, _CENTROID_COLOR, 1)
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if prompt is not None and embed_prompt:
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try:
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pr = to_bgr(prompt)
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ph = max(1, bgr.shape[0] // 4)
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pw = max(1, int(pr.shape[1] * ph / pr.shape[0]))
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pr = cv2.resize(pr, (pw, ph))
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x0, y0 = max(0, bgr.shape[1] - pw - 4), 4
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bgr[y0:y0 + ph, x0:x0 + pw] = pr
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cv2.rectangle(bgr, (x0, y0), (x0 + pw, y0 + ph), (255, 255, 255), 1)
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except Exception: # noqa: BLE001 提示图坏了不影响主流程
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pass
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if title:
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cv2.putText(bgr, title, (6, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 3)
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cv2.putText(bgr, title, (6, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 0), 1)
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return to_jpeg(bgr)
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