zimoyin
cdf228fe56
- 在app.py中引入loguru并配置日志轮转、异步输出等功能 - 添加全局日志初始化函数和程序启动/退出日志记录 - 将所有print语句替换为logger.info/error/debug/warning方法 - 在data_source.py中添加模型加载和视频打开的日志记录 - 在各个处理器中集成日志记录器实例并记录处理状态 - 修改处理器模块导入路径以符合相对导入规范 - 在requirements.txt中添加loguru依赖包 - 统一异常处理的日志记录方式，便于调试和监控
263 lines
8.8 KiB
Python
263 lines
8.8 KiB
Python
import numpy as np
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import cv2
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import math
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from collections import deque, defaultdict
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from ..base_processor import BaseProcessor
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from ..pipeline_data import PipelineData
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class GraffitiProcessor(BaseProcessor):
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"""涂鸦计算处理器：计算车辆轨迹并更新车道涂鸦"""
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def __init__(self, name: str = "涂鸦计算处理器"):
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super().__init__(name)
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# 可调参数
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self.MAX_HEAT = 10.0
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self.INC_PER_PASS = 1.0
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self.DEC_PER_OPPOSITE = 1.0
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self.MIN_MOVE_DIST = 6.0
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self.MIN_CUM_DIST = 20.0
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self.HISTORY_LEN = 16
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self.HEAT_DECAY_PER_FRAME = 0.002
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self.VEHICLE_CLASSES = {2, 3, 5, 7}
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self.FULL_DECAY_EVERY = 30 # 每30帧进行一次全图衰减
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# 初始化数据结构（在process中根据帧尺寸初始化）
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self.graffiti = None
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self.frame_shape = None
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self.track_hist = defaultdict(lambda: deque(maxlen=self.HISTORY_LEN))
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self.track_cum_dist = defaultdict(float)
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self.frame_idx = 0
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def init_graffiti(self, h, w):
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"""初始化涂鸦数据结构"""
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if self.graffiti is None or self.frame_shape != (h, w):
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self.graffiti = GraffitiLane(w, h)
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self.frame_shape = (h, w)
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def process(self, data: PipelineData) -> PipelineData:
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"""处理每一帧，更新涂鸦数据"""
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if data.current_result is None or data.frame is None:
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return data
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frame = data.frame
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h, w = frame.shape[:2]
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self.init_graffiti(h, w)
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self.frame_idx = data.frame_idx
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# 周期性对整图做完整衰减
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if self.frame_idx % self.FULL_DECAY_EVERY == 0:
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self.graffiti.full_decay(self.frame_idx)
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# 获取检测框
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boxes = getattr(data.current_result, "boxes", None)
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if boxes is None:
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return data
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# 处理每个检测框
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for box in boxes:
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try:
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# 解析检测框
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xyxy = getattr(box, "xyxy", None)
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if xyxy is None:
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continue
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x1, y1, x2, y2 = map(float, xyxy[0].tolist())
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cls = int(getattr(box, "cls", -1))
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track_id = int(getattr(box, "id", -1))
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# 仅处理车辆类
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if cls not in self.VEHICLE_CLASSES:
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continue
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# 更新轨迹和历史
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self._update_track(track_id, x1, y1, x2, y2)
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# 如果累计距离达到阈值，更新涂鸦
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if (self.track_cum_dist[track_id] >= self.MIN_CUM_DIST and
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len(self.track_hist[track_id]) >= 2):
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self._update_graffiti(track_id, x2 - x1)
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self.track_cum_dist[track_id] = 0.0
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except Exception as e:
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continue
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# 清理长时间不活跃的track
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self._cleanup_old_tracks()
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# 存储涂鸦数据到PipelineData（deque转换为list以便序列化）
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data.put_data("graffiti", "heat_map", self.graffiti.heat)
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data.put_data("graffiti", "dir_x_map", self.graffiti.dir_x)
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data.put_data("graffiti", "dir_y_map", self.graffiti.dir_y)
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data.put_data("graffiti", "track_hist", {
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track_id: list(hist) for track_id, hist in self.track_hist.items()
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})
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data.put_data("graffiti", "track_cum_dist", dict(self.track_cum_dist))
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return data
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def _update_track(self, track_id, x1, y1, x2, y2):
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"""更新车辆轨迹信息"""
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cx, cy = (x1 + x2) / 2.0, (y1 + y2) / 2.0
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prev_centers = self.track_hist[track_id]
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if len(prev_centers) > 0:
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last_cx, last_cy = prev_centers[-1]
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move_dist = math.hypot(cx - last_cx, cy - last_cy)
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else:
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move_dist = 0.0
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if len(prev_centers) > 0:
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self.track_cum_dist[track_id] += move_dist
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else:
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self.track_cum_dist[track_id] = 0.0
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if move_dist >= self.MIN_MOVE_DIST:
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prev_centers.append((cx, cy))
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elif len(prev_centers) == 0:
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prev_centers.append((cx, cy))
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def _update_graffiti(self, track_id, vehicle_width):
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"""根据车辆轨迹更新涂鸦"""
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hist = self.track_hist[track_id]
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if len(hist) < 2:
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return
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cp_prev = hist[-2]
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cp_cur = hist[-1]
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# 创建多边形掩码
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poly = self._polygon_from_segment(cp_prev, cp_cur, max(8.0, vehicle_width))
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if poly is None:
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return
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# 计算ROI掩码
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bbox_roi, mask_roi = self._polygon_mask_roi_from_pts(poly, self.frame_shape)
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if mask_roi.size == 0:
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return
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# 计算方向向量
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dir_vec = self._normalize_vec((cp_cur[0] - cp_prev[0], cp_cur[1] - cp_prev[1]))
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dir_vec_scaled = dir_vec.astype(np.float32) * 1.0
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# 更新涂鸦
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self.graffiti.apply_paint_roi(
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bbox_roi, mask_roi, dir_vec_scaled,
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inc=self.INC_PER_PASS,
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current_frame=self.frame_idx
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)
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def _cleanup_old_tracks(self):
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"""清理长时间不活跃的track，防止内存泄漏"""
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# 可以根据需要实现，比如超过一定帧数没有更新就清理
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# 这里先不实现，根据实际情况调整
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pass
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def _polygon_from_segment(self, center_prev, center_cur, veh_width_px):
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"""从两点构造矩形带"""
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x0, y0 = center_prev
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x1, y1 = center_cur
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vx = x1 - x0
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vy = y1 - y0
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dist = math.hypot(vx, vy)
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if dist == 0:
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return None
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ux, uy = vx / dist, vy / dist
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px, py = -uy, ux
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half_w = veh_width_px / 2.0
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p0 = (int(round(x0 + px * half_w)), int(round(y0 + py * half_w)))
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p1 = (int(round(x0 - px * half_w)), int(round(y0 - py * half_w)))
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p2 = (int(round(x1 - px * half_w)), int(round(y1 - py * half_w)))
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p3 = (int(round(x1 + px * half_w)), int(round(y1 + py * half_w)))
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return np.array([p0, p1, p2, p3], dtype=np.int32)
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def _polygon_mask_roi_from_pts(self, pts, img_shape):
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"""在多边形最小包围矩形内生成局部掩码"""
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if pts is None or len(pts) == 0:
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return (0, 0, 0, 0), np.zeros((0, 0), dtype=np.uint8)
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x, y, w, h = cv2.boundingRect(pts)
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x2 = min(x + w, img_shape[1])
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y2 = min(y + h, img_shape[0])
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w = x2 - x
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h = y2 - y
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if w <= 0 or h <= 0:
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return (0, 0, 0, 0), np.zeros((0, 0), dtype=np.uint8)
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pts_roi = pts.copy()
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pts_roi[:, 0] -= x
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pts_roi[:, 1] -= y
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mask = np.zeros((h, w), dtype=np.uint8)
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cv2.fillPoly(mask, [pts_roi], 1)
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return (x, y, w, h), mask
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def _normalize_vec(self, v):
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"""归一化向量"""
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v = np.array(v, dtype=np.float32)
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norm = np.linalg.norm(v)
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if norm == 0:
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return np.array([0.0, 0.0], dtype=np.float32)
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return v / norm
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class GraffitiLane:
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"""涂鸦车道数据结构"""
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def __init__(self, frame_w, frame_h):
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self.w = frame_w
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self.h = frame_h
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self.heat = np.zeros((self.h, self.w), dtype=np.float32)
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self.dir_x = np.zeros((self.h, self.w), dtype=np.float32)
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self.dir_y = np.zeros((self.h, self.w), dtype=np.float32)
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self.last_decay_frame = 0
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def _decay_factor(self, frames):
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if frames <= 0:
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return 1.0
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return (1.0 - 0.002) ** frames # HEAT_DECAY_PER_FRAME = 0.002
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def lazy_decay_roi(self, bbox, current_frame):
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x, y, w, h = bbox
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if w <= 0 or h <= 0:
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return
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frames = current_frame - self.last_decay_frame
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if frames <= 0:
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return
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factor = self._decay_factor(frames)
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self.heat[y:y + h, x:x + w] *= factor
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self.dir_x[y:y + h, x:x + w] *= factor
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self.dir_y[y:y + h, x:x + w] *= factor
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def full_decay(self, current_frame):
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"""在整图上强制应用pending衰减（用于周期性清理）"""
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frames = current_frame - self.last_decay_frame
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if frames <= 0:
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return
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factor = self._decay_factor(frames)
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if factor == 1.0:
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self.last_decay_frame = current_frame
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return
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# 对整图应用因子
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self.heat *= factor
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self.dir_x *= factor
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self.dir_y *= factor
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self.last_decay_frame = current_frame
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def apply_paint_roi(self, bbox, mask_roi, direction_vector, inc=1.0, current_frame=0):
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self.lazy_decay_roi(bbox, current_frame)
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x, y, w, h = bbox
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add = inc * mask_roi.astype(np.float32)
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self.heat[y:y + h, x:x + w] = np.minimum(10.0, self.heat[y:y + h, x:x + w] + add) # MAX_HEAT = 10.0
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dx, dy = direction_vector
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self.dir_x[y:y + h, x:x + w] += dx * add
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self.dir_y[y:y + h, x:x + w] += dy * add |