环视 分屏
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lib/librknn_api.so
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lib/librknn_api.so
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lib/librknnrt.so
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lib/librknnrt.so
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model/anchors_yolov5.txt
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model/anchors_yolov5.txt
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10.0
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13.0
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30.0
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model/bus.jpg
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model/bus.jpg
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model/coco_80_labels_list.txt
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model/coco_80_labels_list.txt
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person
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bicycle
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car
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motorcycle
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airplane
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bus
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train
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truck
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boat
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traffic light
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fire hydrant
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stop sign
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parking meter
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bench
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bird
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cat
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dog
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horse
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sheep
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cow
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elephant
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bear
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zebra
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giraffe
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backpack
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umbrella
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handbag
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tie
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suitcase
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frisbee
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skis
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snowboard
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sports ball
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kite
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baseball bat
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baseball glove
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skateboard
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surfboard
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tennis racket
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bottle
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wine glass
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cup
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fork
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knife
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spoon
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bowl
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banana
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apple
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sandwich
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orange
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broccoli
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carrot
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hot dog
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pizza
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donut
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cake
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chair
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couch
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potted plant
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bed
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dining table
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toilet
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tv
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laptop
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mouse
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remote
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keyboard
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cell phone
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microwave
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oven
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toaster
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sink
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refrigerator
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book
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clock
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vase
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scissors
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teddy bear
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hair drier
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toothbrush
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model/download_model.sh
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model/download_model.sh
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wget -O ./yolov5s_relu.onnx https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba134f8b180b3f7a1/examples/yolov5/yolov5s_relu.onnx
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templates/index.html
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templates/index.html
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<!DOCTYPE html>
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<html>
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<head><title>Surround View System</title></head>
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<body style="background:#111;color:white;text-align:center;">
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<h2>🚗 四路摄像头 + 环视鸟瞰图</h2>
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<div>
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<h3>四路分屏</h3>
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<img src="/video_feed_original" width="800"/>
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</div>
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<div style="margin-top:20px;">
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<h3>鸟瞰图 (Bird's Eye View)</h3>
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<img src="/video_feed_birdview" width="500"/>
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</div>
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<p>按 Ctrl+C 停止服务 | 账号: admin / 密码: password123</p>
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</body>
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</html>
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3
video.py
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video.py
@@ -7,7 +7,6 @@ import numpy as np
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from surround_view import FisheyeCameraModel, BirdView
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import surround_view.param_settings as settings
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class MultiCameraBirdView:
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def __init__(self):
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self.running = True
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@@ -138,7 +137,7 @@ def main():
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birdview = BirdView()
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Gmat, Mmat = birdview.get_weights_and_masks(projected) # 初始化权重矩阵
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birdview.update_frames(projected)
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birdview.stitch_all_parts()
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birdview.get_weights_and_masks.stitch_all_parts()
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birdview.make_white_balance()
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birdview.copy_car_image()
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img_small = cv2.resize(birdview.image, (300, 600))
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web.py
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web.py
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# from turtle import right
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import cv2
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import threading
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import sys
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import os
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import argparse
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import numpy as np
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from surround_view import FisheyeCameraModel, BirdView
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import surround_view.param_settings as settings
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right_frame = None
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class MultiCameraBirdView:
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def __init__(self):
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self.running = True
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self.names = settings.camera_names # e.g., ['front', 'back', 'left', 'right']
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self.yamls = [os.path.join(os.getcwd(), "yaml", name + ".yaml") for name in self.names]
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self.camera_models = [
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FisheyeCameraModel(camera_file, camera_name)
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for camera_file, camera_name in zip(self.yamls, self.names)
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]
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# 摄像头设备映射
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self.which_cameras = {"front": 0, "back": 2, "left": 1, "right": 3}
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self.caps = []
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print("[INFO] 初始化摄像头...")
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for name in self.names:
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cap = cv2.VideoCapture(self.which_cameras[name], cv2.CAP_ANY)
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cap.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc(*"YUYV"))
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cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
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cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
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cap.set(cv2.CAP_PROP_BUFFERSIZE, 1) # 最小缓冲,降低延迟
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if not cap.isOpened():
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print(f"[ERROR] 无法打开 {name} 摄像头 (设备 {self.which_cameras[name]})", file=sys.stderr)
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self.running = False
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return
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self.caps.append(cap)
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self.birdview = BirdView()
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self._initialize_weights()
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def _initialize_weights(self):
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try:
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images = [os.path.join(os.getcwd(), "images", name + ".png") for name in self.names]
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static_frames = []
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for img_path, cam_model in zip(images, self.camera_models):
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img = cv2.imread(img_path)
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if img is None:
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print(f"[WARN] 静态图缺失: {img_path},用黑图代替")
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img = np.zeros((1080, 1920, 3), dtype=np.uint8)
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img = cam_model.undistort(img)
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img = cam_model.project(img)
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img = cam_model.flip(img)
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static_frames.append(img)
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if len(static_frames) == 4:
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self.birdview.get_weights_and_masks(static_frames)
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print("[INFO] 权重矩阵初始化成功")
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except Exception as e:
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print(f"[ERROR] 权重初始化失败: {e}", file=sys.stderr)
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def process_frame_once(self, frame, model):
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"""只处理一次:去畸变 + 投影 + 翻转"""
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frame = model.undistort(frame)
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frame = model.project(frame)
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frame = model.flip(frame)
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return frame
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def process_frame_undistort(self, frame, model):
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"""只处理一次:去畸变 + 投影 + 翻转"""
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frame = model.undistort(frame)
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# frame = model.project(frame)
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# frame = model.flip(frame)
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return frame
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def run(self):
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current_view = "front" # 默认显示前视图
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while self.running:
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raw_frames = {}
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processed_frames = []
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valid = True
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# 读取并处理所有摄像头帧
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for i, (cap, model, name) in enumerate(zip(self.caps, self.camera_models, self.names)):
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ret, frame = cap.read()
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if not ret or frame is None:
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print(f"[WARN] 跳过 {name} 帧")
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valid = False
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break
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# 保存原始帧(用于右侧显示)
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raw_frames[name] = frame.copy()
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# 处理用于鸟瞰图的帧
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p_frame = self.process_frame_once(frame, model)
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processed_frames.append(p_frame)
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if not valid or len(processed_frames) != 4:
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continue
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# 更新鸟瞰图
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self.birdview.update_frames(processed_frames)
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self.birdview.stitch_all_parts()
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self.birdview.make_white_balance()
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self.birdview.copy_car_image()
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# 获取当前选中的单路图像(已校正)
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single_img = self.process_frame_undistort(raw_frames[current_view], self.camera_models[self.names.index(current_view)])
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birdview_img = self.birdview.image
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# 拼接显示:左侧鸟瞰图(1/3),右侧单路(2/3)
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h_display, w_display = 720, 1280
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w_bird = w_display // 3
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w_single = w_display - w_bird
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bird_resized = cv2.resize(birdview_img, (w_bird, h_display))
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single_resized = cv2.resize(single_img, (w_single, h_display))
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display = np.hstack((bird_resized, single_resized))
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cv2.namedWindow('Video', cv2.WND_PROP_FULLSCREEN)
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cv2.setWindowProperty('Video', cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
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cv2.imshow("Video", display)
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key = cv2.waitKey(1) & 0xFF
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if key == ord('q'):
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self.running = False
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break
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elif key == ord('1'):
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current_view = "front"
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elif key == ord('2'):
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current_view = "back"
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elif key == ord('3'):
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current_view = "left"
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elif key == ord('4'):
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current_view = "right"
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# 释放资源
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for cap in self.caps:
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cap.release()
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cv2.destroyAllWindows()
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def main():
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print("🚀 启动实时四路环视系统...")
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print("操作说明:")
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print(" 1 - 前视图 | 2 - 后视图 | 3 - 左视图 | 4 - 右视图")
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print(" q - 退出程序")
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multi_cam = MultiCameraBirdView()
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if multi_cam.running:
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multi_cam.run()
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else:
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print("[ERROR] 摄像头初始化失败")
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if __name__ == "__main__":
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main()
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yolov5s-640-640.rknn
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yolov5s-640-640.rknn
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