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face-random/3-1.py

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import sys
import random
import cv2
from cvzone.FaceDetectionModule import FaceDetector
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from PySide6.QtCore import QTimer
from PySide6.QtGui import QImage, QPixmap
from PySide6.QtWidgets import QApplication, QWidget, QLabel, QPushButton
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class FaceRandomApp(QWidget):
def __init__(self):
super().__init__()
self.setWindowTitle("Face Random Selector")
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# 状态normal → random
self.state = "normal"
self.selected_face_index = -1
self.static_frame = None # 保存随机状态下的静态画面
self.all_faces_snapshot = [] # 保存所有人脸信息快照
# ---------------- 摄像头 ----------------
self.cap = cv2.VideoCapture(0)
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# 设置摄像头分辨率
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self.cap.set(3, 1280)
self.cap.set(4, 720)
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# 设置窗口初始大小
self.resize(1280, 720)
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# 使用长距离模型和更低的人脸检测阈值以提高检测率
self.detector = FaceDetector(minDetectionCon=0.25, modelSelection=1)
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# ---------------- 创建界面 ----------------
self.setup_ui()
self.faces = []
def setup_ui(self):
# 视频标签 - 填充整个窗口
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self.video_label = QLabel(self)
self.video_label.setStyleSheet("background:#000;")
self.video_label.setGeometry(0, 0, self.width(), self.height())
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# 按钮 - 叠加在视频上
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self.btn = QPushButton("随机", self)
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self.btn.setFixedSize(140, 55)
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self.btn.setStyleSheet("""
QPushButton {
background-color: rgba(0, 0, 0, 120);
color: white;
font-size: 20px;
padding: 10px 20px;
border-radius: 8px;
}
QPushButton:hover {
background-color: rgba(30, 30, 30, 180);
}
""")
self.btn.clicked.connect(self.button_clicked)
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# 初始按钮位置
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self.update_button_position()
def resizeEvent(self, event):
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"""窗口大小改变时自动调整视频和按钮位置"""
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self.video_label.setGeometry(0, 0, self.width(), self.height())
self.update_button_position()
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super().resizeEvent(event)
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def update_button_position(self):
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"""更新按钮位置"""
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btn_w = 140
btn_h = 55
margin = 20
self.btn.setGeometry(
margin,
self.height() - btn_h - margin,
btn_w,
btn_h
)
# ---------------------------------------------------------
# 逻辑按钮:随机 ↔ 重置
# ---------------------------------------------------------
def button_clicked(self):
if self.state == "normal":
# 切换到随机状态
self.state = "random"
self.btn.setText("重置")
# 随机选择一个人脸
if len(self.faces) > 0:
self.selected_face_index = random.randint(0, len(self.faces) - 1)
# 保存当前帧作为静态画面
ret, img = self.cap.read()
if ret:
img = cv2.flip(img, 1)
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# 调整图像大小以适应窗口
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img = cv2.resize(img, (self.video_label.width(), self.video_label.height()))
self.static_frame = img.copy()
self.all_faces_snapshot = self.faces.copy()
else: # self.state == "random"
# 切换回初始状态
self.state = "normal"
self.selected_face_index = -1
self.static_frame = None
self.all_faces_snapshot = []
self.btn.setText("随机")
# ---------------------------------------------------------
# 刷视频帧
# ---------------------------------------------------------
def update_frame(self):
# ============================
# 状态normal检测所有人脸并显示绿框
# ============================
if self.state == "normal":
ret, img = self.cap.read()
if not ret:
return
img = cv2.flip(img, 1)
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# 调整图像大小以适应窗口
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img = cv2.resize(img, (self.video_label.width(), self.video_label.height()))
# 检测人脸
img, faces = self.detector.findFaces(img, draw=False)
self.faces = faces if faces else []
# 绘制所有人脸为绿色
for face in self.faces:
x, y, w, h = face["bbox"]
score = face["score"][0]
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 3)
cv2.putText(img, f"{score:.2f}", (x, y - 10),
cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
# 显示图像
self.display_image(img)
# ============================
# 状态random显示静态画面选中的人脸为红色其他为绿色
# ============================
elif self.state == "random" and self.static_frame is not None:
img = self.static_frame.copy()
# 绘制所有人脸,选中的为红色,其他为绿色
for i, face in enumerate(self.all_faces_snapshot):
x, y, w, h = face["bbox"]
score = face["score"][0]
if i == self.selected_face_index:
color = (0, 0, 255) # 红色
else:
color = (0, 255, 0) # 绿色
cv2.rectangle(img, (x, y), (x + w, y + h), color, 3)
cv2.putText(img, f"{score:.2f}", (x, y - 10),
cv2.FONT_HERSHEY_SIMPLEX, 0.6, color, 2)
# 显示图像
self.display_image(img)
# ---------------------------------------------------------
# 显示图像到 QLabel
# ---------------------------------------------------------
def display_image(self, img):
rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
h, w, ch = rgb.shape
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bytes_per_line = ch * w
qimg = QImage(rgb.data, w, h, bytes_per_line, QImage.Format.Format_RGB888)
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self.video_label.setPixmap(QPixmap.fromImage(qimg))
# ---------------------------------------------------------
def closeEvent(self, event):
if self.cap.isOpened():
self.cap.release()
event.accept()
def main():
app = QApplication(sys.argv)
window = FaceRandomApp()
window.show()
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# 启动定时器
timer = QTimer()
timer.timeout.connect(window.update_frame)
timer.start(30)
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sys.exit(app.exec())
if __name__ == "__main__":
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main()