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base_ui.py
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base_ui.py
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import cv2
import sys
import torch
from PySide6.QtWidgets import QMainWindow, QApplication, QFileDialog
from PySide6.QtGui import QPixmap, QImage
from PySide6.QtCore import QTimer
from ui_main_window import Ui_MainWindow
def convert2QImage(img):
height, width, channel = img.shape
return QImage(img, width, height, width * channel, QImage.Format_RGB888)
class MainWindow(QMainWindow, Ui_MainWindow):
def __init__(self):
super(MainWindow, self).__init__()
self.setupUi(self)
self.model = torch.hub.load("./", "custom", path="runs/train/exp2/weights/best.pt", source="local")
self.timer = QTimer()
self.timer.setInterval(1)
self.video = None
self.bind_slots()
def image_pred(self, file_path):
results = self.model(file_path)
image = results.render()[0]
return convert2QImage(image)
def open_image(self):
print("点击了检测图片!")
self.timer.stop()
file_path = QFileDialog.getOpenFileName(self, dir="./datasets/images/train", filter="*.jpg;*.png;*.jpeg")
if file_path[0]:
file_path = file_path[0]
qimage = self.image_pred(file_path)
self.input.setPixmap(QPixmap(file_path))
self.output.setPixmap(QPixmap.fromImage(qimage))
def video_pred(self):
ret, frame = self.video.read()
if not ret:
self.timer.stop()
else:
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
self.input.setPixmap(QPixmap.fromImage(convert2QImage(frame)))
results = self.model(frame)
image = results.render()[0]
self.output.setPixmap(QPixmap.fromImage(convert2QImage(image)))
def open_video(self):
print("点击了检测视频!")
file_path = QFileDialog.getOpenFileName(self, dir="./datasets", filter="*.mp4")
if file_path[0]:
file_path = file_path[0]
self.video = cv2.VideoCapture(file_path)
self.timer.start()
def bind_slots(self):
self.det_image.clicked.connect(self.open_image)
self.det_video.clicked.connect(self.open_video)
self.timer.timeout.connect(self.video_pred)
if __name__ == "__main__":
app = QApplication(sys.argv)
window = MainWindow()
window.show()
app.exec()