写一个关于Python百度aip人体关键点识别的GUI代码
时间: 2024-03-23 07:37:46 浏览: 15
好的,以下是一个基于 Python 和 PyQt5 的百度aip人体关键点识别GUI代码示例:
```python
import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QLabel, QPushButton, QFileDialog
from PyQt5.QtGui import QPixmap
from aip import AipBodyAnalysis
# 设置百度aip的参数
APP_ID = 'your_app_id'
API_KEY = 'your_api_key'
SECRET_KEY = 'your_secret_key'
client = AipBodyAnalysis(APP_ID, API_KEY, SECRET_KEY)
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
# 设置窗口标题和大小
self.setWindowTitle('人体关键点识别')
self.setGeometry(100, 100, 800, 600)
# 添加标签和按钮
self.label = QLabel(self)
self.label.setGeometry(10, 10, 500, 500)
self.button = QPushButton('选择图片', self)
self.button.setGeometry(550, 50, 200, 50)
# 连接按钮点击事件
self.button.clicked.connect(self.select_image)
def select_image(self):
# 打开文件选择对话框
file_name, _ = QFileDialog.getOpenFileName(self, '选择图片', '', 'Image files (*.jpg *.png)')
# 调用百度aip的人体关键点识别接口
with open(file_name, 'rb') as f:
image_data = f.read()
result = client.bodyAnalysis(image_data)
# 获取人体关键点坐标
body_parts = result['person_info'][0]['body_parts']
points = []
for part in body_parts.values():
x, y = part['x'], part['y']
points.append((x, y))
# 在图片上绘制关键点
pixmap = QPixmap(file_name)
painter = pixmap.toImage().painter()
pen = painter.pen()
pen.setWidth(10)
pen.setColor(Qt.red)
painter.setPen(pen)
for point in points:
painter.drawPoint(QPoint(point[0], point[1]))
self.label.setPixmap(pixmap)
if __name__ == '__main__':
app = QApplication(sys.argv)
main_window = MainWindow()
main_window.show()
sys.exit(app.exec_())
```
在运行代码之前,需要先安装以下依赖库:
- PyQt5
- baidu-aip
你需要将 `your_app_id`、`your_api_key` 和 `your_secret_key` 替换为你自己的百度aip应用参数。运行程序后,点击按钮选择一张图片,程序会自动调用百度aip的人体关键点识别接口,获取关键点坐标,并在图片上绘制出关键点。