opencv 读取onnx

可以使用OpenCV的dnn模块来读取ONNX模型。下面是一个示例代码，演示如何使用OpenCV和ONNX模型进行目标检测：

import cv2

# 加载ONNX模型
model = cv2.dnn.readNetFromONNX('model.onnx')

# 加载图像
image = cv2.imread('image.jpg')

# 对图像进行前处理
blob = cv2.dnn.blobFromImage(image, size=(300, 300), swapRB=True)

# 将blob作为输入传递给模型
model.setInput(blob)

# 进行推理
output = model.forward()

# 处理输出结果
for detection in output[0, 0, :, :]:
    score = detection[2]
    if score > 0.5:
        left = int(detection[3] * image.shape[1])
        top = int(detection[4] * image.shape[0])
        right = int(detection[5] * image.shape[1])
        bottom = int(detection[6] * image.shape[0])
        cv2.rectangle(image, (left, top), (right, bottom), (0, 255, 0), 2)

# 显示结果
cv2.imshow('Detection', image)
cv2.waitKey(0)
cv2.destroyAllWindows()