1. Opencv图像 转 QImage

def cvimage_to_qimage(cvimage):  image = cv2.cvtColor(cvimage, cv2.COLOR_BGR2RGB)qimage = QImage(image.data, image.shape[1], image.shape[0], image.strides[0]， QImage.Format_RGB888)return qimage

2. Opencv图像 转 QPixmap

只需要加上一行 QPixmap.fromImage(qimage) 即可

def cvimage_to_qpixmap(cvimage):  image = cv2.cvtColor(cvimage, cv2.COLOR_BGR2RGB)qimage = QImage(image.data, image.shape[1], image.shape[0], image.strides[0], QImage.Format_RGB888)return QPixmap.fromImage(qimage)

3. QImage 转 Opencv图像

def qimage_to_cvimage(self, qimage):buf = qimage.constBits()  # 获取图像数据的指针width, height = qimage.width(), qimage.height()  # 获取图像的宽度和高度buf.setsize(qimage.byteCount())  # 设置缓冲区的大小为图像的字节数return np.array(buf).reshape(height, width, 4).copy()  # 将缓冲区转换为 NumPy 数组，并重新形状为图像尺寸

4. QPixmap 转 opencv图像

只需要加上一行 qimage = qpixmap.toImage() # 转为Qimage 即可

def qpixmap_to_cvimage(self, qpixmap):qimage = qpixmap.toImage() # 转为Qimagebuf = qimage.constBits()  # 获取图像数据的指针width, height = qimage.width(), qimage.height()  # 获取图像的宽度和高度buf.setsize(qimage.byteCount())  # 设置缓冲区的大小为图像的字节数return np.array(buf).reshape(height, width, 4).copy()  # 将缓冲区转换为 NumPy 数组，并重新形状为图像尺寸

5. QPixmap 转 QImage

qimage = qpixmap.toImage() # 转为Qimage

6. QImage 转 QPixmap

qpixmap = QPixmap.fromImage(qimage) # 转为QPixmap