self.label.setPixmap(self.current_image) # 在标签上显示图片 TypeError: setPixmap(self, a0: QPixmap): argument 1 has unexpected type 'str'
时间: 2024-02-24 12:55:57 浏览: 169
这个错误提示表明,setPixmap() 方法需要传入一个 QPixmap 类型的参数,但是你传入的是一个字符串类型的参数。
可能是因为你在调用 setPixmap() 方法时,传入的参数类型不正确。你可以检查一下传入 setPixmap() 方法的参数是否正确,如果不正确,可以尝试将其转换为 QPixmap 类型后再传入。
举个例子,如果你想将一个名为 "example.jpg" 的图片显示在标签上,可以使用以下代码:
```
from PyQt5.QtGui import QPixmap
from PyQt5.QtWidgets import QLabel
label = QLabel()
pixmap = QPixmap("example.jpg")
label.setPixmap(pixmap)
```
这里,我们先使用 QPixmap 类的构造函数加载图片,然后调用 setPixmap() 方法将其显示在标签上。
相关问题
修改以下代码使其能够输出模型预测结果: def open_image(self): file_dialog = QFileDialog() file_paths, _ = file_dialog.getOpenFileNames(self, "选择图片", "", "Image Files (*.png *.jpg *.jpeg)") if file_paths: self.display_images(file_paths) def preprocess_images(self, image_paths): data_transform = transforms.Compose([ transforms.CenterCrop(150), transforms.ToTensor(), transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]) ]) self.current_image_paths = [] images = [] for image_path in image_paths: image = Image.open(image_path) image = data_transform(image) image = torch.unsqueeze(image, dim=0) images.append(image) self.current_image_paths.append(image_path) return images def predict_images(self): if not self.current_image_paths: return for i, image_path in enumerate(self.current_image_paths): image = self.preprocess_image(image_path) output = self.model(image) predicted_class = self.class_dict[output.argmax().item()] self.result_labels[i].setText(f"Predicted Class: {predicted_class}") self.progress_bar.setValue((i+1)*20) def display_images(self, image_paths): for i, image_path in enumerate(image_paths): image = QImage(image_path) image = image.scaled(300, 300, Qt.KeepAspectRatio) if i == 0: self.image_label_1.setPixmap(QPixmap.fromImage(image)) elif i == 1: self.image_label_2.setPixmap(QPixmap.fromImage(image)) elif i == 2: self.image_label_3.setPixmap(QPixmap.fromImage(image)) elif i == 3: self.image_label_4.setPixmap(QPixmap.fromImage(image)) elif i == 4: self.image_label_5.setPixmap(QPixmap.fromImage(image))
请注意,代码中的 preprocess_images 函数和 predict_images 函数中的 self.preprocess_image(image_path) 需要修改为 self.preprocess_images([image_path])。修改后的代码如下:
```
def open_image(self):
file_dialog = QFileDialog()
file_paths, _ = file_dialog.getOpenFileNames(self, "选择图片", "", "Image Files (*.png *.jpg *.jpeg)")
if file_paths:
self.display_images(file_paths)
def preprocess_images(self, image_paths):
data_transform = transforms.Compose([
transforms.CenterCrop(150),
transforms.ToTensor(),
transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
])
self.current_image_paths = []
images = []
for image_path in image_paths:
image = Image.open(image_path)
image = data_transform(image)
image = torch.unsqueeze(image, dim=0)
images.append(image)
self.current_image_paths.append(image_path)
return images
def predict_images(self):
if not self.current_image_paths:
return
for i, image_path in enumerate(self.current_image_paths):
image = self.preprocess_images([image_path])
output = self.model(image[0])
predicted_class = self.class_dict[output.argmax().item()]
self.result_labels[i].setText(f"Predicted Class: {predicted_class}")
self.progress_bar.setValue((i+1)*20)
def display_images(self, image_paths):
for i, image_path in enumerate(image_paths):
image = QImage(image_path)
image = image.scaled(300, 300, Qt.KeepAspectRatio)
if i == 0:
self.image_label_1.setPixmap(QPixmap.fromImage(image))
elif i == 1:
self.image_label_2.setPixmap(QPixmap.fromImage(image))
elif i == 2:
self.image_label_3.setPixmap(QPixmap.fromImage(image))
elif i == 3:
self.image_label_4.setPixmap(QPixmap.fromImage(image))
elif i == 4:
self.image_label_5.setPixmap(QPixmap.fromImage(image))
```
self.label.setPixmap(frame) # 将图片添加到标签 TypeError: setPixmap(self, a0: QPixmap): argument 1 has unexpected type 'numpy.ndarray'
当遇到`TypeError: setPixmap(self, a0: QPixmap): argument 1 has unexpected type 'numpy.ndarray'`这样的错误时,通常是因为你试图将一个NumPy数组(`numpy.ndarray`)作为`QPixmap`传递给`setPixmap()`方法,而这个方法期望的是`QPixmap`对象。
在PyQt中,你需要先将NumPy数组转换为`QImage`,然后再从`QImage`创建`QPixmap`。以下是修复这个问题的步骤:
```python
import numpy as np
from PyQt6.QtGui import QImage, QPixmap
# 假设你有一个NumPy数组array
array = ... # 你的numpy图像数据
# 将numpy数组转换为QImage
q_image = QImage(array.data, array.shape[1], array.shape[0], array.strides[0], QImage.Format_RGB888)
# 使用QImage创建QPixmap
pixmap = QPixmap.fromImage(q_image)
# 然后你可以将pixmap设置到label
self.label.setPixmap(pixmap)
```
这样应该可以解决你的TypeError,将图像显示在标签上。
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