empty() in function 'cV: : CascadeClassifier::detectMultiScale
时间: 2024-05-10 19:17:21 浏览: 9
`empty()` is a function in the `CascadeClassifier` class of OpenCV library which is used to check if the classifier object is empty or not. The `detectMultiScale` function of `CascadeClassifier` class is used for object detection in an image or video stream.
If you are getting an error related to `empty()` in `detectMultiScale`, it means that the `CascadeClassifier` object is not properly initialized or loaded. You should check if the classifier file is present in the specified path and if it is loaded successfully.
Here's an example code snippet to load a classifier and detect objects in an image using `CascadeClassifier` class:
```python
import cv2
# Load the classifier file
cascade_classifier = cv2.CascadeClassifier('path/to/classifier/file.xml')
# Load the image
img = cv2.imread('path/to/image.jpg')
# Convert the image to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Detect objects in the image
objects = cascade_classifier.detectMultiScale(gray)
# Draw rectangles around the detected objects
for (x, y, w, h) in objects:
cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
# Display the image with detected objects
cv2.imshow('Detected Objects', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
```
Make sure to replace the paths to classifier file and image file with the actual paths on your system.
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