opencv find_shape_model
时间: 2023-10-09 11:15:23 浏览: 33
OpenCV provides a function called `cv2.findContours()` that can be used to find the contours of a shape in an image.
To find a specific shape model, you can first create a template of the shape you want to find. This can be done by drawing the shape on a blank image and saving it.
Then, you can use the `cv2.matchTemplate()` function to match the template to the image and find the location of the shape.
Here is an example code snippet for finding a circle shape model in an image:
```python
import cv2
# Load the image
img = cv2.imread('image.jpg')
# Create a template of the circle shape
template = cv2.imread('circle_template.jpg', cv2.IMREAD_GRAYSCALE)
# Find the contours of the image
_, contours, _ = cv2.findContours(img, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
# Loop through the contours and match the template
for contour in contours:
# Get the bounding box of the contour
x, y, w, h = cv2.boundingRect(contour)
# Crop the image to the bounding box
roi = img[y:y+h, x:x+w]
# Match the template to the ROI
result = cv2.matchTemplate(roi, template, cv2.TM_CCOEFF_NORMED)
# Set a threshold for the match result
threshold = 0.7
# Find the location of the shape
locations = np.where(result >= threshold)
# Draw a rectangle around the shape
for loc in zip(*locations[::-1]):
cv2.rectangle(img, (x+loc[0], y+loc[1]), (x+loc[0]+w, y+loc[1]+h), (0, 0, 255), 2)
# Display the image with the detected shape
cv2.imshow('Detected shape', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
```
Note that this is just one way to find a shape model in an image using OpenCV. Depending on the complexity of the shape, you may need to use more advanced techniques such as feature detection or machine learning.