how do i draw a bounding box in opencv given a keras prediction? in python

To draw bounding boxes in OpenCV given a Keras prediction, you first need to load the image and the prediction. You can use the cv2.rectangle() function to draw a rectangle around the object in the image.

Here is an example code snippet that demonstrates how to do this:

main.py
import cv2

# Load the image
image = cv2.imread('image.jpg')

# Load the Keras prediction (assuming it's in the format [x, y, width, height])
prediction = [100, 100, 50, 50]

# Extract the box coordinates from the prediction
x, y, w, h = prediction

# Draw the bounding box around the object in the image
cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)

# Display the image with the bounding box
cv2.imshow('image', image)
cv2.waitKey(0)
cv2.destroyAllWindows()
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In this example, we load the image and the Keras prediction for the bounding box coordinates. We then extract these coordinates and use them to draw a rectangle around the object in the image using the cv2.rectangle() function. We then display the image with the bounding box using the cv2.imshow() function.