Convert Portrait Images to Landscape with AI in One Click

Table of Contents

1. Introduction
2. Converting portrait Images to Landscape Using AI
3. Step 1: Finding Relevant Portrait Images
4. Step 2: Setting up the Canvas
5. Step 3: Resizing the Image
6. Step 4: Creating Two Cropped Images
7. Step 5: Extending the Images on Canvas
8. Step 6: Combining the Images
9. Step 7: Using OpenCV Stitcher
10. Conclusion

Converting Portrait Images to Landscape Using AI

In this article, we will explore the exciting topic of converting portrait images to landscape in just one click using AI. We will leverage the Stable Diffusion algorithm available as an API from Segmine and combine it with the image stitching algorithm of OpenCV to create wide landscape images from a single portrait image.

Step 1: Finding Relevant Portrait Images

To begin, we need to find relevant portrait images that we can use for our conversion. You can find these images from stock photo sites like Pixabay, which offer royalty-free images for commercial usage. Once you have selected an appropriate image, save it to your device.

Step 2: Setting up the Canvas

After obtaining the portrait image, we need to fix the canvas for our painting. We will set the canvas size to 1024x1024 pixels. If the image is not already in this size, we will resize it such that the maximum dimension is 1024 pixels, usually the Height. This will ensure a uniform canvas for painting the image.

Step 3: Resizing the Image

Next, we resize the image to fit the canvas size while maintaining the aspect ratio. The goal is to extend the image on the left and right sides to make it a landscape image. To achieve this, we will create two additional images by cropping the original image - one that captures the first three-quarters and another that captures the last three-quarters.

Step 4: Creating Two Cropped Images

By cropping the original image, we create two separate images with the width of 768 pixels and the height of 1024 pixels. The first cropped image captures the first three-quarters of the original image, while the Second cropped image captures the last three-quarters.

Step 5: Extending the Images on Canvas

Now, we need to place each of the cropped images on a new 1024x1024 canvas. For the first cropped image, we extend it on the left side by giving it an X offset of 256 pixels. This will ensure a space of 256 pixels is left on the left side. For the second cropped image, we extend it on the right side without any X offset.

Step 6: Combining the Images

With the extended versions of the two cropped images, we now have two images with a good overlap in the middle. We can easily combine these two images to create a wide landscape image using the OpenCV Stitcher class. This function will automatically stitch the images together, matching the overlapping regions.

Step 7: Using OpenCV Stitcher

By utilizing the OpenCV Stitcher, we can seamlessly merge the two images to create a final landscape image. This stitching process ensures a smooth transition between the two images, giving the impression of a single Cohesive picture.

Conclusion

In conclusion, we have demonstrated how portrait images can be converted into landscape images using AI. By following these steps, we can easily achieve this conversion with just one click. This technique opens up various possibilities for transforming images and allows for greater flexibility in how we use and display visual content.

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