The shape member of numpy array contains image height at first index and width at second index.Ī usual convention used for the naming convention is that M is the number of rows or height of the image while N is the number of columns or width of the image.Īnother problem is that not all the sub-images are being saved because names are assigned using y variable only which eventually overwrites the existing images due to repetition of y. By accounting for the space between frames as well as the additional distance introduced by the mat, you'll create the illusion of continuity, making the final product feel seamless.There is a bit of confusion which I guess is caused by how numpy handles image dimensions and coordinates using the (row, column) convention and how OpenCV handles them using (x, y) convention. Pro tip: Keep in mind, the negative space between each framed photo will also need to serve as "negative space" that's been cropped out of your photo. Making sure each frame has a point of interest, if possible, will only make the resulting effect that much stronger. It's fun to isolate elements within each frame to help the triptych's individual pieces feel more intentional. Try creating each artboard to be the size of the frame, experiment with your spacing, then export at full resolution. (You crop your photo into thirds using your computer's native photo editing program as well, so don't be discouraged if you don't have Photoshop!) We find Photoshop's artboard tool helpful for dividing your photo into thirds prior to beginning your project in our website's editor.
Key to breaking up your image is maximizing visual interest and continuity.
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