Building Massive Gradient Images Without Running Out of Memory Using pyaitk.CLSE (opens in new tab)

When generating images in Python, most developers load the entire image into memory before saving it to disk. That works well for small images. But what happens when you start working with images that are thousands of pixels wide and tall? A 4000×4000 RGB image contains 16 million pixels. As image sizes continue to grow, memory usage quickly becomes a bottleneck. This is where pyaitk.CLSE's StreamingWriter becomes useful. Instead of storing the entire image in memory, StreamingWriter allows r...