Tensorflow: Does tf.image.resize still not align corners?

Tensorflow is a popular open-source machine learning framework developed by Google. One of the key operations in image processing is resizing images, and Tensorflow provides the tf.image.resize function for this purpose. However, there has been a long-standing issue with this function when it comes to aligning corners of the resized images.

The issue with tf.image.resize not aligning corners has been a topic of discussion and frustration among Tensorflow users for quite some time. When resizing images using this function, the corners of the original image often do not align with the corners of the resized image, leading to potential alignment issues in downstream tasks such as object detection and segmentation.

Despite numerous bug reports and requests for a fix, the issue with tf.image.resize not aligning corners has still not been resolved as of the latest Tensorflow versions. This has led many users to resort to workarounds or custom implementations to ensure proper alignment of corners in resized images.

While Tensorflow continues to evolve and improve with each new release, the issue with tf.image.resize not aligning corners highlights the importance of thorough testing and consideration of corner cases in the development of machine learning frameworks and libraries. Until a fix is implemented, users are advised to be aware of this limitation and take appropriate measures to address it in their workflows.