Last year I wrote an article about visualizing embedding vectors of a variety of different pictures as heatmaps. I used TorchVision with ImageNet1K_V1 model for encoding a bunch of different cat, dog and plane images into their embeddings, 1000 floating-point values in each resulting vector. I used the generate_embeddings.py script for that. This whole exercise is just for my own learning (and fun), so it’s ok if there’s no other practical value coming from this work. - Linux, Oracle, SQL...
