Utilities for object detection

Some ready to use utilities that could be useful during an object detection application:

• Label Encoder to transform raw labels into targets for training
• Anchor Box generation
• Conversion of anchor box from [xmin, ymin, xmax, ymax] to [x, y, width, height] and vice versa
• Visualization of Anchor Box
• Anchor optimization for custom data set using MetaAnchor (citations 100) or KNN means

Not including other utilities like non max suppression and generating bounding box since they are available under tf.image.

[bhack]

Yes but admin can convert also an issue to a discussion: https://docs.github.com/en/discussions/managing-discussions-for-your-community/moderating-discussions#converting-an-issue-to-a-discussion

[bhack]

Ah ok… with enough resources we could review also this. I suppose with that current PR/maintainer ratio it will be still not a problem. When this repo will have more popularity probably and PR are going to have lags in the review probably we could try to figure out some priorities.

In that case we could evaluate how much coverage we want to have to all the features related to anchor based models: Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection(CVPR 2020 - citations >300)