* return detections with classes names
* ignore .DS_Store
* example how to load wasm module
* add param to set model size
* add param for model size
* accept iou and confidence threshold on run
* conf and iou thresholds
* clamp only
* remove images from branch
* a couple of renamings, add readme with instructions
* final design
* minor font + border update
* Add some group parameter to convolutions.
* Avoid some unnecessary groups checks.
* Move the tensor convolution bits.
* Properh handling of groups.
* Bump the crate version.
* And add a changelog.
* Sketch the yolo wasm example.
* Web ui.
* Get the web ui to work.
* UI tweaks.
* More UI tweaks.
* Use the natural width/height.
* Add a link to the hf space in the readme.
