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https://github.com/huggingface/candle.git
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Move more models to candle-transformers (#796)
* Move dinov2. * Move efficientnet. * Move the quantized llama model. * Move segment-anything.
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@ -1,6 +1,5 @@
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pub mod coco_classes;
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pub mod imagenet;
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pub mod object_detection;
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use candle::{Device, Result, Tensor};
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@ -1,52 +0,0 @@
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/// A bounding box around an object.
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#[derive(Debug, Clone)]
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pub struct Bbox<D> {
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pub xmin: f32,
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pub ymin: f32,
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pub xmax: f32,
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pub ymax: f32,
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pub confidence: f32,
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pub data: D,
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}
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#[derive(Debug, Clone, Copy, PartialEq)]
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pub struct KeyPoint {
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pub x: f32,
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pub y: f32,
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pub mask: f32,
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}
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/// Intersection over union of two bounding boxes.
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pub fn iou<D>(b1: &Bbox<D>, b2: &Bbox<D>) -> f32 {
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let b1_area = (b1.xmax - b1.xmin + 1.) * (b1.ymax - b1.ymin + 1.);
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let b2_area = (b2.xmax - b2.xmin + 1.) * (b2.ymax - b2.ymin + 1.);
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let i_xmin = b1.xmin.max(b2.xmin);
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let i_xmax = b1.xmax.min(b2.xmax);
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let i_ymin = b1.ymin.max(b2.ymin);
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let i_ymax = b1.ymax.min(b2.ymax);
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let i_area = (i_xmax - i_xmin + 1.).max(0.) * (i_ymax - i_ymin + 1.).max(0.);
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i_area / (b1_area + b2_area - i_area)
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}
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pub fn non_maximum_suppression<D>(bboxes: &mut [Vec<Bbox<D>>], threshold: f32) {
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// Perform non-maximum suppression.
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for bboxes_for_class in bboxes.iter_mut() {
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bboxes_for_class.sort_by(|b1, b2| b2.confidence.partial_cmp(&b1.confidence).unwrap());
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let mut current_index = 0;
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for index in 0..bboxes_for_class.len() {
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let mut drop = false;
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for prev_index in 0..current_index {
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let iou = iou(&bboxes_for_class[prev_index], &bboxes_for_class[index]);
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if iou > threshold {
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drop = true;
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break;
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}
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}
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if !drop {
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bboxes_for_class.swap(current_index, index);
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current_index += 1;
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}
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}
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bboxes_for_class.truncate(current_index);
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}
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}
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