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+ # -*- coding: utf-8 -*-
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+ """1705.159.252
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+
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+ Automatically generated by Colab.
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+
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+ Original file is located at
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+ https://colab.research.google.com/drive/1SzDicEXWRqpiPKW8HkGdpUFIT-SbS8Xd
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+ """
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+
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+ import torch
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+
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+ def intersection_over_union(boxes_preds, boxes_labels, box_format="midpoint"):
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+
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+ if box_format == "midpoint":
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+ box1_x1 = boxes_preds[..., 0:1] - boxes_preds[..., 2:3] / 2
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+ box1_y1 = boxes_preds[..., 1:2] - boxes_preds[..., 3:4] / 2
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+ box1_x2 = boxes_preds[..., 0:1] + boxes_preds[..., 2:3] / 2
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+ box1_y2 = boxes_preds[..., 1:2] + boxes_preds[..., 3:4] / 2
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+ box2_x1 = boxes_labels[..., 0:1] - boxes_labels[..., 2:3] / 2
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+ box2_y1 = boxes_labels[..., 1:2] - boxes_labels[..., 3:4] / 2
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+ box2_x2 = boxes_labels[..., 0:1] + boxes_labels[..., 2:3] / 2
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+ box2_y2 = boxes_labels[..., 1:2] + boxes_labels[..., 3:4] / 2
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+
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+ elif box_format == "corners":
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+ box1_x1 = boxes_preds[..., 0:1]
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+ box_y1 = boxes_preds[..., 1:2]
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+ box1_x2 = boxes_preds[..., 2:3]
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+ box1_y2 = boxes_preds[..., 3:4]
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+ box2_x1 = boxes_labels[...,0:1]
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+ box2_y1 = boxes_labels[...,1:2]
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+ box2_x2 = boxes_labels[...,2:3]
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+ box2_y2 = boxes_labels[...,3:4]
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+
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+ x1 = torch.max(box1_x1, box2_x1)
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+ y1 = torch.max(box1_y1, box2_y1)
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+ x2 = torch.min(box1_x2, box2_x2)
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+ y2 = torch.min(box1_y2, box2_y2)
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+
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+ intersection = (x2 - x1).clamp(0) * (y2- y1).clamp(0)
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+
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+ box1_area = abs((box1_x2 - box1_x1) * (box1_y1 - box1_y2))
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+ box2_area = abs((box2_x2 - box2_x1) * (box2_y1 - box2_y2))
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+
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+ return intersection / (box1_area + box2_area - intersection + 1e-6)