wehub-resource-sync
37 lines
953 B
Python
37 lines
953 B
Python
import torch
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from detectron2.data.detection_utils import read_image
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from detectron2.data.transforms import ResizeTransform, TransformList
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def normalize_bbox(bbox, size):
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return [
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int(1000 * bbox[0] / size[0]),
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int(1000 * bbox[1] / size[1]),
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int(1000 * bbox[2] / size[0]),
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int(1000 * bbox[3] / size[1]),
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]
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def simplify_bbox(bbox):
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return [
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min(bbox[0::2]),
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min(bbox[1::2]),
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max(bbox[2::2]),
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max(bbox[3::2]),
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]
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def merge_bbox(bbox_list):
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x0, y0, x1, y1 = list(zip(*bbox_list))
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return [min(x0), min(y0), max(x1), max(y1)]
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def load_image(image_path):
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image = read_image(image_path, format="BGR")
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h = image.shape[0]
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w = image.shape[1]
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img_trans = TransformList([ResizeTransform(h=h, w=w, new_h=224, new_w=224)])
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image = torch.tensor(img_trans.apply_image(image).copy()).permute(2, 0, 1) # copy to make it writeable
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return image, (w, h)
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