40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
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import xmltodict
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import numpy as np
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import glob
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import cv2
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def xml_to_dataset(dir, size=None):
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tab_image=[]
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tab_label=[]
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for fichier in glob.glob(dir+"/*.xml"):
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with open(fichier) as fd:
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doc=xmltodict.parse(fd.read())
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image=doc['annotation']['filename']
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img=cv2.imread(dir+"/"+image)
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objects=doc['annotation']['object'] if type(doc['annotation']['object'])==list else [doc['annotation']['object']]
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for obj in objects:
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xmin=int(obj['bndbox']['xmin'])
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xmax=int(obj['bndbox']['xmax'])
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ymin=int(obj['bndbox']['ymin'])
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ymax=int(obj['bndbox']['ymax'])
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if size is not None:
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tab_image.append(cv2.resize(img[ymin:ymax, xmin:xmax], size))
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else:
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tab_image.append(img[ymin:ymax, xmin:xmax])
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tab_label.append(obj['name'])
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l=list(set(tab_label))
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tab_one_hot=[]
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for e in tab_label:
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tab_one_hot.append(np.eye(len(l))[l.index(e)])
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return tab_image, l, tab_one_hot
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tab_image, tab_label, tab_one_hot=xml_to_dataset("./", (32, 32))
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for i in range(len(tab_image)):
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cv2.imshow('image', tab_image[i])
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print(tab_label[np.argmax(tab_one_hot[i])], tab_one_hot[i])
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cv2.waitKey()
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