def multi_feat_match(template, image, options=None):
"""
Match template and image by extracting multiple features (specified) from it.
:param template: Template image
:param image: Search image
:param options: Options include
- features: List of options for each feature
:return:
"""
h, w = image.shape[:2]
scale = 1
if options is not None and 'features' in options:
heatmap = np.zeros((h, w), dtype=np.float64)
for foptions in options['features']:
f_hmap, _ = feature_match(template, image, foptions)
heatmap += cv.resize(f_hmap, (w, h), interpolation=cv.INTER_AREA)
heatmap /= len(options['features'])
else:
heatmap, scale = feature_match(template, image, options)
return heatmap, scale
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