jens
78f1aec00d
- added ocv_template_matching.py for evaluationof template matcher - fixed template matching from tracker bounding box
34 lines
898 B
Python
34 lines
898 B
Python
import cv2
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import sys
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import numpy as np
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import imutils as im
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def template_match_rotation(source, template, angle, center, rot_min=-1.0, rot_max=+1.0, n_steps=10, scale=1):
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best_angle = 0
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best_r = 0
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best_max_loc = 0
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r = 0
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im_source = im.resize(source, scale * source.shape[0], scale * source.shape[1])
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for dangle in np.linspace(rot_min, rot_max, n_steps):
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# rotated and scale up to IMG_SCALE_UP-size
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im_template = im.rotate(template, angle + dangle, center=center, scale=scale)
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# Perform template match operations
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res = cv2.matchTemplate(im_source, im_template, cv2.TM_CCOEFF_NORMED)
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(minVal, maxVal, minLoc, maxLoc) = cv2.minMaxLoc(res)
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r = maxVal
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if r > best_r:
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best_r = r
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best_angle = dangle
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best_max_loc = (maxLoc[0]/scale, maxLoc[1]/scale)
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else:
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break
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angle += best_angle
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loc_x = best_max_loc[0]
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loc_y = best_max_loc[1]
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return angle, (loc_x, loc_y)
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