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Added comments about how to run multiple detectors together efficiently.

This commit is contained in:
Davis King 2018-02-10 16:58:02 -05:00
parent 2d3dd3c830
commit 1ec5a94554
1 changed files with 14 additions and 0 deletions
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python_examples/train_object_detector.py
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@ -131,6 +131,20 @@ for f in glob.glob(os.path.join(faces_folder, "*.jpg")):
# Next, suppose you have trained multiple detectors and you want to run them
# efficiently as a group. You can do this as follows:
detector1 = dlib.fhog_object_detector("detector.svm")
# In this example we load detector.svm again since it's the only one we have on
# hand. But in general it would be a different detector.
detector2 = dlib.fhog_object_detector("detector.svm")
# make a list of all the detectors you wan to run. Here we have 2, but you
# could have any number.
detectors = [detector1, detector2]
image = io.imread(faces_folder + '/2008_002506.jpg');
[boxes, confidences, detector_idxs] = dlib.fhog_object_detector.run_multiple(detectors, image, upsample_num_times=1, adjust_threshold=0.0)
for i in range(len(boxes)):
print("detector {} found box {} with confidence {}.".format(detector_idxs[i], boxes[i], confidences[i]))