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如果檢測到的人臉的概率/質量較低,我想使用dlib庫(包含python2)在靜態圖像中進行人臉檢測,我想放棄這些人臉。因此我想要一個函數來給出檢測到的人臉的概率。或者另一個可用於丟棄質量的度量標準將會很有幫助。在dlib中獲取檢測到的人臉的概率
如果檢測到的人臉的概率/質量較低,我想使用dlib庫(包含python2)在靜態圖像中進行人臉檢測,我想放棄這些人臉。因此我想要一個函數來給出檢測到的人臉的概率。或者另一個可用於丟棄質量的度量標準將會很有幫助。在dlib中獲取檢測到的人臉的概率
提取的official example:
# Finally, if you really want to you can ask the detector to tell you the score
# for each detection. The score is bigger for more confident detections.
# The third argument to run is an optional adjustment to the detection threshold,
# where a negative value will return more detections and a positive value fewer.
# Also, the idx tells you which of the face sub-detectors matched. This can be
# used to broadly identify faces in different orientations.
if (len(sys.argv[1:]) > 0):
img = io.imread(sys.argv[1])
dets, scores, idx = detector.run(img, 1, -1)
for i, d in enumerate(dets):
print("Detection {}, score: {}, face_type:{}".format(
d, scores[i], idx[i]))