18b040f951c70d1788034866086b9115f5ffc4df,src/align/align_celeb.py,,main,#Any#,58

Before Change

            v = datamap.get(person, None)
            if v is None:
              continue
            if not img_id in v[1]:
              continue
            labelid = v[0]
            img_str = base64.b64decode(vec[-1])
            nparr = np.fromstring(img_str, np.uint8)
            img = cv2.imdecode(nparr, cv2.CV_LOAD_IMAGE_COLOR)

After Change

              _bb = fimage.bbox
              _minsize = min( [_bb[2]-_bb[0], _bb[3]-_bb[1], img.shape[0]//2, img.shape[1]//2] )
            else:
              _minsize = min(img.shape[0]//5, img.shape[1]//5)
            bounding_boxes, points = detect_face.detect_face(img, _minsize, pnet, rnet, onet, threshold, factor)
            bindex = -1
            nrof_faces = bounding_boxes.shape[0]
            if fimage.bbox is None and nrof_faces>0:

Instances