(dets, thresh)
return keep
Pure Python NMS baseline.
Pure Python NMS baseline.
Pure Python NMS baseline .
def nms(dets, thresh):
    """Pure Python NMS baseline."""
    x1 = dets[:, 0]
    y1 = dets[:, 1]
    x2 = dets[:, 2]
    y2 = dets[:, 3]
    scores = dets[:, 4]

    areas = (x2 - x1 + 1) * (y2 - y1 + 1)
    order = scores.argsort()[::-1]

    keep = []
    while order.size > 0:
        i = order[0]
        keep.append(i)
        xx1 = np.maximum(x1[i], x1[order[1:]])
        yy1 = np.maximum(y1[i], y1[order[1:]])
        xx2 = np.minimum(x2[i], x2[order[1:]])
        yy2 = np.minimum(y2[i], y2[order[1:]])

        w = np.maximum(0.0, xx2 - xx1 + 1)
        h = np.maximum(0.0, yy2 - yy1 + 1)
        inter = w * h
        ovr = inter / (areas[i] + areas[order[1:]] - inter)

        inds = np.where(ovr <= thresh)[0]
        order = order[inds + 1]

    return keep
def nms ( dets , thresh ) : x1 = dets [ : , 0 ] y1 = dets [ : , 1 ] x2 = dets [ : , 2 ] y2 = dets [ : , 3 ] scores = dets [ : , 4 ] areas = ( x2 - x1 + 1 ) * ( y2 - y1 + 1 ) order = scores . argsort ( ) [ : : - 1 ] keep = [ ] while order . size > 0 : i = order [ 0 ] keep . append ( i ) xx1 = np . maximum ( x1 [ i ] , x1 [ order [ 1 : ] ] ) yy1 = np . maximum ( y1 [ i ] , y1 [ order [ 1 : ] ] ) xx2 = np . minimum ( x2 [ i ] , x2 [ order [ 1 : ] ] ) yy2 = np . minimum ( y2 [ i ] , y2 [ order [ 1 : ] ] ) w = np . maximum ( 0.0 , xx2 - xx1 + 1 ) h = np . maximum ( 0.0 , yy2 - yy1 + 1 ) inter = w * h ovr = inter / ( areas [ i ] + areas [ order [ 1 : ] ] - inter ) inds = np . where ( ovr <= thresh ) [ 0 ] order = order [ inds + 1 ] return keep