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
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