def loadNumpyAnnotations(self, data):
        """
        Convert result data from a numpy array [Nx7] where each row contains {imageID,x1,y1,w,h,score,class}
        :param  data (numpy.ndarray)
        :return: annotations (python nested list)
        """
        print('Converting ndarray to lists...')
        assert(type(data) == np.ndarray)
        print(data.shape)
        assert(data.shape[1] == 7)
        N = data.shape[0]
        ann = []
        for i in range(N):
            if i % 1000000 == 0:
                print('{}/{}'.format(i,N))
            ann += [{
                'image_id'  : int(data[i, 0]),
                'bbox'  : [ data[i, 1], data[i, 2], data[i, 3], data[i, 4] ],
                'score' : data[i, 5],
                'category_id': int(data[i, 6]),
                }]
        return ann
Convert result data from a numpy array [Nx7] where each row contains {imageID,x1,y1,w,h,score,class}
        :param  data (numpy.ndarray)
        :return: annotations (python nested list)