本文共 1867 字，大约阅读时间需要 6 分钟。

def genConfig(seq_path, set_type):    path, seqname = os.path.split(seq_path)        img_list = sorted([seq_path + '/img/' + p for p in os.listdir(seq_path + '/img') if os.path.splitext(p)[1] == '.jpg'])        if seqname == 'Jogging_1' or seqname == 'Skating2_1':        gt = np.loadtxt(seq_path + '/groundtruth_rect.1.txt')    elif seqname == 'Jogging_2' or seqname == 'Skating2_2':        gt = np.loadtxt(seq_path + '/groundtruth_rect.2.txt')    elif seqname == 'Human4':        gt = np.loadtxt(seq_path + '/groundtruth_rect.2.txt', delimiter=',')    else:        gt = np.loadtxt(seq_path + '/groundtruth_rect.txt', delimiter=',')        if seqname == 'David':        img_list = img_list[299:]    if seqname == 'Football1':        img_list = img_list[0:74]    if seqname == 'Freeman3':        img_list = img_list[0:460]    if seqname == 'Freeman4':        img_list = img_list[0:283]    if seqname == 'Diving':        img_list = img_list[0:215]    if seqname == 'Tiger1':        img_list = img_list[5:]        if gt.shape[1] == 8:        x_min = np.min(gt[:, [0, 2, 4, 6]], axis=1)[:, None]        y_min = np.min(gt[:, [1, 3, 5, 7]], axis=1)[:, None]        x_max = np.max(gt[:, [0, 2, 4, 6]], axis=1)[:, None]        y_max = np.max(gt[:, [1, 3, 5, 7]], axis=1)[:, None]        gt = np.concatenate((x_min, y_min, x_max - x_min, y_max - y_min), axis=1)        return img_list, gt

以下是关于代码的主要描述：

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