code: def parse_mot_images(self, cfg):
      import glob
  
      # for quant
      dataset_dir = cfg["EvalMOTDataset"].dataset_dir
      data_root = cfg["EvalMOTDataset"].data_root
      data_root = "{}/{}".format(dataset_dir, data_root)
      seqs = os.listdir(data_root)
      seqs.sort()
      all_images = []
      for seq in seqs:
          infer_dir = os.path.join(data_root, seq)
          assert infer_dir is None or os.path.isdir(
              infer_dir
          ), "{} is not a directory".format(infer_dir)
          images = set()
          exts = ["jpg", "jpeg", "png", "bmp"]
          exts += [ext.upper() for ext in exts]
          for ext in exts:
              images.update(glob.glob("{}/*.{}".format(infer_dir, ext)))
          images = list(images)
          images.sort()
          assert len(images) > 0, "no image found in {}".format(
              infer_dir
          )
          all_images.extend(images)
          logger.info(
              "Found {} inference images in total.".format(len(images))
          )
      return all_images
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import copy
  import time
  from tqdm import tqdm
  import numpy
  import typing
  from PIL import Image, ImageOps, ImageFile
  import paddle
  import paddle.nn
  import paddle.distributed
  from paddle.distributed import fleet
  from paddle.static import InputSpec
  from ppdet.optimizer import ModelEMA
  from ppdet.core.workspace import create
  from ppdet.utils.checkpoint import load_weight, load_pretrain_weight
  from ppdet.utils.visualizer import visualize_results, save_result
  from ppdet.metrics import get_infer_results, KeyPointTopDownCOCOEval, KeyPointTopDownCOCOWholeBadyHandEval, KeyPointTopDownMPIIEval, Pose3DEval
  from ppdet.metrics import Metric, COCOMetric, VOCMetric, WiderFaceMetric, RBoxMetric, JDEDetMetric, SNIPERCOCOMetric, CULaneMetric
  from ppdet.data.source.sniper_coco import SniperCOCODataSet
  from ppdet.data.source.category import get_categories
  import ppdet.utils.stats
  from ppdet.utils.fuse_utils import fuse_conv_bn
  from ppdet.utils import profiler
  from ppdet.modeling.post_process import multiclass_nms
  from ppdet.modeling.lane_utils import imshow_lanes
  from .callbacks import Callback, ComposeCallback, LogPrinter, Checkpointer, WiferFaceEval, VisualDLWriter, SniperProposalsGenerator, WandbCallback, SemiCheckpointer, SemiLogPrinter
  from .export_utils import _dump_infer_config, _prune_input_spec, apply_to_static
  from paddle.distributed.fleet.utils.hybrid_parallel_util import fused_allreduce_gradients
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 22 for calling the Trainer obj's underlying member method code with example usage: obj.parse_mot_images(cfg) and returns: all_images