class_docstr: 🤗 Constructor for the DETR Object Detection trainer
class_docstr_tok: ["\ud83e\udd17","Constructor","for","the","DETR","Object","Detection","trainer"]
code: def evaluate(self):
      print("Not implemented yet!")
      return False
  
imports: import os
  import math
  import random
  import argparse
  from pathlib import Path
  from datetime import datetime
  from collections import Counter
  import torch
  import torchmetrics
  from torch.utils.data import DataLoader
  from pytorch_lightning import Trainer
  from sklearn.metrics import precision_recall_fscore_support
  from hugsvision.models.Detr import Detr
  from hugsvision.dataio.CocoDetectionDataset import CocoDetection
  from hugsvision.dataio.ObjectDetectionCollator import ObjectDetectionCollator
  from hugsvision.inference.ObjectDetectionInference import ObjectDetectionInference
  from transformers import DetrFeatureExtractor
label_desc: Use image node_id 5 for calling the ObjectDetectionTrainer obj's underlying member method code with example usage: obj.evaluate() and returns: False