然后,我们使用cfg.data.train(这通常是一个包含训练数据集配置信息的字典)作为参数调用build_dataset函数,以构建训练数据集实例。 请注意,配置文件的格式和内容可能因MMDetection的版本和具体应用而有所不同。因此,在实际使用中,你需要根据你的配置文件的具体内容来调整代码。 通过上述步骤,你就可以在MMDetection框架中成功导入mmdet.datasets模块并调用build_...
/opt/conda/lib/python3.7/site-packages/mmengine/registry/build_functions.py in build_from_cfg(cfg, registry, default_args) 120 else: --> 121 obj = obj_cls(**args) # type: ignore 122 /kaggle/working/mmdetection/mmdet/datasets/base_det_dataset.py ininit(self, seg_map_suffix, proposal_...
To use an existing tarred dataset instead of a non-tarred dataset, setis_tarred:truein the experiment config file. Then, pass in the paths to all of the audio tarballs intarred_audio_filepaths, either as a list of filepaths, e.g.['/data/shard1.tar','/data/shard2.tar'], or in ...
比如:x.__getitem\__(y) == x[y], 在这里便是:dataset.__getitem__(1) = dataset[1],这时就会根据当前处于什么mode,然后对数据进行相应的处理。 def__getitem__(self,idx):ifself.test_mode:# 测试阶段returnself.prepare_test_img(idx)whileTrue:# 训练阶段data=self.prepare_train_img(idx)ifdata...
DataTaskDocReadCfg( image_process_fn=img_fn, text_process_fn=txt_fn, page_sampling='random', error_handler='dump_and_reraise', ) data_cfg = chug.DataCfg( source='pipe:curl -s -f -L https://huggingface.co/datasets/pixparse/idl-wds/resolve/main/idl-train-0{0000..2999}.tar', ...
train longercfg.MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE=(128)# faster, and good enough for this toy datasetcfg.MODEL.ROI_HEADS.NUM_CLASSES=3# 3 classes (data, fig, hazelnut)os.makedirs(cfg.OUTPUT_DIR,exist_ok=True)trainer=DefaultTrainer(cfg)trainer.resume_or_load(resume=False)trainer.train(...
model.data.data_prefix='{train:[1.0,/home/TestData/nlp/megatron_t5/data/pile_val_small_bert_tokenizer_text_document],test:[/home/TestData/nlp/megatron_t5/data/pile_val_small_bert_tokenizer_text_document], validation:[/home/TestData/nlp/megatron_t5/data/pile_val_small_bert_tokenizer_text_...
Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai - GitHub - Jyothis-P/Hub: Dataset format for AI. Build, manage, & visualize datasets fo
model else 0), 32) # 获取模型的最大步幅 return build_yolo_dataset(self.args, img_path, batch, self.data, mode=mode, rect=mode == "val", stride=gs) def get_dataloader(self, dataset_path, batch_size=16, rank=0, mode="train"): """构造并返回数据加载器。""" assert mode in ["...
setup.cfg README GPL-3.0 license tasknetis an interface between Huggingfacedatasetsand Huggingface transformersTrainer. Tasknet should work with all recent versions of Transformers. Installation and example pip install tasknet Each task template has fields that should be matched with specific dataset col...