/datasets/builder: 实例化数据相关任务:sample、dataloader、dataset /datasets/dataset_wrappers.py: 重写concatDataset、RepeatDataset上面已经详细说明,增加数据类别平衡类(具体没看) /datasets/custom.py: @DATASETS.register_module()classCustomDataset(Dataset): CLASSES =None#种类名称,可以直接定义(常用直接类内定义)...
① 根据图片名划分训练集和验证集,文件名分别为train.txt和val.txt。 ②在mmdet/datasets目录下新建一个tile.py文件: # !- tile.py import os.path as osp import mmcv import numpy as np from PIL import Image from .builder import DATASETS from .custom import CustomDataset import misc_utils # 使用 ...
Images scales for resizing.multiscale_mode (str): Either "range" or "value".ratio_range (tuple[float]): (min_ratio, max_ratio)keep_ratio (bool): Whether to keep the aspect ratio when resizing theimage."""def__init__(self,img_scale=None,multiscale_mode='range',ratio_range=None,keep...
from .builder import DATASETS, PIPELINES from .coco import CocoDataset @DATASETS.register_module() class ConcatDataset(_ConcatDataset): """A wrapper of concatenated dataset. Same as :obj:`torch.utils.data.dataset.ConcatDataset`, but concat the group flag for image aspect ratio. Args: d...
datasets.caltech', 'torchvision.datasets.celeba', 'torchvision.datasets.widerface', 'torchvision.datasets.sbd', 'torchvision.datasets.usps', '_decimal', 'decimal', 'fractions', 'torchvision.io._video_opt', 'torchvision.io.video', 'torchvision.io.image', 'torchvision.io', 'torchvision.datasets...
create_input meta_data = _get_dataset_metainfo(self.model_cfg) File "C:\Users\user\anaconda3\envs\openmmlab\lib\site-packages\mmdeploy\codebase\mmpose\deploy\pose_detection.py", line 102, in _get_dataset_metainfo meta = dataset_mmpose._load_metainfo( File "d:\mmpose\mmpose\datasets\dat...
name = ModelData.OUTPUT_NAME network.mark_output(tensor=fc2.get_output(0)) '''main中第三步:构建engine''' def build_engine(weights): '''下面的create_network会返回一个tensorrt.tensorrt.INetworkDefinition对象 https://docs.nvidia.com/deeplearning/sdk/tensorrt-api/python_api/infer/Core/Builder....
这个参数会传入在mmdet/datasets/builder.py里 ifdist:# When model is :obj:`DistributedDataParallel`,# `batch_size` of :obj:`dataloader` is the# number of training samples on each GPU.batch_size = samples_per_gpu num_workers = workers_per_gpuelse:# When model is obj:`DataParallel`# the ...
/datasets/builder: 实例化数据相关任务:sample、dataloader、dataset /datasets/dataset_wrappers.py: 重写concatDataset、RepeatDataset上面已经详细说明,增加数据类别平衡类(具体没看) /datasets/custom.py: @DATASETS.register_module() class CustomDataset(Dataset): CLASSES = None #种类名称,可以直接定义(常用直接类...
from .builder import DATASETS from .coco import CocoDataset @DATASETS.register_module() class ConcatDataset(_ConcatDataset): """A wrapper of concatenated dataset. Same as :obj:`torch.utils.data.dataset.ConcatDataset`, but concat the group flag for image aspect ratio. Args: datasets (lis...