第十三个:Collect3D,这一步其实很简单,就是用于pipeline的最后一步,其根据我们初始化时候给它指定的meta_keys,为了我们具体的任务搞出来所需要的整顿好,把dict中我们已经存下的这么多东西进行自定义的收集,放入img_metas这个key中,其是一个包含了我们所收集的内容的DataContainer。 """Collect data from the loader...
create_meg_info首先解读数据集,整理成 python 的字典格式,其包括两个值:data_list和meta_info。然后再使用mmengine.dump保存成 pkl 文件,它的定义以及实现如下: # meg_converter.pyimportosfromosimportpathasospimportmmenginefrompyquaternionimportQuaternionimportjsonclass_names=["小汽车","汽车","货车","工程...
use_camera=False),test_mode=False,metainfo=dict(class_names=class_names),box_type_3d='LiDAR')...
METAINFO = { 'classes': ('Pedestrian', 'Cyclist', 'Car') } def parse_ann_info(self, info): """Process the `instances` in data info to `ann_info`. Args: info (dict): Data information of single data sample. Returns: dict: Annotation information consists of the following keys: - g...
OpenMMLab Detection Toolbox and Benchmark. Contribute to open-mmlab/mmdetection development by creating an account on GitHub.
create_meg_info首先解读数据集，整理成 python 的字典格式，其包括两个值：data_list和meta_info。然后...
def__init__(self,model,optimizer=None,work_dir=None,logger=None,meta=None,max_iters=None,max_epochs=None):………self.model=modelself.optimizer=optimizerself.logger=loggerself.meta=meta# create work_dirifisinstance(work_dir,str):self.work_dir=osp.abspath(work_dir)mmcv.mkdir_or_exist(self...
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The metainfo has been changed to lowercase since#9469. On the custom dataset, use lowercase letters for keys in the dictionary instead. For example, in the jupyter notebook demo, change cfg.metainfo={'CLASSES': ('balloon', ),'PALETTE': [ (220,20,60), ] } ...
使用mmdetection提供的工具脚本将数据集转换成mmdetection标准格式。具体命令如下：python tools/data_converter...