1、输入:原始数据和标签数据正常
2、Model Composer配置正常
问题:CNN训练报错如下
dataset = dataset_loader("training", dataset_dir=args.data_path, training_list=training_list, **vars(args)).prepare(**vars(args)) File "/opt/tinyml/code/tinyml-tinyverse/tinyml_tinyverse/common/datasets/timeseries_dataset.py", line 401, in prepare raise Exception("Aborting run as the dataset loaded is empty. Check either input options or data or compatibility between the two.") Exception: Aborting run as the dataset loaded is empty. Check either input options or data or compatibility between the two.
您好,我使用的是官方的demo板:TIDA-010955,核心板是TMDSCNCD28P55X,直接基于C2000Ware_DigitalPower_SDK_5_04_00_00\solutions\tida_010955例程跑的
我在您附加的数据文件的快照中看到 - 有 2 列,我宁愿期望只有一列数据。第二列是做什么用的?
官方的预处理数据的脚本是要求带标签的,不带标签数据无法预处理
% if no second column is present no arc label data is present if y<2 fprintf("%s does not contain labeled data\n",files(n).name); else ArcCurrent = A(:,1); ArcLabel = A(:,2)/10; % Plot current signal and label signal separately figure;