Different ways to put your data into DataBunch

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homework for week 1

91:00-91:35

Different ways to put your data into DataBunch

91:35-95:10 Different ways to put your data into DataBunch How to use MNIST sample dataset?

• path = untar_data(URLs.MNIST_SAMPLE); path How to create DataBunch while labels on folder names?
• data = ImageDataBunch.from_folder(path, ds_tfms=tfms, size=26) How to check the images and labels? How to read from CSV?
• df = pd.read_csv(path/'labels.csv') How to create DataBunch while labels in CSV file?
• data = ImageDataBunch.from_csv(path, ds_tfms=tfms, size=28) How to create DataBunch while labels in dataframe?
• data = ImageDataBunch.from_df(path, df, ds_tfms=tfms, size=24) How to create DataBunch while labels in filename?
• data = ImageDataBunch.from_name_re(path, fn_paths, pat=pat, ds_tfms=tfms, size=24) How to create DataBunch while labels in filename using function?
• data = ImageDataBunch.from_name_func(path, fn_paths, ds_tfms=tfms, size=24, label_func = lambda x: '3' if '/3/' in str(x) else '7') How to create DataBunch while labels in a list?
• labels = [('3' if '/3/' in str(x) else '7') for x in fn_paths]
• data = ImageDataBunch.from_lists(path, fn_paths, labels=labels, ds_tfms=tfms, size=24) 目录 Lesson 1 知识点分解 #63