Image Data Importer For Deep Learning
A Python package which will help you to import image data for your deep learning project. The function inside the package is called "img_data_importer" which accepts only one parameter i.e path of main folder (main folder is the one inside which all different categories folders are present),and during the execution it will ask you to pick some options,choose them according to your data set, after generating the data the output will be returned in a tuple (X_train,y_train,mapping) in which X_train has categories image data, y_train has labels i.e index values and mapping(Dictionary/Hash-Map) has the categories and their particular index value, How to execute is shown below
Execution
X,y,m = img_data_importer(path of main folder), X holds the image data, y holds the labels and m holds the mapping of categories and their particular index value
typical options shown below
Do you want to convert your image data to grey scale? y/n: choose your option
Do you want to resize your data? y/n [default:100x100]: choose your option
Generating, Shuffling & Mapping the Data...
Do you want to normalize your data? y/n [recommended]: choose your option
Do you want to save your data? y/n [will be saved using pickle]: choose your option
1 maintainer
Metadata
1 maintainer
Release files for vinzy-imgdata-importer 1.0.2
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Total release size: 7.1 kB
Release files / vinzy-imgdata-importer-1.0.2.tar.gz
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Release files / vinzy_imgdata_importer-1.0.2-py3-none-any.whl
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