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This Package will help you to import image data for your deep learning project

Project description

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

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vinzy-imgdata-importer-1.0.2.tar.gz (3.2 kB view hashes)

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