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Sumasen Trainer


Train and create a new Model

  1. Select New from left menu initial

  2. Enter image folder where images are saved in sub folder as their category

This will assign a outpu folder to arrage images, you can modify if required output folder

Eg: image_classifier/dataset/raw_data select image folder

  1. Select input shape This will be used to resize image into image shape

  2. Select Batch Size This is the number of image used to train as a batch batch size

  3. Click arrange images button This will rearrange the images seected above and arrange them as train, test and validation sets arranges images

  4. a) Enter a name for model, the model will be saved under previouly selected output folder b) also select number of epochs the training should run start training)

  5. training progrss training progress

  6. Training completed. The model will be saved in the output folder training complted

Predicting a new image

  1. Select "Existing model" from left pane

existing model

  1. Enter a folder to list all models available (if a training session is done previously the output folder will be there automatically)

  2. Click load model and select a model available select model

  3. On the right pan select images shape that used for this model and a new image to predict, predict

Description
Train to categorise documents
Readme 917 KiB
Languages
Python 100%