Sumasen Trainer
Train and create a new Model
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Select New from left menu
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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
Eg:
image_classifier/dataset/raw_data
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Select input shape This will be used to resize image into
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Select Batch Size This is the number of image used to train as a batch
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Click arrange images button This will rearrange the images seected above and arrange them as train, test and validation sets
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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
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training progrss
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Training completed. The model will be saved in the output folder
Predicting a new image
- Select "Existing model" from left pane
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Enter a folder to list all models available (if a training session is done previously the output folder will be there automatically)
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Click load model and select a model available
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On the right pan select images shape that used for this model and a new image to predict,
Automated categorizer
How it works
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When an image is placed in a defined monitoring folder the categoriser will use defined trained model to categorise it and will move the image to a category sub folder of the defined target folder
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defining model, monitoring folder and target folder:
- "params.dat" file have those vales