aXeleRate/configs/segmentation.json

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{
"model" : {
"type": "SegNet",
"architecture": "MobileNet7_5",
"input_size": 224,
"n_classes" : 20
},
"weights" : {
"full": "",
"backend": "imagenet"
},
"train" : {
"actual_epoch": 1,
"train_image_folder": "sample_datasets/segmentation/imgs",
"train_annot_folder": "sample_datasets/segmentation/anns",
"train_times": 4,
"valid_image_folder": "sample_datasets/segmentation/imgs_validation",
"valid_annot_folder": "sample_datasets/segmentation/anns_validation",
"valid_times": 4,
"valid_metric": "val_loss",
"batch_size": 8,
"learning_rate": 1e-4,
"saved_folder": "segment",
"first_trainable_layer": "",
"ignore_zero_class": false,
"augmentation": true
},
"converter" : {
"type": ["k210", "tflite"]
}
}