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model/model_ROI.json

+{"class_name": "Functional", "config": {"name": "googleNetKeras", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 224, 224, 3], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_3"}, "name": "input_3", "inbound_nodes": []}, {"class_name": "Conv2D", "config": {"name": "conv_1_7x7/2", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [7, 7], "strides": [2, 2], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 1}, "bias_initializer": {"class_name": "Constant", "config": {"value": 0.2}, "shared_object_id": 2}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "conv_1_7x7/2", "inbound_nodes": [[["input_3", 0, 0, {}]]]}, {"class_name": "MaxPooling2D", 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