feat: Add convert script, convert trained weight to DetectApp

+{"format": "layers-model", "generatedBy": "keras v2.8.0", "convertedBy": "TensorFlow.js Converter v3.18.0", "modelTopology": {"keras_version": "2.8.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "sequential_1", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 24, 24, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "conv2d_3_input"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_3", "trainable": true, "batch_input_shape": [null, 24, 24, 1], "dtype": "float32", "filters": 32, "kernel_size": [3, 3], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_3", "trainable": true, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [1, 1], "data_format": "channels_last"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_4", "trainable": true, "dtype": "float32", "filters": 32, "kernel_size": [3, 3], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_4", "trainable": true, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [1, 1], "data_format": "channels_last"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_5", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [3, 3], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_5", "trainable": true, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [1, 1], "data_format": "channels_last"}}, {"class_name": "Dropout", "config": {"name": "dropout_2", "trainable": true, "dtype": "float32", "rate": 0.25, "noise_shape": null, "seed": null}}, {"class_name": "Flatten", "config": {"name": "flatten_1", "trainable": true, "dtype": "float32", "data_format": "channels_last"}}, {"class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 128, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dropout", "config": {"name": "dropout_3", "trainable": true, "dtype": "float32", "rate": 0.5, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "dtype": "float32", "units": 2, "activation": "softmax", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}]}}, "training_config": {"loss": "categorical_crossentropy", "metrics": [[{"class_name": "MeanMetricWrapper", "config": {"name": "accuracy", "dtype": "float32", "fn": "categorical_accuracy"}}]], "weighted_metrics": null, "loss_weights": null, "optimizer_config": {"class_name": "Adam", "config": {"name": "Adam", "learning_rate": 0.0010000000474974513, "decay": 0.0, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "epsilon": 1e-07, "amsgrad": false}}}}, "weightsManifest": [{"paths": ["group1-shard1of2.bin", "group1-shard2of2.bin"], "weights": [{"name": "conv2d_3/kernel", "shape": [3, 3, 1, 32], "dtype": "float32"}, {"name": "conv2d_3/bias", "shape": [32], "dtype": "float32"}, {"name": "conv2d_4/kernel", "shape": [3, 3, 32, 32], "dtype": "float32"}, {"name": "conv2d_4/bias", "shape": [32], "dtype": "float32"}, {"name": "conv2d_5/kernel", "shape": [3, 3, 32, 64], "dtype": "float32"}, {"name": "conv2d_5/bias", "shape": [64], "dtype": "float32"}, {"name": "dense_2/kernel", "shape": [14400, 128], "dtype": "float32"}, {"name": "dense_2/bias", "shape": [128], "dtype": "float32"}, {"name": "dense_3/kernel", "shape": [128, 2], "dtype": "float32"}, {"name": "dense_3/bias", "shape": [2], "dtype": "float32"}]}]}
\ No newline at end of file

@@ -400,6 +400,17 @@
    "source": [
     "model.save('../model/extended_weight.h5', overwrite=True)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflowjs as tfjs\n",
+    "\n",
+    "tfjs.converters.save_keras_model(model, '../../DetectApp/model')"
+   ]
   }
  ],
  "metadata": {