diff --git a/notebooks/wut-train.ipynb b/notebooks/wut-train.ipynb index 57916f9..c3269bb 100644 --- a/notebooks/wut-train.ipynb +++ b/notebooks/wut-train.ipynb @@ -89,7 +89,7 @@ "metadata": {}, "outputs": [], "source": [ - "ENCODING='FM'\n", + "ENCODING='FSK9k6'\n", "batch_size = 64\n", "epochs = 4\n", "# Failing with this now:\n", @@ -125,21 +125,18 @@ "metadata": {}, "outputs": [], "source": [ - "print('total training good images:', num_train_good)\n", - "print('total training bad images:', num_train_bad)\n", - "#print(\"--\")\n", - "print(\"Total training images:\", total_train)\n", - "print('total validation good images:', num_val_good)\n", - "print('total validation bad images:', num_val_bad)\n", - "print(\"--\")\n", - "print(\"Total validation images:\", total_val)\n", - "#print(\"Reduce training and validation set when testing\")\n", - "#total_train = 100\n", - "#total_val = 100\n", - "print(\"Train =\")\n", - "print(total_train)\n", - "print(\"Validation =\")\n", - "print(total_val)" + "print('Training good images: ', num_train_good)\n", + "print('Training bad images: ', num_train_bad)\n", + "print('Training images: ', total_train)\n", + "print('Validation good images: ', num_val_good)\n", + "print('Validation bad images: ', num_val_bad)\n", + "print('Validation images: ', total_val)\n", + "print('')\n", + "print('Reduce training and validation set')\n", + "total_train = 1000\n", + "total_val = 1000\n", + "print('Training reduced to: ', total_train)\n", + "print('Validation reduced to: ', total_val)" ] }, { @@ -323,7 +320,7 @@ "metadata": {}, "outputs": [], "source": [ - "model.summary()" + "#model.summary()" ] }, { @@ -444,7 +441,9 @@ "metadata": {}, "outputs": [], "source": [ - "model.save('/srv/satnogs/data/models/FM/wut-FM.h5')" + "h5_file=(\"wut-\" + ENCODING + \".h5\")\n", + "save_path_h5 = os.path.join('/srv/satnogs/data/models/', ENCODING, h5_file)\n", + "print(save_path_h5)" ] }, { @@ -453,7 +452,27 @@ "metadata": {}, "outputs": [], "source": [ - "model.save('/srv/satnogs/data/models/FM/wut-FM.tf')" + "model.save(save_path_h5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "tf_modeldir=(\"wut-\" + ENCODING + \".tf\")\n", + "save_path_tf = os.path.join('/srv/satnogs/data/models/', ENCODING, tf_modeldir)\n", + "print(save_path_tf)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model.save(save_path_tf)" ] }, {