"
]
@@ -2691,53 +2694,53 @@
" ... | \n",
" \n",
" \n",
- " 50034 | \n",
- " {'0': POLYGON ((-28.196683384837495 -99.951510... | \n",
- " -60.0 | \n",
+ " 25037 | \n",
+ " {'0': POLYGON ((-70.1543216286469 -126.2833218... | \n",
+ " -62.0 | \n",
+ " 38.0 | \n",
+ " <NA> | \n",
+ " [[0.0, 0.0], [-7.838432819436369, -0.057524750... | \n",
+ " 18101.3419 | \n",
+ "
\n",
+ " \n",
+ " 25044 | \n",
+ " {'0': POLYGON ((-94.3612368741144 -96.08652939... | \n",
+ " 70.0 | \n",
+ " 54.0 | \n",
+ " <NA> | \n",
+ " [[0.0, 0.0], [-2.122974900266036, 8.5821312954... | \n",
+ " 18061.452073 | \n",
+ "
\n",
+ " \n",
+ " 25045 | \n",
+ " {'0': POLYGON ((-80.44890007800937 -70.4569634... | \n",
" -67.0 | \n",
+ " -27.0 | \n",
" <NA> | \n",
- " [[0.0, 0.0], [-4.393689188661578, -7.847642659... | \n",
- " 149.322187 | \n",
+ " [[0.0, 0.0], [-4.984525555905634, 5.2282410983... | \n",
+ " 309.600598 | \n",
"
\n",
" \n",
- " 50039 | \n",
- " {'0': POLYGON ((-80.21298069840438 -87.2502584... | \n",
- " 74.0 | \n",
- " 31.0 | \n",
+ " 25046 | \n",
+ " {'0': POLYGON ((-63.55966988255701 -93.6258511... | \n",
+ " -44.0 | \n",
+ " -65.0 | \n",
" <NA> | \n",
- " [[0.0, 0.0], [5.67318252835214, -5.67318252835... | \n",
- " 5162.824624 | \n",
+ " [[0.0, 0.0], [-4.3999999999999995, -6.50000000... | \n",
+ " 191.114502 | \n",
"
\n",
" \n",
- " 50043 | \n",
- " {'0': POLYGON ((-55.5210778390028 -66.95232495... | \n",
+ " 25047 | \n",
+ " {'0': POLYGON ((-63.7334990739641 -93.02063274... | \n",
+ " -34.0 | \n",
" 47.0 | \n",
- " 28.0 | \n",
" <NA> | \n",
- " [[0.0, 0.0], [3.868462226776941, 3.86846222677... | \n",
- " 284.832436 | \n",
- "
\n",
- " \n",
- " 50044 | \n",
- " {'0': POLYGON ((-73.9722160089151 -90.72439219... | \n",
- " -66.0 | \n",
- " 49.0 | \n",
- " <NA> | \n",
- " [[0.0, 0.0], [-66.0, 49.0]] | \n",
- " 199.213594 | \n",
- "
\n",
- " \n",
- " 50049 | \n",
- " {'0': POLYGON ((-73.30908588454162 -74.1477834... | \n",
- " -48.0 | \n",
- " 72.0 | \n",
- " <NA> | \n",
- " [[0.0, 0.0], [-8.34785332097252, 2.56320973960... | \n",
- " 34269.035908 | \n",
+ " [[0.0, 0.0], [-14.236853557702911, 5.258136784... | \n",
+ " 38963.48483 | \n",
"
\n",
" \n",
"\n",
- "22264 rows × 6 columns
\n",
+ "11883 rows × 6 columns
\n",
""
],
"text/plain": [
@@ -2749,11 +2752,11 @@
"8 {'0': POLYGON ((-38.740101054728726 -89.986420... 58.0 \n",
"12 {'0': POLYGON ((-78.64598261951151 -82.5905995... 55.0 \n",
"... ... ... \n",
- "50034 {'0': POLYGON ((-28.196683384837495 -99.951510... -60.0 \n",
- "50039 {'0': POLYGON ((-80.21298069840438 -87.2502584... 74.0 \n",
- "50043 {'0': POLYGON ((-55.5210778390028 -66.95232495... 47.0 \n",
- "50044 {'0': POLYGON ((-73.9722160089151 -90.72439219... -66.0 \n",
- "50049 {'0': POLYGON ((-73.30908588454162 -74.1477834... -48.0 \n",
+ "25037 {'0': POLYGON ((-70.1543216286469 -126.2833218... -62.0 \n",
+ "25044 {'0': POLYGON ((-94.3612368741144 -96.08652939... 70.0 \n",
+ "25045 {'0': POLYGON ((-80.44890007800937 -70.4569634... -67.0 \n",
+ "25046 {'0': POLYGON ((-63.55966988255701 -93.6258511... -44.0 \n",
+ "25047 {'0': POLYGON ((-63.7334990739641 -93.02063274... -34.0 \n",
"\n",
" destination_y image route \\\n",
"seed \n",
@@ -2763,11 +2766,11 @@
"8 61.0 [[0.0, 0.0], [-8.211437427025228, -1.293253961... \n",
"12 -72.0 [[0.0, 0.0], [7.15433954975134, 5.559264844101... \n",
"... ... ... ... \n",
- "50034 -67.0 [[0.0, 0.0], [-4.393689188661578, -7.847642659... \n",
- "50039 31.0 [[0.0, 0.0], [5.67318252835214, -5.67318252835... \n",
- "50043 28.0 [[0.0, 0.0], [3.868462226776941, 3.86846222677... \n",
- "50044 49.0 [[0.0, 0.0], [-66.0, 49.0]] \n",
- "50049 72.0 [[0.0, 0.0], [-8.34785332097252, 2.56320973960... \n",
+ "25037 38.0 [[0.0, 0.0], [-7.838432819436369, -0.057524750... \n",
+ "25044 54.0 [[0.0, 0.0], [-2.122974900266036, 8.5821312954... \n",
+ "25045 -27.0 [[0.0, 0.0], [-4.984525555905634, 5.2282410983... \n",
+ "25046 -65.0 [[0.0, 0.0], [-4.3999999999999995, -6.50000000... \n",
+ "25047 47.0 [[0.0, 0.0], [-14.236853557702911, 5.258136784... \n",
"\n",
" cost \n",
"seed \n",
@@ -2777,13 +2780,13 @@
"8 16899.906926 \n",
"12 177.415475 \n",
"... ... \n",
- "50034 149.322187 \n",
- "50039 5162.824624 \n",
- "50043 284.832436 \n",
- "50044 199.213594 \n",
- "50049 34269.035908 \n",
+ "25037 18101.3419 \n",
+ "25044 18061.452073 \n",
+ "25045 309.600598 \n",
+ "25046 191.114502 \n",
+ "25047 38963.48483 \n",
"\n",
- "[22264 rows x 6 columns]"
+ "[11883 rows x 6 columns]"
]
},
"execution_count": 35,
@@ -2895,12 +2898,12 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "5cdfe5668da349758504a15e2349ed88",
+ "model_id": "61be15a689ca481e8fa703626c66dbcb",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- " 0%| | 0/22264 [00:00, ?it/s]"
+ " 0%| | 0/11883 [00:00, ?it/s]"
]
},
"metadata": {},
@@ -2937,7 +2940,7 @@
{
"data": {
"text/plain": [
- "'1.1 GB'"
+ "'584.1 MB'"
]
},
"execution_count": 40,
@@ -3013,12 +3016,12 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "7d3fa654227d482bbaef785e83186194",
+ "model_id": "52a82f92a2c5402cbe484a4e44499ee4",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- " 0%| | 0/22264 [00:00, ?it/s]"
+ " 0%| | 0/11883 [00:00, ?it/s]"
]
},
"metadata": {},
@@ -3103,7 +3106,7 @@
" Args:\n",
" filters: The number of features that should be gernated.\n",
" size: The number of features / pixels should be reduced.\n",
- " apply_batchnorm: If True the Batchnor is applied. Batch norms are used by default.\n",
+ " apply_batchnorm: If True the Batchnorm is applied. Batch norms are used by default.\n",
" Returns:\n",
" A sequentail model contain the keras generated layers.\n",
" \"\"\"\n",
@@ -3152,7 +3155,7 @@
" Args:\n",
" filters: The number of features that should be used to upsample the layer.\n",
" size: The number of\n",
- " apply_batchnorm: If True the Batchnor is applied. Batch norms are used by default.\n",
+ " apply_dropout: If True a dropout layer ist used.\n",
" Returns:\n",
" A sequentail model contain the keras generated layers.\n",
" \"\"\"\n",
@@ -3198,12 +3201,13 @@
"metadata": {
"pycharm": {
"name": "#%%\n"
- }
+ },
+ "scrolled": false
},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
""
]
@@ -3245,7 +3249,7 @@
" down_stack = [\n",
" downsample(64, 4, apply_batchnorm=False), # (batch_size, 64, 64, 128)\n",
" downsample(128, 4), # (batch_size, 8, 8, 512)\n",
- " downsample(256, 4), # (batch_size, 4, 4, 512)\n",
+ " downsample(128, 4), # (batch_size, 4, 4, 512)\n",
" downsample(256, 4), # (batch_size, 2, 2, 512)\n",
" downsample(256, 4), # (batch_size, 1, 1, 512)\n",
" downsample(512, 4), # (batch_size, 1, 1, 512)\n",
@@ -3256,7 +3260,7 @@
" upsample(512, 4, apply_dropout=True), # (batch_size, 4, 4, 1024)\n",
" upsample(256, 4, apply_dropout=True), # (batch_size, 4, 4, 1024)\n",
" upsample(256, 4, apply_dropout=True), # (batch_size, 4, 4, 1024)\n",
- " upsample(256, 4), # (batch_size, 16, 16, 1024)\n",
+ " upsample(128, 4), # (batch_size, 16, 16, 1024)\n",
" upsample(128, 4), # (batch_size, 32, 32, 512)\n",
" upsample(64, 4), # (batch_size, 64, 64, 256)\n",
" ]\n",
@@ -3268,7 +3272,7 @@
" strides=2,\n",
" padding=\"same\",\n",
" kernel_initializer=initializer,\n",
- " activation=\"tanh\",\n",
+ " activation=\"sigmoid\", # was tanh\n",
" ) # (batch_size, 256, 256, 3)\n",
"\n",
" x = inputs\n",
@@ -3293,8 +3297,7 @@
"\n",
" return tf.keras.Model(inputs=inputs, outputs=reshaped)\n",
"\n",
- "generator = model_generator()\n",
- "tf.keras.utils.plot_model(generator, show_shapes=True, dpi=64)"
+ "tf.keras.utils.plot_model(model_generator(), show_shapes=True, dpi=64)"
]
},
{
@@ -3320,8 +3323,8 @@
"source": [
"early_stop = tf.keras.callbacks.EarlyStopping(\n",
" monitor=\"mean_squared_error\",\n",
- " min_delta=0.0005,\n",
- " patience=3,\n",
+ " min_delta=0.00001,\n",
+ " patience=5,\n",
" verbose=0,\n",
" mode=\"auto\",\n",
" restore_best_weights=True,\n",
@@ -3342,11 +3345,7 @@
{
"cell_type": "code",
"execution_count": 48,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
+ "metadata": {},
"outputs": [],
"source": [
"tf_board = tf.keras.callbacks.TensorBoard(\n",
@@ -3384,7 +3383,7 @@
"outputs": [],
"source": [
"reduce_learning_rate = tf.keras.callbacks.ReduceLROnPlateau(\n",
- " monitor=\"some metric\", factor=0.2, patience=1, min_lr=0.1, verbose=1\n",
+ " monitor=\"some metric\", factor=0.2, patience=3, min_lr=0.001, verbose=1\n",
")"
]
},
@@ -3400,7 +3399,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "260c408094b34719bba813e02fa04a52",
+ "model_id": "0e9e9175dfe14e5280b5c25ecf51d1a4",
"version_major": 2,
"version_minor": 0
},
@@ -3455,59 +3454,6 @@
"Das Dataset von tensorflow ist theoretisch noch zu viel mehr im stande. Zum beispiel könnte man es nutzen um alle Datensätze zwei mal pro Epoche aufzurufen und einmal zu Vertikal zu Spiegeln. Dies würde die Datenmänge verdoppeln ohne den RAM zusätzlich zu belasten. Dies sprängt hier aber leider etwas den Rahmen."
]
},
- {
- "cell_type": "code",
- "execution_count": 52,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "def create_train_test_split_datasets(routes: np.ndarray):\n",
- " \"\"\"Creates the three datasets train, validate and test frome the collected images.\n",
- "\n",
- " Args:\n",
- " routes: The collection of images as `np.ndarray`\n",
- " Returns:\n",
- " train, validate and test Dtatsets.\n",
- " \"\"\"\n",
- " limit_train = int(collected_routes.shape[0] * 0.6)\n",
- " limit_test = int(collected_routes.shape[0] * 0.8)\n",
- " train_dataset = tf.data.Dataset.from_tensor_slices(\n",
- " (\n",
- " collected_routes[:limit_train, :, :, :2],\n",
- " collected_routes[:limit_train, :, :, 2],\n",
- " )\n",
- " )\n",
- " validation_dataset = tf.data.Dataset.from_tensor_slices(\n",
- " (\n",
- " collected_routes[limit_train:limit_test, :, :, :2],\n",
- " collected_routes[limit_train:limit_test, :, :, 2],\n",
- " )\n",
- " )\n",
- " test_dataset = tf.data.Dataset.from_tensor_slices(\n",
- " (\n",
- " collected_routes[limit_test:, :, :, :2],\n",
- " collected_routes[limit_test:, :, :, 2],\n",
- " )\n",
- " )\n",
- " \n",
- " train_dataset = train_dataset.batch(BATCH_SIZE)\n",
- " validation_dataset = validation_dataset.batch(BATCH_SIZE)\n",
- " test_dataset = test_dataset.batch(BATCH_SIZE)\n",
- " \n",
- " return train_dataset, validation_dataset, test_dataset\n",
- "\n",
- "\n",
- "train_dataset, validation_dataset, test_dataset = create_train_test_split_datasets(\n",
- " collected_routes\n",
- ")\n",
- "\n",
- "# del collected_routes"
- ]
- },
{
"cell_type": "markdown",
"metadata": {
@@ -3521,18 +3467,54 @@
},
{
"cell_type": "code",
- "execution_count": 53,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
+ "execution_count": 52,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 1/100\n",
+ "298/298 [==============================] - 44s 126ms/step - loss: 0.0322 - binary_crossentropy: 0.0322 - mean_squared_error: 0.0064 - mean_absolute_error: 0.0205 - val_loss: 0.0217 - val_binary_crossentropy: 0.0217 - val_mean_squared_error: 0.0031 - val_mean_absolute_error: 0.0042\n",
+ "Epoch 2/100\n",
+ "298/298 [==============================] - 38s 126ms/step - loss: 0.0123 - binary_crossentropy: 0.0123 - mean_squared_error: 0.0029 - mean_absolute_error: 0.0057 - val_loss: 0.0186 - val_binary_crossentropy: 0.0186 - val_mean_squared_error: 0.0030 - val_mean_absolute_error: 0.0040\n",
+ "Epoch 3/100\n",
+ "298/298 [==============================] - 41s 137ms/step - loss: 0.0116 - binary_crossentropy: 0.0116 - mean_squared_error: 0.0028 - mean_absolute_error: 0.0056 - val_loss: 0.0125 - val_binary_crossentropy: 0.0125 - val_mean_squared_error: 0.0029 - val_mean_absolute_error: 0.0044\n",
+ "Epoch 4/100\n",
+ "298/298 [==============================] - 40s 135ms/step - loss: 0.0113 - binary_crossentropy: 0.0113 - mean_squared_error: 0.0028 - mean_absolute_error: 0.0055 - val_loss: 0.0228 - val_binary_crossentropy: 0.0228 - val_mean_squared_error: 0.0031 - val_mean_absolute_error: 0.0050\n",
+ "Epoch 5/100\n",
+ "298/298 [==============================] - 38s 129ms/step - loss: 0.0110 - binary_crossentropy: 0.0110 - mean_squared_error: 0.0027 - mean_absolute_error: 0.0055 - val_loss: 0.0131 - val_binary_crossentropy: 0.0131 - val_mean_squared_error: 0.0028 - val_mean_absolute_error: 0.0044\n",
+ "Epoch 6/100\n",
+ "298/298 [==============================] - 38s 126ms/step - loss: 0.0108 - binary_crossentropy: 0.0108 - mean_squared_error: 0.0027 - mean_absolute_error: 0.0054 - val_loss: 0.0132 - val_binary_crossentropy: 0.0132 - val_mean_squared_error: 0.0028 - val_mean_absolute_error: 0.0048\n",
+ "Epoch 7/100\n",
+ "298/298 [==============================] - 36s 122ms/step - loss: 0.0105 - binary_crossentropy: 0.0105 - mean_squared_error: 0.0027 - mean_absolute_error: 0.0054 - val_loss: 0.0167 - val_binary_crossentropy: 0.0167 - val_mean_squared_error: 0.0029 - val_mean_absolute_error: 0.0046\n",
+ "Epoch 8/100\n",
+ "298/298 [==============================] - ETA: 0s - loss: 0.0103 - binary_crossentropy: 0.0103 - mean_squared_error: 0.0027 - mean_absolute_error: 0.0053Restoring model weights from the end of the best epoch: 3.\n",
+ "298/298 [==============================] - 36s 120ms/step - loss: 0.0103 - binary_crossentropy: 0.0103 - mean_squared_error: 0.0027 - mean_absolute_error: 0.0053 - val_loss: 0.0144 - val_binary_crossentropy: 0.0144 - val_mean_squared_error: 0.0028 - val_mean_absolute_error: 0.0045\n",
+ "Epoch 8: early stopping\n"
+ ]
}
- },
- "outputs": [],
+ ],
"source": [
+ "if 'generator' in globals():\n",
+ " # myVar exists.\n",
+ " print(\"Generator exists. Deleting for reset\")\n",
+ " del generator\n",
+ "\n",
+ "generator = model_generator()\n",
+ "early_stop = tf.keras.callbacks.EarlyStopping(\n",
+ " monitor=\"val_loss\",\n",
+ " min_delta=0.00001,\n",
+ " patience=5,\n",
+ " verbose=2,\n",
+ " mode=\"auto\",\n",
+ " restore_best_weights=True,\n",
+ ")\n",
+ "\n",
"generator.compile(\n",
" optimizer=tf.keras.optimizers.RMSprop(),\n",
" # Loss function to minimize\n",
- " loss=\"mean_squared_error\",\n",
+ " loss=\"binary_crossentropy\",\n",
" # tf.keras.losses.SparseCategoricalCrossentropy(),\n",
" # List of metrics to monitor\n",
" metrics=[\n",
@@ -3540,12 +3522,23 @@
" \"mean_squared_error\",\n",
" \"mean_absolute_error\",\n",
" ], # root_mean_squared_error\n",
+ ")\n",
+ "\n",
+ "history = generator.fit(\n",
+ " collected_routes[:, :, :, :2],\n",
+ " collected_routes[:, :, :, 2],\n",
+ " validation_split=0.2,\n",
+ " epochs=100,\n",
+ " use_multiprocessing=False,\n",
+ " workers=1,\n",
+ " callbacks=[early_stop, tf_board, tf.keras.callbacks.TerminateOnNaN(),],\n",
+ " # tqdm_callback,\n",
")"
]
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 53,
"metadata": {
"pycharm": {
"name": "#%%\n"
@@ -3553,125 +3546,504 @@
},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Epoch 1/20\n",
- "27/27 [==============================] - 954s 35s/step - loss: 0.0189 - binary_crossentropy: 0.0650 - mean_squared_error: 0.0189 - mean_absolute_error: 0.0591\n",
- "Epoch 2/20\n",
- " 8/27 [=======>......................] - ETA: 10:49 - loss: 0.0049 - binary_crossentropy: 0.0391 - mean_squared_error: 0.0049 - mean_absolute_error: 0.0226"
- ]
- },
- {
- "ename": "KeyboardInterrupt",
- "evalue": "",
- "output_type": "error",
- "traceback": [
- "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
- "Input \u001b[1;32mIn [54]\u001b[0m, in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m history \u001b[38;5;241m=\u001b[39m \u001b[43mgenerator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrain_dataset\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mepochs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m20\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43muse_multiprocessing\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mworkers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43mcallbacks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43mearly_stop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtf_board\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;66;43;03m# tqdm_callback,\u001b[39;49;00m\n\u001b[0;32m 8\u001b[0m \u001b[43m)\u001b[49m\n",
- "File \u001b[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\ml-programmiereprojekt-jv1ICgFn-py3.10\\lib\\site-packages\\keras\\utils\\traceback_utils.py:64\u001b[0m, in \u001b[0;36mfilter_traceback..error_handler\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 62\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 63\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 64\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m fn(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 65\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e: \u001b[38;5;66;03m# pylint: disable=broad-except\u001b[39;00m\n\u001b[0;32m 66\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m _process_traceback_frames(e\u001b[38;5;241m.\u001b[39m__traceback__)\n",
- "File \u001b[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\ml-programmiereprojekt-jv1ICgFn-py3.10\\lib\\site-packages\\keras\\engine\\training.py:1409\u001b[0m, in \u001b[0;36mModel.fit\u001b[1;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing)\u001b[0m\n\u001b[0;32m 1402\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m tf\u001b[38;5;241m.\u001b[39mprofiler\u001b[38;5;241m.\u001b[39mexperimental\u001b[38;5;241m.\u001b[39mTrace(\n\u001b[0;32m 1403\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtrain\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m 1404\u001b[0m epoch_num\u001b[38;5;241m=\u001b[39mepoch,\n\u001b[0;32m 1405\u001b[0m step_num\u001b[38;5;241m=\u001b[39mstep,\n\u001b[0;32m 1406\u001b[0m batch_size\u001b[38;5;241m=\u001b[39mbatch_size,\n\u001b[0;32m 1407\u001b[0m _r\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m):\n\u001b[0;32m 1408\u001b[0m callbacks\u001b[38;5;241m.\u001b[39mon_train_batch_begin(step)\n\u001b[1;32m-> 1409\u001b[0m tmp_logs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43miterator\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1410\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m data_handler\u001b[38;5;241m.\u001b[39mshould_sync:\n\u001b[0;32m 1411\u001b[0m context\u001b[38;5;241m.\u001b[39masync_wait()\n",
- "File \u001b[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\ml-programmiereprojekt-jv1ICgFn-py3.10\\lib\\site-packages\\tensorflow\\python\\util\\traceback_utils.py:150\u001b[0m, in \u001b[0;36mfilter_traceback..error_handler\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 148\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 149\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 150\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m fn(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 151\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m 152\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m _process_traceback_frames(e\u001b[38;5;241m.\u001b[39m__traceback__)\n",
- "File \u001b[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\ml-programmiereprojekt-jv1ICgFn-py3.10\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py:915\u001b[0m, in \u001b[0;36mFunction.__call__\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 912\u001b[0m compiler \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mxla\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_jit_compile \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnonXla\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 914\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m OptionalXlaContext(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_jit_compile):\n\u001b[1;32m--> 915\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n\u001b[0;32m 917\u001b[0m new_tracing_count \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexperimental_get_tracing_count()\n\u001b[0;32m 918\u001b[0m without_tracing \u001b[38;5;241m=\u001b[39m (tracing_count \u001b[38;5;241m==\u001b[39m new_tracing_count)\n",
- "File \u001b[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\ml-programmiereprojekt-jv1ICgFn-py3.10\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py:947\u001b[0m, in \u001b[0;36mFunction._call\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 944\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock\u001b[38;5;241m.\u001b[39mrelease()\n\u001b[0;32m 945\u001b[0m \u001b[38;5;66;03m# In this case we have created variables on the first call, so we run the\u001b[39;00m\n\u001b[0;32m 946\u001b[0m \u001b[38;5;66;03m# defunned version which is guaranteed to never create variables.\u001b[39;00m\n\u001b[1;32m--> 947\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_stateless_fn(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds) \u001b[38;5;66;03m# pylint: disable=not-callable\u001b[39;00m\n\u001b[0;32m 948\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_stateful_fn \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 949\u001b[0m \u001b[38;5;66;03m# Release the lock early so that multiple threads can perform the call\u001b[39;00m\n\u001b[0;32m 950\u001b[0m \u001b[38;5;66;03m# in parallel.\u001b[39;00m\n\u001b[0;32m 951\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock\u001b[38;5;241m.\u001b[39mrelease()\n",
- "File \u001b[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\ml-programmiereprojekt-jv1ICgFn-py3.10\\lib\\site-packages\\tensorflow\\python\\eager\\function.py:2453\u001b[0m, in \u001b[0;36mFunction.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 2450\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock:\n\u001b[0;32m 2451\u001b[0m (graph_function,\n\u001b[0;32m 2452\u001b[0m filtered_flat_args) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_maybe_define_function(args, kwargs)\n\u001b[1;32m-> 2453\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mgraph_function\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_flat\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2454\u001b[0m \u001b[43m \u001b[49m\u001b[43mfiltered_flat_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcaptured_inputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgraph_function\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcaptured_inputs\u001b[49m\u001b[43m)\u001b[49m\n",
- "File \u001b[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\ml-programmiereprojekt-jv1ICgFn-py3.10\\lib\\site-packages\\tensorflow\\python\\eager\\function.py:1860\u001b[0m, in \u001b[0;36mConcreteFunction._call_flat\u001b[1;34m(self, args, captured_inputs, cancellation_manager)\u001b[0m\n\u001b[0;32m 1856\u001b[0m possible_gradient_type \u001b[38;5;241m=\u001b[39m gradients_util\u001b[38;5;241m.\u001b[39mPossibleTapeGradientTypes(args)\n\u001b[0;32m 1857\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (possible_gradient_type \u001b[38;5;241m==\u001b[39m gradients_util\u001b[38;5;241m.\u001b[39mPOSSIBLE_GRADIENT_TYPES_NONE\n\u001b[0;32m 1858\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m executing_eagerly):\n\u001b[0;32m 1859\u001b[0m \u001b[38;5;66;03m# No tape is watching; skip to running the function.\u001b[39;00m\n\u001b[1;32m-> 1860\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_build_call_outputs(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_inference_function\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcall\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 1861\u001b[0m \u001b[43m \u001b[49m\u001b[43mctx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcancellation_manager\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcancellation_manager\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[0;32m 1862\u001b[0m forward_backward \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_select_forward_and_backward_functions(\n\u001b[0;32m 1863\u001b[0m args,\n\u001b[0;32m 1864\u001b[0m possible_gradient_type,\n\u001b[0;32m 1865\u001b[0m executing_eagerly)\n\u001b[0;32m 1866\u001b[0m forward_function, args_with_tangents \u001b[38;5;241m=\u001b[39m forward_backward\u001b[38;5;241m.\u001b[39mforward()\n",
- "File \u001b[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\ml-programmiereprojekt-jv1ICgFn-py3.10\\lib\\site-packages\\tensorflow\\python\\eager\\function.py:497\u001b[0m, in \u001b[0;36m_EagerDefinedFunction.call\u001b[1;34m(self, ctx, args, cancellation_manager)\u001b[0m\n\u001b[0;32m 495\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m _InterpolateFunctionError(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m 496\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cancellation_manager \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m--> 497\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[43mexecute\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 498\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msignature\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 499\u001b[0m \u001b[43m \u001b[49m\u001b[43mnum_outputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_num_outputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 500\u001b[0m \u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 501\u001b[0m \u001b[43m \u001b[49m\u001b[43mattrs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mattrs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 502\u001b[0m \u001b[43m \u001b[49m\u001b[43mctx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mctx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 503\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 504\u001b[0m outputs \u001b[38;5;241m=\u001b[39m execute\u001b[38;5;241m.\u001b[39mexecute_with_cancellation(\n\u001b[0;32m 505\u001b[0m \u001b[38;5;28mstr\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msignature\u001b[38;5;241m.\u001b[39mname),\n\u001b[0;32m 506\u001b[0m num_outputs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_num_outputs,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 509\u001b[0m ctx\u001b[38;5;241m=\u001b[39mctx,\n\u001b[0;32m 510\u001b[0m cancellation_manager\u001b[38;5;241m=\u001b[39mcancellation_manager)\n",
- "File \u001b[1;32m~\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\ml-programmiereprojekt-jv1ICgFn-py3.10\\lib\\site-packages\\tensorflow\\python\\eager\\execute.py:54\u001b[0m, in \u001b[0;36mquick_execute\u001b[1;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001b[0m\n\u001b[0;32m 52\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 53\u001b[0m ctx\u001b[38;5;241m.\u001b[39mensure_initialized()\n\u001b[1;32m---> 54\u001b[0m tensors \u001b[38;5;241m=\u001b[39m \u001b[43mpywrap_tfe\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mTFE_Py_Execute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mctx\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_handle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdevice_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 55\u001b[0m \u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mattrs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_outputs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 56\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m core\u001b[38;5;241m.\u001b[39m_NotOkStatusException \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
- "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
- ]
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
}
],
"source": [
- "history = generator.fit(\n",
- " train_dataset,\n",
- " epochs=20,\n",
- " use_multiprocessing=True,\n",
- " workers=5,\n",
- " callbacks=[early_stop, tf_board],\n",
- " # tqdm_callback,\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "plt.plot(history.history[\"loss\", \"val_loss\"])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "predicted = generator.predict(\n",
- " collected_routes[:100, :, :, :2],\n",
- " batch_size=None,\n",
- " verbose=\"auto\",\n",
- " steps=None,\n",
- " callbacks=None,\n",
- " max_queue_size=10,\n",
- " workers=3,\n",
- " use_multiprocessing=True,\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "predicted.shape"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
- "outputs": [],
- "source": [
- "plt.imshow(predicted[1, :, :, 0], interpolation=\"nearest\")\n",
+ "plt.plot(history.history[\"loss\"])\n",
+ "plt.plot(history.history[\"val_loss\"])\n",
+ "plt.title('model loss')\n",
+ "plt.ylabel('loss')\n",
+ "plt.xlabel('epoch')\n",
+ "plt.legend(['loss', 'val_loss'], loc='best')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "pycharm": {
- "name": "#%%\n"
- }
- },
+ "metadata": {},
"outputs": [],
"source": [
- "for pos in range(5):\n",
- " plt.imshow(\n",
- " predicted[pos, :, :, 0] * 0xFF + collected_routes[pos, :, :, 0] * 20,\n",
- " interpolation=\"nearest\",\n",
- " )\n",
- " plt.show()"
+ "%load_ext tensorboard"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%tensorboard --logdir log_dir"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 75,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def plot_predicted_data(model, data, tt: Literal[\"Test\", \"Train\"], pos=0):\n",
+ " plt.figure(figsize=(20, 25))\n",
+ " if tt == \"Train\":\n",
+ " pos = abs(pos)\n",
+ " else:\n",
+ " pos = -abs(pos) - 1\n",
+ " data = data[pos, :, :, :]\n",
+ " predicted = generator.predict(\n",
+ " np.expand_dims(\n",
+ " data[:, : , :2], 0),\n",
+ " verbose=\"0\",\n",
+ " steps=None,\n",
+ " callbacks=None,\n",
+ " max_queue_size=10,\n",
+ " workers=1,\n",
+ " use_multiprocessing=False,\n",
+ " )[0]\n",
+ " plt.subplot(1, 4, 1)\n",
+ " plt.imshow(data[:, :, 0] * 2 + data[:, :, 2], interpolation=\"nearest\")\n",
+ " plt.subplot(1, 4, 2)\n",
+ " plt.imshow(data[:, :, 0] * 2 + predicted[:, :], interpolation=\"nearest\")\n",
+ " plt.subplot(1, 4, 3)\n",
+ " plt.title(f\"Predicted head map for {tt} Nr: {abs(pos)}\")\n",
+ " plt.imshow(predicted[ :, :], interpolation=\"nearest\")\n",
+ " plt.show()\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 80,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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PmtnLJN0m6QVjjbDmZjl9qLMm/Vxq8F6pRSWY9fShrpr0c6nJe6UeARjIyDth7v4FSdbl5jNGfV4AGAa1CEAqqEcABlXK7IgAlsWeq9QSplTHBWAyYs9VaglTquMCgCqNPTsiAAAAAGBwJGHAhKSWPKUyDgDVSi15SmUcADBN7IRNybT+IE5tx6DO2MaYBdP6gzi1HYM6YxsDQHo4HREAAAAAKkQSBuSMk16RMgIoyzjpFSkjAKSPJAwAAAAAKkQS1hAxpSleJrUpR3H7AugspjTFy6Q25ShuXwBAmkjCAAAAAKBCJGGAhk8EOyVfpIoAxjVsItgp+SJVBID0kYQBAAAAQIVIwio2rbQkvm6ZvWHF55rFJGjUMXfbnsCsmFZaEl+3zN6w4nPNYhI06pi7bU8AQNpIwgAAAACgQiRhDVNMfkZJcuqQgJWlye8dGEcx+RklyalDAlaWJr93AJhFJGEAAAAAUCGSsIoNkzxNImUp9oAVe5t6vWbdErBZHz8wjmGSp0mkLMUesGJvU6/XrFsCNuvjBwAMjyQMAAAAACpEEtYQ/RK4YRKwWUcCBkxPvwRumARs1pGAAUBzkYQBAAAAQIVIwmpu3BSrbikYgOkYN8WqWwoGAGg2kjAAAAAAqBBJWE31S7AGmQ0x3j7ofQGgqF+CNchsiPH2Qe8LAEDq2AmroUFOIRxmh4qdLwCjGOQUwmF2qNj5AgDUBacjAgAAAECFSMJqhEk0BsPplcBkMYnGYDi9EgCaiyQMAAAAACpEElYjJDuDidtp0skhPw80FcnOYOJ2mnRyyM8DANJDEgYAAAAAFSIJAyakyh49UjcA3VTZo0fqBgCDGTsJM7N5M/uamW0Pl481s2vNbLeZfcTM1o4/TADojVoEIAXUIgCDKON0xFdJuil3+Y8kvd3dj5P0fUkvK+E1gNLVKT3accd1zI5JLcKMqlN6tH3vLmbHpBYBGMBYO2FmtkXSsyS9L1w2SU+XdFm4y8WSzhnnNQCgH2oRgBRQiwAMatwk7B2SXiOpFS4/UtL97r4YLu+RtHnM12gs0o3JO3PTSbVKxBrsHaIWTQzpxuRt23xKrRKxBnuHqEUABjDyTpiZbZN0j7uP9D+zmZ1vZjvNbOe99y2NOgwADUctApCCMmvRQe0veXQAUjPO7IhPlfQcMztb0npJh0l6p6TDzWwhHPXZImlvpwe7+4WSLpSkU09c72OMo/ZiGkZig34a+lkprRadcuI6alEPMQ0jsUE/Df2slFaLDrON1CKg5kZOwtz99e6+xd2PkXSupL9z91+R9DlJzw93O0/SJ8ceJQB0QS0CkAJqEYBhTGKdsNdKutTM3izpa5LeP4HXaKRif1jD0o6JituyLj14DU3EiqhFE1LsD2tY2jFRcVvWpQevoYlYEbUIwCql7IS5++clfT78+9uSTivjeQFgGNQiACmgFgHoZxJJGCpC2lG+uiViVYnba/6o6Y4D00HaUb66JWJVidtr/aYpDwQA+ihjsWYAAAAAwIBIwoAa23HHdaUmpSSEAEaxfe+uUpNSEkIAs44kDOigzos4j7MIeJ23C5CiOi/iPM4i4HXeLgCagZ0wAAAAAKiQuU9/PcBTT1zvX96xddrDmHkkFJPTpNPwhvkcFbfL/FG7d7n7qeWOqDqnnLjOv3jl5mkPY+aRUExOk07DG+ZzVNwu6zfdOtO16DDb6E+2M6Y9DABj+qxf1rUWkYQBAAAAQIWYmAPACsMsfbD6PrvLHg6Ahhpm6YPV97l1AiMCgPKQhAEAAABAhdgJq5FxZr1Db02cFZDPE0Y1zqx36K2JswLyeQJQR+yEAQAAAECF2AmrIdKLyWliIgaMivRicpqYiAFAnbATBgAAAAAVYnbEmhpmhjugEz47KMMwM9wBnfDZAVBHJGEAAAAAUCF2wmqOGe4mg94wYDjMcDcZ9IYBwGxiJwwAAAAAKkRPWEPQIzYZcXvWKW3kM4JJokdsMuL2rFPayGcEQJ2RhAEAAABAhUjCGoZEbDLO3HRSsmnYoD/rVMePeiIRm4xtm09JNg0b9Ged6vgBoEwkYQAAAABQIZKwhiIRQxGfBUwDiRiK+CwAaAKSsIZjCvvypDhtfWrjAbphCvvypDhtfWrjAYBpYycMAAAAACrE6YhAyVKYtp4EDEAK09aTgAFAZyRhAAAAAFAhdsIAAAAAoELshAEAAABAhegJAyZkGr1h9IIBKJpGbxi9YADQ21hJmJkdbmaXmdk3zOwmM3uKmW00s6vM7Jbw/YiyBgsAnVCLAKSCegRgEOOejvhOSVe6+09LOlHSTZJeJ+lqdz9e0tXhMhKV4tpWdVPFNubnSC2adSmubVU3VWxjfo6SqEcABjDyTpiZPULSv5f0fkly9wPufr+k50q6ONztYknnjDdEAOiOWgQgFdQjAIMapyfsWEn3SvqgmZ0oaZekV0k60t3vDPe5S9KR4w0RQDcNT78iahEwZaRfbdQjAAMZ53TEBUlPlPRudz9Z0gMqxOvu7pK804PN7Hwz22lmO++9b2mMYQBoOGoRgFSMXI/yteig9lcyWADTM85O2B5Je9z92nD5MmWF524zO0qSwvd7Oj3Y3S9091Pd/dRHP3J+jGEAs4G+rYmhFgFDoG9rokauR/latEbrKhswEmGWfaExRt4Jc/e7JN1uZo8LV50h6UZJV0g6L1x3nqRPjjVCAOiBWgQgFdQjAIMad52w/ybpEjNbK+nbkl6qbMfuo2b2Mkm3SXrBmK8B1EoZ64eRqK1CLQKGVMb6YSRqHVGPMLh+6Ve83TueUY8ZNtZOmLtfJ+nUDjedMc7zAsAwqEUAUkE9AjCIcZMwABUiAQPGFI8qWzgbv8VkLKMgAQPGYwvhT/BQi/zggT4PKCRmJGMzj50wVGL320+XJB13wTVTHkk6hjktkZ0vYHy2sKDdf5QFFD/1ampRNMxpiex8AeOb27BBn979RUnSmZtPHu1JOE1x5o0zOyIAAAAAYEgkYahETMBIxFYrY6IOAD3MZUsP2Lp1Ov5/XC9J2v+MLNFZv3O3JGnphz/O7uut8H2CR5cTPYJdxkQdADoIv/O2sCb7/vBDdfaJvyhJuv2Nx0uSjv3QHknS0t67JEm+FE6VjjWpz3Nn9+1TU4qnNMbTsnu9RmJ1qk5IwgAAAACgQiRhDTWtHiMSseHQC4a6q6THKBzlbT34YPvI7/ov3yJJWvy3PylJmr/+W9l9HngwPKhwZHgSR4OHOYI9ZfSCASNYNZlGVleW7r1Ptib7E/zYi78jSdp7zmMkSZsvX8zu8937soccXOz4HD1fb9h6YrlMpvj8TAgyMSRhAAAAAFAhkjCgYsXer5h25XvDSMCAybC57KiuL2ZHlxduvC274chHSZLm7rwnu/3Awex77MsoJmN5gx4ZLk6Pnz/i3G3B1gkedS72fsW0K98bRgIGlMdby7/PFn7nfd8+SdLm7XslSft+5ihJ0vp/yWqUP5jd7g/tz773WlUj1pS+C0BnNcjm51c8zlu+fF3xqWMtTLSndRaRhAEAAABAhUjCMBUp9IZVlTh1m/Ww22uTggEl6XA0uH0kOvRZxKO7FpKx2KcRkzLzcLS609HnbkeCux0pbl9eOQPj9r27tG3LqeGxxWOj5c3W2G3Ww25pFykYMKb4extnaJ2z3E3htn0PZd9DzXnYTVkKr/Xrsu/7swRM8ysT9Hyq1rVPrNvsh/E5lrTqdm8VUrL2c/nK+5KIjY0kDAAAAAAqRBKGSsXkKxo2ARsmvRpk3a14nzLTp36vS9IFVCyXLrWPRLeP/IajvSER81Z2vS2ERKx9tDmu2ZNLr7olRYUjw4Osu7V9z05J6pGI9dHhqHS/1yXpAioWf6/nrN0T1v6dDbXGY/K1GNKz9euz65dCzQqJ2Yo1Dbv2lPaZ5bVTxB+ui/fs1iPW1mvtMVKynkjCAAAAAKBCJGGYuHz6NWrvVz5dGiThGuf5pdHSqkmMa9QxkLYBWt2D1SNdas/81VrZ99BOwnIJWDRIwjWsmIhFfdOqERKwKsQxkLYByqVWMTXqkS6FpMtDr1isTbGHrF2r8inTJBKnVnzdHjPD5hX7z0jB+iIJAwAAAIAKkYRhYoaZ+TCFFClv0EQptXFHJGKAeq+VE/oc2mv1hKO2V972ZUnSUjia29J0j+a2E6XYK9bnfqkhEUOjFdcG7HSX0H+qMDNruzcsJmIHDmTXTytZKrxue7zFu7VIvoZFEgYAAAAAFSIJQ2nGmfkwJjapJktR6uMrbseq1kIDZl1MxM7ckiU222//8jSH0104ov6p278iafpJXTcx+YpJWM/ZJIEmizO2xtSsGI8k1lsVE6/2mophzcXYQ4bBkYQBAAAAQIVIwhqmzFRk3DW/ZkGZvVXTSqToD0OKKk1FQnpkc7b873jUubAGjs0POBNYxYrriI2TgE0rkaI/DI1R6Edtr0+Y70WNtSf2ixX6VG3tWkkJ9IQVxdkP27M0plkzZwE7YRjaMBNuDCvV0xKLOzKpja8bdryAzuJEHPFPpXhqTRR3dopTxk9be2escLpf6tjxQpO1T+GLx3zm5vI3ZrfFHbd12c6XxRq1b192t7hI87T5yolDek6AhJ44HREAAAAAKkQShqHFBGySiRjGQwIGdJCbJtqKixy3j1TPr/g+F7KyVCfASB0JGJA7HbF9hbVrTKxLvhQSsfg9nI7YPi2x0yLNKUhtPDOEJAwAAAAAKkQShpFNMhFLtfdqVnvDACjrvYhHnWO/RSs76ryqvyEcpT5765MkpTdlfXGSi1npDQMaIaZDcTH4mLRbuH5paXlijjixRZji3R96KLvvmjXZ97A4si1kl/3ggYkOHdUhCQMAAACACpGENcQ4PULTnOI8tcRplG1AfxawbJweoaGnOG/3KsQplJeno7fijF4hEWtPEx37McL9tm09LRtDIonYKNuR/iygYsUa5LHuzC2n8Tbf8TEeapIdsiF7RKhNrR+Huy0eLLzGlBRr6bTHM0NIwgAAAACgQiRhNVdmClNMo+JzN3m2xNSSOiBVZaYwxf6nQZ/bWy6bCz1gYaIxmw/HIuc6H5OMiVi8NZnZEgtHn+kNA9IXe8PkLguzHcZKEnu/NF+oRaE2tROxcHXrRz/KHj+t9cPiotIhoVt+b0vTGc8MGisJM7MLzOzrZnaDmX3YzNab2bFmdq2Z7Tazj5jZ2rIGCwCdUIsApIJ6BGAQIydhZrZZ0islPd7d95nZRyWdK+lsSW9390vN7D2SXibp3aWMFgMpuwepW9qzOhnLvtdxtkT6utJFLUpX2T1I3dKevslYe6ay1c9ZnCWxPWNZnDVxbmVS9qyjs96wv7nt2qHHX4b2e4vvhf6LpFCP0FGxN6zlyy2qsfb4yr6xdt9qXB+sPXNrSMby64dNsQ4sJ2Ct3nfEKuP2hC1IepiZLUjaIOlOSU+XdFm4/WJJ54z5GgDQD7UIQCqoRwD6GjkJc/e9ZvY2Sd+RtE/SZyTtknS/u8cTVPdI2jz2KDGQqtOabq9X7BHLX1dXZ246ib6wKaEWpafqWfgGny2xJW+Fo8hz8Yh0WDcsHJK0eEQ5Hp1eKvQ3hKRsTjb9vrAOtm0+hb6wKaIeYSDeyhIs5XqqlsJsiCFZ8rmYynfusbK12bphemh/Gn1YpPJDGzkJM7MjJD1X0rGSNkk6RNJZQzz+fDPbaWY7770vgQ8PgJlELQKQinHqUb4WHdT+CY4SQArGmR3xGZJudfd7JcnMLpf0VEmHm9lCOOKzRdLeTg929wslXShJp564nt3nMaSSgBXl06+y+sSqTpzG2bb0kVWmtFp0yonrqEVjSDYBywt9C10TMYWj06H/Ynktn5V9GmdvfVKla4Z17XMb5bGYpJHrUb4WHWYbqUU15i2XhVoTe6rabZ5xrcL9YUc89ql6oW/VQg1bsyA/EPvJKvjYrFoXjF6wUY3TE/YdSaeb2QbL/lc6Q9KNkj4n6fnhPudJ+uR4QwSAnqhFAFJBPQIwkHF6wq41s8skfVXSoqSvKTuC87eSLjWzN4fr3l/GQLFaqglYJ2WuJTbtmRK7SXVcdUctmr6ZSMCk7ChxPIrbNxELR6eL64i118ZpaduWUyVJ2/fsHG08E8KaYdNDPUJPuVkSY+1RSMQ0F2pLvGtMxGJf6prwJ3voFbM12ePnlpbUin1kBw9MauSYgLEWa3b3N0l6U+Hqb0s6bZznBYBhUIsApIJ6BGAQY+2EYTpmudeo08yJ+etTMcvbGKjKTPYatdcM65KIxbV75gp9D/H+c/F+c5LPa9JmchsD6M1d7TXDQm9XnIm13SPWXhesUGfmCtevWZAdCAn+YqxrFfSGMRvi2NgJmwF13CEo7nSNcppiqqf/1fHnBUg12yHosjMWF0qNpyVqvscfNeGPp9RPSwSQsG6nRsedsnjgJ96/VahFLV81WUcSU9ajr3EXawYAAAAADIEkLGFNSlTKnLhjHE3a5sCgmpSotE8F6nem4fz88pFpX17AWVIpizg3aZsDjVRM4+PVMemKizfPx0mDwvULMa0Pt69b237sXEjPWvtLnLLeCmcDcBpiaUjCAAAAAKBCJGEJanIaM8rEHan2hgGzrhFpTJ/eMPeVizSvEKetD/0YZ299kiRVuogzgBmXm7ZeUq6va2VvWLxshUmCfHFRWsj+nLf167LvIUUrZcr6OB5VuCB0Q5CEAQAAAECFSMIS0uQErKiM2ROH0eRtP0qC2OTt1QSNSMCKConY8jTRPfog2gs3hway4qxlI2jktg9GWVy6ydsLNVNIxNqLOcfrDy5m39fEXrGwaLOZtBBSMV+ZiPniwcJzD6FT+p+/nkRsbCRhAAAAAFAhkrBEkCz0lu8V65aG0Rs2mlG2W7wvn9v6IVkoiGv4hL4M63EU2OZLXDesgUeb42dvmEQs3pfPLWqrVUjj9+/PLsZFmzsk8LZ2TfY9pGW+uDj+OIq1qIE1qmwkYQAAAABQIZKwKSFBGM1xF1zTd+bEYZIdfg7LituCRLEZSBAKuvRlxN6weETZzJZnR4zC5Xj0eZhErP1z6NaH0SDFz+QovWLAzCvO1BpnSYy9qCERizMjSmrP1BrTMVu7NjxVqGutpf6vW+x1jcPxPj1iq8ZPQtYPSRgAAAAAVIgkrGIkL+OreubEphokUaQ3bHaRgA0pHpUOyZjPSe3jv4UjxsWj0QOJR5OteGy0VRhH844uD9IrRm8YamPAmVo9zJZoLZfWhfXBFgp/1h8MvWEhRfP9gyRhcyu/d+s98y7rmmFgJGEAAAAAUCGSsIqRHJQvP3Ni/nK/JIefwWCYdbKeSA4G5IXesHzo1YpHggs9FIUkrF9v2LbNp8gWCv0XxaPO7YSsucnYKLMnArVRnKk1n3rFXq+lUCfibWuynjBbCo+Na4116w0z01yYWbH9sqHG2FwhrfeVSV2n52pSfRoFSRgAAAAAVCiJJOyb12/QmZtOatSRdhKx8nVLxDCYfp/J/PV1/V295fpDtG3zKY060k4i1kWhL6M4U5k0v+q+XjjqG9cN86U+xzvNlo8mF/sqCrM1dnps5/vPrn6fyfz1TfpdRcN0m6lVIcXK96K2OszemhNTM1uTffcDsZ6trHM2P79cx2IfWbE22cpkLH6P41sef4u1xPogCQMAAACACiWRhEVNXKeIRGzyij1NoyQ6df75FLfBIJ/JuveJNXGdIhKxIbVcHg9jxh6NLndtrxu29TRJ0qdu/4ok6eytT4pP1r6upd5HjGN/WdcZyfJHwGfs6HPx92yQzyR9Ymis0JPq7rJYB0JI5jq48r4xtQrrhrWTs1i7YqrmLfmBA+HfXeqHh4QsnA0QH2tzK2vRymSsub2svSS1E1ZU9z/08nbccV2t/9CvUr+JOppu0N+n4v06bb+mbNMm/aG3fe8udsTyuk0XPddqT1e/PIVz4Q+NuHhz+3L2r2cdk9WmOMmHL7b67nx1E/8A6no6Y8IG/X0q3q/T55PPLGpr1SnJ4Xc+TLZhOihXmIreutSReDriurAzthBPSzyw8qX27x9+Bynu4Fl4zjiRh5Yn//ABZsZvIk5HBAAAAIAKzcROWBOOtjfhPVbtuAuu0XEXXKPdbz+9nYphdE1IpPtpwtH2JrzHkbiHr1Z2yk7L5UtL2ek84cuXWoWvpfbpPlKWWtn8fHbkeK7byYuDsTnLGuJtTrK55ecOl7MvW/lVE01IpIFVQg3yVvbVrkVL2SmEK74WF1d86eCB7GuplX3Nz0nzc7I1C+3JOqQe0813EGtQu/aEL1tYyJK2VfWoQ21quJnYCQMAAACAukiiJ+yxJzyoHTt690TVrT+M5Ks6TF2fKeN3Z5A+sVl2/AkPaPuVvXui6tYfRvI1olzvVex3sPnCfULPmCv2SJQgTshhnY+h2pwNdTR7Gsr43RmkTwyopeIC8nOt3IQcmXatiT2j7QfHPrLCn/+xf3XO+reVxgSruDh98W7z8/IwMPOV1Y8esQxJGAAAAABUKIkkLOp1pD4ecZ/1RKxuycEs6ZSI9Zq+Hv3Vdbv1OlIfj7jPeiJGcjCiTjOHxZkTY/+X5Y5Q5x8aj/4W+8Fsrj31/PY9OyXlpqLP3Sf7Ziufo1fq1W0a+xpiiQU0RqxBcar4fMoUf+fDos3xvu3Fm+diOq+V18fLC7n+sEI9i+bWrlnxXPE52os8x1liW63l2ywuXF+IwBq+mDNJGAAAAABUKKkkrJdpJl9lLCJdt6RgmsZNX/KJWBPWEKvidye+xvxRE3+pqZtm8lXGItIkBeVZlb60j+oWezYKyVdMr+L6OnML7eueffSTs+uKbRZdesA6ia+XWm9YFb878TXWb5r4SwFpyKdIxYWUQ0+WxwWVY0oVE6rwsPZizWvXSmvCmmMHw4LPc4XaE5/LVqbyFp46raqTtr5V3cw+YGb3mNkNues2mtlVZnZL+H5EuN7M7E/NbLeZXW9mT5zk4AE0C/UIQAqoRQDGNcihtYsknVW47nWSrnb34yVdHS5L0jMlHR++zpf07nKG2d+Zm04qPc0o4zknMS6UgzXEZtJFSrwebdt8SulpUxnPOYlxoSCuJda+nFtTrFMq1fJ2Ambzc9lXWGPH1q7NvuKaO3FtsfiVe+wKvRIz1uYp00VKvBahwYq1p7CW4aq7u7d7umztmuzr0EOyrw0Py77Wrcu+Yk2Kj+2yLmKnWROL6xs2Xd8t4O7/IOl7haufK+ni8O+LJZ2Tu/4vPXONpMPNrAEnKAGoAvUIQAqoRQDGNWpP2JHufmf4912Sjgz/3izp9tz99oTr7lRFypg9cZzkitSrOmXMzFecMbF4/ayb1VlEh5RkPSpj9sRxkitSr+r0nZkvzk4YZzErHgFuuTS/cvYyFWYcWzUD2QCzIy73hk1/lsRZnUV0SEnWIjRQrBPF4Ltdi+LthfW73JcfEutUrDUdErTsKUKdKfaO5V4nPmd7TcUwc2x7xtiGzpI4dhbo2f8IQ281MzvfzHaa2c5772PVNgDjG6UeUYsAlG3cWnRQ+yc0MgCpGDUJu9vMjnL3O0Okfk+4fq+krbn7bQnXreLuF0q6UJIOs40+bJrRLwUZJREjAZsNk1grrph81TUZq6mx6lGxFg2bIPVLQUZJxEjAZkPXn22Xo8zLtxeOKNvccuLV6ny02bsdIS7OvChJWtmLYZY9tn3UWYWj4ShLqbVo0oNFA3SbqTXWmZhe5evOwbDG2HwhdS/WrdjzFa43FdL5+Xlpfm7ldaFnzA9kMy/GWWCX1yRrViI2ahJ2haTzwr/Pk/TJ3PUvDjMBnS7pB7loHgAmgXoEIAXUIgADs65H1+IdzD4s6WmSHiXpbklvkvQJSR+V9BhJt0l6gbt/z7ITQ9+lbMagByW91N139hvEYbbRn2xnjP4uBtApNRk3vdpxx3V9n6NbWkNyNr7itp3kNo3J2CwmYlX2hc0ftXuXu586qeefdD2qohZ1SsTGTa+2793V9zm6JXEkZ+MrbttV29Q694KtWj8sf5+OCVf+KVf3cqy6Phzlbh9ljkeh41HpYn/IhFXZF7Z+063UIiAq1KD2umBxja94udVa1Zdqa/qcNFfscY31Zn5+uY7F1w8JmB84kH1fir1h4TEV16QqfNYv61qL+p6O6O4v7HLTquoQzoF+xXDDA4DBUI8ApIBaBGBco/aEzZx8H1FZiUn+eQZNG0jAylPltizOojiLiRjSkO8jKiuFyj/PoGkDCVh5+m7L9lHdcJQ3HDlekUjFI9Rh1jC1Zw1bmYwVE7Coff3c3PJR53BEuz0zWfu+9IgBjVKsQXGm1lasRaEPzFvtXq9VM7IWk7Fiap/vBZOkhQVZ7AkL17kVetPijIsP7V8xLl9cHOVdzpzG7IRF4/zh3pDpvtHDLE5pP+5EJsP9zuwe6TWaaJydoIZM911fPaaKjztmVmyGj38stc8U6r/ocvuPqMIfVVpaOQtoe2fMJzs76LjLNgz3O3PrSK8BNMFynWmtur59kCbWmsJkQXEq+jipRqxNbR1Psw47cAvhQfPrs+8HD4bnCKclxp2v9umJ9T4wxHLVAAAAAFChxiVh08JpiPXSaUr7lNOwPD6LzcZpiFNUPKqbT7MK6ZgXT0cM5ydamH7e48mFhaPOvfKx9mlE8XSh0By/PLxqT0vkswhUrHBa4uo6szxJhsVTA4sTb3ioGwuhnsRkrJ20h/utNXl4jnZdipN+hETMFgq7IQdC4h+nya/5qdIkYQAAAABQIZKwAdALhn6Ou+Ca5CftIAGbffSC1Uyvo7tW6AmLD4lrms6tbKxv366l9nTT7Yb62G8Rnzo0y9vatdkV7emi43NN9ugzCRgwZat+t1f3qS6nZCvv207IYl9ZqCe+Zs3K+y0uLids8fUK/agK6bw97GFhGPE54yrO4bWWlmqZhpGEAQAAAECFSMIqUuXCwpiOcaexTz1JQz30XVgYaejWP+bFXo7CbIqabydfKsyg2G2BZ4Uj2BYut/sxJjxbIoBE5OtNcebVYhrfWtmnWlxguZ1imUlhtkMvLrExV+wzC489ZEN2c0jMWvvD1PVLS7kaWJ9EjCQMAAAAACpEEjYlJGP1NWgi1m2tsVmaaRGzj2RsRhQWTF2+PiRjrThDmS+v7xP7L+KR6ajQy9FeZDXMVBaPVrcOaNVRbgA1163WtG/vvOi8hWSsXSnm52XxvjERizWm3SMWbo/rh8Xn2pD1iM2F2tWS2v1kXqM1xEjCAAAAAKBCJGEDiCnVJGdJ3HHHdaRhNdMtEeuXkM3CTIuYjphSTXKWxO17d5GGpWyAXrFV6/uEo80+txgeUjjCHfoz2usDhaPPc2vXyONjFw92fn0A9dRrXUOpe69YK/SUtlyKaXucOfGh0OMV1ywsrkE2v7JmxXR+bsMGeZzFdd9D4QVnv2eVJAwAAAAAKkQSlhD6xOppnFkTScQwDfSJzZAO6/10W98nTmbW7hHz1WsDSbmeDgCIuqXgvdY0LPaUhp4vDz1i7bUKi+uHhRle27fPdelPm3EkYQAAAABQIZKwIVTRG5ZHMlYvw6RZxfSMRAx5VfSG5ZGMzZAVR6u7JF2Lna+P2sec5+eZHRFAb11rQy6Vb628T7tvdd++7Hvx9rmV64nZ2jXLr9MlwZ9FJGEAAAAAUKHaJWExPapjakQy1jwkX7Mrpkd1TI1IxmZE39nNOh/Bbq/Ds7REAgZgfN3WFpvr0U8mycNsinbgwHJdqhGSMAAAAACoUO2SsCpU3RvWTZ1TPwD9Vd0b1k2dU79aGTTVIv0CMK58HYkpfGtpxeVVS33Fx3RY/7Dj88642u6ENWkHhdMUgXQ1aQeF0xQBAKsUd5z67UjVaEerF05HBAAAAIAK1SYJm8apgWduOmnqpyR2kh8TqRhQrWmcGrht8ylTPyWxk/yYSMUAAFhGEgYAAAAAFar9TtiOO65LMq0CRsHneXZt37srybQKGAWfZwAYT+13wgAAAAAgJbXpCQPqrJh+NWn2TwDpKKZfTZr9EwDKRBIGAAAAABWqfRJGUoBZRv9XfZAUYJbR/wUA5eqbhJnZB8zsHjO7IXfdH5vZN8zsejP7azM7PHfb681st5ndbGZnTmjcABqGWgQgFdQjAOMa5HTEiySdVbjuKklPcPcTJH1T0uslycweL+lcST8bHvPnZjZf2mg7mOZscaQUmLaGzZZ4kRKuRdOcLY6UAtPWwNkSL1LC9QhA+vruhLn7P0j6XuG6z7j7Yrh4jaQt4d/PlXSpu+9391sl7ZZ0WonjBdBQ1CIAqaAeARhXGT1hvybpI+Hfm5UVnmhPuK5y9IJhljUo3SpTkrWIXjDMsoalW2VKsh4BSMdYO2Fm9kZJi5IuGeGx50s6X5LWa8M4wwDQcNQiAKkYtR5Ri4BmGXknzMxeImmbpDPc3cPVeyVtzd1tS7huFXe/UNKFknSYbfRO9xkFCRhm3SgpWJPXDUu1FpGAYdaNkoI1fd2wcerRpGoRgDSNtE6YmZ0l6TWSnuPuD+ZuukLSuWa2zsyOlXS8pC+PP0wAWI1aBCAV1CMAw+ibhJnZhyU9TdKjzGyPpDcpm/FnnaSrzEySrnH3l7v7183so5JuVBbFv8LdlyY1eKBO6APrjVoEVIM+sP6oRwDG1XcnzN1f2OHq9/e4/1skvWWcQQFAEbUIQCqoRwDGVcbsiFNRTA2a2AvTC9tjdpSZgDW5N2xaiqlBU3thumF7zI4yE7Cm94YBQD8j9YQhbfwBjoYt4oxE8Qc4GriIMwAMhJ0wAAAAAKjQzJ2OyGmI3bEtZgtJ1WzjNMTu2BazhaQKAKpHEgYAAAAAFZq5JIy0ZzW2yWypMgHbccd1fD4mhLRnNbbJbKkyAdu+dxefDwDIIQkDAAAAgArNXBKWglR6eUg4ZlP8uaXyOcLsSqWXh4RjNsWfWyqfIwBoEpIwAAAAAKiQufu0xyAzu1fSA5K+O+2xdPAoMa5hMK7h1G1cR7v7o8seTFWoRSNhXMNhXMOhFqWnbp+VSWNcw6nbuLrWoiR2wiTJzHa6+6nTHkcR4xoO4xoO40pPqu+dcQ2HcQ2HcaUn1ffOuIbDuIbTpHFxOiIAAAAAVIidMAAAAACoUEo7YRdOewBdMK7hMK7hMK70pPreGddwGNdwGFd6Un3vjGs4jGs4jRlXMj1hAAAAANAEKSVhAAAAAFB7SeyEmdlZZnazme02s9dNaQxbzexzZnajmX3dzF4Vrt9oZleZ2S3h+xFTGt+8mX3NzLaHy8ea2bVhm33EzNZOYUyHm9llZvYNM7vJzJ6SwvYyswvCz/AGM/uwma2fxvYysw+Y2T1mdkPuuo7bxzJ/GsZ3vZk9seJx/XH4OV5vZn9tZofnbnt9GNfNZnbmpMaVghRqURhHsvWIWjTUuJKoRWEsydUjalF31KKBxpZcLQrjSK4eUYtGGtPEa9HUd8LMbF7Sn0l6pqTHS3qhmT1+CkNZlPRqd3+8pNMlvSKM43WSrnb34yVdHS5Pw6sk3ZS7/EeS3u7ux0n6vqSXTWFM75R0pbv/tKQTw/imur3MbLOkV0o61d2fIGle0rmazva6SNJZheu6bZ9nSjo+fJ0v6d0Vj+sqSU9w9xMkfVPS6yUp/A6cK+lnw2P+PPzO1k5CtUhKux5RiwaQWC2S0qxHncZELaIWDSrFWiQlVo+oRSOPafK1yN2n+iXpKZJ25C6/XtLrExjXJyX9oqSbJR0VrjtK0s1TGMsWZR/Kp0vaLsmULRi30GkbVjSmR0i6VaGvMHf9VLeXpM2Sbpe0UdJC2F5nTmt7STpG0g39to+k90p6Yaf7VTGuwm3/UdIl4d8rfh8l7ZD0lCp/phV+dpKsRWEsSdQjatFQ40qqFoXXS64eUYs6vm9qUf9xJFeLwusmV4+oRaONqXDbRGrR1JMwLX84oj3huqkxs2MknSzpWklHuvud4aa7JB05hSG9Q9JrJLXC5UdKut/dF8PlaWyzYyXdK+mD4XSA95nZIZry9nL3vZLeJuk7ku6U9ANJuzT97RV12z4p/R78mqRPh3+nNK5JS/K9JlaP3iFq0UBmoBZJ6dcjalEmifdKLRpIcvWIWlSKidSiFHbCkmJmh0r6uKTfcvcf5m/zbJe30ukkzWybpHvcfVeVrzuABUlPlPRudz9Z0gMqxOtT2l5HSHquskK4SdIhWh0xJ2Ea26cfM3ujstNPLpn2WJBWPaIWDWeWapGUXj2iFqWFWjSw5OoRtWg8k6xFKeyE7ZW0NXd5S7iucma2RlmRucTdLw9X321mR4Xbj5J0T8XDeqqk55jZv0q6VFn0/k5Jh5vZQrjPNLbZHkl73P3acPkyZYVn2tvrGZJudfd73f2gpMuVbcNpb6+o2/aZ+u+Bmb1E0jZJvxKKYBLjqlBS7zXBekQtGk7qtUhKtB5Ri9J6r9SioaRYj6hFI5p0LUphJ+wrko4Ps7SsVdbsdkXVgzAzk/R+STe5+5/kbrpC0nnh3+cpOx+6Mu7+enff4u7HKNs2f+fuvyLpc5KeP8Vx3SXpdjN7XLjqDEk3asrbS1ncfrqZbQg/0ziuqW6vnG7b5wpJLw4zAZ0u6Qe5aH7izOwsZad2PMfdHyyM91wzW2dmxyprjv1yVeOqWBK1SEqzHlGLhpZ6LZISrEfUIknUop5SrUVhbCnWI2rRCCqpRWU0s437JelsZTOPfEvSG6c0hp9TFn9eL+m68HW2svOMr5Z0i6TPSto4xe30NEnbw79/MvzQd0v6mKR1UxjPSZJ2hm32CUlHpLC9JP2+pG9IukHSX0laN43tJenDys6/Pqjs6NjLum0fZU3FfxZ+B/5F2SxGVY5rt7JznONn/z25+78xjOtmSc+s+udZ8Wdn6rUojCPpekQtGnhcSdSiMJbk6hG1qOe2oRYNNr6kalEYR3L1iFo00pgmXossPBkAAAAAoAIpnI4IAAAAAI3BThgAAAAAVIidMAAAAACoEDthAAAAAFAhdsIAAAAAoELshAEAAABAhdgJAwAAAIAKsRMGAAAAABX6/0OBdRCgVrsNAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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tRTu1vaSWAqhKoSTMzOYrKTJXu/tXwuKnzOxgd3/CzA6W9HSn57r7FZKukJLZEYu0o0rdUqHYU5gmzIbYyygTsbpte9uMqhadcMzC2taibqlQ7ClME2ZD7GWUiVjdtr2Nhq1H2Vq01JbXthYB6E+R2RFN0uck3e/uH8/cdaOkc8Pv50q6YfjmAcDcqEUAYkE9AtCvIknYqZJ+RdK/mtldYdmHJF0q6TozO1/So5LeXqiFKIQUCC1ALaoBUiC0BPUIQF+G7oS5+7ckWZe7ucIggFJQiwDEgnoEoF+FJ+YAYrf+8btI8wBUbt3mDaR5AABJdMIAAAAAoFQjuU4YZsQ+K+KgmpQgDTNbYpO2H+0S+6yIg2pSgjTMbIlN2n4AAJ0wdNHkzgcXcwbqo8mdDy7mDADtxemIAAAAAFAikrARIVUBEANSFQAA4kcSBgAAAAAlIgnDLE0eCzYI9gNQrSaPBRsE+wEAmokkDAAAAABKRCdsROp+QeC6t38YbdtetEPdLwhc9/YPo23bCwCgEwYAAAAApWJM2IjV7RpUpEFAM9XtGlSkQQCANiEJAwAAAIASkYSNSd0SMSRIBtE0dUvEkCAZBIBmIwkDAAAAgBKRhI1ZrIkYiQ/QLrEmYiQ+AIA2IgkDAAAAgBLRCStJG6/DVQe8L2ibNl6Hqw54XwCgXeiEAQAAAECJGBNWsljGiKXrJwVKsB/QNrGMEUvXTwqUYD8AQDuQhAEAAABAieiEAQAAAECJ6IRVhAkhAMSACSEAACgfnTAAAAAAKBGdMAAAAAAoEZ0wAAAAACgRU9RXpOop6lNMVQ+0W9VT1KeYqh4A0CYkYQAAAABQIjphAAAAAFCiwp0wM5s0s++Z2VfD7cPN7HYz22hmXzKzBcWbCQBzoxYBiAG1CEA/RpGEvV/S/ZnbfyTpMnc/UtLzks4fwToaY/WKY6MZDwY0DLVoAGtWHh/NeDCgYahFAHoq1Akzs1WS3izps+G2SXqTpLXhIVdJOrvIOgCgF2oRgBhQiwD0q2gSdrmkD0qaCrf3l/SCu+8KtzdJWllwHQDQy+WiFgGo3uWiFgHow9CdMDM7U9LT7n7nkM+/wMzuMLM7nnlu97DNANByo6xFzz431fsJANDBKGvRTm0fcesAxKbIdcJOlfQWM1sjaZGkpZI+IWmZmc0LR31WSdrc6cnufoWkKyTpxGMWeYF21ELs48DacL2w/HvQ5G1tmZHVohOOWdj4WhT7OLA2XC8s/x40eVtbZmS1aKktb3wtAtpu6CTM3S9291XufpikcyT9nbv/kqRvSHpbeNi5km4o3EoA6IJaBCAG1CIAgyiShHVzoaRrzeyjkr4n6XNjWAewh37TRhKw1qAWoRL9po0kYK1BLQKwh5F0wtz9m5K+GX5/RNJJo3hdABgEtQhADKhFAHoZRxKGjNjHgtUR+xQYXOxjweqIfQoAGNYoLtYMAAAAAOgTSRhmiWWWxHGkXVVvE4D+xTJL4jjSrqq3CQBQPTphY1L3U+bK6ozVfT8Bsav7KXNldcbqvp8AAPXC6YgAAAAAUCKSMJSCxAtADEi8AAAxIAkDAAAAgBKRhI1Y0xKf1SuO7XtcWKzbzoQcaKOmJT5rVh7f97iwWLedCTkAACmSMAAAAAAoEUkYesrPlBhr4gWg2fIzJcaaeAEA0AtJGAAAAACUiCQMfatbAsZYMKCZ6paAMRYMAJBHEgYAAAAAJSIJG5G6pURtwntTpo1VN6D16pYStQnvTZkeqboBADAnkjAAAAAAKBFJGBqLBAxADEjAAAB5JGEAAAAAUCKSsIJIWwDEgLQFAID6IAkDAAAAgBLRCQMAAACAEtEJAwAAAIAS0QkrgPFgAGLAeDAAAOqFThgAAAAAlIhOGAAAAACUiCnqh8BpiABiwGmIAADUE0kYAAAAAJSIThgAAAAAlIhOGAAAAACUiDFhA2AsGDDb+sfvksTfRtkYCwbMtm7zBkn8bQCoj0JJmJktM7O1ZvZ9M7vfzN5gZsvN7GYzeyj83G9UjQWATqhFAGJBPQLQj6JJ2Cckfc3d32ZmCyQtlvQhSbe6+6VmdpGkiyRdWHA9ACqWpl5z3Td5cDlt6YBaBLREmnrNdd+CFWW1piPqEYCehk7CzGxfSf9e0uckyd13uPsLks6SdFV42FWSzi7WRADojloEIBbUIwD9KpKEHS7pGUlfMLNjJN0p6f2SDnL3J8JjnpR0ULEmAqjSXAlYJKhFQAvMlYBFhHoEoC9FxoTNk3S8pE+5+3GStiiJ16e5u0vyTk82swvM7A4zu+OZ53YXaAaAlhtZLXr2uamxNxZAow1dj7K1aKe2l9JYANUp0gnbJGmTu98ebq9VUnieMrODJSn8fLrTk939Cnc/0d1PPHD/yQLNANByI6tFB+zPVTsAFDJ0PcrWovlaWFqDAVRj6G8c7v6kpMfM7DVh0WmS7pN0o6Rzw7JzJd1QqIUAMAdqEYBYUI8A9Kvo7Ij/Q9LVYfafRyS9S0nH7jozO1/So5LeXnAdlavLNZC4ZhNarBW1qC7XQOKaTWi5VtQjAMUU6oS5+12STuxw12lFXhcABkEtAhAL6hGAfhRNwhqtrolSdja7um4DgBl1TZSys9nVdRsAABgHOmENkna4sp2w/PTiVXXKNl52iiTpyA/cVsn60V2301hrMDU9IpV2uLKdsPz04qV2yswkSZMHHKAHLj5CknTk/6QWxabbaaw1mZoe2FOoPfIwGeZEMhHd5E8foXW3XCeJg+VtxlRgAAAAAFAikrAOuh2VmCsZqMuRjG7bMM72b7zslFISMCYmGUz+s1Bk/808Z2ORJiGnW1o0VzJQl9P+um1DofaHo842b74kaXLlj0uSpvZdIkl6dcXees3/fkCS5EuSZVNbtgy/vi6YmGQw+c9Ckf0385xHijYLGFxagyaTxMv22kuStOuYJIHfsmqRJOm515refOpZkqTJg7ZKknY/1fEqKmgwkjAAAAAAKBFJ2IjElMKsXnHswON5Yhk7NgoxvRd1NMhnh30cn5hSmDUrjx94PM9AY8e6HHW2ecl/bT4//Be3OxmPsde3vq+prclRZ9+9O3ns/AXJ7Z07BmpnP2J6L+pokM8O+xilSsd6pTfTGhRqz8R+y5I79kqSr11LkuUWatGRf/ZvmnrxJUnS1LbtyXPGmM4jTiRhAAAAAFAikrAOSFJGM8191TMi8j6OHvuyXCQpuWnuV50gaeaosyx3HDGkW1ocErFtId16/kVJ0tSOHfIpn/UU37UzvFZuFrMR4n0cPfYlKhVqz8SihcnttCYFvjOpK77/MknS/JeS23v94Plk+ZZX5Tt3zX7O9iQRm07yd82+H81DEgYAAAAAJSIJy+h0na26atK29NJrGxnjNDqki+XodJ2tuhrVtkxmU6/cUedpaZoVjiinR5anjzhPzZFyjSAB67WNjHEaHdJFVCYzHixNraZNhPtCjZp45dVZP33rtuRnmtpnTKf0PjXK1iJiJGEAAAAAUCKSMO15VH+Qo/wkAjPSMWCpqsaCjQKJz9yaNJtmTPJH9Qc5yt/0RGB35ujw9ExkC5LrgaUJVzqGYjr5StOtqcxzw5FqnwrHICM/6kziM7eBZtMERsFdNhkSr1CDbJ+9k9s70xoUxoSF5Gs6hc+M87LJ2TlIp3QMzUYSBgAAAAAlIgkbQH6cVR2O/o9zbFgsydcotzH/Gown60+6nyYPrrYdbZEfZ1WHo/8jGRuWjgtLx4Sl4zHSxCv9mTui7D4z1mKc4y5GOZYv/xqMJ+tPup8WrKi4IWi2UItsfpKETV+TMKRbFmqQ7wq1KK03aW1yn65LeyRgY5ihFXEiCQMAAACAErU6CRs2uWhr4hFL8oXRaNMMmrEbNrloU+IxaRMzY8EWLUp+Lk5+Kj3anKZcYfayOa+zw9HmaDRpNlC0gNn0eFRfto8kadfyJZKkiW3JWLDJUIssHSO2bfvs15iamqlXkY9LxfiQhAEAAABAiVqdhLXJsKnHEV96j3RZ8jvJ19zqNFYwK99ekjGM07Cpx+pVJ2hiyUJJM7MipuMwLL1uz/QYsdyR5XT2xOx1wtLnNDARq9NYwax8e0nGECObN18Ty/aVJO0ONWn3oiSl91BWJrYuSB6bzsyaq0merTvpWNcpZkdsG5IwAAAAAChRK5OwuiUVVYs9ASO5Ga1ufx9z7eeZ52wcdXMarW5JRRUmp2chm6eJJYuThelMZBPhOOJEGH8RZibzXbOPL05fjyc7O+IYkNyMVre/j7n288xzHhlDi9BqIT2fWLKXpvZfKknavSipRbsXpDUm/Jgfxq+mNSo3s6tNTsqncmNWG5zOo7NWdsLarN/TEqe/VF821uY0Ul1PS+wluz1N3UaUp9/TElevOkGSNLn3wulTeNLB7pY+KH86Yjohh00/opXqelpiL9ntaeo2Ij62IJxiuPfe0u6kFk1uD6cQppMBzUt+Ti0Mp0pvCz/TA0RTmZoULhwvzkJsLU5HBAAAAIAStS4J48j9YI78wG3TU9PHfloiysPfUXEcuZ9behrixKJk4LsWzJ85tScd7L47HfSeu0hzmpiFU3+mB8FPTsrCYWfn6HMj8HeEsZtI6sjE0uQURF+yl6YWhIRr5+7wkJBqbU/T+tzFmdOUPtQsmzfz9dt3znEpDTQaSRgAAAAAlKh1SRgS3caG1SnhiH1CDsZNAb3lx4alCdjph54kSZpYvrekMB5jKj/1fG7a59xFmz09Cp1/3ojFPiEH46aAIUxPxBEmBPqx5ZKkXUsXaSIkYB5Gptqu2TVmYnty0WZL0/p0nCrT0CODJAwAAAAASkQSBkmkNQAqEo4275GA7btPcv8+SyRJbibbkRxd1q7ZCZenSVc4yuw7dnRd3TinqAdQQ6EGTY8hDTVicu+k9ujHD5Qkbf/xJJX3SdO8LSEl2xZqUihBlqbv6TivrduS53SYdn46qUdrkYQBAAAAQIlal4Stf/wuUp+MOu+LfNtjHSM2yrFhjDNrjnWbN7R7jE569HnefEnS6YefLEma2CuZDdHmJ8vT8V3yPcd1TSdg+aPPnhsTlhpTCpZ/H2MdIzbKsWGMM0Pt5RIwW5jUnolwMXjbJ0njpxYvnPW0ye27Z2ZkTV9jd7h24fbwc+t2SZKnY8GmZ3IN6T0pGFQwCTOzD5jZvWZ2j5ldY2aLzOxwM7vdzDaa2ZfMbMGoGgsAnVCLAMSCegSgH0MnYWa2UtL7JB3t7lvN7DpJ50haI+kyd7/WzD4t6XxJnxpJa1Ga9NpgUn2uD1aXZGwYTdqWUaMW1UwuAbNwHTCbDMcE54fvpuk1wXZnZjwMR5V9Zzo2LL3dJQGbI0VThzEao1KXZGwYTdqWcaAe1UC3BGzZvsn988LYsMWLkp/zklo0uTWtM9LEtuT3iS3JmK/p8arbcglYWO75axlKe9anMdYkxKnomLB5kvYys3mSFkt6QtKbJK0N918l6eyC6wCAXqhFAGJBPQLQ09BJmLtvNrOPSfqhpK2Svi7pTkkvuHt6+e9NklYWbuUIMZZmbmkCVpf0ay7droVWlUHGc+Ufy+e2u7rWotaOpQmzIGoiPRodbqdHpdPb0+O9ksfJfSYBS48uh1kQp48yd0m+Zs2I2CkVG7P8tdCqNsh4rvxjW/u57VNd61ErhVpkYQyYFiTpvKdJ2Pzkp3Yn9WNi50xiNZ2ApWO/Xn01uS+k8tNpfG7s16xaVUEtQlyGTsLMbD9JZ0k6XNIKSUsknT7A8y8wszvM7I5nnmOAIoDhjLIWPfsc/ykCGF6RepStRTu1fYytBBCDIrMj/pykH7j7M5JkZl+RdKqkZWY2LxzxWSVpc6cnu/sVkq6QpBOPWcSJsBXJjv2SmpGA5VU9VmyYFIvkayAjq0UnHLOQWlSW9AhxSMCmzcv9tzR95HhqZgxYmoDlZhybfko/syDaTMJWlqrHig2TYpF8DWzoepStRUttObVo1NK/+RwP47iUpvDhcVOL5s9++nTS7tNjwNIEzNMxYbtz1zBMa9RE53UnL5zmIYwNa5siY8J+KOkUM1tsZibpNEn3SfqGpLeFx5wr6YZiTQSAOVGLAMSCegSgL0XGhN1uZmslbZC0S9L3lBzB+VtJ15rZR8Oyz42ioYMiSZhbk8Z+DWpcY8X4zFUj9lpEkhBMJ0/hCPFUcgzQt4axFUuWJPen4zPSMWG7wpFl9z2v89UtAcuPtUiPNGeXR3C0eVxjxfjMVSf2egTtUQ/cw/jUF19Jlh+4nyRpaq9wvbAwFmz6GmC7pmbqUlpzuiVgac1JR91k1t21XqE1Cl2s2d0vkXRJbvEjkk4q8roAMAhqEYBYUI8A9KNQJwz10+YErNOMg0XTMNIvYDiWjpFIE7KpTOIlTR9pnh5rsX379LV3po8yBz2PKHdanh8fUmIy1mnGwaJpGOkXMIcu48GSu2bP1OrTKVfyY2JHcntia1KL7OVX5du2hceGCS+7JGB7jk9NXsuyY8QsPzIoV68iSO0xHo3rhPGluN5imU4+j88VBsWX4iD98pNOB51++UinpE9PP0wn5Egvdhq+zKRfdrRzZ/cvOPlOVrcvLZ2+iHV5bCzTyefxuQKGlNagXO2xtPaEC8d7mJBj3kvphZjDaYgvvJzcv2PHzGQe4TTEvmuT0sUdpmTot46hMYperBkAAAAAMIAokrAH714869QwUofRa/NpiHnZz1m3STr4DLbTQ3cvmXVqGKnD6KQJmC1YkCxIp6ZPT8VJp3xOjyyHaehTvntq5ijz7i7Xlux15DiyI8vZz1m3STr4DAKjMV2D0gQsTAZk4eLMmkhq0cQrafoeTn9Op6EP6Zbv2DGTgKWnIwZ9T7Yx1/2R1SmMD0kYAAAAAJQoiiQsRfrQfN3SzqrHgvHZQxbpwxik4zEW75Xczl14OT36O51ydUi7hk7AOuiWdlY9FozPHjBmaQq/fN/k5/ZQg7amk22EOrMzXBQ+nRxoaia9mp4kqMdlM/aoTRVcJB7xIgkDAAAAgBJFlYRhfGIbC1Z18pW2gQQMKMd0ijWdgM0eA5ZPvuY8wjzCo8hVJ19pG0jAgDFyn6kpIX2fSGvQlq3J8u1hZtZu085Pv9YQF1omAUMHJGEAAAAAUCKSMJQihuSrSZjNEbWRHvlNDwRvyx1tTh/W84LLozmCHEPy1STM5ojaSGtLOsvhCy8lP0MC1vcFl/uZ2XCOi0MDKZIwAAAAACgRSRgq0e36XGWr67Xp8vuv236s23ahwcLR46l0prExJ1796nZ9rrLV9dp0+f3XbT/WbbvQQLkZWKde2TLr9p6PH+BaXr2SL8aCoQOSMAAAAAAoEUkYKlF1AtYU3RJFEjBEJz0S7F2OOlek6gSsKboliiRgiM5UUoM8TbpGkVLlX4PkC30gCQMAAACAEpGEYeyyKU0+oSERGw2SL6C3bEqTT2hIxEaD5Au1QVqFipGEAQAAAECJSMIwNnMlYPnlVSViJEhA882VgOWXV5WIkSABQLuQhAEAAABAiUjCMDaDpExVJ2IAmmuQlKnqRAwA0A4kYYjK6hXHcooggMqtWXk8pwgCAMaGThgAAAAAlIjTERElprIvX7qPSSKBGUxlX750H5NEAmgykjAAAAAAKBFJGGphHBN3kPgk8vt0rn3MPkPbjWPiDhKfRH6fzrWP2WcA6o4kDAAAAABKRCcMtUISMzrrH7+LsXbAkEhiRmfd5g2MtQPQOnTCAAAAAKBEjAlD7XBh52KK7DdmUARmcGHnYorsN2ZQBFB3PZMwM/u8mT1tZvdkli03s5vN7KHwc7+w3MzsT8xso5ndbWZURwAjQz0CEANqEYCi+jkd8UpJp+eWXSTpVnc/StKt4bYknSHpqPDvAkmfGk0zgT2tXnHsQIlM+vhBn9cUDRkDdqWoR4jMmpXHD5TIpI8f9HlN0ZAxYFeKWgSggJ6dMHf/B0k/yi0+S9JV4ferJJ2dWf4XnrhN0jIzO3hEbQXQctQjADGgFgEoatgxYQe5+xPh9yclHRR+XynpsczjNoVlTwiSGFMzDt3GiNVtH4/rs9GA9KsX6tEQGFMzet3GiNVtH4/rs9GA9KsXahGAvhWeHdHdXZIP+jwzu8DM7jCzO3Zqe9FmAMBQ9YhaBGDUqEUAehk2CXvKzA529ydCpP50WL5Z0iGZx60Ky/bg7ldIukKSltrygTtxddEthZgrnahbghOLpuy37Gej6Da1IAWTCtajttSibinEXOlE3RKcWDRlv2U/G0W3qQUpmEQtAjCAYZOwGyWdG34/V9INmeXvDDMBnSLpxUw0DwDjQD0CEANqEYC+9UzCzOwaSW+UdICZbZJ0iaRLJV1nZudLelTS28PD10laI2mjpFclvWsMba6VYa5pxbgxpLp9bnp9NsadgFX1GaUeDW+Ya1oxbgypbp+bXp+NcSdgVX1GqUUAiurZCXP3d3S567QOj3VJ7y3aKADohHoEIAbUIgBFDTsmDAPKJwb9JBVNSsSatC0xqPtMkKhOPjHoJ6loUiLWpG2JQd1nggSAqtAJq8gwpynGrm0dyxgM07kHsoY5TTF2betYxmCYzj0AtFnhKeoBAAAAAP0jCatYExKxOrd9nAadVKPIZ4H3AEU1IRGrc9vHadBJNYp8FngPAKA/JGEAAAAAUCKSsEisXnFszws7N2kcVRO3qV+9ErK5Pgv5x1adgLX5fWyqNSuP73lh5yaNo2riNvWrV0I212ch/9iqE7A2v48A6okkDAAAAABKRBIWkbrOdBdLKhOLYfdDNlWq+mLMaLe6znQXSyoTi2H3QzZVqvpizADQVCRhAAAAAFAikrCItSFhYkzRYJr8WUC82pAwMaZoME3+LABAGUjCAAAAAKBEJGE1UJeUaJjkbpzbVnbKNqqUav3jd9V2fCCarS4p0TDJ3Ti3reyUbVQp1brNG2o7PhAAYkcSBgAAAAAlIglDJcpM9/IpUtXJ4iDrr0sClrZz8uBq2wEMqsx0L58iVZ0sDrL+uiRgaTsXrKi4IQDQA0kYAAAAAJSIJAwj1ynpqWIWxG5j1MbRlk7juIq+HoBiOiU9VcyC2G2M2jja0mkcV9HXAwCMHkkYAAAAAJSIJCxiTbqGVozbkE2birYvxu0DRqVJ19CKcRuyaVPR9sW4fQCAPZGEAQAAAECJSMIi0m0cUJMSMfRnmGuuAaPSbRxQkxIx9GeYa64BAHqjExYROlnlY58De6KTVT72OQC0C6cjAgAAAECJ6ISh8VavOLa2iVed2w5gtjUrj69t4lXntgNAjOiEAQAAAECJGBOG1qljssREHUDz1DFZYqIOABgNkjAAAAAAKBFJGFqjjglYXmyJ2J77dGMVzQBqpY4JWF5sidie+/SRStoBAP0iCQMAAACAEpGEATVUJNUbRYrWhFQRQHFFUr1RpGhNSBUBtFPPJMzMPm9mT5vZPZllf2xm3zezu83sr81sWea+i81so5k9YGarx9RuAC1DLQIQC+oRgKL6ScKulPRJSX+RWXazpIvdfZeZ/ZGkiyVdaGZHSzpH0mslrZB0i5n9lLvvHm2zAQxr2BRr/eN3VZ2AXSlqEdAYw6ZY6zZviCEBu1LUIwAF9EzC3P0fJP0ot+zr7r4r3LxN0qrw+1mSrnX37e7+AyWj9E8aYXsBtBS1CEAsqEcAihrFxBzvlnRT+H2lpMcy920KywDUXA3GgVGLgBaIIAXrB/UIwJwKTcxhZh+WtEvS1UM89wJJF0jSIi0u0gwALUctAhCLYesRtQhol6E7YWZ2nqQzJZ3m7h4Wb5Z0SOZhq8KyPbj7FZKukKSlttw7PQYAeqEWAYhFkXpELQLaZajTEc3sdEkflPQWd381c9eNks4xs4VmdrikoyR9p3gzAWBP1CIAsaAeARhEzyTMzK6R9EZJB5jZJkmXKJnxZ6Gkm81Mkm5z9/e4+71mdp2k+5RE8e9l9h8Ao0AtAhAL6hGAomwmLa/OUlvuJ9tpVTcDQEG3+No73f3EqtsxLGoR0AzUIgAxmKsWjWJ2RAAAAABAn+iEAQAAAECJ6IQBAAAAQInohAEAAABAieiEAQAAAECJ6IQBAAAAQInohAEAAABAieiEAQAAAECJ6IQBAAAAQInM3atug8zsGUlbJD1bdVs6OEC0axC0azBNa9eh7n7gqBtTFmrRUGjXYGjXYKhF8WnaZ2XcaNdgmtaurrUoik6YJJnZHe5+YtXtyKNdg6Fdg6Fd8Yl122nXYGjXYGhXfGLddto1GNo1mDa1i9MRAQAAAKBEdMIAAAAAoEQxdcKuqLoBXdCuwdCuwdCu+MS67bRrMLRrMLQrPrFuO+0aDO0aTGvaFc2YMAAAAABog5iSMAAAAABovCg6YWZ2upk9YGYbzeyiitpwiJl9w8zuM7N7zez9YflyM7vZzB4KP/erqH2TZvY9M/tquH24md0e9tmXzGxBBW1aZmZrzez7Zna/mb0hhv1lZh8I7+E9ZnaNmS2qYn+Z2efN7GkzuyezrOP+scSfhPbdbWbHl9yuPw7v491m9tdmtixz38WhXQ+Y2epxtSsGMdSi0I5o6xG1aKB2RVGLQluiq0fUou6oRX21LbpaFNoRXT2iFg3VprHXoso7YWY2KelPJZ0h6WhJ7zCzoytoyi5Jv+nuR0s6RdJ7QzsuknSrux8l6dZwuwrvl3R/5vYfSbrM3Y+U9Lyk8yto0yckfc3df1rSMaF9le4vM1sp6X2STnT310malHSOqtlfV0o6Pbes2/45Q9JR4d8Fkj5VcrtulvQ6d3+9pAclXSxJ4W/gHEmvDc/5s/A32zgR1SIp7npELepDZLVIirMedWoTtYha1K8Ya5EUWT2iFg3dpvHXInev9J+kN0han7l9saSLI2jXDZJ+XtIDkg4Oyw6W9EAFbVml5EP5JklflWRKLhg3r9M+LKlN+0r6gcK4wszySveXpJWSHpO0XNK8sL9WV7W/JB0m6Z5e+0fSZyS9o9PjymhX7r7/JOnq8Pusv0dJ6yW9ocz3tMTPTpS1KLQlinpELRqoXVHVorC+6OoRtajjdlOLercjuloU1htdPaIWDdem3H1jqUWVJ2Ga+XCkNoVllTGzwyQdJ+l2SQe5+xPhriclHVRBky6X9EFJU+H2/pJecPdd4XYV++xwSc9I+kI4HeCzZrZEFe8vd98s6WOSfijpCUkvSrpT1e+vVLf9E9Pfwbsl3RR+j6ld4xbltkZWjy4XtagvNahFUvz1iFqUiGJbqUV9ia4eUYtGYiy1KIZOWFTMbG9JX5b0G+7+UvY+T7q8pU4naWZnSnra3e8sc719mCfpeEmfcvfjJG1RLl6vaH/tJ+ksJYVwhaQl2jNijkIV+6cXM/uwktNPrq66LYirHlGLBlOnWiTFV4+oRXGhFvUtunpELSpmnLUohk7YZkmHZG6vCstKZ2bzlRSZq939K2HxU2Z2cLj/YElPl9ysUyW9xcz+TdK1SqL3T0haZmbzwmOq2GebJG1y99vD7bVKCk/V++vnJP3A3Z9x952SvqJkH1a9v1Ld9k/lfwdmdp6kMyX9UiiCUbSrRFFta4T1iFo0mNhrkRRpPaIWxbWt1KKBxFiPqEVDGnctiqET9l1JR4VZWhYoGex2Y9mNMDOT9DlJ97v7xzN33Sjp3PD7uUrOhy6Nu1/s7qvc/TAl++bv3P2XJH1D0tsqbNeTkh4zs9eERadJuk8V7y8lcfspZrY4vKdpuyrdXxnd9s+Nkt4ZZgI6RdKLmWh+7MzsdCWndrzF3V/NtfccM1toZocrGRz7nbLaVbIoapEUZz2iFg0s9lokRViPqEWSqEVzirUWhbbFWI+oRUMopRaNYjBb0X+S1iiZeeRhSR+uqA0/oyT+vFvSXeHfGiXnGd8q6SFJt0haXuF+eqOkr4bffzK86Rsl/ZWkhRW051hJd4R9dr2k/WLYX5J+T9L3Jd0j6S8lLaxif0m6Rsn51zuVHB07v9v+UTKo+E/D38C/KpnFqMx2bVRyjnP62f905vEfDu16QNIZZb+fJX92Kq9FoR1R1yNqUd/tiqIWhbZEV4+oRXPuG2pRf+2LqhaFdkRXj6hFQ7Vp7LXIwosBAAAAAEoQw+mIAAAAANAadMIAAAAAoER0wgAAAACgRHTCAAAAAKBEdMIAAAAAoER0wgAAAACgRHTCAAAAAKBEdMIAAAAAoET/HyZxRlLUBZKoAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "for i in range(10):\n",
+ " plot_predicted_data(generator, collected_routes, \"Train\", i)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 79,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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kkB4BSAHpEQCgFQZhGHqjOPgqH6o4iu8RGDWjOPgqH6o4iu8RAKrA4YgAAAAAEBFJGIZWCulQXkMvC3QAGG4ppEN5Db0s0AEAiIckDAAAAAAiIgnD0EkhAYslhfeap3wp1AKkJIUELJYU3mue8qVQCwD0iiQMAAAAACIiCcNQIY2pTnHeGz8HjDvSmOoU573xcwAwrHpOwsxs0sz+08y+FC4fYmbXmNl2M7vQzFb2XiYALI9eBCAF9CIA7ehHEvZOSTdL2jdc/rCks9z9AjP7pKTTJH2iD6+DMUbyEt9yKz4meh4zehEGjuQlvuVWfEz0PGb0IgAt9ZSEmdm0pF+X9I/hskk6TtLF4S7nSjq5l9cAgFboRQBSQC8C0K5ek7CPSnqvpH3C5bWSHnX3uXB5h6T1Pb4GxlgiCUt0w/K+E6rzo6IXYYASSViiG5b3nVCdHxW9CEAbuk7CzOwVkh5092u7fPzpZrbNzLY9tHO+2zIAjLl+9qKdO2t9rg7AuOhnL5rVTJ+rA5CaXpKwYyS9ysxOkrRa2bHPH5O0v5lNhb0+05LuafRgdz9b0tmStOmI1d5DHQAGIE+5Gs0NSygBk/rYi448YiW9CEhMnnI1mhuWUAIm9bEX7Wtr6EXAiOs6CXP3M9192t0PlnSKpG+4+5skfVPS68LdTpV0Wc9VAkAT9CIAKaAXAejEIE7WfIakPzCz7cqOhf7UAF4DSEpiyVBfbVm3sf7+it8PAXoRxk5iyVBfbZ3eXH9/xe+HAL0IwBJ9OVmzu39L0rfC93dIemk/nhcAOkEvApACehGAVvoyCAP6bYjSlr5L9b2nWhcwSEOUtvRdqu891boAoBODOBwRAAAAANAEgzAAAAAAiIjDEYE+G5XD9vKl6Ufl/QDjZlQO28uXph+V9wMAEkkYAAAAAERFEoakDHPqMsy1NzJq7wfoxDCnLsNceyOj9n4AQCIJAwAAAICoSMKQBFIXACkgdQEAxEASBgAAAAARMQgDAAAAgIgYhAEAAABARMwJQ6WYCwYgBcwFAwDERBIGAAAAABGRhKESJGAAUkACBgCoAkkYAAAAAEREEoaoSMAApIAEDABQJZIwAAAAAIiIQRgAAAAARMQgDAAAAAAiYk4YoujnXLAr7r2u788JYDz0cy7YJTuu7vtzAgDGA0kYAAAAAETEIAwDN4gULP++eBkAljOIFCz/vngZAIBWOBwRAzPowwU5HBFAOwZ9uCCHIwIAOkUSBgAAAAARkYSh7waZUJF+dY6FTDCuBplQkX51joVMAGABSRgAAAAAREQShiS1s+DGOCc73SxIQiIGdK6dBTfGOdnpZkESEjEAIAkDAAAAgKhIwtA3/UxY8udiCXoAnepnwpI/F0vQAwD6qackzMz2N7OLzezHZnazmR1tZmvM7Eozuy18PaBfxQJAI/QiAKmgHwFoR6+HI35M0lfd/eclHSHpZknvk3SVux8m6apwGSNsy7qNlcwzGueTNXezzav6OUVCL4K2Tm+uZJ7ROJ+suZttXtXPKSL6EYCWuh6Emdl+kl4u6VOS5O673f1RSa+WdG6427mSTu6tRABojl4EIBX0IwDt6mVO2CGSHpL0GTM7QtK1kt4p6UB3vy/c535JB/ZWIlIVI1VhbljvRjj9ytGLxlyMVIW5Yb0b8fQrRz8C0JZeDkeckvQSSZ9w9yMlPaVSvO7uLskbPdjMTjezbWa27aGd8z2UAWDM9a0X7dxZG3ixAEZa1/2o2ItmNROlWADV6WUQtkPSDne/Jly+WFnjecDMDpKk8PXBRg9297PdfZO7b3r22skeysC4Y27YxmVvHwN960Vr13LWDnSPuWHNk64xScGkHvpRsRet0KpoBQOoRtd/cbj7/ZLuNrMXhquOl3STpMslnRquO1XSZT1VCADLoBcBSAX9CEC7ej1P2NslnWdmKyXdIektygZ2F5nZaZLukvT6Hl8DiakiXVlubtiYpD0dGcNtQi8aQ1WkK8vNDRujtKdtY7pN6EcAWuppEObu10na1OCm43t5XgDoBL0IQCroRwDa0WsShjFSTle2n7X8Hs5D3z3YuRFjmPY0xbbAOEktXUmtniqxLTDWzLKv3nAdqKX3a+e+GFkMwkbUIP8ozwdfrQZZjQZpvQ7MtqzbOLaLcADDaKB/lBf/kFn2ftn056kN63TL29dLkp7/nt560dbpzWO7CAeAIO9BocfYRHbZa9748orsz+7apl/Q1z53jiR2oo4zlgIDAAAAgIhIwhKS+t6QdhOw3KAOR0x9OwHDLslDyoqpV2mvc/1y2Mtsq8Ly3uueI0ma32ulJGn3HlM67E+ukyT5iuw6n93ddUlJbicA3WmWrIf+Iq8tvizJJrNTLNnKFYseMrHH6uz6ffeRJD12ZHZu7l3hNCi79zWd9F+Oy+67z6wkqfbEEz2+AQwbkjAAAAAAiIgkLEGdJk7AIORz70geEVV5b3Q59SpetzpLvGxVlmrle51ztcnsMTab7cGe/OFNqu0OyVc+Gb7difSoTD73juRxjLU7/7Osl8/1ksQ9S7tsckLKE7D86157Zi+3796SpJn1+2WXQ9RRm8qeY2pXdvnAi27U/ONPhhvns+eYyv4k97m57mvGUCEJAwAAAICISMJ60O+EIE8enn9htrcvlUQslTrQH50mXCRi6et3QvD5Hd+TJL1mw1HdPUE/UqXyPK/JyYV5F/ne5z32aPy6Ya/5xM7HJUm1x7O5FrXdu5fWRiJWmU4TLhKxMVNIv/LEqZV8FcIFtcKNLT7b5V6QC689kc813WO1LMz58qnstrk1WQJm+VPkz+XZc+17x1PZU933iCRp/smnFuaY5S8/nyVimgjvNSRkGF0kYQAAAAAQEUlYFwaVCDz/wrdKWkicWp0MuRftphvbz9o8tAkYCc7yuknE2JZp6WsiUNj7W0/ArMl+uvIqYaU9uoues8Xe52bpRj4Pw1aG+V6rV0v5daFWn51ddFlhLkU+p8KffGrR5WUNMAEjwVleN4kY23IElc65lX279LpFSr3IJmrh6tLn2Sa0KBWTWn7mrdRv6vO+DthXtYlQT5h3OvH07KLLKx7Jeo49E65/OEvAarueaVxfsR4nARsXJGEAAAAAEBFJWAdipwDlRKxVIlVMztpNr/I0pKycyg2zZu+xaJwTnnIittz2Il1Mw0ASsMJKYPle2kUrEhZ4rcX+u0YrmTWZczUR9gXm89Amw/1WhZXITjriV7OH77lamgt7iMPciXoiNh/2cM/MSFrY25zvJa/PtahYnvgsZ5wTnnIittz2Il0cAaU+UZ/3lc/5NJOHftFsTtiSz3a4mPeuRb1qSZrWJMEv3T9fhdUP2FeSNHfAnpqYCUnXbHjB+kqsoTc98XT2mMeyeakeVmVtmMozH3VskYQBAAAAQERJJGG3Xr+ntqzb2FZiEVPqe/vLc8aKqdVyty1nlBIwNNYs8erk8zeqidjt1++trdOb20osYhrI3v6wAteStMsmZOWdzqU5X+XHLDuFoZyKTbS3ytmJhx2TPXzv8Pj5Qg15AlYL14VVxOp7m/O94+W5auxpTkqzxKuTzx+J2PCzqcL5tySpPt9qUpZ/xvPr8s92Pk8rT8jC/fJPeHnOVcNUP6TtuWaJua3OVkLM54HZfG2hB4XrJnaHhGt3Ngcsn49aC+l8Xne9Lu9g1UaMLJIwAAAAAIgoiSQs186clJh1xNDOPK5mqyXe/oZPLr7jG7IvW9ZtXPJc5Xll+XvsNjEbFaOW5MQ2qolYO3NSYtbRFw3mfkmSTYX/DUws7JPLE6UlcyjC5fIe48/ffY0kqVaaY7H1uccsXd2stOLY1kNfnj1nPvcj38O9OtSV70GWpHwvcm3x3DB/JswFC3uhhzEBI8npDYnYECj3oHzuV34uwPw8XHkiZhPyp7O5VXnStUSegIXP+JI0K//sT65cSNry1w0rr9blvWp2btH9tCqs0Bqee/KJmYXHhJ5jYb6q5+ckzOsmAcMySMIAAAAAIKKkkrBcVYlYjL35yyVPrd9vq9uba5amjXLyVf55jmpqk4J8204eVG0d/VZVIhZjb349Acv39oYkzJ+Z0WV3fVeSNN/mntpyAlbnNUlhr3OD+R7FOizfQ5zXU55LNj+/MC8s7F0uz7eo72VObA9z+edJajM4+bbdb33FhWBBeRXEPHHKU/E8AVsZ5oaFnlB7/Al5+Iw3PK9WdkPp8jL3mwzPnydgee8JSVf++vlzeOhZPlHKK+bmF1ZonQlzwJ7IErA8la8nYM2SOUAkYQAAAAAQVZJJWC5WIhYzAWuWPPXzPV5x73VN39MoJ1+tkIChW7ESsYHMAcsvllYgsz32WHR7Pofh0ju/o9ny3uUuff7ua/TaQ16WXchXFpta/L+dfC+0l/cQl/d8e61pAtZ0L3miSMAwFprNQw29x/Lka7/s/Fuen9vr4UckSbWnnl6Y/9kjr7nqHTF/3RUrFtVZ2yf0xPnQT/KpaXNLE/Z6ApafByyc/ys/Z2HTnsQ5wVCQ9CAsV/zjuZ+DlVEbfDV6XgYeQP8U/3ju54AsygIc+eBr5eJDb/KllC+74zuS1LcBWO6LP8kObXzVCxovwOGzYTGN/NCg/LDI/I+v/OSmXltYMGS5ye4A0pD3oHzhDVu8GJDtvZckqbZ3tgT8xIM/kyTNh57U18+11+oDpYnyQCjvjbvCKS7y3rgiHDIdBmH5wEvz8/W+WR98zS70qeXrYPCFBRyOCAAAAAARDUUSVtSPQxRHOQHLkYChlVROCTGs+nGI4kATsPLe57DXOT/xqD+VHX54+a3/JkmaHdAe2lcefHT2uvlq0PmS0vUTn4bEK6RaXlomOp/Y7nNzJGAjKpVTQqBP8hPBh0V2JkoLb2jtAZKkuf2yw/+mHg7Luj/6mKTiydb72JNsol5HPY3Pl72fy++SfVNfbn53eB+7wuIgeRK/65nOEzCgAZIwAAAAAIho6JKwXKd78WMlQ1UnYBIpGBBTp3vxYy3KkCdgC0u+h7lWIQH74g1XSZJmPCx20WyZ+R685rlHazLM98iXo67vOc7VJ7DniVe4nKdexUSM+RbA8MhT7TyVD3PB8qXf6wnYAw9lX+snW+//53hi5QrZvvssqke7nsm+1hOx+UV120yYIxbqyk8c3TCVLyMZQxtIwgAAAAAgoqFNwnKtErFxSsAAVKdVIhYtAZtYnIDl8zIUlnW/7OZvZhcHmIBNhP17EytXLCRxZfme5PJKZfmcsXzORaP5X/l9We4ZSItZYUXW8NnPT0sRTkdhj2crC9Ye3pl9rSdgA0iPrLAsfj4nraS+Qmut9Pp5ApafMDqfqzY/v7QvhSMNmp48unzyeUAkYQAAAAAQ1dAnYblyIkYCBqAK5UQs+ol589URw17ofO/twiqIg0vAGsr3DNf3HC9OvOp389JcsHZWQCQBA9LQKOnJU6hwbkJ/JiRKTzwpqUECNsjP84Qt9JzwOvmJleuvW6qnPh+1nRUQmyVgzS4D6jEJM7N3m9mNZnaDmZ1vZqvN7BAzu8bMtpvZhWb1hYkBYCDoRQBSQT8C0I6uB2Fmtl7SOyRtcvcXSZqUdIqkD0s6y90PlfQzSaf1o9B2bVm3MWoKdui7r26aggEYvFR70dbpzXFTMJtYmJegLAHz+Xn53Jx8bk6zPq9Zn1ct/BfFxESWgNW8Xo9qNalWk7sv+qf5+fpcC695tme50d5l9igjYan2o6hKvUhzc9m/mRlpZka+e3d2zq38Mz6Iz7VZ+BdqMZPma9J8Tf7MTJbK5XWF3pPX47Nz2b/QO+vXh960qD/ltZf/AW3odU7YlKQ9zGxK0p6S7pN0nKSLw+3nSjq5x9cAgFboRQBSQT8C0FLXc8Lc/R4z+4ikn0raJelrkq6V9Ki75yeC2SFpfc9VDiHmgiF1o/I7Si9qIuyN/eId/yFJmq1i52yttnCuoPm8rFIh5fPsNJt3wd7lkdXuOfaGwdj3I1u6b9/D+bdq4bxcTc+t1U/1VQkL14Xzk9lEOGdiab5qeV5q/fp2exTQoV4ORzxA0qslHSJpnaS9JJ3QweNPN7NtZrZtVjPdlgFgzNGLAKSil35ELwLGSy+rI/6KpDvd/SFJMrNLJR0jaX8zmwp7fKYl3dPowe5+tqSzJWlfWzNUuzhbrYgIIKqx7UWL1FcYy3b95qsiRpv/1cTCymL5qoiLVz1sulec5AvDqet+NBK9yGv1HlRPlMI5/8qf/Y50e07A4sqL+eqMc6VVD/MVWZv0qIb10p/QB73MCfuppM1mtqeZmaTjJd0k6ZuSXhfuc6qky3orEQCWRS8CkAr6EYC2dD0Ic/drlE0y/YGkH4XnOlvSGZL+wMy2S1or6VN9qBMAGqIXNWZTU7KpKU2E/6rg87X6CmP11Rrzf0tWGWuwGiIwZMauH+WrEBbUP9u5lSuklStkkxOyyYmlqye2o8dVB/2ZGfnMbvnM7ux8YLtnC72plp0zrLxKYvl9FGsB+qCnkzW7+wckfaB09R2SXtrL8wJAJ+hFAFJBPwLQjp4GYWguP1fZqKxAB2DIhL21rzz4aEnSpXd+p4IaalJtYuH78m0Ahksp9Wp4l8nJ7JuJUtq1YkX2dfdsn4tqUz73a/fu7HKTOWpRVm8ExCAMGDvsGBhiy/wBlP/hYytXZl9XrVp0+2R4bPS/L0pL1LccfHGoz9gYpaXpx47ly73bkuttRfanpe21V3bdPtlXC4Mg27VLkuTziqfYV/LBYb5gSNPHNDhZPNBH1UwUAAAAAIAxRRIGAMOmwV5omwrtPCRe9WWYw6E38xH34i5aFp9De4DRlfeikH6pVltI4UN/sl3Z0vC1p3ctfmzkZMnrJ2Hu8PDD+omfu1wmH2iCJAwAAAAAIiIJA4BhUd8jG76E+V+q1RbmOeSTz/MkrMIkymsum+CkzMDIqH9e8zQpzEXdc4+F2yfCwhx5L5oJJ0nOL1fQk3x2LlseXwsnZV5SR6s5YPQq9BlJGAAAAABERBLWhUPfna3otP2szfXvm2GpegB9l++xzVdEXLVqYdnl/C6zc4vu+5rp7BRFsVek8ybLQAMYYr74c12fB7ZyhbTrmeymmawH1fLLpZ4UtU4tJGB5QgdUjSQMAAAAACIiCetBqxQMAAZp4aSjtfr8sNqTT1VYUYnX6qunLVzHvApgVORJt4eVD61Wk/ZYnV331NPZnVJYIdVryuevLb5OS3sUEAm/eQAAAAAQEUkYMCaYlziCCnuYfVe2J7p+Lpx8L29qyZPZ4sup1YeBiz0vERHUVz6sSY8/kX0fkvpkexIJGCrGbyAAAAAAREQSBgDDJj/Pzdzsoq/F25LRbCW01OoE0LlalnLVng7zv/KvKiRg9SsqPmehNTtXISu3ohokYQAAAAAQEUkYMATy+Vz5eecASemnScU5F+W9zfncsNTfAxbJ53Ntnd5ccSVIST31somln/UEPuM2OSlNhJ5TPk1Y3qdIxBAZSRgAAAAAREQSFkmeYLBCXWcaba9RT4P4HcEg5QlGrBXqLOx99lrY51cr74YeDo2216inQaxiiLblaZen+/m2kL57PfkKc2lZJREV4TcPAAAAACIiCUNSxjEF6uQ9dzM3bBy3KRLhtZR3jC9rHFOgTt5zN3PDxnGbIh0+N5d9zc+vOATpHUYbgzBUopeBwbAuUtHPwdCwbgOMsQQm5zfSy8BgWBep6OdgaFi3AcaM1wqDLxbgQBo4HBEAAAAAIiIJi6ycXIzLoWLj8j6LYrxnEjF0q5xcjMuhYuPyPotivGcSMaSsnoIBCSEJAwAAAICISMIqNg5L1w/qvaWUAlX98yu/fgrbBMMl9tL1VRjUe0spBar651d+/RS2CWATRhqG5JCEAQAAAEBEJGGJ2LJuY+VpSr+N2vsZJmx7dGvr9Ob+pSnuUjhBav1rBaskVp0OjTO2PVLg8/MLJ2Wun6yZpelRLZIwAAAAAIiIJCwhvc7j6Sb9IDEBUNbrPJ5F6UebyReJCYCBcSf5QnJaJmFm9mkze9DMbihct8bMrjSz28LXA8L1ZmZ/a2bbzex6M3vJIIsHMF7oRwBSQC8C0Kt2krBzJH1c0j8VrnufpKvc/UNm9r5w+QxJJ0o6LPw7StInwtfKpLSCXrc6TavGLd0ahZ8x2naOhrQfpbSCXrc6TavGLd0ahZ8x2naOhrQXAUhDyyTM3f9N0iOlq18t6dzw/bmSTi5c/0+euVrS/mZ2UJ9qBTDm6EcAUkAvAtCrbueEHeju94Xv75d0YPh+vaS7C/fbEa67T5GV06BBpyXjlj4BCUm6H5XToEGnJeOWPgEJSboXAUhLz6sjurtL6njNYTM73cy2mdm2Wc30WgYAdNWP6EUA+o1eBKCVbpOwB8zsIHe/L0TqD4br75G0oXC/6XDdEu5+tqSzJWlfW9O3E8e0SqRIrEYXc8PGVk/9aFC9qFUiRWI1upgbNraS7EUA0tRtEna5pFPD96dKuqxw/W+FlYA2S3qsEM0DwCDQjwCkgF4EoG0tkzAzO1/SsZKeZWY7JH1A0ockXWRmp0m6S9Lrw92/LOkkSdslPS3pLQOoeRGSrfRtWbeRnxP6IuV+RLKVvq3Tm/k5oS9S7kUAhkPLQZi7v7HJTcc3uK9LeluvRQFAI/QjACmgFwHoVbdzwpKRz/8haUkPc7MwTvL5PyQt6WFuFgAgNUM/CGPwlZ5Gg6+Yg2UW6EAVGHylp9HgK+ZgmQU6AADN9LxEPQAAAACgfQzCENWWdRtJqABUbuv0ZhIqAEBlGIQBAAAAQERDOyeMuWDpSS3hYm4YYmAuWHpSS7iYGwYAKCMJAwAAAICIhi4JIwFLTzdJE6cWwLAjAUtPN0kTpxYAAFSBJAwAAAAAIhqaJIzEJD39mGsVIxFjbhj6icQkPf2YaxUjEWNuGAAgRxIGAAAAABENTRKGdJAoAUgBiRIAYFiRhAEAAABAREkMwl7w4qeXnRPEfLA0bFm3cWAp2CCfG2jX81/85LJzgpgPloat05sHloIN8rkBAMglMQgDAAAAgHGR1JwwEi8McrVEVklEu0i8MMjVElklEQBAEgYAAAAAESWVhCFNJEcAUkByBAAYFSRhAAAAABARgzAsq6oUbJCrJV5x73XMPwSGTFUp2CBXS7xkx9XMPwSAMcXhiGgolUMQB7lQRydY1AOoRiqHIA5yoY5OsKgHAIwGkjAAAAAAiIgkDIuMQ9LTzXtslshVebhmUdVJIdBv45D0dPMemyVyVR6uWVR1UggAw4IkDAAAAAAiIgmDpPQTsFTmhuUa1ZNajcAwSj0BS2VuWK5RPanVCABYiiQMAAAAACIiCcNQ2bJuY9dJUzdpX7PXKq+W2GjZe5IxYHRtnd7cddLUTdrX7LXKqyU2WvaeZAwA0kMSBgAAAAARkYSNudTngnWjH++p0/SqUULX6UqK3SRmpGwYFanPBetGP95Tp+lVo4Su05UUu0nMSNkAoDMtkzAz+7SZPWhmNxSu+2sz+7GZXW9mnzez/Qu3nWlm283sFjPbMqC6AYwZehGAVNCPAPTK3H35O5i9XNKTkv7J3V8Urvs1Sd9w9zkz+7AkufsZZna4pPMlvVTSOklfl/QCd59f7jU2HbHav3fFhp7fDNo3CglYeV5WP56rW8UauknR2tVoLlpKJg/afq27bxrEc8foRUcesdK//ZUDB1E+mhiFBKw8L6sfz9WtYg3dpGjtajQXLSX7rd8xsF4kDb4f7Wtr/Cg7flDlA4jk635x017UMglz93+T9Ejpuq+5+1y4eLWk6fD9qyVd4O4z7n6npO3Kmg4A9IReBCAV9CMAverHnLDflnRh+H69ssaT2xGuQyJGIQHLdfpeGiVng0iSynW1eo1O5o6N0s9vAOhFQ2QUErBcp++lUXI2iCSpXFer1+hk7tgo/fwGhH4EYFk9rY5oZu+XNCfpvC4ee7qZbTOzbQ/tXPYIIQBYVr960c6dtf4XB2CsdNuPir1oVjODKQ5AMrpOwszszZJeIel4X5hYdo+k4uSu6XDdEu5+tqSzpWxOWLd1oD3jnKC0WrWwX6/RbBt3On+reL9x/rm1q5+96MgjVtKLBmycE5RWqxb26zWabeNO528V7zfOP7dO9NKPir1oX1tDLwJGXFdJmJmdIOm9kl7l7k8Xbrpc0ilmtsrMDpF0mKTv9V4mACxFLwKQCvoRgE60TMLM7HxJx0p6lpntkPQBSWdKWiXpSjOTpKvd/a3ufqOZXSTpJmVR/NtarUaGwRrnJCXmyoHtbOduVjRsNl8stVURY6AXDbdxTlJirhzYznbuZkXDZvPFUlsVMRb6EYBetRyEufsbG1z9qWXu/xeS/qKXogCgjF4EIBX0IwC96sfqiEBSUkvAWj2ml2QMQLpSS8BaPaaXZAwA0BkGYSNqnA5DHPaByTgfYojRN06HIQ77wGTcDzEEgJh6WqIeAAAAANAZkrARNE4pWFUGsY1JxDBqxikFq8ogtjGJGAAMHkkYAAAAAETEIAxDb8u6jdHSvxivRZIJDKet05ujpX8xXoskEwAGh0EYAAAAAETEnDCgDbHTqV6WsQcwumKnU70sYw8AaI4kDAAAAAAiMnevugaZ2UOSnpL0cNW1NPAsUVcnqKszo1bX89z92f0uJhZ6UVeoqzPU1Rl6UXpG7Xdl0KirM6NWV9NelMQgTJLMbJu7b6q6jjLq6gx1dYa60pPqe6euzlBXZ6grPam+d+rqDHV1Zpzq4nBEAAAAAIiIQRgAAAAARJTSIOzsqgtogro6Q12doa70pPreqasz1NUZ6kpPqu+dujpDXZ0Zm7qSmRMGAAAAAOMgpSQMAAAAAEZeEoMwMzvBzG4xs+1m9r6KathgZt80s5vM7EYze2e4fo2ZXWlmt4WvB1RU36SZ/aeZfSlcPsTMrgnb7EIzW1lBTfub2cVm9mMzu9nMjk5he5nZu8PP8AYzO9/MVlexvczs02b2oJndULiu4faxzN+G+q43s5dEruuvw8/xejP7vJntX7jtzFDXLWa2ZVB1pSCFXhTqSLYf0Ys6qiuJXhRqSa4f0Yuaoxe1VVtyvSjUkVw/ohd1VdPAe1HlgzAzm5T0d5JOlHS4pDea2eEVlDIn6Q/d/XBJmyW9LdTxPklXufthkq4Kl6vwTkk3Fy5/WNJZ7n6opJ9JOq2Cmj4m6avu/vOSjgj1Vbq9zGy9pHdI2uTuL5I0KekUVbO9zpF0Qum6ZtvnREmHhX+nS/pE5LqulPQid3+xpFslnSlJ4TNwiqRfDI/5v+EzO3IS6kVS2v2IXtSGxHqRlGY/alQTvYhe1K4Ue5GUWD+iF3Vd0+B7kbtX+k/S0ZKuKFw+U9KZCdR1maRflXSLpIPCdQdJuqWCWqaV/VIeJ+lLkkzZCeOmGm3DSDXtJ+lOhXmFhesr3V6S1ku6W9IaSVNhe22pantJOljSDa22j6S/l/TGRveLUVfpttdIOi98v+jzKOkKSUfH/JlG/N1JsheFWpLoR/SijupKqheF10uuH9GLGr5velHrOpLrReF1k+tH9KLuairdNpBeVHkSpoVfjtyOcF1lzOxgSUdKukbSge5+X7jpfkkHVlDSRyW9V1ItXF4r6VF3nwuXq9hmh0h6SNJnwuEA/2hme6ni7eXu90j6iKSfSrpP0mOSrlX12yvXbPuk9Dn4bUlfCd+nVNegJfleE+tHHxW9qC1D0Iuk9PsRvSiTxHulF7UluX5EL+qLgfSiFAZhSTGzvSVdIuld7v548TbPhrxRl5M0s1dIetDdr435um2YkvQSSZ9w9yMlPaVSvF7R9jpA0quVNcJ1kvbS0og5CVVsn1bM7P3KDj85r+pakFY/ohd1Zph6kZReP6IXpYVe1Lbk+hG9qDeD7EUpDMLukbShcHk6XBedma1Q1mTOc/dLw9UPmNlB4faDJD0YuaxjJL3KzH4i6QJl0fvHJO1vZlPhPlVssx2Sdrj7NeHyxcoaT9Xb61ck3enuD7n7rKRLlW3DqrdXrtn2qfxzYGZvlvQKSW8KTTCJuiJK6r0m2I/oRZ1JvRdJifYjelFa75Ve1JEU+xG9qEuD7kUpDMK+L+mwsErLSmWT3S6PXYSZmaRPSbrZ3f+mcNPlkk4N35+q7HjoaNz9THefdveDlW2bb7j7myR9U9LrKqzrfkl3m9kLw1XHS7pJFW8vZXH7ZjPbM/xM87oq3V4FzbbP5ZJ+K6wEtFnSY4VofuDM7ARlh3a8yt2fLtV7ipmtMrNDlE2O/V6suiJLohdJafYjelHHUu9FUoL9iF4kiV60rFR7UagtxX5EL+pClF7Uj8lsvf6TdJKylUdul/T+imp4mbL483pJ14V/Jyk7zvgqSbdJ+rqkNRVup2MlfSl8/3Phh75d0uckraqgno2StoVt9gVJB6SwvST9L0k/lnSDpH+WtKqK7SXpfGXHX88q2zt2WrPto2xS8d+Fz8CPlK1iFLOu7cqOcc5/9z9ZuP/7Q123SDox9s8z8u9O5b0o1JF0P6IXtV1XEr0o1JJcP6IXLbtt6EXt1ZdULwp1JNeP6EVd1TTwXmThyQAAAAAAEaRwOCIAAAAAjA0GYQAAAAAQEYMwAAAAAIiIQRgAAAAARMQgDAAAAAAiYhAGAAAAABExCAMAAACAiBiEAQAAAEBE/x/ssTCd4iIqzwAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(128, 128, 3)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "for i in range(10):\n",
+ " plot_predicted_data(generator, collected_routes, \"Test\", i)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "predicted = predicted_test\n",
+ "seed = 1\n",
+ "\n",
+ "plt.figure(figsize=(17.5, 25))\n",
+ "\n",
+ "plt.subplot(1, 4, 1)\n",
+ "plt.imshow(collected_routes[seed, :, :, 0] * 2 + collected_routes[seed, :, :, 2], interpolation=\"nearest\")\n",
+ "plt.subplot(1, 4, 2)\n",
+ "plt.imshow(collected_routes[seed, :, :, 0] * 2 + predicted[seed, :, :] / predicted[seed, :, :].sum() * 100, interpolation=\"nearest\")\n",
+ "plt.subplot(1, 4, 3)\n",
+ "plt.imshow(predicted[seed, :, :], interpolation=\"nearest\")\n",
+ "plt.show()"
]
},
{
@@ -3720,6 +4092,20 @@
"[5] Keras: *Keras* Available: https://keras.io/"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "pycharm": {
+ "name": "#%%\n"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "plt.imshow(predicted[seed, :, :] / predicted[seed, :, :].sum(), interpolation=\"nearest\")\n",
+ "plt.show()"
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {
@@ -3768,7 +4154,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.10.2"
+ "version": "3.10.5"
},
"toc": {
"base_numbering": 1,
|