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+{"cells":[{"cell_type":"markdown","metadata":{"id":"LEO272XuOmKC"},"source":["# Next-Frame Video Prediction with Convolutional LSTMs\n","\n","**Author:** [Amogh Joshi](https://github.com/amogh7joshi)<br>\n","**Date created:** 2021/06/02<br>\n","**Last modified:** 2023/11/10<br>\n","**Description:** How to build and train a convolutional LSTM model for next-frame video prediction."]},{"cell_type":"markdown","metadata":{"id":"crkzpIjXOmKD"},"source":["## Introduction\n","\n","The\n","[Convolutional LSTM](https://papers.nips.cc/paper/2015/file/07563a3fe3bbe7e3ba84431ad9d055af-Paper.pdf)\n","architectures bring together time series processing and computer vision by\n","introducing a convolutional recurrent cell in a LSTM layer. In this example, we will explore the\n","Convolutional LSTM model in an application to next-frame prediction, the process\n","of predicting what video frames come next given a series of past frames."]},{"cell_type":"markdown","metadata":{"id":"SLdtFHzmOmKD"},"source":["## Setup"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"UOm_0NRkOmKE","executionInfo":{"status":"ok","timestamp":1711246533592,"user_tz":240,"elapsed":2944,"user":{"displayName":"Yiqiao Yin","userId":"16271867367914268422"}}},"outputs":[],"source":["import numpy as np\n","import matplotlib.pyplot as plt\n","\n","import keras\n","from keras import layers\n","\n","import io\n","import imageio\n","from IPython.display import Image, display\n","from ipywidgets import widgets, Layout, HBox"]},{"cell_type":"markdown","metadata":{"id":"VyMI6jyPOmKE"},"source":["## Dataset Construction\n","\n","For this example, we will be using the\n","[Moving MNIST](http://www.cs.toronto.edu/~nitish/unsupervised_video/)\n","dataset.\n","\n","We will download the dataset and then construct and\n","preprocess training and validation sets.\n","\n","For next-frame prediction, our model will be using a previous frame,\n","which we'll call `f_n`, to predict a new frame, called `f_(n + 1)`.\n","To allow the model to create these predictions, we'll need to process\n","the data such that we have \"shifted\" inputs and outputs, where the\n","input data is frame `x_n`, being used to predict frame `y_(n + 1)`."]},{"cell_type":"code","execution_count":2,"metadata":{"id":"KFDXdhSCOmKE","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1711246597315,"user_tz":240,"elapsed":63329,"user":{"displayName":"Yiqiao Yin","userId":"16271867367914268422"}},"outputId":"50163404-808f-4059-81c5-808251f24f62"},"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading data from http://www.cs.toronto.edu/~nitish/unsupervised_video/mnist_test_seq.npy\n","819200096/819200096 [==============================] - 63s 0us/step\n","Training Dataset Shapes: (900, 19, 64, 64, 1), (900, 19, 64, 64, 1)\n","Validation Dataset Shapes: (100, 19, 64, 64, 1), (100, 19, 64, 64, 1)\n"]}],"source":["# Download and load the dataset.\n","fpath = keras.utils.get_file(\n","    \"moving_mnist.npy\",\n","    \"http://www.cs.toronto.edu/~nitish/unsupervised_video/mnist_test_seq.npy\",\n",")\n","dataset = np.load(fpath)\n","\n","# Swap the axes representing the number of frames and number of data samples.\n","dataset = np.swapaxes(dataset, 0, 1)\n","# We'll pick out 1000 of the 10000 total examples and use those.\n","dataset = dataset[:1000, ...]\n","# Add a channel dimension since the images are grayscale.\n","dataset = np.expand_dims(dataset, axis=-1)\n","\n","# Split into train and validation sets using indexing to optimize memory.\n","indexes = np.arange(dataset.shape[0])\n","np.random.shuffle(indexes)\n","train_index = indexes[: int(0.9 * dataset.shape[0])]\n","val_index = indexes[int(0.9 * dataset.shape[0]) :]\n","train_dataset = dataset[train_index]\n","val_dataset = dataset[val_index]\n","\n","# Normalize the data to the 0-1 range.\n","train_dataset = train_dataset / 255\n","val_dataset = val_dataset / 255\n","\n","\n","# We'll define a helper function to shift the frames, where\n","# `x` is frames 0 to n - 1, and `y` is frames 1 to n.\n","def create_shifted_frames(data):\n","    x = data[:, 0 : data.shape[1] - 1, :, :]\n","    y = data[:, 1 : data.shape[1], :, :]\n","    return x, y\n","\n","\n","# Apply the processing function to the datasets.\n","x_train, y_train = create_shifted_frames(train_dataset)\n","x_val, y_val = create_shifted_frames(val_dataset)\n","\n","# Inspect the dataset.\n","print(\"Training Dataset Shapes: \" + str(x_train.shape) + \", \" + str(y_train.shape))\n","print(\"Validation Dataset Shapes: \" + str(x_val.shape) + \", \" + str(y_val.shape))"]},{"cell_type":"markdown","metadata":{"id":"KsDeIsFNOmKF"},"source":["## Data Visualization\n","\n","Our data consists of sequences of frames, each of which\n","are used to predict the upcoming frame. Let's take a look\n","at some of these sequential frames."]},{"cell_type":"code","execution_count":3,"metadata":{"id":"-bUSUZI-OmKF","colab":{"base_uri":"https://localhost:8080/","height":693},"executionInfo":{"status":"ok","timestamp":1711246598688,"user_tz":240,"elapsed":1375,"user":{"displayName":"Yiqiao Yin","userId":"16271867367914268422"}},"outputId":"aea4386a-5dc8-41f7-a4e7-cd3e6888a761"},"outputs":[{"output_type":"stream","name":"stdout","text":["Displaying frames for example 392.\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x800 with 20 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Construct a figure on which we will visualize the images.\n","fig, axes = plt.subplots(4, 5, figsize=(10, 8))\n","\n","# Plot each of the sequential images for one random data example.\n","data_choice = np.random.choice(range(len(train_dataset)), size=1)[0]\n","for idx, ax in enumerate(axes.flat):\n","    ax.imshow(np.squeeze(train_dataset[data_choice][idx]), cmap=\"gray\")\n","    ax.set_title(f\"Frame {idx + 1}\")\n","    ax.axis(\"off\")\n","\n","# Print information and display the figure.\n","print(f\"Displaying frames for example {data_choice}.\")\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"eBoyo7zmOmKF"},"source":["## Model Construction\n","\n","To build a Convolutional LSTM model, we will use the\n","`ConvLSTM2D` layer, which will accept inputs of shape\n","`(batch_size, num_frames, width, height, channels)`, and return\n","a prediction movie of the same shape."]},{"cell_type":"code","execution_count":4,"metadata":{"id":"4_Z4z62eOmKF","executionInfo":{"status":"ok","timestamp":1711246600221,"user_tz":240,"elapsed":1537,"user":{"displayName":"Yiqiao Yin","userId":"16271867367914268422"}}},"outputs":[],"source":["# Construct the input layer with no definite frame size.\n","inp = layers.Input(shape=(None, *x_train.shape[2:]))\n","\n","# We will construct 3 `ConvLSTM2D` layers with batch normalization,\n","# followed by a `Conv3D` layer for the spatiotemporal outputs.\n","x = layers.ConvLSTM2D(\n","    filters=64,\n","    kernel_size=(5, 5),\n","    padding=\"same\",\n","    return_sequences=True,\n","    activation=\"relu\",\n",")(inp)\n","x = layers.BatchNormalization()(x)\n","x = layers.ConvLSTM2D(\n","    filters=64,\n","    kernel_size=(3, 3),\n","    padding=\"same\",\n","    return_sequences=True,\n","    activation=\"relu\",\n",")(x)\n","x = layers.BatchNormalization()(x)\n","x = layers.ConvLSTM2D(\n","    filters=64,\n","    kernel_size=(1, 1),\n","    padding=\"same\",\n","    return_sequences=True,\n","    activation=\"relu\",\n",")(x)\n","x = layers.Conv3D(\n","    filters=1, kernel_size=(3, 3, 3), activation=\"sigmoid\", padding=\"same\"\n",")(x)\n","\n","# Next, we will build the complete model and compile it.\n","model = keras.models.Model(inp, x)\n","model.compile(\n","    loss=keras.losses.binary_crossentropy,\n","    optimizer=keras.optimizers.Adam(),\n",")"]},{"cell_type":"markdown","metadata":{"id":"GZXFOnAdOmKF"},"source":["## Model Training\n","\n","With our model and data constructed, we can now train the model."]},{"cell_type":"code","source":["import tensorflow as tf"],"metadata":{"id":"psoByGwfPwB7","executionInfo":{"status":"ok","timestamp":1711246610032,"user_tz":240,"elapsed":3,"user":{"displayName":"Yiqiao Yin","userId":"16271867367914268422"}}},"execution_count":6,"outputs":[]},{"cell_type":"code","source":["tf.test.gpu_device_name()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":36},"id":"eYXYYSUAPizU","executionInfo":{"status":"ok","timestamp":1711246610032,"user_tz":240,"elapsed":3,"user":{"displayName":"Yiqiao Yin","userId":"16271867367914268422"}},"outputId":"8eee6739-7432-4055-9b81-e0e11c19c240"},"execution_count":7,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'/device:GPU:0'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":7}]},{"cell_type":"code","execution_count":8,"metadata":{"id":"JdvZBa_XOmKF","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1711249287467,"user_tz":240,"elapsed":2674373,"user":{"displayName":"Yiqiao Yin","userId":"16271867367914268422"}},"outputId":"be0e6f62-28a1-4a33-acb5-7c24c19324ea"},"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/20\n","180/180 [==============================] - 143s 737ms/step - loss: 0.1746 - val_loss: 0.2233 - lr: 0.0010\n","Epoch 2/20\n","180/180 [==============================] - 132s 734ms/step - loss: 0.0911 - val_loss: 0.2662 - lr: 0.0010\n","Epoch 3/20\n","180/180 [==============================] - 132s 736ms/step - loss: 0.0382 - val_loss: 0.1243 - lr: 0.0010\n","Epoch 4/20\n","180/180 [==============================] - 133s 738ms/step - loss: 0.0320 - val_loss: 0.0496 - lr: 0.0010\n","Epoch 5/20\n","180/180 [==============================] - 133s 738ms/step - loss: 0.0289 - val_loss: 0.0337 - lr: 0.0010\n","Epoch 6/20\n","180/180 [==============================] - 133s 739ms/step - loss: 0.0277 - val_loss: 0.0317 - lr: 0.0010\n","Epoch 7/20\n","180/180 [==============================] - 133s 739ms/step - loss: 0.0269 - val_loss: 0.0297 - lr: 0.0010\n","Epoch 8/20\n","180/180 [==============================] - 133s 739ms/step - loss: 0.0266 - val_loss: 0.0269 - lr: 0.0010\n","Epoch 9/20\n","180/180 [==============================] - 133s 740ms/step - loss: 0.0261 - val_loss: 0.0258 - lr: 0.0010\n","Epoch 10/20\n","180/180 [==============================] - 133s 740ms/step - loss: 0.0259 - val_loss: 0.0255 - lr: 0.0010\n","Epoch 11/20\n","180/180 [==============================] - 133s 740ms/step - loss: 0.0257 - val_loss: 0.0254 - lr: 0.0010\n","Epoch 12/20\n","180/180 [==============================] - 133s 741ms/step - loss: 0.0255 - val_loss: 0.0250 - lr: 0.0010\n","Epoch 13/20\n","180/180 [==============================] - 133s 740ms/step - loss: 0.0252 - val_loss: 0.0248 - lr: 0.0010\n","Epoch 14/20\n","180/180 [==============================] - 133s 740ms/step - loss: 0.0250 - val_loss: 0.0248 - lr: 0.0010\n","Epoch 15/20\n","180/180 [==============================] - 133s 741ms/step - loss: 0.0249 - val_loss: 0.0247 - lr: 0.0010\n","Epoch 16/20\n","180/180 [==============================] - 134s 742ms/step - loss: 0.0247 - val_loss: 0.0244 - lr: 0.0010\n","Epoch 17/20\n","180/180 [==============================] - 133s 741ms/step - loss: 0.0247 - val_loss: 0.0246 - lr: 0.0010\n","Epoch 18/20\n","180/180 [==============================] - 134s 742ms/step - loss: 0.0246 - val_loss: 0.0244 - lr: 0.0010\n","Epoch 19/20\n","180/180 [==============================] - 134s 742ms/step - loss: 0.0246 - val_loss: 0.0244 - lr: 0.0010\n","Epoch 20/20\n","180/180 [==============================] - 133s 742ms/step - loss: 0.0245 - val_loss: 0.0245 - lr: 0.0010\n"]}],"source":["# Define some callbacks to improve training.\n","early_stopping = keras.callbacks.EarlyStopping(monitor=\"val_loss\", patience=10)\n","reduce_lr = keras.callbacks.ReduceLROnPlateau(monitor=\"val_loss\", patience=5)\n","\n","# Define modifiable training hyperparameters.\n","epochs = 20\n","batch_size = 5\n","\n","# Fit the model to the training data.\n","with tf.device('/device:GPU:0'):\n","    model.fit(\n","        x_train,\n","        y_train,\n","        batch_size=batch_size,\n","        epochs=epochs,\n","        validation_data=(x_val, y_val),\n","        callbacks=[early_stopping, reduce_lr],\n","    )"]},{"cell_type":"markdown","metadata":{"id":"_FiQlZhpOmKG"},"source":["## Frame Prediction Visualizations\n","\n","With our model now constructed and trained, we can generate\n","some example frame predictions based on a new video.\n","\n","We'll pick a random example from the validation set and\n","then choose the first ten frames from them. From there, we can\n","allow the model to predict 10 new frames, which we can compare\n","to the ground truth frame predictions."]},{"cell_type":"code","execution_count":9,"metadata":{"id":"Er70Wo8EOmKG","colab":{"base_uri":"https://localhost:8080/","height":543},"executionInfo":{"status":"ok","timestamp":1711249291260,"user_tz":240,"elapsed":3795,"user":{"displayName":"Yiqiao Yin","userId":"16271867367914268422"}},"outputId":"1c067df4-0e0e-47ea-868d-86c006a7c7fd"},"outputs":[{"output_type":"stream","name":"stdout","text":["1/1 [==============================] - 1s 878ms/step\n","1/1 [==============================] - 1s 553ms/step\n","1/1 [==============================] - 0s 65ms/step\n","1/1 [==============================] - 0s 67ms/step\n","1/1 [==============================] - 0s 70ms/step\n","1/1 [==============================] - 0s 76ms/step\n","1/1 [==============================] - 0s 79ms/step\n","1/1 [==============================] - 0s 82ms/step\n","1/1 [==============================] - 0s 86ms/step\n","1/1 [==============================] - 0s 91ms/step\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 2000x400 with 20 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Select a random example from the validation dataset.\n","example = val_dataset[np.random.choice(range(len(val_dataset)), size=1)[0]]\n","\n","# Pick the first/last ten frames from the example.\n","frames = example[:10, ...]\n","original_frames = example[10:, ...]\n","\n","# Predict a new set of 10 frames.\n","for _ in range(10):\n","    # Extract the model's prediction and post-process it.\n","    new_prediction = model.predict(np.expand_dims(frames, axis=0))\n","    new_prediction = np.squeeze(new_prediction, axis=0)\n","    predicted_frame = np.expand_dims(new_prediction[-1, ...], axis=0)\n","\n","    # Extend the set of prediction frames.\n","    frames = np.concatenate((frames, predicted_frame), axis=0)\n","\n","# Construct a figure for the original and new frames.\n","fig, axes = plt.subplots(2, 10, figsize=(20, 4))\n","\n","# Plot the original frames.\n","for idx, ax in enumerate(axes[0]):\n","    ax.imshow(np.squeeze(original_frames[idx]), cmap=\"gray\")\n","    ax.set_title(f\"Frame {idx + 11}\")\n","    ax.axis(\"off\")\n","\n","# Plot the new frames.\n","new_frames = frames[10:, ...]\n","for idx, ax in enumerate(axes[1]):\n","    ax.imshow(np.squeeze(new_frames[idx]), cmap=\"gray\")\n","    ax.set_title(f\"Frame {idx + 11}\")\n","    ax.axis(\"off\")\n","\n","# Display the figure.\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"7aso8WxFOmKG"},"source":["## Predicted Videos\n","\n","Finally, we'll pick a few examples from the validation set\n","and construct some GIFs with them to see the model's\n","predicted videos.\n","\n","You can use the trained model hosted on [Hugging Face Hub](https://huggingface.co/keras-io/conv-lstm)\n","and try the demo on [Hugging Face Spaces](https://huggingface.co/spaces/keras-io/conv-lstm)."]},{"cell_type":"code","execution_count":10,"metadata":{"id":"K20bvhqgOmKG","colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["af2c2a54f1584f49a655f2a0a7992086","3f13b2f97d614115a94a57bdcfdc8b38","7199b05c0cb5484f9132490cba48e66d","0b7ecf85ed24418f8bd862b719d313be","be1320ab764f46878c25521dd6c93320","5ad0130837954e09a5e560e3d628e21f","444c570bcb7a4b91b6dfeb3e611337be","7b05856a7a904f66b7ae24a991c35af2","bb369b65e18f4cda9eb57f0c34276649","0c9c564a78e94064ab5f97aba7892420","75442fb0a31548f3bd3d86140b474f89","e6db925feef04882a07eb7f041e2fc33","b62afcaf57514a039fd417f3d29cba74","9f1a8e4fd10c439e8c178a8b7d36212f","58bbe4d9069241bebc5bdda049613b98","64e106abb5a740d391cd866689356bd7","9c3df983c78b4b8b92b2be78cb2d5220","423d28bb608a49c6bf96d58bd92f3a1d","e6729e31683046dba1e7154dcac4ca6c","d95be11f9545441eb1b4db8f6b85e381","8e3686caad4f4dc194c9239ad774735d","b8e4e072f973405d8891a24e41a1c153","1ebcf166a90840af8e69e8e09c2c4a7b","d01cb107235345db82c33bd6b5554c69","3d8a7dee10c045b1be064faffa453eb4","e813baec977e44e693a43ab02e33c940","39b227ee862f42769fd220229be917fc","a8449fffae2343f797caae379c6650c3","67fe2c638bfd4cb8acc27055d53fc1f4","e44cf6acaecf47f4aada71afab76ec51"]},"executionInfo":{"status":"ok","timestamp":1711249296580,"user_tz":240,"elapsed":5323,"user":{"displayName":"Yiqiao Yin","userId":"16271867367914268422"}},"outputId":"681d496f-3100-4b56-be1f-ebe468473d9c"},"outputs":[{"output_type":"stream","name":"stdout","text":["1/1 [==============================] - 0s 32ms/step\n","1/1 [==============================] - 0s 34ms/step\n","1/1 [==============================] - 0s 36ms/step\n","1/1 [==============================] - 0s 39ms/step\n","1/1 [==============================] - 0s 42ms/step\n","1/1 [==============================] - 0s 47ms/step\n","1/1 [==============================] - 0s 46ms/step\n","1/1 [==============================] - 0s 49ms/step\n","1/1 [==============================] - 0s 51ms/step\n","1/1 [==============================] - 0s 95ms/step\n","1/1 [==============================] - 0s 33ms/step\n","1/1 [==============================] - 0s 34ms/step\n","1/1 [==============================] - 0s 36ms/step\n","1/1 [==============================] - 0s 39ms/step\n","1/1 [==============================] - 0s 43ms/step\n","1/1 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Select a few random examples from the dataset.\n","examples = val_dataset[np.random.choice(range(len(val_dataset)), size=5)]\n","\n","# Iterate over the examples and predict the frames.\n","predicted_videos = []\n","for example in examples:\n","    # Pick the first/last ten frames from the example.\n","    frames = example[:10, ...]\n","    original_frames = example[10:, ...]\n","    new_predictions = np.zeros(shape=(10, *frames[0].shape))\n","\n","    # Predict a new set of 10 frames.\n","    for i in range(10):\n","        # Extract the model's prediction and post-process it.\n","        frames = example[: 10 + i + 1, ...]\n","        new_prediction = model.predict(np.expand_dims(frames, axis=0))\n","        new_prediction = np.squeeze(new_prediction, axis=0)\n","        predicted_frame = np.expand_dims(new_prediction[-1, ...], axis=0)\n","\n","        # Extend the set of prediction frames.\n","        new_predictions[i] = predicted_frame\n","\n","    # Create and save GIFs for each of the ground truth/prediction images.\n","    for frame_set in [original_frames, new_predictions]:\n","        # Construct a GIF from the selected video frames.\n","        current_frames = np.squeeze(frame_set)\n","        current_frames = current_frames[..., np.newaxis] * np.ones(3)\n","        current_frames = (current_frames * 255).astype(np.uint8)\n","        current_frames = list(current_frames)\n","\n","        # Construct a GIF from the frames.\n","        with io.BytesIO() as gif:\n","            imageio.mimsave(gif, current_frames, \"GIF\", duration=200)\n","            predicted_videos.append(gif.getvalue())\n","\n","# Display the videos.\n","print(\" Truth\\tPrediction\")\n","for i in range(0, len(predicted_videos), 2):\n","    # Construct and display an `HBox` with the ground truth and prediction.\n","    box = HBox(\n","        [\n","            widgets.Image(value=predicted_videos[i]),\n","            widgets.Image(value=predicted_videos[i + 1]),\n","        ]\n","    )\n","    display(box)"]}],"metadata":{"accelerator":"GPU","colab":{"provenance":[{"file_id":"https://github.com/keras-team/keras-io/blob/master/examples/vision/ipynb/conv_lstm.ipynb","timestamp":1711246359358}],"toc_visible":true,"machine_shape":"hm","gpuType":"T4"},"kernelspec":{"display_name":"Python 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