Google_Collab_Code.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "V28",
      "authorship_tag": "ABX9TyO5QFb+cUlA706in1a9tM3U",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "TPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Kritarth-Dandapat/People-Counting-using-CSRNet/blob/main/Google_Collab_Code.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QQcBfSPSs0n-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3e73857a-9520-4b00-baf6-3ac29fadc9fa"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset URL: https://www.kaggle.com/datasets/tthien/shanghaitech\n",
            "License(s): unknown\n",
            "Downloading shanghaitech.zip to /content\n",
            " 98% 326M/333M [00:03<00:00, 113MB/s]\n",
            "100% 333M/333M [00:03<00:00, 101MB/s]\n"
          ]
        }
      ],
      "source": [
        "!kaggle datasets download -d tthien/shanghaitech"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! unzip shanghaitech.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HsVToPEgmSym",
        "outputId": "af4f2ab4-6654-4c1d-a186-61106f592cd8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  shanghaitech.zip\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dataset_dir_part_A = { \"train\": \"/content/ShanghaiTech/part_A/train_data\",\n",
        "                      \"test\": \"/content/ShanghaiTech/part_A/test_data\" }\n",
        "dataset_dir_part_B = { \"train\": \"/content/ShanghaiTech/part_B/train_data\",\n",
        "                      \"test\": \"/content/ShanghaiTech/part_B/test_data\"}"
      ],
      "metadata": {
        "id": "N__kowigmcLw"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "IN_X,IN_Y=768,1024\n",
        "OUT_X,OUT_Y=96,128\n",
        "SUBSAMPLING_FACTOR=IN_X//OUT_X"
      ],
      "metadata": {
        "id": "LYAUUXa9myy3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "\n",
        "def gauss_distribution(x,u=0,sigma=10):\n",
        "    return np.expand_dims(1/(np.sqrt(2*np.pi*(sigma**2)))*np.exp(-(0.5)*(((x-u)/sigma)**2)),axis=0)"
      ],
      "metadata": {
        "id": "ERBwUJDPsYhm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def get_density_map_gaussian(im, points, gaussian_radius=4):\n",
        "    density_map = np.zeros((OUT_X, OUT_Y))\n",
        "    w, h = OUT_Y, OUT_X\n",
        "    num_gt = len(points)\n",
        "\n",
        "    for point in points:\n",
        "        point = np.round(point).astype(int)\n",
        "        point[0], point[1] = min(h-1, point[1]), min(w-1, point[0])\n",
        "        x = np.linspace(-gaussian_radius, gaussian_radius, (gaussian_radius*2)+1)\n",
        "        gaussian_map = np.multiply(gauss_distribution(x), gauss_distribution(x).T)\n",
        "        gaussian_map /= np.sum(gaussian_map)\n",
        "\n",
        "        x_left, x_right, y_up, y_down = 0, gaussian_map.shape[1], 0, gaussian_map.shape[0]\n",
        "        x_right = gaussian_map.shape[1]  # Initialize x_right with a default value\n",
        "        if point[1] < gaussian_radius:\n",
        "            x_left = gaussian_radius - point[1]\n",
        "        if point[0] < gaussian_radius:\n",
        "            y_up = gaussian_radius - point[0]\n",
        "        if point[1] + gaussian_radius >= w:\n",
        "            x_right = gaussian_map.shape[1] - (gaussian_radius + point[1] - w) - 1\n",
        "        if point[0] + gaussian_radius >= h:\n",
        "            y_down = gaussian_map.shape[0] - (gaussian_radius + point[0] - h) - 1\n",
        "        density_map[\n",
        "            max(0, point[0] - gaussian_radius):min(density_map.shape[0], point[0] + gaussian_radius + 1),\n",
        "            max(0, point[1] - gaussian_radius):min(density_map.shape[1], point[1] + gaussian_radius + 1),\n",
        "        ] += gaussian_map[y_up:y_down, x_left:x_right]\n",
        "    density_map /= np.sum(density_map / len(points))\n",
        "    return density_map\n"
      ],
      "metadata": {
        "id": "wzj96xLXsy5l"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow.keras.preprocessing.image as kpi\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import scipy  # Corrected import for scipy.io\n",
        "\n",
        "# Assuming `dataset_dir_part_B` is a dictionary containing paths\n",
        "train_images_dir = dataset_dir_part_B[\"train\"] + \"/images/\"  # Path to training images\n",
        "train_maps_dir = dataset_dir_part_B[\"train\"] + \"/ground-truth/\"  # Path to ground truth maps\n",
        "\n",
        "IN = 'IMG_1'\n",
        "\n",
        "try:\n",
        "    # Load the image using Keras' load_img with target size for resizing\n",
        "    img = kpi.load_img(train_images_dir + IN + \".jpg\", target_size=(IN_X, IN_Y))\n",
        "\n",
        "    # Convert the image to a NumPy array and handle potential errors\n",
        "    if img is None:\n",
        "        raise ValueError(\"Image not found at specified path.\")\n",
        "    im_array = kpi.img_to_array(img)\n",
        "\n",
        "    # Normalize the image (assuming image channels are BGR for OpenCV)\n",
        "    im_array = im_array.astype('float32') / 255.0  # Normalize to range [0, 1]\n",
        "    im_array[..., 0] = (im_array[..., 0] - np.mean(im_array[..., 0])) / np.std(im_array[..., 0])\n",
        "    im_array[..., 1] = (im_array[..., 1] - np.mean(im_array[..., 1])) / np.std(im_array[..., 1])\n",
        "    im_array[..., 2] = (im_array[..., 2] - np.mean(im_array[..., 2])) / np.std(im_array[..., 2])\n",
        "\n",
        "    # Display the preprocessed image\n",
        "    plt.imshow(im_array)\n",
        "    plt.title(f\"Preprocessed Image: {IN}.jpg\")\n",
        "    plt.show()\n",
        "\n",
        "    # Load the ground truth map (optional)\n",
        "    mat = scipy.io.loadmat(train_maps_dir + \"GT_\" + IN + \".mat\")\n",
        "    # print(mat[\"image_info\"][0][0][0][0][0])\n",
        "    points=mat['image_info'][0][0][0][0][0]\n",
        "    points/=SUBSAMPLING_FACTOR\n",
        "\n",
        "    density_map_present=get_density_map_gaussian(im_array,points,gaussian_radius=5)\n",
        "\n",
        "    plt.imshow(density_map_present)\n",
        "    plt.title(f\"Density Map: {IN}.jpg\")\n",
        "    plt.show()\n",
        "except (ValueError, IOError) as e:\n",
        "    print(f\"An error occurred: {e}\")\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 905
        },
        "id": "F4U0XfaY0eaP",
        "outputId": "47d706b1-b23c-4c0a-af06-97d4b1f40515"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "pHrv1EYX1J_s"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow as tf\n",
        "from tensorflow.keras.preprocessing.image import load_img, img_to_array\n",
        "import os\n",
        "import scipy.io\n",
        "\n",
        "\n",
        "class DataGenerator(tf.keras.utils.Sequence):\n",
        "    def __init__ (self, images, maps, batch_size,SUBSAMPLING_FACTOR=8):\n",
        "\n",
        "        self.images = images\n",
        "        self.maps = maps\n",
        "        self.batch_size = batch_size\n",
        "        self.train_image_list=os.listdir(images)\n",
        "        self.SUBSAMPLING_FACTOR=SUBSAMPLING_FACTOR\n",
        "\n",
        "    def __len__(self):\n",
        "        return 10\n",
        "        # return int(np.floor(len(self.train_image_list)/self.batch_size))\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        x,y = self.__data_generation(idx)\n",
        "        return x,y\n",
        "\n",
        "    def get_density_map_gaussian(im, points, gaussian_radius=4):\n",
        "      density_map = np.zeros((OUT_X, OUT_Y))\n",
        "      w, h = OUT_Y, OUT_X\n",
        "      num_gt = len(points)\n",
        "\n",
        "      for point in points:\n",
        "          point = np.round(point).astype(int)\n",
        "          point[0], point[1] = min(h-1, point[1]), min(w-1, point[0])\n",
        "          x = np.linspace(-gaussian_radius, gaussian_radius, (gaussian_radius*2)+1)\n",
        "          gaussian_map = np.multiply(gauss_distribution(x), gauss_distribution(x).T)\n",
        "          gaussian_map /= np.sum(gaussian_map)\n",
        "\n",
        "          x_left, x_right, y_up, y_down = 0, gaussian_map.shape[1], 0, gaussian_map.shape[0]\n",
        "          x_right = gaussian_map.shape[1]  # Initialize x_right with a default value\n",
        "          if point[1] < gaussian_radius:\n",
        "              x_left = gaussian_radius - point[1]\n",
        "          if point[0] < gaussian_radius:\n",
        "              y_up = gaussian_radius - point[0]\n",
        "          if point[1] + gaussian_radius >= w:\n",
        "              x_right = gaussian_map.shape[1] - (gaussian_radius + point[1] - w) - 1\n",
        "          if point[0] + gaussian_radius >= h:\n",
        "              y_down = gaussian_map.shape[0] - (gaussian_radius + point[0] - h) - 1\n",
        "          density_map[\n",
        "              max(0, point[0] - gaussian_radius):min(density_map.shape[0], point[0] + gaussian_radius + 1),\n",
        "              max(0, point[1] - gaussian_radius):min(density_map.shape[1], point[1] + gaussian_radius + 1),\n",
        "          ] += gaussian_map[y_up:y_down, x_left:x_right]\n",
        "      density_map /= np.sum(density_map / len(points))\n",
        "      return density_map\n",
        "\n",
        "    def __data_generation(self, idx):\n",
        "        x = []\n",
        "        y = []\n",
        "\n",
        "        for j in range(idx*self.batch_size, (idx+1)*self.batch_size):\n",
        "\n",
        "            im_array=img_to_array(load_img(self.images+os.listdir(self.images)[j],target_size=(IN_X,IN_Y)))\n",
        "            im_array/=255.\n",
        "            im_array[:,:,0]=(im_array[:,:,0]-np.mean(im_array[:,:,0]))/np.std(im_array[:,:,0])\n",
        "            im_array[:,:,1]=(im_array[:,:,1]-np.mean(im_array[:,:,1]))/np.std(im_array[:,:,1])\n",
        "            im_array[:,:,2]=(im_array[:,:,2]-np.mean(im_array[:,:,2]))/np.std(im_array[:,:,2])\n",
        "            x.append(im_array)\n",
        "            mat=scipy.io.loadmat(self.maps+os.listdir(self.maps)[j])\n",
        "            points=mat['image_info'][0][0][0][0][0]\n",
        "            points/=self.SUBSAMPLING_FACTOR\n",
        "\n",
        "            density_map_present=get_density_map_gaussian(im_array,points,gaussian_radius=20)\n",
        "            y.append(density_map_present)\n",
        "        return tf.convert_to_tensor(x),tf.convert_to_tensor(y)"
      ],
      "metadata": {
        "id": "L-H87WSksy3u"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_images=dataset_dir_part_B[\"train\"] + \"/images/\"\n",
        "train_maps=dataset_dir_part_B[\"train\"] + \"/ground-truth/\"\n",
        "val_images=dataset_dir_part_B[\"test\"] + \"/images/\"\n",
        "val_maps=dataset_dir_part_B[\"test\"] + \"/ground-truth/\"\n",
        "\n",
        "LR=1e-4\n",
        "BATCH_SIZE=1\n",
        "EPOCH=1000"
      ],
      "metadata": {
        "id": "8_S_TsRAsyJC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_gen = DataGenerator(train_images, train_maps, batch_size=BATCH_SIZE)\n",
        "val_gen = DataGenerator(val_images, val_maps, BATCH_SIZE)"
      ],
      "metadata": {
        "id": "uR10qhiNANvi"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow.keras.applications.vgg16 import VGG16\n",
        "from tensorflow.keras.models import Model\n",
        "\n",
        "INPUT_DIM=96\n",
        "\n",
        "def get_base_model():\n",
        "    base_model = VGG16(\n",
        "        weights='imagenet',\n",
        "        input_shape=(IN_X,IN_Y,3),\n",
        "        include_top=False,)\n",
        "\n",
        "    block4_conv3=[base_model.get_layer(layer_name).output for layer_name in [\"block4_conv3\"]]\n",
        "\n",
        "    return Model(\n",
        "        inputs=[base_model.inputs],outputs=[block4_conv3]\n",
        "    )\n",
        "\n",
        "get_base_model().summary()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CAonooe_ASsF",
        "outputId": "5363abb0-dfd0-4249-d2f7-729e9f610bd1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"model_15\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " input_22 (InputLayer)       [(None, 768, 1024, 3)]    0         \n",
            "                                                                 \n",
            " block1_conv1 (Conv2D)       (None, 768, 1024, 64)     1792      \n",
            "                                                                 \n",
            " block1_conv2 (Conv2D)       (None, 768, 1024, 64)     36928     \n",
            "                                                                 \n",
            " block1_pool (MaxPooling2D)  (None, 384, 512, 64)      0         \n",
            "                                                                 \n",
            " block2_conv1 (Conv2D)       (None, 384, 512, 128)     73856     \n",
            "                                                                 \n",
            " block2_conv2 (Conv2D)       (None, 384, 512, 128)     147584    \n",
            "                                                                 \n",
            " block2_pool (MaxPooling2D)  (None, 192, 256, 128)     0         \n",
            "                                                                 \n",
            " block3_conv1 (Conv2D)       (None, 192, 256, 256)     295168    \n",
            "                                                                 \n",
            " block3_conv2 (Conv2D)       (None, 192, 256, 256)     590080    \n",
            "                                                                 \n",
            " block3_conv3 (Conv2D)       (None, 192, 256, 256)     590080    \n",
            "                                                                 \n",
            " block3_pool (MaxPooling2D)  (None, 96, 128, 256)      0         \n",
            "                                                                 \n",
            " block4_conv1 (Conv2D)       (None, 96, 128, 512)      1180160   \n",
            "                                                                 \n",
            " block4_conv2 (Conv2D)       (None, 96, 128, 512)      2359808   \n",
            "                                                                 \n",
            " block4_conv3 (Conv2D)       (None, 96, 128, 512)      2359808   \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 7635264 (29.13 MB)\n",
            "Trainable params: 7635264 (29.13 MB)\n",
            "Non-trainable params: 0 (0.00 Byte)\n",
            "_________________________________________________________________\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow as tf\n",
        "from tensorflow.keras.layers import Conv2D\n",
        "from tensorflow.keras.layers import Reshape\n",
        "from tensorflow.keras.layers import Conv2DTranspose\n",
        "from tensorflow.keras.layers import Input\n",
        "from tensorflow.keras.initializers import RandomNormal\n",
        "\n",
        "\n",
        "\n",
        "inputs=tf.keras.Input(shape=(IN_X,IN_Y,3))\n",
        "x=get_base_model()(inputs)\n",
        "init=RandomNormal(0.01)\n",
        "x = x[0]\n",
        "\n",
        "x=Conv2D(512, (3,3), activation = 'relu', dilation_rate=2,kernel_initializer=init,padding='same')(x)\n",
        "x=Conv2D(512, (3,3), activation = 'relu', dilation_rate=2,kernel_initializer=init,padding='same')(x)\n",
        "x=Conv2D(512, (3,3), activation = 'relu', dilation_rate=2,kernel_initializer=init,padding='same')(x)\n",
        "x=Conv2D(256, (3,3), activation = 'relu', dilation_rate=2,kernel_initializer=init,padding='same')(x)\n",
        "x=Conv2D(128, (3,3), activation = 'relu', dilation_rate=2,kernel_initializer=init,padding='same')(x)\n",
        "x=Conv2D(64, (3,3), activation = 'relu', dilation_rate=2,kernel_initializer=init,padding='same')(x)\n",
        "x=Conv2D(1, (1,1), activation = 'relu', dilation_rate=1,kernel_initializer=init,padding='same')(x)\n",
        "\n",
        "out=Reshape((96,128))(x)\n",
        "model=tf.keras.Model(inputs=inputs,outputs=out)\n",
        "model.summary()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rBJhyYTVAbbf",
        "outputId": "b3e5624d-51c4-4ad6-cd4e-20ccc87d96a6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"model_17\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " input_23 (InputLayer)       [(None, 768, 1024, 3)]    0         \n",
            "                                                                 \n",
            " model_16 (Functional)       [(None, 96, 128, 512)]    7635264   \n",
            "                                                                 \n",
            " conv2d_25 (Conv2D)          (None, 96, 128, 512)      2359808   \n",
            "                                                                 \n",
            " conv2d_26 (Conv2D)          (None, 96, 128, 512)      2359808   \n",
            "                                                                 \n",
            " conv2d_27 (Conv2D)          (None, 96, 128, 512)      2359808   \n",
            "                                                                 \n",
            " conv2d_28 (Conv2D)          (None, 96, 128, 256)      1179904   \n",
            "                                                                 \n",
            " conv2d_29 (Conv2D)          (None, 96, 128, 128)      295040    \n",
            "                                                                 \n",
            " conv2d_30 (Conv2D)          (None, 96, 128, 64)       73792     \n",
            "                                                                 \n",
            " conv2d_31 (Conv2D)          (None, 96, 128, 1)        65        \n",
            "                                                                 \n",
            " reshape_3 (Reshape)         (None, 96, 128)           0         \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 16263489 (62.04 MB)\n",
            "Trainable params: 16263489 (62.04 MB)\n",
            "Non-trainable params: 0 (0.00 Byte)\n",
            "_________________________________________________________________\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/keras/src/initializers/initializers.py:120: UserWarning: The initializer RandomNormal is unseeded and being called multiple times, which will return identical values each time (even if the initializer is unseeded). Please update your code to provide a seed to the initializer, or avoid using the same initializer instance more than once.\n",
            "  warnings.warn(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def custom_loss(y_true,y_pred):\n",
        "    return tf.sqrt(tf.math.reduce_sum(tf.math.square(y_true - y_pred)))"
      ],
      "metadata": {
        "id": "EnKWn4HGBNwf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "LR = 1e-5\n",
        "model.compile(\n",
        "    optimizer=tf.keras.optimizers.Adam(learning_rate=LR),\n",
        "    loss=custom_loss,\n",
        "    metrics=['mae'],\n",
        "    run_egarly = True\n",
        "    )\n",
        "checkpoint_filepath = 'people_counting/CSRNet.h5'"
      ],
      "metadata": {
        "id": "9F341W3bDp8W"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model_checkpoint_callback = tf.keras.callbacks.ModelCheckpoint(\n",
        "    filepath=checkpoint_filepath,\n",
        "    save_weights_only=True,\n",
        "    monitor='val_loss',\n",
        "    mode='min',\n",
        "    save_best_only=True)\n",
        "\n",
        "history = model.fit(train_gen,validation_data=val_gen,epochs=EPOCH,callbacks=[model_checkpoint_callback])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K-QW9vauD656",
        "outputId": "0b07a119-bb0d-4608-bf79-2c30ebdb5beb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/1000\n",
            "10/10 [==============================] - 58s 6s/step - loss: 55453320.0000 - mae: 292316.0625 - val_loss: 27528682.0000 - val_mae: 102456.7344\n",
            "Epoch 2/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 18195046.0000 - mae: 68298.2422 - val_loss: 9950218.0000 - val_mae: 34676.9609\n",
            "Epoch 3/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 6165315.0000 - mae: 21407.8555 - val_loss: 3669128.7500 - val_mae: 10839.5283\n",
            "Epoch 4/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 2408097.5000 - mae: 6435.7280 - val_loss: 2012401.0000 - val_mae: 4254.2104\n",
            "Epoch 5/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 1370983.3750 - mae: 2472.6909 - val_loss: 1497975.2500 - val_mae: 2482.8677\n",
            "Epoch 6/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 1029404.6250 - mae: 1366.2581 - val_loss: 1292846.8750 - val_mae: 1888.9240\n",
            "Epoch 7/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 895065.3125 - mae: 998.6370 - val_loss: 1185527.5000 - val_mae: 1624.6394\n",
            "Epoch 8/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 808283.9375 - mae: 792.0771 - val_loss: 1115193.0000 - val_mae: 1481.6501\n",
            "Epoch 9/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 748147.6250 - mae: 684.1039 - val_loss: 1060144.0000 - val_mae: 1380.9113\n",
            "Epoch 10/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 697790.1875 - mae: 603.1401 - val_loss: 1015963.3125 - val_mae: 1310.0070\n",
            "Epoch 11/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 652520.8125 - mae: 539.1205 - val_loss: 978478.1250 - val_mae: 1256.1132\n",
            "Epoch 12/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 611274.8750 - mae: 486.6288 - val_loss: 945363.3750 - val_mae: 1213.9012\n",
            "Epoch 13/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 573206.8125 - mae: 441.8364 - val_loss: 916307.3125 - val_mae: 1180.1569\n",
            "Epoch 14/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 539596.2500 - mae: 408.0083 - val_loss: 888201.1250 - val_mae: 1145.9041\n",
            "Epoch 15/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 505114.4062 - mae: 371.3998 - val_loss: 863260.6250 - val_mae: 1117.7581\n",
            "Epoch 16/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 474762.5938 - mae: 341.9644 - val_loss: 838370.8750 - val_mae: 1089.6018\n",
            "Epoch 17/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 444064.8438 - mae: 314.7344 - val_loss: 815679.3125 - val_mae: 1064.5696\n",
            "Epoch 18/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 414389.6562 - mae: 286.5362 - val_loss: 794519.4375 - val_mae: 1040.3719\n",
            "Epoch 19/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 386712.4375 - mae: 263.3298 - val_loss: 776548.5625 - val_mae: 1022.4539\n",
            "Epoch 20/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 358695.5000 - mae: 239.5731 - val_loss: 758598.6875 - val_mae: 1001.9813\n",
            "Epoch 21/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 332429.9688 - mae: 218.9541 - val_loss: 741437.1250 - val_mae: 983.1993\n",
            "Epoch 22/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 305367.1875 - mae: 199.0055 - val_loss: 725748.7500 - val_mae: 965.2418\n",
            "Epoch 23/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 278339.5000 - mae: 178.1591 - val_loss: 711144.5000 - val_mae: 948.3280\n",
            "Epoch 24/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 252444.0312 - mae: 161.7165 - val_loss: 690754.6250 - val_mae: 919.7508\n",
            "Epoch 25/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 226060.5312 - mae: 141.8649 - val_loss: 673285.6250 - val_mae: 892.6699\n",
            "Epoch 26/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 199525.6719 - mae: 124.6621 - val_loss: 658160.0625 - val_mae: 867.2460\n",
            "Epoch 27/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 172900.2969 - mae: 107.6662 - val_loss: 644540.4375 - val_mae: 842.0829\n",
            "Epoch 28/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 146050.1562 - mae: 88.7067 - val_loss: 628952.1250 - val_mae: 809.1095\n",
            "Epoch 29/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 119718.9844 - mae: 70.7377 - val_loss: 621629.0625 - val_mae: 793.5262\n",
            "Epoch 30/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 95075.6562 - mae: 55.2746 - val_loss: 610868.6875 - val_mae: 766.2129\n",
            "Epoch 31/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 69761.3281 - mae: 39.7006 - val_loss: 593587.5625 - val_mae: 732.5975\n",
            "Epoch 32/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 48604.3047 - mae: 26.4651 - val_loss: 561509.1875 - val_mae: 679.1431\n",
            "Epoch 33/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 34777.4922 - mae: 18.2630 - val_loss: 547131.2500 - val_mae: 653.7784\n",
            "Epoch 34/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 21458.0977 - mae: 10.6824 - val_loss: 528428.0625 - val_mae: 621.1993\n",
            "Epoch 35/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 15153.0361 - mae: 6.6870 - val_loss: 511094.0938 - val_mae: 593.4678\n",
            "Epoch 36/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 12171.6553 - mae: 5.1053 - val_loss: 502267.6562 - val_mae: 575.5356\n",
            "Epoch 37/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 9660.3330 - mae: 4.0563 - val_loss: 490622.3125 - val_mae: 557.4940\n",
            "Epoch 38/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 7317.8408 - mae: 2.9936 - val_loss: 485534.2500 - val_mae: 549.4998\n",
            "Epoch 39/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 6096.6509 - mae: 2.3640 - val_loss: 485496.4375 - val_mae: 550.2300\n",
            "Epoch 40/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 5496.3765 - mae: 2.1376 - val_loss: 485561.5000 - val_mae: 551.3186\n",
            "Epoch 41/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 4440.7373 - mae: 1.8262 - val_loss: 484473.2500 - val_mae: 550.3708\n",
            "Epoch 42/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 3966.7625 - mae: 1.5487 - val_loss: 484255.3438 - val_mae: 550.6154\n",
            "Epoch 43/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 3591.3496 - mae: 1.3854 - val_loss: 484626.7500 - val_mae: 551.9918\n",
            "Epoch 44/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 2908.7158 - mae: 1.1259 - val_loss: 485013.5625 - val_mae: 553.2166\n",
            "Epoch 45/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 2542.2375 - mae: 0.9913 - val_loss: 485760.6875 - val_mae: 555.7769\n",
            "Epoch 46/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 2060.6177 - mae: 0.8210 - val_loss: 482528.2500 - val_mae: 554.2323\n",
            "Epoch 47/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 1526.0565 - mae: 0.5958 - val_loss: 473613.7500 - val_mae: 547.0206\n",
            "Epoch 48/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 896.4877 - mae: 0.3467 - val_loss: 469155.9062 - val_mae: 539.4155\n",
            "Epoch 49/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 423.0148 - mae: 0.2000 - val_loss: 467666.5000 - val_mae: 537.0573\n",
            "Epoch 50/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 151.7527 - mae: 0.0621 - val_loss: 466564.5938 - val_mae: 536.3542\n",
            "Epoch 51/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 19.4915 - mae: 0.0117 - val_loss: 463389.6875 - val_mae: 531.0934\n",
            "Epoch 52/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 1.3617 - mae: 0.0051 - val_loss: 461545.0938 - val_mae: 527.8884\n",
            "Epoch 53/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460770.5000 - val_mae: 526.5568\n",
            "Epoch 54/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460499.0938 - val_mae: 526.0890\n",
            "Epoch 55/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460406.1875 - val_mae: 525.9293\n",
            "Epoch 56/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460376.3125 - val_mae: 525.8789\n",
            "Epoch 57/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460367.7500 - val_mae: 525.8651\n",
            "Epoch 58/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460365.4062 - val_mae: 525.8616\n",
            "Epoch 59/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.8438 - val_mae: 525.8609\n",
            "Epoch 60/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 61/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 62/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6562 - val_mae: 525.8607\n",
            "Epoch 63/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 64/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 65/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 66/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 67/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 68/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 69/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 70/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 71/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 72/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 73/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 74/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 75/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 76/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 77/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 78/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 79/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 80/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 81/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 82/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 83/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 84/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 85/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 86/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 87/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 88/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 89/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 90/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 91/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 92/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 93/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 94/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 95/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 96/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 97/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 98/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 99/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 100/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 101/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 102/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 103/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 104/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 105/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 106/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 107/1000\n",
            "10/10 [==============================] - 55s 6s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 108/1000\n",
            "10/10 [==============================] - 55s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 109/1000\n",
            "10/10 [==============================] - 54s 5s/step - loss: 0.9644 - mae: 0.0049 - val_loss: 460364.6875 - val_mae: 525.8607\n",
            "Epoch 110/1000\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Testing"
      ],
      "metadata": {
        "id": "E_peuXnFK7nO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "IN ='...'\n",
        "\n",
        "im_array=img_to_array(load_img(train_image+IN_'.jpg',target_size=(IN_X,IN_Y)))\n",
        "im_array/=255.\n",
        "im_array[:,:,0]=(im_array[:,:,0]-np.mean(im_array[:,:,0]))/np.std(im_array[:,:,0])\n",
        "im_array[:,:,1]=(im_array[:,:,1]-np.mean(im_array[:,:,1]))/np.std(im_array[:,:,1])\n",
        "im_array[:,:,2]=(im_array[:,:,2]-np.mean(im_array[:,:,2]))/np.std(im_array[:,:,2])\n",
        "\n",
        "plt.figure(figsize=(20,12))\n",
        "plt.imhow(im_array)\n",
        "\n",
        "output=mode.predict(tf.expand_dims(im_array,axis=0))\n",
        "output=np.reshape(output,(OUT_X,OUT_Y))\n",
        "\n",
        "n_people=np.sum(output)\n",
        "mat=scipy.io.loadmat(train_maps+'GT_'+IN+'.mat')\n",
        "points=mat['image_info'][0][0][0][0][0]\n",
        "points/=SUBSAMPLING_FACTOR\n",
        "\n",
        "num_gt=np.squeeze(points).shape[0]\n",
        "print(\"The actual number of people is=\",num_gt)\n",
        "print(\"The predicted number of people is =\",n_people)\n",
        "\n",
        "plt.figure(figsize=(20,12))\n",
        "plt.imshow(output)"
      ],
      "metadata": {
        "id": "G96G3qmMExi3"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}