{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Project-1: Cats and Dogs Classifier using Logistic Regression\n", "\n", "In this project we'll be building a `Dog and Cat classifier` from scratch using `Logistic Regression` from `scikit-learn` library. For some supplementary information about this project, refer to the 4th article of [Demystifying Machine Learning](https://swayam-blog.hashnode.dev/series/demystifying-ml) series.\n", "\n", "In this tutorial we'll be more focussing towards\n", "\n", " - How to gather data ?\n", " - How to pre-process data for training purpose\n", " - How to label the images as `cat` or `dog` for training purpose\n", " - How to create training and testing sets\n", "\n", "And in the last we'll use our pre-processed data to train our logistic regression model. I'll show you how easy it is to train machine learning algorithms using `scikit-learn` library which already contain wrappers for many ML algorithms.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Important packages\n", "- `requests`: for downloading the compressed (zipped) dataset.\n", "- `zipfile`: for extracting the dataset.\n", "- `os`: for getting path and file names from system\n", "- `PIL`: for applying image transformations on images\n", "- `matplotlib`: for displaying images and graphs\n", "- `numpy`: for array manipulations\n", "- `sklearn`: library containing wrappers for ML algorithms\n", "- `seaborn`: for plotting heatmaps" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "id": "mpXi3qKNWU0z" }, "outputs": [], "source": [ "# importing useful libraries\n", "\n", "import requests\n", "import zipfile\n", "import os\n", "from PIL import Image\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.metrics import confusion_matrix\n", "import seaborn as sns\n", "\n", "np.random.seed(42)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Helper functions\n", "Below are some helper functions for this notebook to make some work easier.\n", "\n", "- `download`: to download the compressed version of dataset directly from this notebook\n", "- `extract_zip`: to extract the zipped file\n", "- `center_crop`: to crop any image from center about the given size" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "id": "S4HH1ZyFWcsk" }, "outputs": [], "source": [ "def download(url, file_name):\n", " \"\"\"\n", " Downloads the dataset for project\n", " input:\n", " url (string): url for dataset\n", " file_name (string): file name in which downloaded dataset will be stored\n", " \"\"\"\n", " response = requests.get(url, stream=True)\n", " if response.status_code == 200:\n", " with open(file_name, 'wb') as f:\n", " f.write(response.raw.read())" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "id": "dSfPWqNetgSq" }, "outputs": [], "source": [ "def extract_zip(s_path, d_path):\n", " \"\"\"\n", " Extract (unzip) the compressed dataset for working\n", " input:\n", " s_path (string): path of zipped dataset\n", " d_path (string): path to store the unzipped dataset\n", " \"\"\"\n", " with zipfile.ZipFile(s_path, 'r') as zip_ref:\n", " zip_ref.extractall(d_path)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "id": "lIvBMUB9wqR2" }, "outputs": [], "source": [ "def center_crop(image_path, size):\n", " \"\"\"\n", " crop the image from center of the given size\n", " input:\n", " image_path (string): Path of image\n", " size (int): size to which the image being cropped from center\n", " \"\"\"\n", " img = Image.open(image_path)\n", " img = img.resize((size+1,size+1))\n", " x_center = img.width/2\n", " y_center = img.height/2\n", " size = size/2\n", " cr = img.crop((x_center-size, y_center-size, x_center+size, y_center+size))\n", "\n", " return cr" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.1 downloading and extracting dataset" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 307 }, "id": "3PR5uBZXtI2y", "outputId": "feb5393d-af1b-41f5-c4d0-9cdb90b401f3" }, "outputs": [], "source": [ "download(\"https://s3.amazonaws.com/content.udacity-data.com/nd089/Cat_Dog_data.zip\", \"images.zip\")" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "id": "xlkSS_TWt0hg" }, "outputs": [], "source": [ "extract_zip(\"images.zip\", \"images\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Dislpaying an image just for verification of dataset\n", "\n", "- `Image.open()`: takes the path of image and gives an `JpegImageFile` object, through which we can plot it\n", "- `plt.imshow()`: takes that `JpegImageFile` object and plot the image as a graph" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "id": "GLO-jtPnud2e" }, "outputs": [ { "data": { "text/plain": [ "('JPEG', PIL.JpegImagePlugin.JpegImageFile)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "img = Image.open(\"./images/Cat_Dog_data/train/cat/cat.0.jpg\")\n", "img.format, type(img)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "id": "67QnAbZiwCPB" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.imshow(img)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4. Grabbing all the names of cats and dogs images\n", "In this section, we take all the names of cats and dogs images and save them into two separate lists.\n", "\n", "`os.listdir()` function takes the path of folder and returns a list containg the names of lists and directories inside that folder.\n", "\n", "Here we are taking the name of all images from the training images of cats and dogs.\n", "> Training images are inside the folder `Cat_Dog_data/train`" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "id": "45-2ndV3t3mn" }, "outputs": [], "source": [ "cat_list = os.listdir(\"./images/Cat_Dog_data/train/cat\")\n", "dog_list = os.listdir(\"./images/Cat_Dog_data/train/dog\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We are only taking 5000 images from each category for training for tutorial purpose and reducing the computation time. You can take all if you want.\n", "\n", "> You may not feel good when taking entire data, because logistic regression is not that good with such large number of features. In future we'll learn Neural networks that will give remarkable results even with much large number of features" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "id": "66dgUnLyEdbv" }, "outputs": [], "source": [ "cat_list = cat_list[:5000]\n", "dog_list = dog_list[:5000]" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "id": "DEiCmzoxwYQm" }, "outputs": [ { "data": { "text/plain": [ "(5000, 5000)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(cat_list), len(dog_list)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we are creating a new list to contain the names of both cats and dogs so that we can shuffle them instead of keeping cat images in top and dogs in bottom\n", "\n", "- `.extend()` is a `list` method that append itmes of an entire list in the end of another list\n", "- `np.random.shuffle()` takes the list/array and randomly shuffle it's elements" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "id": "QpcSn59lIAN7" }, "outputs": [], "source": [ "train_list = []\n", "train_list.extend(cat_list)\n", "train_list.extend(dog_list)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "id": "opasS2g4P8IX" }, "outputs": [], "source": [ "np.random.shuffle(train_list)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "id": "2Il_HlYUJ_0w" }, "outputs": [ { "data": { "text/plain": [ "['dog.5906.jpg',\n", " 'cat.8133.jpg',\n", " 'cat.1388.jpg',\n", " 'cat.11968.jpg',\n", " 'cat.5833.jpg',\n", " 'dog.1962.jpg',\n", " 'cat.5248.jpg',\n", " 'dog.2138.jpg',\n", " 'dog.4173.jpg',\n", " 'cat.416.jpg']" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "## shuffled version of `train_list`\n", "train_list[:10]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5. Preparing Training data\n", "In this section we'll use the `train_list` that contains the names of all training images and we convert those images into numpy array because our logistic regression only works on numbers not any `.jpg` file so we store them inside the `train_data` (a numpy array) so that our model can learn from them.\n", "\n", "We had 5000 images of cats and dogs each that means we had total 10,000 images. But all these images have different shapes like height and width, so we need to crop them into a fix size so that our model can easily learn from them by specifying requied weights.\n", "\n", "We are going to crop each image into 100x100 size and since they are RGB images so the final shape of each of our image will be 100x100x3" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Step 1:** we will be creating an array name as `train_data` that will contain all zeros, then later we'll be assigning all the images into each row of this array\n", "\n", "`np.zeros((10000, 100*100*3))`: creates an array of (10000, 30000) shape with all 0s" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "id": "XS88OPqnFLoX" }, "outputs": [], "source": [ "train_data = np.zeros((10000,100*100*3))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Step 2**: iterating through `train_list` and cropping each image from center in 100x100 size, then converting `PIL` object into numpy array and storing it into `train_data`\n", "\n", "- Do not forget to flatten the image using `.reshape(-1)`. So that we can store it into `train_data`. \n", "\n", "> all the 100x100x3 values will act as features and number of images will be total number of samples in dataset." ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "id": "wyNZvIqJFUi1" }, "outputs": [], "source": [ "for i, image_name in enumerate(train_list):\n", " if image_name.split(\".\")[0] == \"dog\":\n", " path = \"./images/Cat_Dog_data/train/dog\"\n", " else:\n", " path = \"./images/Cat_Dog_data/train/cat\"\n", " image_path = f'{path}/{image_name}'\n", " crp_img = center_crop(image_path,100)\n", " crp_arr = np.array(crp_img).reshape(-1)\n", " train_data[i] = crp_arr" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "id": "lCv3RgiaOe4K" }, "outputs": [ { "data": { "text/plain": [ "array([200., 198., 201., ..., 148., 83., 49.])" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_data[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Step 3:**: Scaling array values between 0 and 1 so that our algorithm can converge nicely. \n", "\n", "We know that value of any pixel can range between 0-255 so if we divide all the elements by 255 then it'll scale them between 0-1" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "id": "kervUQruIKXV" }, "outputs": [], "source": [ "train_data = train_data/255" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "id": "zSlUZY4iJAAh" }, "outputs": [ { "data": { "text/plain": [ "array([0.78431373, 0.77647059, 0.78823529, ..., 0.58039216, 0.3254902 ,\n", " 0.19215686])" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_data[0]" ] }, { "cell_type": "markdown", "metadata": { "id": "bhd3BkggPlXa" }, "source": [ "### 5.2 Preparing label data\n", "\n", "Now our training data is ready. The only thing remains is to provide labels for our training set so that our algorithm can learn which image is cat and which one is dog.\n", "\n", "We'll be denoting: \n", "\n", " - `cat` as 0\n", " - `dog` as 1\n", "\n", "We can loop through `train_list` and check if their name contains word `cat` then mark that image as cat otherwise dog" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "for example let's take a sample image:\n", "\n", "**cat.8133.jpg**\n", "\n", "we can see that if we somehow manage to grab the word before 1st '.' and check it for `cat` or `dog` then we can label that specific image\n", "\n", "- `split()`: is a `list` method which takes a character as input and split the string from given character into a string" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "printing the name of some image\n", "-> dog.5906.jpg\n", "Splitting the image from all . characters into a list\n", "-> ['dog', '5906', 'jpg']\n", "selecting the 0th element of splitted list\n", "-> dog\n" ] } ], "source": [ "print(\"printing the name of some image\")\n", "print(\"-> \",train_list[0])\n", "print(\"Splitting the image from all . characters into a list\")\n", "print(\"-> \",train_list[0].split(\".\"))\n", "print(\"selecting the 0th element of splitted list\")\n", "print(\"-> \",train_list[0].split(\".\")[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can use the same above technique to check whether name contains the word `cat` or `dog` and label that sample as 0 and 1 respectively" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "id": "P3wQcGvrPSOH" }, "outputs": [], "source": [ "# cat: 0\n", "# dog: 1\n", "train_labels = np.array([0 if name.split(\".\")[0]==\"cat\" else 1 for name in train_list])" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "id": "tiygNayARITT" }, "outputs": [ { "data": { "text/plain": [ "(10000,)" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_labels.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 6. Training Logistic Regression model\n", "In this section we'll be using `sklearn` library to use `LogisticRegression` for training a model and you'll how easy it'll be\n", "\n", "`LogisticRegression` class lies inside `sklearn.linear_model`, you can learn more about it from the [docs](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html). Now create an instance of it's by passing various hyperparameters like:\n", "\n", "- `max_iter`: number of epochs\n", "- `solver`: which solving algo to use\n", "- `n_jobs`: number of CPU cores to use for parallel computation\n", "\n", "> for tutorial purpose and fast computation I'm setting max_iter = 100, but you can set it to some large value for better result" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "id": "ZzNzusmdRq-E" }, "outputs": [], "source": [ "model = LogisticRegression(max_iter=100, n_jobs=-1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "now just train the model by calling `.fit()` method on model and passing `training_data` and `train_labels`" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "id": "sn-S4FsnRtgi" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/swayam/Desktop/demystifying_machine_learning/venv/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n", "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", "\n", "Increase the number of iterations (max_iter) or scale the data as shown in:\n", " https://scikit-learn.org/stable/modules/preprocessing.html\n", "Please also refer to the documentation for alternative solver options:\n", " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", " n_iter_i = _check_optimize_result(\n" ] }, { "data": { "text/plain": [ "LogisticRegression(n_jobs=-1)" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model.fit(train_data, train_labels)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "you can print the accuracy of your model by calling `.score()` method on model by passing data and labels" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "id": "WHEA5b5sR0es" }, "outputs": [ { "data": { "text/plain": [ "0.7836" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model.score(train_data, train_labels)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Predicting an image to see the result\n", "Let's open a random test image from `Cat_Dog_dara/test` folder and use model to see how its classifying it" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "id": "8nETMYJ3SFUQ" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "test_img = \"./images/Cat_Dog_data/test/cat/cat.10038.jpg\"\n", "img = Image.open(test_img)\n", "plt.imshow(img)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> Note: Before predicting you need to convert the sample testing image into the same size as we used while training images i.e. in 100x100x3" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "id": "m7ECK88VUhVd" }, "outputs": [], "source": [ "im = center_crop(test_img,100) # cropping image\n", "X = np.array(im).reshape(-1) # flattening the image to pass in model for prediction\n", "X = X/255 # scale the pixels in 0-1 range" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "use `.predict()` method on model by passing array of testing image to get the prediction\n", "\n", "if output is:\n", "- 0: cat\n", "- 1: dog" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "id": "rXZtT9tfUn7K" }, "outputs": [ { "data": { "text/plain": [ "array([0])" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model.predict([X])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analyzing results on training data using Confusion matrix\n", "\n", "Confusion matrix tells us how many samples are correctly classified and how many are incorrectly classified.\n", "\n", "We'll be using `sklearn.metrics` to import `confusion_matrix`. `confusion_matrix` takes `preds` and `true labels` as input and returns a matrix." ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "id": "uLd9Bk8SU1EY" }, "outputs": [ { "data": { "text/plain": [ "array([[3964, 1128],\n", " [1036, 3872]])" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_pred = model.predict(train_data)\n", "cm = confusion_matrix(train_pred, train_labels)\n", "cm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "we can better visualize that `confusion_matrix` by a heatmap. `Seaborn` package provide facility to plot heatmaps very easily by passing matrix\n", "\n", "After plotting you can verify it as:\n", "\n", " 0th row and 0th column :- number denotes the samples that are 0 and also predicted as 0\n", " 0th row and 1th column :- number denotes the samples that are 1 and also predicted as 0\n", " 1th row and 0th column :- number denotes the samples that are 0 and also predicted as 1\n", " 1th row and 1th column :- number denotes the samples that are 1 and also predicted as 1" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "id": "k4IaMeKIV5O0" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.heatmap(cm, annot=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Preparing test data to check performance on unseen samples\n", "\n", "Just similar to steps we did for preparing `training data` are going to be taken here too, just the folder for getting image data will be different `Cat_Dog_data/test/`" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "id": "gQ1gKKYqV9pk" }, "outputs": [], "source": [ "test_data_cat = os.listdir(\"./images/Cat_Dog_data/test/cat\")\n", "test_data_dog = os.listdir(\"./images/Cat_Dog_data/test/dog\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "only taking 200 test cat images and 200 test dog images" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "test_data_cat = test_data_cat[:200]\n", "test_data_dog = test_data_dog[:200]" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "test_list = []\n", "test_list.extend(test_data_cat)\n", "test_list.extend(test_data_dog)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "400" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(test_list)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "test_data = np.zeros((400,100*100*3))" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "for i, image_name in enumerate(test_list):\n", " if image_name.split(\".\")[0] == \"dog\":\n", " path = \"./images/Cat_Dog_data/test/dog\"\n", " else:\n", " path = \"./images/Cat_Dog_data/test/cat\"\n", " image_path = f'{path}/{image_name}'\n", " crp_img = center_crop(image_path,100)\n", " crp_arr = np.array(crp_img).reshape(-1)\n", " test_data[i] = crp_arr" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "test_data = test_data/255" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "test_labels = np.array([0 if name.split(\".\")[0]==\"cat\" else 1 for name in test_list])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analyzing results on test data using Confusion matrix" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[109 93]\n", " [ 91 107]]\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "pred = model.predict(test_data)\n", "cm = confusion_matrix(pred, test_labels)\n", "print(cm)\n", "sns.heatmap(cm, annot=True)" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy on test set: 0.54\n" ] } ], "source": [ "test_acc = model.score(test_data, test_labels)\n", "print(\"Accuracy on test set: \", test_acc)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Predicting own custom image\n", "\n", "In this section, we will learn to pass our own custom images of dogs and cats and let the model predict them" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "here we have 2 helper functions:\n", "\n", "- `show_image`: this function takes the path of image as input and display it\n", "- `predict_custom_image`: this function takes `model` and `image_path` as input and returns the predicted value" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [], "source": [ "def show_image(img_path):\n", " img = Image.open(img_path)\n", " plt.imshow(img)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "def predict_custom_image(model, img_path):\n", " crp_img = center_crop(img_path,100)\n", " crp_arr = np.array(crp_img).reshape(1,-1)\n", " pred = model.predict(crp_arr)\n", " if pred == 0:\n", " return \"Cat\"\n", " return \"Dog\"" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "test_img_path = \"test.jpg\" # provide path to your custom image (make sure it's either jpg or jpeg)\n", "show_image(test_img_path)" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Dog'" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "predict_custom_image(model, test_img_path)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion\n", "That's it for this tutorial. I hope you have learnt something new, for more updates on upcoming articles get connected with me through [Twitter](https://twitter.com/_s_w_a_y_a_m_) and stay tuned for more. Till then enjoy your day and keep learning." ] } ], "metadata": { "colab": { "collapsed_sections": [], "name": "project-1.ipynb", "provenance": [] }, "interpreter": { "hash": "35fb7a54e05b09d79da34d04dc483f939be3d86e09234740b2abe9c5da61b6ec" }, "kernelspec": { "display_name": "Python 3.8.10 64-bit ('venv': venv)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 1 }