diff --git a/Jupyter Notebook/malaria-detection_pytorch.ipynb b/Jupyter Notebook/malaria-detection_pytorch.ipynb new file mode 100644 index 0000000..3923153 --- /dev/null +++ b/Jupyter Notebook/malaria-detection_pytorch.ipynb @@ -0,0 +1 @@ +{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Classification of whether an Image of Cell is Infected with Malaria or Not\n\n\nIn this notebook, I will build a Convolution Neural Network ML Model that will be able to predict with a certain amount of accuracy whether or not an image of a cell has been infected with Malaria or not. I will then deploy the final model using Google Cloud Platform's App Engine.\n\n\n### About Malaria:\n\nMalaria is a life-threatening disease caused by parasites that are transmitted to people through the bites of infected female Anopheles mosquitoes. It is preventable and curable.\n\nIn 2017, there were an estimated 219 million cases of malaria in 90 countries.\n\nMalaria deaths reached 435,000 in 2017.\n\nThe WHO African Region carries a disproportionately high share of the global malaria burden. In 2017, the region was home to 92% of malaria cases and 93% of malaria deaths.\n\nMalaria is caused by Plasmodium parasites. The parasites are spread to people through the bites of infected female Anopheles mosquitoes, called \"malaria vectors.\" There are 5 parasite species that cause malaria in humans, and 2 of these species – P. falciparum and P. vivax – pose the greatest threat.\n\n**Diagnosis of malaria can be difficult:**\n\nWhere malaria is not endemic any more (such as in the United States), health-care providers may not be familiar with the disease. Clinicians seeing a malaria patient may forget to consider malaria among the potential diagnoses and not order the needed diagnostic tests. Laboratorians may lack experience with malaria and fail to detect parasites when examining blood smears under the microscope.\n\nMalaria is an acute febrile illness. In a non-immune individual, symptoms usually appear 10–15 days after the infective mosquito bite. The first symptoms – fever, headache, and chills – may be mild and difficult to recognize as malaria. If not treated within 24 hours, P. falciparum malaria can progress to severe illness, often leading to death.\n\n**Microscopic Diagnosis**\n\nMalaria parasites can be identified by examining under the microscope a drop of the patient’s blood, spread out as a “blood smear” on a microscope slide. Prior to examination, the specimen is stained to give the parasites a distinctive appearance. This technique remains the gold standard for laboratory confirmation of malaria. However, it depends on the quality of the reagents, of the microscope, and on the experience of the laboratorian.\n\n\n#### Acknowledgements\n\nThis Dataset is taken from the official US National Library of Medicine's NIH Website: https://ceb.nlm.nih.gov/repositories/malaria-datasets/. It is a repository of segmented cells from the thin blood smear slide images from the Malaria Screener research activity.\n\nThe dataset contains 27,558 color images and 2 folders - infected and uninfected.\n\n\n\n## SUMMARY OF RESULTS:\n\nBuilding a custom built 2-layered Convolution Neural Network provided fairly good results at 95% accuracy. F1 Score, Precision, and Recall were also at 95% for each giving us an equal and moderately low number of False Positives and False Negatives.\n\n```\nAccuracy Score: \n0.9621\n'Report: \n precision recall f1-score support\n\n 0 0.98 0.95 0.96 2805\n 1 0.95 0.98 0.96 2705\n\n micro avg 0.96 0.96 0.96 5510\n macro avg 0.96 0.96 0.96 5510\nweighted avg 0.96 0.96 0.96 5510\n```\n\nThe model built using pyTorch produces almost equal accuracy as the one by tensorflow.keras."},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"# Importing libraries\nimport numpy as np \nimport pandas as pd \nimport matplotlib.pyplot as plt\n\nimport torch\nimport torchvision\nfrom torchvision import datasets, transforms\nimport torch.nn as nn\nfrom torch.utils.data import DataLoader\nfrom torch.utils.data.sampler import SubsetRandomSampler\nimport torch.nn.functional as F\n\nimport os\nprint(os.listdir(\"../input/cell_images/cell_images/\"))\ndevice = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")","execution_count":13,"outputs":[{"output_type":"stream","text":"['Parasitized', 'Uninfected']\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"### Data Augmentation\n\n* > Using Pytorch transformation function to augment a dataset. I tried different transformations but find these helpful.\n* > All the images are resized to 120 * 120 as an input to custom CNN class.\n* > Applying different transformations like RandomHorizontalFlip( ), RandomRotation( ) etc. There is a 50/50 chance whether it would change the image or not.\n* > Converting images into Pytorch tensors.\n* > Also normalizing them with mean [0.5, 0.5., 0.5] and standard deviation [0.5, 0.5, 0.5]. All tensors are in range of [-1, 1].\n > It won't increase size of the dataset as transformation performs one by one on images."},{"metadata":{"trusted":true},"cell_type":"code","source":"train_transforms = transforms.Compose([transforms.Resize((120, 120)),\n transforms.ColorJitter(0.05),\n transforms.RandomHorizontalFlip(),\n transforms.RandomVerticalFlip(),\n transforms.RandomRotation(20),\n transforms.ToTensor(), \n transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])\n ])","execution_count":15,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"> Loading a images using generic dataloader ImageFolder."},{"metadata":{"trusted":true},"cell_type":"code","source":"image_dir = \"../input/cell_images/cell_images/\"\ntrain_set = datasets.ImageFolder(image_dir, transform=train_transforms)","execution_count":16,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Creating a dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"test_size = 0.2\n\nnum_train = len(train_set)\nindices = list(range(num_train))\nnp.random.shuffle(indices)\n\ntest_split = int(np.floor((test_size) * num_train))\ntest_index, train_index = indices[:test_split - 1], indices[test_split - 1:]\n\ntrain_sampler = SubsetRandomSampler(train_index)\ntest_sampler = SubsetRandomSampler(test_index)\n\ntrain_loader = DataLoader(train_set, sampler=train_sampler, batch_size=104)\ntest_loader = DataLoader(train_set, sampler=test_sampler, batch_size=58)\nprint(\"Images in Test set: {}\\nImages in Train set: {}\".format(len(test_index), len(train_index)))","execution_count":17,"outputs":[{"output_type":"stream","text":"Images in Test set: 5510\nImages in Train set: 22048\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"# We have images in 2 classes: Infected and Uninfected\nclasses=['infected','uninfected']","execution_count":29,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Visualizing some Images...\ndef imshow(img):\n img = img / 2 + 0.5 # unnormalize\n npimg = img.numpy()\n plt.imshow(np.transpose(npimg, (1, 2, 0)))\n \nimages, labels = next(iter(train_loader))\n\nfig = plt.figure(figsize=(25, 15))\n\nfor i in range(10):\n ax = fig.add_subplot(2, 5, i+1, xticks=[], yticks=[], title=classes[labels[i]])\n imshow(images[i])\nplt.show()","execution_count":19,"outputs":[{"output_type":"display_data","data":{"text/plain":"
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\n"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"### CNN classifier"},{"metadata":{"trusted":true},"cell_type":"code","source":"class MosquitoNet(nn.Module):\n \n def __init__(self):\n super(MosquitoNet, self).__init__()\n \n self.layer1 = nn.Sequential(\n nn.Conv2d(3, 16, kernel_size=5, stride=1, padding=2),\n nn.BatchNorm2d(16),\n nn.ReLU(),\n nn.MaxPool2d(kernel_size=2, stride=2)\n )\n \n self.layer2 = nn.Sequential(\n nn.Conv2d(16, 32, kernel_size=5, stride=1, padding=2),\n nn.BatchNorm2d(32),\n nn.ReLU(),\n nn.MaxPool2d(kernel_size=2, stride=2)\n )\n \n self.layer3 = nn.Sequential(\n nn.Conv2d(32, 64, kernel_size=3, padding=1),\n nn.BatchNorm2d(64),\n nn.ReLU(),\n nn.MaxPool2d(kernel_size=2, stride=2)\n )\n \n self.fc1 = nn.Linear(64*15*15, 512)\n self.fc2 = nn.Linear(512, 128)\n self.fc3 = nn.Linear(128, 2)\n self.drop = nn.Dropout2d(0.2)\n \n def forward(self, x):\n out = self.layer1(x)\n out = self.layer2(out)\n out = self.layer3(out)\n out = out.view(out.size(0), -1) # flatten out a input for Dense Layer\n out = self.fc1(out)\n out = F.relu(out)\n out = self.drop(out)\n out = self.fc2(out)\n out = F.relu(out)\n out = self.drop(out)\n out = self.fc3(out)\n \n return out\n ","execution_count":20,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"> Making a model and defining error and optimizing algorithm."},{"metadata":{"trusted":true},"cell_type":"code","source":"model = MosquitoNet()\nmodel.to(device)\nerror = nn.CrossEntropyLoss()\nlearning_rate = 0.001\noptimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)\nprint(model)","execution_count":23,"outputs":[{"output_type":"stream","text":"MosquitoNet(\n (layer1): Sequential(\n (0): Conv2d(3, 16, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\n (1): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n (2): ReLU()\n (3): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n )\n (layer2): Sequential(\n (0): Conv2d(16, 32, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))\n (1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n (2): ReLU()\n (3): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n )\n (layer3): Sequential(\n (0): Conv2d(32, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n (2): ReLU()\n (3): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n )\n (fc1): Linear(in_features=14400, out_features=512, bias=True)\n (fc2): Linear(in_features=512, out_features=128, bias=True)\n (fc3): Linear(in_features=128, out_features=2, bias=True)\n (drop): Dropout2d(p=0.2)\n)\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"### Training a Model"},{"metadata":{"trusted":true},"cell_type":"code","source":"num_epochs = 20\nbatch_size = 100 \n\nfor epoch in range(num_epochs):\n train_loss = 0.\n model.train() # explictily stating the training\n \n for i, (images, labels) in enumerate(train_loader):\n images, labels = images.to(device), labels.to(device)\n train = images.view(-1, 3, 120, 120)\n outputs = model(train)\n \n optimizer.zero_grad()\n loss = error(outputs, labels)\n loss.backward() #back-propagation\n optimizer.step()\n \n train_loss += loss.item() * batch_size\n \n print(\"Epoch: {}, Loss: {:.4f}\".format(epoch + 1, train_loss / len(train_loader.dataset)))","execution_count":24,"outputs":[{"output_type":"stream","text":"Epoch: 1, Loss: 0.3256\nEpoch: 2, Loss: 0.1396\nEpoch: 3, Loss: 0.1262\nEpoch: 4, Loss: 0.1095\nEpoch: 5, Loss: 0.1085\nEpoch: 6, Loss: 0.1045\nEpoch: 7, Loss: 0.1016\nEpoch: 8, Loss: 0.0985\nEpoch: 9, Loss: 0.0937\nEpoch: 10, Loss: 0.0983\nEpoch: 11, Loss: 0.0942\nEpoch: 12, Loss: 0.0900\nEpoch: 13, Loss: 0.0895\nEpoch: 14, Loss: 0.0871\nEpoch: 15, Loss: 0.0857\nEpoch: 16, Loss: 0.0855\nEpoch: 17, Loss: 0.0834\nEpoch: 18, Loss: 0.0803\nEpoch: 19, Loss: 0.0821\nEpoch: 20, Loss: 0.0811\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"### Testing a model"},{"metadata":{"trusted":true},"cell_type":"code","source":"correct = 0\ntotal = 0\nclass_total = [0 for _ in range(2)]\nclass_correct = [0 for _ in range(2)]\nbatch_size = 58\n# Lists used in Confusion Matrix\nactual = []\npredict = []\n\nmodel.eval() # explicitly stating the testing \nwith torch.no_grad():\n for images, labels in test_loader:\n images, labels = images.to(device), labels.to (device)\n \n actual.append(labels.data.tolist())\n test = images.view(-1, 3, 120, 120)\n outputs = model(test)\n predicted = torch.max(outputs, 1)[1]\n predict.append(predicted.data.tolist())\n total += len(labels)\n correct += (predicted == labels).sum().item()\n # Calculating classwise accuracy\n c = (predicted == labels).squeeze()\n for i in range(batch_size):\n label = labels[i]\n class_correct[label] += c[i].item()\n class_total[label] += 1\n \nprint(\"Accuracy on the Test set: {:.2f}%\".format(correct * 100 / total))\nprint()\nfor i in range(2):\n print(\"Accuracy of {} : {:.2f}% [{} / {}]\".format(classes[i], class_correct[i] * 100 / class_total[i], \n class_correct[i], class_total[i]))","execution_count":26,"outputs":[{"output_type":"stream","text":"Accuracy on the Test set: 96.21%\n\nAccuracy of infected : 94.83% [2660 / 2805]\nAccuracy of uninfected : 97.63% [2641 / 2705]\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"> Calculating a Confusion Matrix"},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.metrics import confusion_matrix\nfrom sklearn.metrics import accuracy_score\nfrom sklearn.metrics import classification_report\nimport itertools\n\n#flatten out 2D list into 1D\nactual = list(itertools.chain.from_iterable(actual))\npredict = list(itertools.chain.from_iterable(predict))\n","execution_count":27,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"results = confusion_matrix(actual, predict)\nprint(\"Accuracy Score: \")\nprint(\"{:.4f}\".format(accuracy_score(actual, predict)))\nprint()\nprint(\"Report: \")\nprint(classification_report(actual, predict))\nprint()\nprint(\"Confusion Matrix: \")\nprint(pd.DataFrame(results, columns=[\"Predicted No\", \"Predicted Yes\"], index=[\"Actual No\", \"Actual Yes\"]))","execution_count":28,"outputs":[{"output_type":"stream","text":"Accuracy Score: \n0.9621\n\nReport: \n precision recall f1-score support\n\n 0 0.98 0.95 0.96 2805\n 1 0.95 0.98 0.96 2705\n\n micro avg 0.96 0.96 0.96 5510\n macro avg 0.96 0.96 0.96 5510\nweighted avg 0.96 0.96 0.96 5510\n\n\nConfusion Matrix: \n Predicted No Predicted Yes\nActual No 2660 145\nActual Yes 64 2641\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"torch.save(model.state_dict(), \"model.pt\")","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":4} \ No newline at end of file diff --git a/app.py b/app.py index e0830c1..dfe8738 100644 --- a/app.py +++ b/app.py @@ -28,7 +28,7 @@ def image_preprocess(img): @app.route('/') def home(): - return render_template("home.html") + return render_template("index.html") @app.route('/result', methods = ['POST']) def result(): prediction='' @@ -47,4 +47,4 @@ def result(): return render_template("result.html", prediction=prediction) if __name__ == "__main__": - app.run() + app.run() \ No newline at end of file diff --git a/models/model_pytorch.pt b/models/model_pytorch.pt new file mode 100644 index 0000000..8e9bafc Binary files /dev/null and b/models/model_pytorch.pt differ