The-Data-Alchemists-Manipal · khusheekapoor · Aug 9, 2023 · Jun 3, 2023 · Jun 3, 2023 · Jun 11, 2023
diff --git a/Deep Learning/Posture_Detection_Posenet/Images/README.md b/Deep Learning/Posture_Detection_Posenet/Images/README.md
@@ -0,0 +1 @@
+
diff --git a/Deep Learning/Posture_Detection_Posenet/Images/cigar.png b/Deep Learning/Posture_Detection_Posenet/Images/cigar.png
diff --git a/Deep Learning/Posture_Detection_Posenet/Images/shahrukh.png b/Deep Learning/Posture_Detection_Posenet/Images/shahrukh.png
diff --git a/Deep Learning/Posture_Detection_Posenet/Images/spects.png b/Deep Learning/Posture_Detection_Posenet/Images/spects.png
diff --git a/Deep Learning/Posture_Detection_Posenet/README.md b/Deep Learning/Posture_Detection_Posenet/README.md
@@ -0,0 +1,38 @@
+# Deep Learning Model Posture Detection with PoseNet
+
+This repository contains a web application that utilizes the PoseNet model for pose estimation. The application captures video from the user's webcam and detects human poses in real-time.
+
+## Model Description
+
+The PoseNet model is a deep learning model developed by Google that allows for real-time pose estimation using machine learning techniques. It can identify key body joints and provide their positions in an image or video. This implementation uses the ml5.js library, which provides a simple interface for working with PoseNet in JavaScript.
+
+## Features
+
+- Real-time pose estimation using the user's webcam
+- Drawing of key points and skeleton lines on the video feed
+- Image overlay on specific body parts
+
+## Dependencies
+
+The following dependencies are used in this project:
+
+- [ml5.js](https://ml5js.org/): A friendly JavaScript library for machine learning
+- [p5.js](https://p5js.org/): A JavaScript library for creative coding.
+
+## Tech Stack
+
+The following technologies and libraries were used in this project:
+
+- HTML
+- CSS
+- JavaScript
+- [ml5.js](https://ml5js.org/): A friendly JavaScript library for machine learning
+- [p5.js](https://p5js.org/): A JavaScript library for creative coding
+
+The project utilizes HTML for structuring the web page, CSS for styling, and JavaScript for interactivity and integration with PoseNet. The ml5.js library is used to load the PoseNet model and perform pose estimation, while p5.js is used for drawing the video feed and overlays on the canvas.
+
+
+
+
+
+
diff --git a/Deep Learning/Posture_Detection_Posenet/index.html b/Deep Learning/Posture_Detection_Posenet/index.html
@@ -0,0 +1,17 @@
+<html>
+
+<head>
+    <title>PoseNet Demo</title>
+    <script src="https://unpkg.com/ml5@latest/dist/ml5.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/[email protected]/lib/p5.js"></script>
+    <script src='sketch.js'></script>
+</head>
+
+<body>
+    <h1>PoseNet Demo</h1>
+</body>
+
+
+
+
+</html>
diff --git a/Deep Learning/Posture_Detection_Posenet/sketch.js b/Deep Learning/Posture_Detection_Posenet/sketch.js
@@ -0,0 +1,61 @@
+let capture;
+let posenet;
+let noseX,noseY;
+let reyeX,reyeY;
+let leyeX,leyeY;
+let singlePose,skeleton;
+let actor_img;
+let specs,smoke;
+
+function setup() {
+    createCanvas(800, 500);
+    capture = createCapture(VIDEO)
+    capture.hide();
+
+    posenet = ml5.poseNet(capture, modelLoaded);
+    posenet.on('pose',receivedPoses);
+
+    actor_img = loadImage('images/shahrukh.png');
+    specs = loadImage('images/spects.png');
+    smoke = loadImage('images/cigar.png');
+
+}
+
+function receivedPoses(poses){
+    console.log(poses);
+
+    if(poses.length > 0){
+        singlePose = poses[0].pose;
+        skeleton = poses[0].skeleton;
+    }
+}
+
+function modelLoaded() {
+    console.log('Model has loaded');
+}
+
+function draw() {
+
+    // images and videos(webcam)
+    image(capture, 0, 0);
+    fill(255,0,0);
+
+    if(singlePose){
+        for(let i=0; i<singlePose.keypoints.length; i++){
+            ellipse(singlePose.keypoints[i].position.x, singlePose.keypoints[i].position.y,20);
+        }
+        stroke(255,255,255);
+        strokeWeight(5);
+        for(let j=0; j<skeleton.length; j++){
+            line(skeleton[j][0].position.x, skeleton[j][0].position.y, skeleton[j][1].position.x, skeleton[j][1].position.y)
+        }
+
+        //image(specs,singlePose.nose.x-35,singlePose.nose.y-50,80,80);
+        //image(smoke,singlePose.nose.x-35,singlePose.nose.y+10,40,40);
+
+
+    }
+
+
+
+}
diff --git a/Deep Learning/README.md b/Deep Learning/README.md
@@ -68,11 +68,14 @@
 - <a href="https://github.com/lcs2022026/MindWave_fork/blob/Tomato_Leaf_Disease_Detection_by_using_CNN_%2398/Deep%20Learning/Tomato%20Leaf%20Disease%20Detection/CNN_Tomato_Leaf_Disease_Detection.ipynb">CNN - Tomato Leaf Disease Detection</a>
 - <a href="https://github.com/lcs2022026/MindWave_fork/blob/WCE_Curated_Colon_Disease_classification_%23168/Deep%20Learning/WCE%20Curated%20Colon%20Disease%20classification/model.algorithm.ipynb">CNN - WCE curated colon disease</a>
 - <a href="https://github.com/Shubhra-31/MindWave/blob/main/Deep%20Learning/Tfidf_LightGBM_Netflix%20Movies%20and%20TV%20Shows/Lightgbm_Netflix%20Movies%20and%20TV%20Shows%20.ipynb"> Tfidf-LightGBM-Netlfix Movies and TV Shows </a>
+- <a href="https://github.com/Shreyg-27/MindWave/tree/main/Deep%20Learning/Posture_Detection_Posenet">CNN - Posture Detection</a>
 - <a href="https://github.com/Soumya1219/MindWave/blob/master/Deep%20Learning/Traffic%20Sign%20Recognition/Traffic-Sign-Recognition.ipynb"> CNN - Traffic Sign Recognition
  </a>
 
 
 
+
+
 ## Implementation Ideas
 
 - <a href="https://www.kaggle.com/datasets/andradaolteanu/gtzan-dataset-music-genre-classification">ANN - Music genre classification</a>
@@ -100,6 +103,7 @@
 - <a href="https://github.com/sujanrupu/MindWave/blob/main/Deep%20Learning/CNN_Speech_Emotion_Recognition.ipynb">CNN - Speech Emotion Recognition</a>
 - <a href="https://github.com/lakshmishreea122003/face-detedtion-MTCNN">Face Detection MTCNN</a>
 - <a href="https://github.com/sujanrupu/MindWave/tree/main/Deep%20Learning/Gender_Recognition_Using_Voice">Gender Recognition Using Voice</a>
+- <a href="https://github.com/Shreyg-27/MindWave/tree/main/Deep%20Learning/Posture_Detection_Posenet">CNN - Posture Detection</a>
 
 
 
@@ -121,4 +125,5 @@
 - VGG16
 - VGG19
 - MTCNN
+- PoseNet