Pose Controller

{"name":"","description":"","photo":null,"view_count":13,"fork_count":0,"expires_at":null,"created_at":"2025-06-26T16:03:32.854680Z","updated_at":"2025-06-26T16:03:32.854681Z","user_id":166,"status":"PRIVATE","parent_id":null,"id":8587,"user":{"photo":null,"email":"markivlev@gmail.com","recess_id":"38a987b1-569d-47cc-ae61-0c84198aa65c","created_at":"2024-08-05T03:36:08.774307Z","reset_token":null,"stripe_customer_id":null,"seats":null,"username":"m_ivlev","id":166,"password_hash":"$2b$12$lM.SwMhsrEJrs7ZjNyj9e.FOyWqAZgNBSeOEkB8gCGEsXkmGPZLu6","updated_at":"2024-08-05T03:36:08.774314Z","reset_token_expiry":null,"subscription_status":null},"code":{"script.js":"const URL = \"https://teachablemachine.withgoogle.com/models/yc_OHnCQm/\";\n\nlet model, webcam, ctx, labelContainer, maxPredictions;\n\nfunction setup() {\n createCanvas(windowWidth, windowHeight);\n background(135, 206, 235); // Sky blue background\n}\n\nfunction draw() {\n drawCheckeredBackground(); // Draw the checkered background first\n if (webcam && webcam.canvas) {\n drawPose(); // Call drawPose to draw webcam feed and overlay poses\n }\n}\n\nasync function loop(timestamp) {\n webcam.update();\n await predict();\n window.requestAnimationFrame(loop);\n}\n\nfunction handlePose(poseName) {\n // Implement actions based on detected poses\n if (poseName === \"flex\") {\n console.log(\"Flex pose detected!\");\n // Add your character control logic for flex pose\n } else if (poseName === \"arms up\") {\n console.log(\"Arms up pose detected!\");\n // Add your character control logic for arms up pose\n } else if (poseName === \"tennis ball\") {\n console.log(\"Tennis ball pose detected!\");\n // Add your character control logic for tennis ball pose\n } else if (poseName === \"nothing\") {\n console.log(\"Nothing pose detected!\");\n }\n}\n\nfunction drawCheckeredBackground() {\n const tileSize = 50; // Size of each square in the checkered pattern\n for (let x = 0; x < width; x += tileSize) {\n for (let y = 0; y < height; y += tileSize) {\n if ((x / tileSize + y / tileSize) % 2 === 0) {\n fill(255); // White squares\n } else {\n fill(0); // Black squares\n }\n rect(x, y, tileSize, tileSize); // Draw the square\n }\n }\n}\n\nfunction drawPose(pose) {\n if (webcam.canvas) {\n ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear the canvas for each frame\n ctx.drawImage(webcam.canvas, 0, 0, canvas.width, canvas.height); // Draw the webcam feed on the canvas\n\n if (pose) {\n const minPartConfidence = 0.5;\n tmPose.drawKeypoints(pose.keypoints, minPartConfidence, ctx); // Draw keypoints\n tmPose.drawSkeleton(pose.keypoints, minPartConfidence, ctx); // Draw skeleton\n }\n }\n}\n\nasync function poseLoop(timestamp) { // Renamed function\n webcam.update();\n await predict();\n window.requestAnimationFrame(poseLoop); // Changed here\n}\n\nasync function init() {\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n model = await tmPose.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n\n const size = 200; // Size of the webcam feed\n const flip = true; // whether to flip the webcam\n webcam = new tmPose.Webcam(size, size, flip); // Set webcam size\n await webcam.setup(); // request access to the webcam\n await webcam.play();\n window.requestAnimationFrame(poseLoop); // Start the pose loop\n\n const canvas = document.getElementById(\"canvas\");\n canvas.width = windowWidth; // Set canvas width to window width\n canvas.height = windowHeight; // Set canvas height to window height\n ctx = canvas.getContext(\"2d\"); // Set the canvas context here\n labelContainer = document.getElementById(\"label-container\");\n for (let i = 0; i < maxPredictions; i++) {\n labelContainer.appendChild(document.createElement(\"div\"));\n }\n}\n\nasync function predict() {\n const { pose, posenetOutput } = await model.estimatePose(webcam.canvas);\n const prediction = await model.predict(posenetOutput);\n\n for (let i = 0; i < maxPredictions; i++) {\n const classPrediction = prediction[i].className + \": \" + prediction[i].probability.toFixed(2);\n labelContainer.childNodes[i].innerHTML = classPrediction;\n\n // Add actions based on pose\n if (prediction[i].probability > 0.5) {\n handlePose(prediction[i].className);\n }\n }\n\n drawPose(pose); // Pass the pose correctly\n}\n\n","style.css":"body {\r\n margin: 0;\r\n overflow: hidden;\r\n}\r\n\r\n#label-container {\r\n position: absolute;\r\n top: 10px;\r\n left: 10px;\r\n z-index: 2;\r\n color: white;\r\n}\r\n\r\n#start-button {\r\n position: absolute;\r\n top: 50px;\r\n left: 10px;\r\n z-index: 2;\r\n}\r\n\r\ncanvas {\r\n position: absolute;\r\n top: 0;\r\n left: 0;\r\n z-index: 1;\r\n width: 100%;\r\n height: 100%;\r\n}","index.html":"\n\n\n\n \n \n Pose Controller\n \n \n \n \n \n\n\n

Teachable Machine Pose Model

\n \n

\n \n\n"},"chat_history":[{"message":"Use the following code snippet as a basis for a new project:","project_id":8587,"created_at":"2025-06-26T16:03:33.205887Z","output_tokens":null,"sender":"human","code_id":257367,"deleted":0,"input_tokens":null,"id":152678},{"message":"Let's get started!\n Errors:\n","project_id":8587,"created_at":"2025-06-26T16:03:37.725489Z","output_tokens":null,"sender":"client_script","code_id":257367,"deleted":0,"input_tokens":null,"id":152679},{"message":"Great! Before we dive into the details, could you tell me a bit more about your project idea? What are you hoping to create with this? Is it a game, a website, or something else? What features or elements are you thinking of including?","project_id":8587,"created_at":"2025-06-26T16:03:38.603132Z","output_tokens":58,"sender":"ai","code_id":257367,"deleted":0,"input_tokens":2660,"id":152680},{"message":"Let's get started!\n Errors:\n","project_id":8587,"created_at":"2025-06-26T16:03:39.151377Z","output_tokens":null,"sender":"client_script","code_id":257367,"deleted":0,"input_tokens":null,"id":152681},{"message":"Great! You have a basic setup with p5.js ready to go. Could you tell me more about what kind of project you want to build? Is it a game, a website, an animation, or something else? Let me know what features or ideas you have in mind!","project_id":8587,"created_at":"2025-06-26T16:03:40.134979Z","output_tokens":58,"sender":"ai","code_id":257367,"deleted":0,"input_tokens":2660,"id":152682},{"message":"Use this code:\n

Teachable Machine Pose Model

\n\n

\n\n\n\n","project_id":8587,"created_at":"2025-06-26T16:03:49.635348Z","output_tokens":null,"sender":"human","code_id":257367,"deleted":0,"input_tokens":null,"id":152683},{"message":"This is a great starting point for a project using the Teachable Machine Pose Model! You can create a fun and interactive experience with this setup. Let's integrate the provided code into your existing project. Since your current setup uses p5.js, we'll need to make sure this HTML-based code works alongside it.\n\nCould you let me know what additional features or functionality you'd like to add to this pose recognition project? For example, are there any specific actions or feedback you want to incorporate when certain poses are detected?","project_id":8587,"created_at":"2025-06-26T16:03:50.466794Z","output_tokens":135,"sender":"ai","code_id":257367,"deleted":0,"input_tokens":3381,"id":152684},{"message":"This model will be used as a character controller. The poses are \"flex\", \"arms up\", \"tennis ball\" and \"nothing\"","project_id":8587,"created_at":"2025-06-26T16:04:38.407184Z","output_tokens":null,"sender":"human","code_id":257367,"deleted":0,"input_tokens":null,"id":152685},{"message":"Thanks for sharing your project details! Using the Teachable Machine Pose Model as a character controller sounds exciting! \n\nLet's integrate the provided code for the pose recognition into your existing p5.js setup. First, we'll need to update your `index.html` file to include the necessary HTML structure and scripts for the Teachable Machine.\n\nHere’s the updated `index.html`:\n\n```html\n\n\n\n\n \n \n Pose Controller\n \n \n \n \n \n\n\n

Teachable Machine Pose Model

\n \n

\n \n\n\n```\n\n### Changes made:\n- Added the necessary HTML elements for the Teachable Machine setup.\n- Included the required scripts for TensorFlow.js and the Teachable Machine Pose model.\n\nNow, let's add the JavaScript code to your `script.js` file. This will include the pose detection logic and how to handle the detected poses. Here’s the code to add:\n\n```javascript\n// script.js\nconst URL = \"https://teachablemachine.withgoogle.com/models/yc_OHnCQm/\";\nlet model, webcam, ctx, labelContainer, maxPredictions;\n\nasync function init() {\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n model = await tmPose.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n\n const size = 200;\n const flip = true;\n webcam = new tmPose.Webcam(size, size, flip);\n await webcam.setup();\n await webcam.play();\n window.requestAnimationFrame(loop);\n\n const canvas = document.getElementById(\"canvas\");\n canvas.width = size; canvas.height = size;\n ctx = canvas.getContext(\"2d\");\n labelContainer = document.getElementById(\"label-container\");\n for (let i = 0; i < maxPredictions; i++) {\n labelContainer.appendChild(document.createElement(\"div\"));\n }\n}\n\nasync function loop(timestamp) {\n webcam.update();\n await predict();\n window.requestAnimationFrame(loop);\n}\n\nasync function predict() {\n const { pose, posenetOutput } = await model.estimatePose(webcam.canvas);\n const prediction = await model.predict(posenetOutput);\n\n for (let i = 0; i < maxPredictions; i++) {\n const classPrediction = prediction[i].className + \": \" + prediction[i].probability.toFixed(2);\n labelContainer.childNodes[i].innerHTML = classPrediction;\n\n // Add actions based on pose\n if (prediction[i].probability > 0.5) {\n handlePose(prediction[i].className);\n }\n }\n\n drawPose(pose);\n}\n\nfunction handlePose(poseName) {\n // Implement actions based on detected poses\n if (poseName === \"flex\") {\n console.log(\"Flex pose detected!\");\n // Add your character control logic for flex pose\n } else if (poseName === \"arms up\") {\n console.log(\"Arms up pose detected!\");\n // Add your character control logic for arms up pose\n } else if (poseName === \"tennis ball\") {\n console.log(\"Tennis ball pose detected!\");\n // Add your character control logic for tennis ball pose\n } else if (poseName === \"nothing\") {\n console.log(\"Nothing pose detected!\");\n }\n}\n\nfunction drawPose(pose) {\n if (webcam.canvas) {\n ctx.drawImage(webcam.canvas, 0, 0);\n if (pose) {\n const minPartConfidence = 0.5;\n tmPose.drawKeypoints(pose.keypoints, minPartConfidence, ctx);\n tmPose.drawSkeleton(pose.keypoints, minPartConfidence, ctx);\n }\n }\n}\n```\n\n### Key Points:\n- This code initializes the Teachable Machine model, sets up the webcam, and detects poses.\n- The `handlePose` function is where you can implement the actions for each detected pose (\"flex\", \"arms up\", \"tennis ball\", \"nothing\").\n- The detected poses will be logged to the console for now.\n\nYou can add your character control logic inside the `handlePose` function based on what actions you want to trigger for each pose.\n\nPlease add this code to your `script.js` file, replacing any previous content in that file. Let me know when you're ready, or if you need any help with the character control logic!","project_id":8587,"created_at":"2025-06-26T16:04:39.117491Z","output_tokens":1183,"sender":"ai","code_id":257367,"deleted":0,"input_tokens":2684,"id":152686},{"message":"LOG %c * Tone.js v14.8.39 * \nWARNING webgl backend was already registered. Reusing existing backend factory. \nWARNING cpu backend was already registered. Reusing existing backend factory. \nWARNING Platform browser has already been set. Overwriting the platform with [object Object]. \nLOG \n🌸 p5.js says: p5 had problems creating the global function \"loop\", possibly because your code is already using that name as a variable. You may want to rename your variable to something else. (http://p5js.org/reference/#/p5/loop) ","project_id":8587,"created_at":"2025-06-26T16:05:29.733837Z","output_tokens":null,"sender":"human","code_id":257374,"deleted":0,"input_tokens":null,"id":152687},{"message":"The warning about the `loop` function is due to a naming conflict with p5.js, which already has its own `loop` function. To resolve this issue, we can rename the `loop` function in your `script.js` file to something else, like `poseLoop`.\n\nLet's update the JavaScript code accordingly:\n\n```javascript\n// script.js\nconst URL = \"https://teachablemachine.withgoogle.com/models/yc_OHnCQm/\";\n\nlet model, webcam, ctx, labelContainer, maxPredictions;\n\nfunction setup() {\n createCanvas(windowWidth, windowHeight);\n background(135, 206, 235); // Sky blue background\n}\n\nfunction draw() {\n // Game logic will go here\n}\n\nasync function init() {\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n model = await tmPose.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n\n const size = 200;\n const flip = true;\n webcam = new tmPose.Webcam(size, size, flip);\n await webcam.setup();\n await webcam.play();\n window.requestAnimationFrame(poseLoop); // Change here\n\n const canvas = document.getElementById(\"canvas\");\n canvas.width = size; canvas.height = size;\n ctx = canvas.getContext(\"2d\");\n labelContainer = document.getElementById(\"label-container\");\n for (let i = 0; i < maxPredictions; i++) {\n labelContainer.appendChild(document.createElement(\"div\"));\n }\n}\n\nasync function poseLoop(timestamp) { // Change here\n webcam.update();\n await predict();\n window.requestAnimationFrame(poseLoop); // Change here\n}\n\nasync function predict() {\n const { pose, posenetOutput } = await model.estimatePose(webcam.canvas);\n const prediction = await model.predict(posenetOutput);\n\n for (let i = 0; i < maxPredictions; i++) {\n const classPrediction = prediction[i].className + \": \" + prediction[i].probability.toFixed(2);\n labelContainer.childNodes[i].innerHTML = classPrediction;\n\n // Add actions based on pose\n if (prediction[i].probability > 0.5) {\n handlePose(prediction[i].className);\n }\n }\n\n drawPose(pose);\n}\n\nfunction handlePose(poseName) {\n // Implement actions based on detected poses\n if (poseName === \"flex\") {\n console.log(\"Flex pose detected!\");\n // Add your character control logic for flex pose\n } else if (poseName === \"arms up\") {\n console.log(\"Arms up pose detected!\");\n // Add your character control logic for arms up pose\n } else if (poseName === \"tennis ball\") {\n console.log(\"Tennis ball pose detected!\");\n // Add your character control logic for tennis ball pose\n } else if (poseName === \"nothing\") {\n console.log(\"Nothing pose detected!\");\n }\n}\n\nfunction drawPose(pose) {\n if (webcam.canvas) {\n ctx.drawImage(webcam.canvas, 0, 0);\n if (pose) {\n const minPartConfidence = 0.5;\n tmPose.drawKeypoints(pose.keypoints, minPartConfidence, ctx);\n tmPose.drawSkeleton(pose.keypoints, minPartConfidence, ctx);\n }\n }\n}\n```\n\n### Changes Made:\n- Renamed the `loop` function to `poseLoop`.\n- Updated the references to `poseLoop` in the `init` and `requestAnimationFrame` calls.\n\nPlease replace the existing `script.js` content with this updated code. This should resolve the warnings you're encountering. Let me know if you need any further assistance or if you'd like to add more features!","project_id":8587,"created_at":"2025-06-26T16:05:30.417163Z","output_tokens":846,"sender":"ai","code_id":257374,"deleted":0,"input_tokens":3468,"id":152688},{"message":"LOG %c * Tone.js v14.8.39 * \nWARNING webgl backend was already registered. Reusing existing backend factory. \nWARNING cpu backend was already registered. Reusing existing backend factory. \nWARNING Platform browser has already been set. Overwriting the platform with [object Object]. \nLOG \n🌸 p5.js says: p5 had problems creating the global function \"loop\", possibly because your code is already using that name as a variable. You may want to rename your variable to something else. (http://p5js.org/reference/#/p5/loop) ","project_id":8587,"created_at":"2025-06-26T16:06:03.786120Z","output_tokens":null,"sender":"human","code_id":257377,"deleted":0,"input_tokens":null,"id":152689},{"message":"It looks like you're facing a naming conflict with the `loop` function in your code, which is conflicting with p5.js's built-in `loop` function. To resolve this issue, we need to rename your `loop` function to something else, like `poseLoop`.\n\nHere's how you can update your `script.js` file to fix this conflict:\n\n```javascript\n// script.js\nconst URL = \"https://teachablemachine.withgoogle.com/models/yc_OHnCQm/\";\n\nlet model, webcam, ctx, labelContainer, maxPredictions;\n\nfunction setup() {\n createCanvas(windowWidth, windowHeight);\n background(135, 206, 235); // Sky blue background\n}\n\nfunction draw() {\n // Game logic will go here\n}\n\nasync function init() {\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n model = await tmPose.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n\n const size = 200;\n const flip = true;\n webcam = new tmPose.Webcam(size, size, flip);\n await webcam.setup();\n await webcam.play();\n window.requestAnimationFrame(poseLoop); // Changed here\n\n const canvas = document.getElementById(\"canvas\");\n canvas.width = size; canvas.height = size;\n ctx = canvas.getContext(\"2d\");\n labelContainer = document.getElementById(\"label-container\");\n for (let i = 0; i < maxPredictions; i++) {\n labelContainer.appendChild(document.createElement(\"div\"));\n }\n}\n\nasync function poseLoop(timestamp) { // Renamed function\n webcam.update();\n await predict();\n window.requestAnimationFrame(poseLoop); // Changed here\n}\n\nasync function predict() {\n const { pose, posenetOutput } = await model.estimatePose(webcam.canvas);\n const prediction = await model.predict(posenetOutput);\n\n for (let i = 0; i < maxPredictions; i++) {\n const classPrediction = prediction[i].className + \": \" + prediction[i].probability.toFixed(2);\n labelContainer.childNodes[i].innerHTML = classPrediction;\n\n // Add actions based on pose\n if (prediction[i].probability > 0.5) {\n handlePose(prediction[i].className);\n }\n }\n\n drawPose(pose);\n}\n\nfunction handlePose(poseName) {\n // Implement actions based on detected poses\n if (poseName === \"flex\") {\n console.log(\"Flex pose detected!\");\n // Add your character control logic for flex pose\n } else if (poseName === \"arms up\") {\n console.log(\"Arms up pose detected!\");\n // Add your character control logic for arms up pose\n } else if (poseName === \"tennis ball\") {\n console.log(\"Tennis ball pose detected!\");\n // Add your character control logic for tennis ball pose\n } else if (poseName === \"nothing\") {\n console.log(\"Nothing pose detected!\");\n }\n}\n\nfunction drawPose(pose) {\n if (webcam.canvas) {\n ctx.drawImage(webcam.canvas, 0, 0);\n if (pose) {\n const minPartConfidence = 0.5;\n tmPose.drawKeypoints(pose.keypoints, minPartConfidence, ctx);\n tmPose.drawSkeleton(pose.keypoints, minPartConfidence, ctx);\n }\n }\n}\n```\n\n### Key Changes:\n- Renamed the `loop` function to `poseLoop` to avoid the conflict with p5.js's built-in `loop` function.\n- Made sure to update all calls to the renamed function.\n\nPlease replace your existing `script.js` file with this updated code. This should resolve the warnings you're encountering. Let me know if you have any more questions or if you'd like to add more features!","project_id":8587,"created_at":"2025-06-26T16:06:04.507241Z","output_tokens":860,"sender":"ai","code_id":257377,"deleted":0,"input_tokens":3506,"id":152690},{"message":"Add a checkered background, remove the background that is at the bottom of the creen","project_id":8587,"created_at":"2025-06-26T16:57:08.845658Z","output_tokens":null,"sender":"human","code_id":257380,"deleted":0,"input_tokens":null,"id":152819},{"message":"To add a checkered background and remove the existing background in your project, we'll need to modify the `draw` function in your `script.js` file. Instead of using a solid color background, we'll create a checkered pattern.\n\nHere's the updated code for the `draw` function:\n\n```javascript\n// script.js\nfunction draw() {\n drawCheckeredBackground(); // Call the function to draw the checkered background\n}\n\nfunction drawCheckeredBackground() {\n const tileSize = 50; // Size of each square in the checkered pattern\n for (let x = 0; x < width; x += tileSize) {\n for (let y = 0; y < height; y += tileSize) {\n if ((x / tileSize + y / tileSize) % 2 === 0) {\n fill(255); // White squares\n } else {\n fill(0); // Black squares\n }\n rect(x, y, tileSize, tileSize); // Draw the square\n }\n }\n}\n```\n\n### Key Changes:\n- A new function `drawCheckeredBackground` is added to create a checkered pattern.\n- The `draw` function now calls `drawCheckeredBackground()` to render the checkered background on the canvas.\n\nPlease replace the existing `draw` function in your `script.js` with the updated code above. This will create a checkered background instead of a solid color. Let me know if you need any more modifications or features!","project_id":8587,"created_at":"2025-06-26T16:57:09.544685Z","output_tokens":329,"sender":"ai","code_id":257380,"deleted":0,"input_tokens":3403,"id":152820},{"message":"superimpose the webcam and all other html on the background rather than it being in its own separate space","project_id":8587,"created_at":"2025-06-26T16:57:59.475793Z","output_tokens":null,"sender":"human","code_id":257540,"deleted":0,"input_tokens":null,"id":152821},{"message":"To superimpose the webcam feed and other HTML elements on the checkered background, you'll need to adjust the CSS and the HTML structure. This will ensure that everything is positioned correctly on top of the background drawn on the canvas.\n\n### Step 1: Update the CSS\nLet's modify the `style.css` file to position the canvas and other elements in an absolute manner, allowing them to overlay on the checkered background.\n\nHere's the updated `style.css`:\n\n```css\n/* style.css */\nbody {\n margin: 0;\n overflow: hidden; /* Prevent scrolling */\n}\n\ncanvas {\n position: absolute; /* Position canvas absolutely */\n top: 0;\n left: 0;\n z-index: 1; /* Ensure canvas is behind other elements */\n}\n\n#label-container {\n position: absolute; /* Position the label container absolutely */\n top: 10px; /* Adjust as needed */\n left: 10px; /* Adjust as needed */\n z-index: 2; /* Ensure it is above the canvas */\n color: white; /* Adjust text color for visibility */\n}\n\n#start-button {\n position: absolute; /* Position the button absolutely */\n top: 50px; /* Adjust as needed */\n left: 10px; /* Adjust as needed */\n z-index: 2; /* Ensure it is above the canvas */\n}\n```\n\n### Step 2: Update the HTML\nNext, we'll add an ID to the button for easier styling, and ensure the container is ready for positioning. Here's the updated `index.html`:\n\n```html\n\n\n\n\n \n \n Pose Controller\n \n \n \n \n \n\n\n

Teachable Machine Pose Model

\n \n

\n \n\n\n```\n\n### Summary of Changes:\n- **CSS Changes**: The canvas and other HTML elements are now positioned absolutely, allowing them to overlay on the checkered background drawn by the canvas.\n- **HTML Changes**: The button has been given an ID for easier styling.\n\nAfter making these changes, your webcam feed and other UI elements should now appear superimposed over the checkered background. Let me know if you need further adjustments or assistance!","project_id":8587,"created_at":"2025-06-26T16:58:00.224616Z","output_tokens":679,"sender":"ai","code_id":257540,"deleted":0,"input_tokens":3539,"id":152822},{"message":"the webcam box isnt showing up now","project_id":8587,"created_at":"2025-06-26T16:58:40.524758Z","output_tokens":null,"sender":"human","code_id":257551,"deleted":0,"input_tokens":null,"id":152825},{"message":"It looks like the webcam feed is not appearing due to the way the canvas is set up and possibly how the webcam is drawn onto the canvas. Let's ensure that the webcam is being rendered correctly and that the canvas is properly sized and positioned.\n\n### Steps to Fix the Webcam Display\n\n1. **Ensure the Canvas Size Matches the Webcam Size**: Make sure the canvas size in the `init` function matches the size of the webcam feed.\n\n2. **Update the `drawPose` Function**: Make sure the webcam feed is drawn correctly on the canvas.\n\n3. **Adjust the HTML and CSS**: Make sure the canvas is positioned absolutely and is not obstructed by any other elements.\n\n### Updated Code\n\n#### Update `script.js`\n\nEnsure the `init` function sets the canvas size to match the webcam size:\n\n```javascript\nasync function init() {\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n model = await tmPose.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n\n const size = 200; // Size of the webcam feed\n const flip = true; // whether to flip the webcam\n webcam = new tmPose.Webcam(size, size, flip); // Set webcam size\n await webcam.setup(); // request access to the webcam\n await webcam.play();\n window.requestAnimationFrame(poseLoop); // Start the pose loop\n\n const canvas = document.getElementById(\"canvas\");\n canvas.width = windowWidth; // Set canvas width to window width\n canvas.height = windowHeight; // Set canvas height to window height\n ctx = canvas.getContext(\"2d\");\n labelContainer = document.getElementById(\"label-container\");\n for (let i = 0; i < maxPredictions; i++) {\n labelContainer.appendChild(document.createElement(\"div\"));\n }\n}\n```\n\n#### Update `drawPose` Function\n\nMake sure to draw the webcam feed correctly:\n\n```javascript\nfunction drawPose(pose) {\n if (webcam.canvas) {\n ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear the canvas for each frame\n ctx.drawImage(webcam.canvas, 0, 0, canvas.width, canvas.height); // Draw the webcam feed on the canvas\n\n if (pose) {\n const minPartConfidence = 0.5;\n tmPose.drawKeypoints(pose.keypoints, minPartConfidence, ctx); // Draw keypoints\n tmPose.drawSkeleton(pose.keypoints, minPartConfidence, ctx); // Draw skeleton\n }\n }\n}\n```\n\n#### CSS Adjustments (if needed)\n\nEnsure the canvas is styled correctly in `style.css`:\n\n```css\ncanvas {\n position: absolute; \n top: 0;\n left: 0;\n z-index: 1; \n width: 100%; /* Make canvas full width */\n height: 100%; /* Make canvas full height */\n}\n```\n\n### Summary of Changes\n- **Canvas Size**: The canvas is now set to the full window size to ensure it displays correctly.\n- **Webcam Drawing**: The `drawPose` function clears the canvas and draws the webcam feed, allowing for a proper display.\n- **CSS**: The canvas is set to occupy the full width and height of the window.\n\nAfter making these changes, the webcam should display correctly on the canvas background. Please let me know if you still encounter issues or if you need further assistance!","project_id":8587,"created_at":"2025-06-26T16:58:41.249791Z","output_tokens":782,"sender":"ai","code_id":257551,"deleted":0,"input_tokens":3637,"id":152826},{"message":"webcam box is still hidden, could it be behind the checkered background?","project_id":8587,"created_at":"2025-06-26T16:59:18.639681Z","output_tokens":null,"sender":"human","code_id":257558,"deleted":0,"input_tokens":null,"id":152827},{"message":"Yes, the webcam feed might be hidden behind the checkered background if the drawing order isn't set correctly. In your current setup, you're drawing the checkered background directly in the `draw` function, which is executed every frame. If the webcam feed is drawn after that, it will be obscured.\n\nTo ensure that the webcam feed is displayed on top of the checkered background, follow these steps:\n\n### 1. Update the `draw` Function\n\nModify the `draw` function to first draw the checkered background, and then call the `drawPose` function to draw the webcam feed and the pose overlays.\n\nHere's the updated `draw` function:\n\n```javascript\n// script.js\nfunction draw() {\n drawCheckeredBackground(); // Draw the checkered background first\n if (webcam && webcam.canvas) {\n drawPose(); // Call drawPose to draw webcam feed and overlay poses\n }\n}\n```\n\n### 2. Update the `drawPose` Function\n\nChange the `drawPose` function to be called without parameters, as it will reference the webcam directly:\n\n```javascript\nfunction drawPose() {\n if (webcam.canvas) {\n ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear the canvas for each frame\n ctx.drawImage(webcam.canvas, 0, 0, canvas.width, canvas.height); // Draw the webcam feed on the canvas\n\n const { pose } = await model.estimatePose(webcam.canvas);\n if (pose) {\n const minPartConfidence = 0.5;\n tmPose.drawKeypoints(pose.keypoints, minPartConfidence, ctx); // Draw keypoints\n tmPose.drawSkeleton(pose.keypoints, minPartConfidence, ctx); // Draw skeleton\n }\n }\n}\n```\n\n### Summary of Changes\n- The `draw` function now ensures the checkered background is drawn first.\n- The `drawPose` function is modified to draw the webcam feed and poses directly on top of the background.\n\n### Final Code Adjustments\n\nMake sure your `script.js` file reflects these changes. After making these adjustments, the webcam feed should be displayed correctly on top of the checkered background.\n\nLet me know if this resolves the issue or if you need further assistance!","project_id":8587,"created_at":"2025-06-26T16:59:19.354119Z","output_tokens":522,"sender":"ai","code_id":257558,"deleted":0,"input_tokens":3736,"id":152828},{"message":"Errors:\n%c * Tone.js v14.8.39 * ,webgl backend was already registered. Reusing existing backend factory.,cpu backend was already registered. Reusing existing backend factory.,Platform browser has already been set. Overwriting the platform with [object Object].,\n🌸 p5.js says: p5 had problems creating the global function \"loop\", possibly because your code is already using that name as a variable. You may want to rename your variable to something else. (http://p5js.org/reference/#/p5/loop),Uncaught TypeError: Cannot read properties of undefined (reading 'clearRect') at 102:13 in script.js\n Errors:\n%c * Tone.js v14.8.39 * \nwebgl backend was already registered. Reusing existing backend factory.\ncpu backend was already registered. Reusing existing backend factory.\nPlatform browser has already been set. Overwriting the platform with [object Object].\n\n🌸 p5.js says: p5 had problems creating the global function \"loop\", possibly because your code is already using that name as a variable. You may want to rename your variable to something else. (http://p5js.org/reference/#/p5/loop)\nUncaught TypeError: Cannot read properties of undefined (reading 'clearRect') at 102:13 in script.js","project_id":8587,"created_at":"2025-06-26T16:59:36.415776Z","output_tokens":null,"sender":"client_script","code_id":257562,"deleted":0,"input_tokens":null,"id":152829},{"message":"The errors you're encountering are related to the following issues in your code:\n\n1. **Global Function Conflict**: The warning about `p5.js` having problems creating the global function \"loop\" indicates that you have a variable named `loop` in your code, which conflicts with a built-in p5.js function. You need to rename your `loop` function.\n\n2. **Undefined Context**: The error `Cannot read properties of undefined (reading 'clearRect')` suggests that the `ctx` variable, which is supposed to hold the canvas context, is not being set correctly when you call `drawPose`. This could be due to the order of execution or how you're trying to access the context.\n\n### Here’s how to fix these issues:\n\n#### Step 1: Rename the `loop` function\n\nRename the `loop` function to something like `poseLoop`. Update all calls to this function accordingly.\n\n```javascript\nasync function poseLoop(timestamp) { // Renamed function\n webcam.update();\n await predict();\n window.requestAnimationFrame(poseLoop); // Changed here\n}\n```\n\n#### Step 2: Ensure the `ctx` variable is set\n\nMake sure `ctx` is being assigned correctly in the `init` function before you call `drawPose`. \n\nHere's the updated `init` function:\n\n```javascript\nasync function init() {\n const modelURL = URL + \"model.json\";\n const metadataURL = URL + \"metadata.json\";\n\n model = await tmPose.load(modelURL, metadataURL);\n maxPredictions = model.getTotalClasses();\n\n const size = 200; // Size of the webcam feed\n const flip = true; // whether to flip the webcam\n webcam = new tmPose.Webcam(size, size, flip); // Set webcam size\n await webcam.setup(); // request access to the webcam\n await webcam.play();\n window.requestAnimationFrame(poseLoop); // Start the pose loop\n\n const canvas = document.getElementById(\"canvas\");\n canvas.width = windowWidth; // Set canvas width to window width\n canvas.height = windowHeight; // Set canvas height to window height\n ctx = canvas.getContext(\"2d\"); // Set the canvas context here\n labelContainer = document.getElementById(\"label-container\");\n for (let i = 0; i < maxPredictions; i++) {\n labelContainer.appendChild(document.createElement(\"div\"));\n }\n}\n```\n\n#### Step 3: Update `drawPose` Function\n\nEnsure that `drawPose` is called with the correct `pose` parameter from `predict`. Here’s an updated `predict` function:\n\n```javascript\nasync function predict() {\n const { pose, posenetOutput } = await model.estimatePose(webcam.canvas);\n const prediction = await model.predict(posenetOutput);\n\n for (let i = 0; i < maxPredictions; i++) {\n const classPrediction = prediction[i].className + \": \" + prediction[i].probability.toFixed(2);\n labelContainer.childNodes[i].innerHTML = classPrediction;\n\n // Add actions based on pose\n if (prediction[i].probability > 0.5) {\n handlePose(prediction[i].className);\n }\n }\n\n drawPose(pose); // Pass the pose correctly\n}\n```\n\n### Summary of Changes\n1. **Renamed the `loop` function to `poseLoop` to avoid conflict with p5.js.**\n2. **Ensured the `ctx` variable is assigned before being used.**\n3. **Updated the `predict` function to correctly call `drawPose` with the pose.**\n\nAfter making these changes, your code should work without the mentioned errors. Let me know if you need further assistance!","project_id":8587,"created_at":"2025-06-26T16:59:37.267958Z","output_tokens":836,"sender":"ai","code_id":257562,"deleted":0,"input_tokens":4016,"id":152830},{"message":"","project_id":8587,"created_at":"2025-06-26T17:00:10.661633Z","output_tokens":null,"sender":"client_script","code_id":257570,"deleted":0,"input_tokens":null,"id":152834},{"message":"","project_id":8587,"created_at":"2025-11-04T00:42:58.864390Z","output_tokens":null,"sender":"client_script","code_id":257570,"deleted":0,"input_tokens":null,"id":177738}],"assets":[],"messages_sent":9,"comments":[],"steps":[]}