From 2d9aa012d817aa90fbd65977705ad73cc1c44f87 Mon Sep 17 00:00:00 2001 From: raghib112 Date: Mon, 17 Mar 2025 22:06:23 +0600 Subject: [PATCH 1/2] Study-Tracker Study Tracker is a Chrome extension that uses face detection and expression recognition to monitor your study sessions. It tracks the time you spend studying and records your dominant facial expression during each session. The extension aggregates your study data by day and displays a 7-day history, giving you insights into your study habits and mood over time. --- submissions/LogIT/StudyTracker/README.md | 119 ++++++++ submissions/LogIT/StudyTracker/alert.mp3 | Bin 0 -> 409082 bytes submissions/LogIT/StudyTracker/background.js | 11 + submissions/LogIT/StudyTracker/content.js | 9 + .../LogIT/StudyTracker/face-api.min.js | 1 + submissions/LogIT/StudyTracker/gsap.min.js.1 | 11 + submissions/LogIT/StudyTracker/icon.png | Bin 0 -> 80160 bytes .../LogIT/StudyTracker/icons/icon128.png | Bin 0 -> 80160 bytes .../LogIT/StudyTracker/icons/icon16.png | Bin 0 -> 80160 bytes .../LogIT/StudyTracker/icons/icon28.png | Bin 0 -> 80160 bytes .../LogIT/StudyTracker/icons/icon48.png | Bin 0 -> 80160 bytes .../LogIT/StudyTracker/libs/blazeface.min.js | 17 ++ .../LogIT/StudyTracker/libs/gsap.min.js | 11 + .../StudyTracker/libs/tf-backend-wasm.min.js | 18 ++ .../LogIT/StudyTracker/libs/tf-core.min.js | 18 ++ 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.../LogIT/StudyTracker/testing/index.html | 176 +++++++++++ .../LogIT/StudyTracker/testing/manifest.json | 27 ++ 34 files changed, 960 insertions(+) create mode 100644 submissions/LogIT/StudyTracker/README.md create mode 100644 submissions/LogIT/StudyTracker/alert.mp3 create mode 100644 submissions/LogIT/StudyTracker/background.js create mode 100644 submissions/LogIT/StudyTracker/content.js create mode 100644 submissions/LogIT/StudyTracker/face-api.min.js create mode 100644 submissions/LogIT/StudyTracker/gsap.min.js.1 create mode 100644 submissions/LogIT/StudyTracker/icon.png create mode 100644 submissions/LogIT/StudyTracker/icons/icon128.png create mode 100644 submissions/LogIT/StudyTracker/icons/icon16.png create mode 100644 submissions/LogIT/StudyTracker/icons/icon28.png create mode 100644 submissions/LogIT/StudyTracker/icons/icon48.png create mode 100644 submissions/LogIT/StudyTracker/libs/blazeface.min.js create mode 100644 submissions/LogIT/StudyTracker/libs/gsap.min.js create mode 100644 submissions/LogIT/StudyTracker/libs/tf-backend-wasm.min.js create mode 100644 submissions/LogIT/StudyTracker/libs/tf-core.min.js create mode 100644 submissions/LogIT/StudyTracker/libs/tf.min.js create mode 100644 submissions/LogIT/StudyTracker/manifest.json create mode 100644 submissions/LogIT/StudyTracker/models/face_expression_model-shard1 create mode 100644 submissions/LogIT/StudyTracker/models/face_expression_model-weights_manifest.json create mode 100644 submissions/LogIT/StudyTracker/models/face_landmark_68_model-shard1 create mode 100644 submissions/LogIT/StudyTracker/models/face_landmark_68_model-weights_manifest.json create mode 100644 submissions/LogIT/StudyTracker/models/face_landmark_68_tiny_model-shard1 create mode 100644 submissions/LogIT/StudyTracker/models/face_landmark_68_tiny_model-weights_manifest.json create mode 100644 submissions/LogIT/StudyTracker/models/face_recognition_model-shard1 create mode 100644 submissions/LogIT/StudyTracker/models/face_recognition_model-shard2 create mode 100644 submissions/LogIT/StudyTracker/models/face_recognition_model-weights_manifest.json create mode 100644 submissions/LogIT/StudyTracker/models/tiny_face_detector_model-shard1 create mode 100644 submissions/LogIT/StudyTracker/models/tiny_face_detector_model-weights_manifest.json create mode 100644 submissions/LogIT/StudyTracker/popup.html create mode 100644 submissions/LogIT/StudyTracker/popup.js create mode 100644 submissions/LogIT/StudyTracker/styles.css create mode 100644 submissions/LogIT/StudyTracker/tailwind.js create mode 100644 submissions/LogIT/StudyTracker/testing/index.html create mode 100644 submissions/LogIT/StudyTracker/testing/manifest.json diff --git a/submissions/LogIT/StudyTracker/README.md b/submissions/LogIT/StudyTracker/README.md new file mode 100644 index 00000000..0f0fce39 --- /dev/null +++ b/submissions/LogIT/StudyTracker/README.md @@ -0,0 +1,119 @@ + +# Study Tracker Chrome Extension + +Study Tracker is a Chrome extension that uses face detection and expression recognition to monitor your study sessions. It tracks the time you spend studying and records your dominant facial expression during each session. The extension aggregates your study data by day and displays a 7-day history, giving you insights into your study habits and mood over time. + +## Table of Contents + +- [Features](#features) +- [Installation](#installation) +- [Usage](#usage) +- [How It Works](#how-it-works) +- [Dependencies](#dependencies) +- [Project Structure](#project-structure) +- [Customization](#customization) +- [Troubleshooting](#troubleshooting) +- [License](#license) + +## Features + +- **Face Detection & Expression Recognition:** Uses `face-api.js` to detect faces, facial landmarks, and expressions. +- **Study Time Tracking:** Accumulates study time every second when your face is detected. +- **Daily Aggregation:** Records study data per day with total study time and the dominant facial expression. +- **7-Day History:** Displays your study history for the last 7 days, including study duration and mood. +- **Toggle Overlays:** Option to show or hide detection overlays (landmarks, bounding boxes, expression labels). +- **Alert System:** Plays an alert sound if no face is detected for 30 consecutive seconds. + +## Installation + +1. **Clone or Download the Repository:** + ```bash + git clone https://github.com/raghib112/Study-Tracker.git + ``` +2. **Place Models:** + - Download the required models from [face-api.js models](https://github.com/justadudewhohacks/face-api.js/tree/master/weights) and place them in the `/models` directory of the extension. + +3. **Add Alert Sound:** + - Ensure that you have an `alert.mp3` file in the root of the extension directory. This sound will play if no face is detected for 30 seconds. + +4. **Load the Extension in Chrome:** + - Open Chrome and navigate to `chrome://extensions/`. + - Enable "Developer mode" (top right). + - Click "Load unpacked" and select your extension’s directory. + +## Usage + +1. Click on the Study Tracker icon in your Chrome toolbar. +2. The extension will open a popup with a video feed from your webcam. +3. The extension will: + - Detect your face and update the study time in real time. + - Display your current dominant facial expression alongside the accumulated study time. + - Aggregate your study data per day. +4. Use the **Toggle Landmarks** button to show/hide detection overlays (bounding boxes, landmarks, and expression labels). +5. If no face is detected for 30 seconds, an alert sound will play to remind you to start studying. + +## How It Works + +- **Face Detection:** The extension uses `face-api.js` to perform real-time face detection, landmark detection, and expression recognition. +- **Study Time Tracking:** Each time a face is detected, the extension increments the study timer (in seconds) and updates the daily record stored in `localStorage`. +- **Daily Aggregation:** Study data is saved in an object keyed by date. For each day, it stores the total time studied (in seconds) and tallies the count of each detected facial expression. +- **7-Day History:** The extension processes the daily records to show the total study time (converted to hours, minutes, and seconds) and the dominant expression for each of the last 7 days. +- **No-Face Alert:** If no face is detected continuously for 30 seconds, an alert sound (`alert.mp3`) is played. + +## Dependencies + +- [face-api.js](https://github.com/justadudewhohacks/face-api.js) +- [Tailwind CSS](https://tailwindcss.com/) via the Tailwind Browser CDN + +## Project Structure + + + +``` +study-tracker-extension/ +├── manifest.json # Chrome extension manifest file +├── popup.html # HTML file for the extension's popup UI +├── script.js # JavaScript file containing detection and tracking logic +├── face-api.min.js # Face API library file +├── models/ # Directory containing face-api.js models (downloaded separately) +├── alert.mp3 # Alert sound file for no-face detection +└── README.md # This file +``` + +## Customization + +- **Study Duration and Alert Timing:** + - The extension tracks study time continuously. You can adjust the 30-second no-face alert interval by modifying the value in `popup.js` (`30000` ms). +- **UI Styling:** + - The popup uses Tailwind CSS for a modern look. Customize styles in `popup.html` or add your own CSS as needed. + +## Troubleshooting + +- **Models Not Loading:** + - Ensure that the `/models` directory is correctly placed and contains the necessary model files. +- **Webcam Permissions:** + - Make sure your browser has permission to access the webcam. +- **Alert Sound Not Playing:** + - Confirm that `alert.mp3` is in the extension directory and that your browser supports the audio format. +- **Performance Issues:** + - The extension throttles detection to every 500ms. Adjust this value in `popup.js` if needed. + +## License + +This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details. + +--- + +Feel free to contribute, open issues, or suggest improvements! + diff --git a/submissions/LogIT/StudyTracker/alert.mp3 b/submissions/LogIT/StudyTracker/alert.mp3 new file mode 100644 index 0000000000000000000000000000000000000000..185fc313742022aefd69a510d0bd4946a7ef7b67 GIT binary patch literal 409082 zcmeFacTf{;9Phg+ga82&nh7;jK>?G{u_cs%5Tq+8YC=a45KvK3lK`O@I!XelQHt1U zDp*q>6hlWvMFl}rL`AWS=Hh$i-aqb~Kkm%?p5t*YJInx^`905fzu*1r?z8*sWSxr@ z6!^U)2Kcz*7k(=P0K|#p=k4Z?bt8GLTki%0tP3D4e6W1s0}{p6F95rdcSpbMxSOW(DMJxb-7JjN1{$2RfnhpR^3dzg$pSr-s<^MPb7Q^{JE|UM9f)@Gx z-|6=Mg1#2{{a;|}-_ztGzkg3w|5K%l{QggE`TxtxMSlPCq!;=9%LDv(@)!C2cmDnH z>P3G4cm#h^z#_kY(*6IS??rz90~7z=CKmbqd$apT`69o6d4T^;{vyBs&c8oiy~yt$ zkKj)VSmgIly8j>ay~yu>VB+7~#3H|cZ+8DEU*z{M5Aff~U*z}S`S-`G7y13;5&TI3 zi~Rmc_y2>w7y11UO#FMBSmgKb&F&xNi~RoO0scGri~RmO|NeOOBENq;fk>5Y* z{(sQ-BESEEiGObsi~Rn*+5Mw@k>9^Oz<(!yk>7vk-yg4D9^JyML4~^81$u`0wN|^84@n`{UJ%{QmI>{-l6Ke*dKV|3Tl2{Qd_f 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+chrome.runtime.onMessage.addListener((message, sender, sendResponse) => { + if (message.action === "logStudyTime") { + console.log(`Logging study time: ${message.time} seconds`); + sendResponse({ status: "Time logged successfully!" }); + } +}); diff --git a/submissions/LogIT/StudyTracker/content.js b/submissions/LogIT/StudyTracker/content.js new file mode 100644 index 00000000..d54a9e8b --- /dev/null +++ b/submissions/LogIT/StudyTracker/content.js @@ -0,0 +1,9 @@ +setInterval(() => { + chrome.runtime.sendMessage({ action: "logStudyTime", time: 10 }, response => { + if (chrome.runtime.lastError) { + console.warn("Background script is inactive."); + } else { + console.log(response.status); + } + }); +}, 10000); // Send data every 10 seconds diff --git a/submissions/LogIT/StudyTracker/face-api.min.js b/submissions/LogIT/StudyTracker/face-api.min.js new file mode 100644 index 00000000..bc22120d --- /dev/null +++ b/submissions/LogIT/StudyTracker/face-api.min.js @@ -0,0 +1 @@ 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coords[3];\n\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < "+e+"; wR++) {\n float dyR = float(dyRCorner + wR) / "+r+".0;\n\n if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = "+e+" - 1 - wR;\n\n for (int wC = 0; wC < "+n+"; wC++) {\n float dyC = float(dyCCorner + wC) / "+o+".0;\n\n if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = "+n+" - 1 - wC;\n\n for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n "},er=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.padInfo.front,i=t.padInfo.top,a=t.padInfo.left;this.userCode="\n void main() {\n ivec5 coords = getOutputCoords();\n int wF = coords.x;\n int wR = coords.y;\n int wC = coords.z;\n int d1 = coords.w;\n int d2 = coords.u;\n\n float dotProd = 0.0;\n\n for (int b = 0; b < "+t.batchSize+"; b++) {\n for (int yF = 0; yF < "+t.outDepth+"; yF++) {\n int xF = wF + yF * "+e+" - "+o+";\n\n if (xF < 0 || xF >= "+t.inDepth+") {\n continue;\n }\n\n for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n int xR = wR + yR * "+n+" - "+i+";\n\n if (xR < 0 || xR >= "+t.inHeight+") {\n continue;\n }\n\n for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n int xC = wC + yC * "+r+" - "+a+";\n\n if (xC < 0 || xC >= "+t.inWidth+") {\n continue;\n }\n\n float dyValue = getDy(b, yF, yR, yC, d2);\n float xValue = getX(b, xF, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n "},nr=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,i=t.strideHeight,a=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,c=r-1-t.padInfo.left;this.userCode="\n const ivec3 pads = ivec3("+s+", "+u+", "+c+");\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d1 = coords.u;\n\n\n ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n int dyFCorner = dyCorner.x;\n int dyRCorner = dyCorner.y;\n int dyCCorner = dyCorner.z;\n\n float dotProd = 0.0;\n for (int wF = 0; wF < "+e+"; wF++) {\n float dyF = float(dyFCorner + wF) / "+o+".0;\n\n if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n continue;\n }\n int idyF = int(dyF);\n\n int wFPerm = "+e+" - 1 - wF;\n\n for (int wR = 0; wR < "+n+"; wR++) {\n float dyR = float(dyRCorner + wR) / "+i+".0;\n\n if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = "+n+" - 1 - wR;\n\n for (int wC = 0; wC < "+r+"; wC++) {\n float dyC = float(dyCCorner + wC) / "+a+".0;\n\n if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = "+r+" - 1 - wC;\n\n for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n float xValue = getDy(batch, idyF, idyR, idyC, d2);\n float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n dotProd += xValue * wValue;\n }\n }\n }\n }\n setOutput(dotProd);\n }\n "},rr=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,i=t.outChannels/t.inChannels;this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int wR = coords.x;\n int wC = coords.y;\n int d1 = coords.z;\n int dm = coords.w;\n int d2 = d1 * "+i+" + dm;\n\n float dotProd = 0.0;\n\n // TODO: Vec4 over the batch size\n for (int b = 0; b < "+t.batchSize+"; b++) {\n for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n int xR = wR + yR * "+e+" - "+r+";\n\n if (xR < 0 || xR >= "+t.inHeight+") {\n continue;\n }\n\n for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n int xC = wC + yC * "+n+" - "+o+";\n\n if (xC < 0 || xC >= "+t.inWidth+") {\n continue;\n }\n\n float dyValue = getDy(b, yR, yC, d2);\n float xValue = getX(b, xR, xC, d1);\n dotProd += (xValue * dyValue);\n }\n }\n }\n setOutput(dotProd);\n }\n "},or=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,i=e-1-t.padInfo.top,a=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n const ivec2 pads = ivec2("+i+", "+a+");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d1 = coords[3];\n ivec2 dyCorner = coords.yz - pads;\n int dyRCorner = dyCorner.x;\n int dyCCorner = dyCorner.y;\n\n float dotProd = 0.0;\n\n for (int wR = 0; wR < "+e+"; wR++) {\n float dyR = float(dyRCorner + wR) / "+r+".0;\n\n if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n continue;\n }\n int idyR = int(dyR);\n\n int wRPerm = "+e+" - 1 - wR;\n\n for (int wC = 0; wC < "+n+"; wC++) {\n float dyC = float(dyCCorner + wC) / "+o+".0;\n\n if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n fract(dyC) > 0.0) {\n continue;\n }\n int idyC = int(dyC);\n\n int wCPerm = "+n+" - 1 - wC;\n\n // TODO: Vec4 over the channelMul\n for (int dm = 0; dm < "+s+"; dm++) {\n int d2 = d1 * "+s+" + dm;\n float xValue = getDy(batch, idyR, idyC, d2);\n float wValue = getW(wRPerm, wCPerm, d1, dm);\n dotProd += xValue * wValue;\n }\n }\n }\n setOutput(dotProd);\n }\n "},ir=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.top,n=t.padInfo.left,r=t.strideHeight,o=t.strideWidth,i=t.dilationHeight,a=t.dilationWidth,s=t.filterHeight,u=t.filterWidth,c=4*Math.floor(t.inChannels/4),l=t.inChannels%4;this.userCode="\n const ivec2 strides = ivec2("+r+", "+o+");\n const ivec2 pads = ivec2("+e+", "+n+");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d2 = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n for (int wR = 0; wR < "+s+"; wR++) {\n int xR = xRCorner + wR * "+i+";\n\n if (xR < 0 || xR >= "+t.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+u+"; wC++) {\n int xC = xCCorner + wC * "+a+";\n\n if (xC < 0 || xC >= "+t.inWidth+") {\n continue;\n }\n\n for (int d1 = 0; d1 < "+c+"; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xR, xC, d1),\n getX(batch, xR, xC, d1 + 1),\n getX(batch, xR, xC, d1 + 2),\n getX(batch, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wR, wC, d1, d2),\n getW(wR, wC, d1 + 1, d2),\n getW(wR, wC, d1 + 2, d2),\n getW(wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if ("+(1===l)+") {\n dotProd +=\n getX(batch, xR, xC, "+c+") *\n getW(wR, wC, "+c+", d2);\n } else if ("+(2===l)+") {\n vec2 xValues = vec2(\n getX(batch, xR, xC, "+c+"),\n getX(batch, xR, xC, "+c+" + 1)\n );\n vec2 wValues = vec2(\n getW(wR, wC, "+c+", d2),\n getW(wR, wC, "+c+" + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if ("+(3===l)+") {\n vec3 xValues = vec3(\n getX(batch, xR, xC, "+c+"),\n getX(batch, xR, xC, "+c+" + 1),\n getX(batch, xR, xC, "+c+" + 2)\n );\n vec3 wValues = vec3(\n getW(wR, wC, "+c+", d2),\n getW(wR, wC, "+c+" + 1, d2),\n getW(wR, wC, "+c+" + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n setOutput(dotProd);\n }\n "},ar=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,o=t.strideDepth,i=t.strideHeight,a=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterDepth,h=t.filterHeight,p=t.filterWidth,f=4*Math.floor(t.inChannels/4),d=t.inChannels%4;this.userCode="\n const ivec3 strides = ivec3("+o+", "+i+", "+a+");\n const ivec3 pads = ivec3("+e+", "+n+", "+r+");\n\n void main() {\n ivec5 coords = getOutputCoords();\n int batch = coords.x;\n int d2 = coords.u;\n\n ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n int xFCorner = xFRCCorner.x;\n int xRCorner = xFRCCorner.y;\n int xCCorner = xFRCCorner.z;\n\n // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n // y(yF, yR, yC, d2). ? = to be determined. : = across all\n // values in that axis.\n float dotProd = 0.0;\n for (int wF = 0; wF < "+l+"; wF++) {\n int xF = xFCorner + wF * "+s+";\n\n if (xF < 0 || xF >= "+t.inDepth+") {\n continue;\n }\n\n for (int wR = 0; wR < "+h+"; wR++) {\n int xR = xRCorner + wR * "+u+";\n\n if (xR < 0 || xR >= "+t.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+p+"; wC++) {\n int xC = xCCorner + wC * "+c+";\n\n if (xC < 0 || xC >= "+t.inWidth+") {\n continue;\n }\n\n for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n vec4 xValues = vec4(\n getX(batch, xF, xR, xC, d1),\n getX(batch, xF, xR, xC, d1 + 1),\n getX(batch, xF, xR, xC, d1 + 2),\n getX(batch, xF, xR, xC, d1 + 3)\n );\n vec4 wValues = vec4(\n getW(wF, wR, wC, d1, d2),\n getW(wF, wR, wC, d1 + 1, d2),\n getW(wF, wR, wC, d1 + 2, d2),\n getW(wF, wR, wC, d1 + 3, d2)\n );\n\n dotProd += dot(xValues, wValues);\n }\n\n if ("+(1===d)+") {\n dotProd +=\n getX(batch, xF, xR, xC, "+f+") *\n getW(wF, wR, wC, "+f+", d2);\n } else if ("+(2===d)+") {\n vec2 xValues = vec2(\n getX(batch, xF, xR, xC, "+f+"),\n getX(batch, xF, xR, xC, "+f+" + 1)\n );\n vec2 wValues = vec2(\n getW(wF, wR, wC, "+f+", d2),\n getW(wF, wR, wC, "+f+" + 1, d2)\n );\n dotProd += dot(xValues, wValues);\n } else if ("+(3===d)+") {\n vec3 xValues = vec3(\n getX(batch, xF, xR, xC, "+f+"),\n getX(batch, xF, xR, xC, "+f+" + 1),\n getX(batch, xF, xR, xC, "+f+" + 2)\n );\n vec3 wValues = vec3(\n getW(wF, wR, wC, "+f+", d2),\n getW(wF, wR, wC, "+f+" + 1, d2),\n getW(wF, wR, wC, "+f+" + 2, d2)\n );\n dotProd += dot(xValues, wValues);\n }\n }\n }\n }\n setOutput(dotProd);\n }\n "},sr=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.inHeight,n=t.inWidth,r=t.padInfo.top,o=t.padInfo.left,i=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,u=t.dilationWidth,c=t.filterHeight,l=t.filterWidth,h=t.outChannels/t.inChannels;this.userCode="\n const ivec2 strides = ivec2("+i+", "+a+");\n const ivec2 pads = ivec2("+r+", "+o+");\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords.x;\n ivec2 xRCCorner = coords.yz * strides - pads;\n int d2 = coords.w;\n int d1 = d2 / "+h+";\n int q = d2 - d1 * "+h+";\n\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n // ? = to be determined. : = across all values in that axis.\n float dotProd = 0.0;\n // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\n for (int wR = 0; wR < "+c+"; wR++) {\n int xR = xRCorner + wR * "+s+";\n\n if (xR < 0 || xR >= "+e+") {\n continue;\n }\n\n for (int wC = 0; wC < "+l+"; wC++) {\n int xC = xCCorner + wC * "+u+";\n\n if (xC < 0 || xC >= "+n+") {\n continue;\n }\n\n float xVal = getX(batch, xR, xC, d1);\n float wVal = getW(wR, wC, d1, q);\n dotProd += xVal * wVal;\n }\n }\n setOutput(dotProd);\n }\n "},ur=function(t){this.variableNames=["x","W"],this.usesPackedTextures=!0,this.outputShape=t.outShape;for(var e=t.inHeight,n=t.inWidth,r=t.padInfo.top,o=t.padInfo.left,i=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,u=t.dilationWidth,c=t.filterHeight,l=t.filterWidth,h=l,p="int xR; int xC; int xCOffset;",f=0;f= 0 && xR < "+e+" && xCOffset >= 0 && xCOffset < "+n+") {\n xTexelR"+f+"C"+d+" = getX(batch, xR, xCOffset, d1);\n } else {\n xTexelR"+f+"C"+d+" = vec4(0.);\n }\n\n xCOffset = xC + 1 - 2;\n if(xR >= 0 && xR < "+e+" && xCOffset >= 0 && xCOffset < "+n+") {\n vec4 previous = getX(batch, xR, xCOffset, d1);\n xR"+f+"C"+d+" = vec4(previous.zw, xTexelR"+f+"C"+d+".xy);\n } else {\n xR"+f+"C"+d+" = vec4(0, 0, xTexelR"+f+"C"+d+".xy);\n }\n ":"\n if(xR >= 0 && xR < "+e+" && xC >= 0 && xC < "+n+") {\n xTexelR"+f+"C"+d+" = getX(batch, xR, xC, d1);\n } else {\n xTexelR"+f+"C"+d+" = vec4(0.);\n }\n\n xR"+f+"C"+d+" = xTexelR"+f+"C"+d+";\n ",d+1= 0 && xR < "+e+" &&\n xCOffset >= 0 && xCOffset < "+n+") {\n xTexelR"+f+"C"+(d+2)+" = getX(batch, xR, xCOffset, d1);\n }\n ",1= 0 && xR < "+e+" &&\n xCOffset >= 0 && xCOffset < "+n+") {\n xTexelR"+f+"C"+d+" = getX(batch, xR, xCOffset, d1);\n } else {\n xTexelR"+f+"C"+d+" = vec4(0.);\n }\n "),p+="\n xR"+f+"C"+(d+1)+" = vec4(\n xTexelR"+f+"C"+d+".zw, xTexelR"+f+"C"+(d+2)+".xy);\n "):p+="\n xCOffset = xC + "+m+";\n\n if(xR >= 0 && xR < "+e+" &&\n xCOffset >= 0 && xCOffset < "+n+") {\n xTexelR"+f+"C"+(d+2)+" = getX(batch, xR, xCOffset, d1);\n }\n\n xR"+f+"C"+(d+1)+" = xTexelR"+f+"C"+(d+2)+";\n "}}else d= 0 && xR < "+e+") {\n ",o%2==1?(p+="\n xCOffset = xC + 1 - "+a+";\n if(xCOffset >= 0 && xCOffset < "+n+") {\n xTexelR"+f+"C"+d+" = getX(batch, xR, xCOffset, d1);\n } else {\n xTexelR"+f+"C"+d+" = vec4(0.);\n }\n\n if(xC + 1 >= 0 && xC + 1 < "+n+") {\n xTexelR"+f+"C"+(d+2)+" = getX(batch, xR, xC + 1, d1);\n } else {\n xTexelR"+f+"C"+(d+2)+" = vec4(0.);\n }\n\n xR"+f+"C"+d+" = vec4(\n xTexelR"+f+"C"+d+".zw, xTexelR"+f+"C"+(d+2)+".zw);\n ",d+1= 0 && xCOffset < "+n+") {\n final = getX(batch, xR, xCOffset, d1);\n }\n xR"+f+"C"+(d+1)+" = vec4(xTexelR"+f+"C"+(d+2)+".xy, final.xy);\n ")):(p+="\n if(xC >= 0 && xC < "+n+") {\n xTexelR"+f+"C"+d+" = getX(batch, xR, xC, d1);\n } else {\n xTexelR"+f+"C"+d+" = vec4(0.);\n }\n\n xCOffset = xC + "+a+";\n if(xCOffset >= 0 && xCOffset < "+n+") {\n xTexelR"+f+"C"+(d+2)+" = getX(batch, xR, xCOffset, d1);\n } else {\n xTexelR"+f+"C"+(d+2)+" = vec4(0.);\n }\n\n xR"+f+"C"+d+" = vec4(\n xTexelR"+f+"C"+d+".xy, xTexelR"+f+"C"+(d+2)+".xy);\n ",d+1= "+i+") {\n return;\n }\n\n float height_scale = "+y+";\n float width_scale = "+E+";\n\n float in_y = "+x+";\n if( in_y < 0.0 || in_y > "+d+" ) {\n setOutput(float("+o+"));\n return;\n }\n float in_x = "+C+";\n if( in_x < 0.0 || in_x > "+v+" ) {\n setOutput(float("+o+"));\n return;\n }\n\n vec2 sourceFracIndexCR = vec2(in_x,in_y);\n if("+p+" == 1) {\n // Compute the four integer indices.\n ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n float top = topLeft + (topRight - topLeft) * fracCR.x;\n float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n float newValue = top + (bottom - top) * fracCR.y;\n setOutput(newValue);\n } else {\n // Compute the coordinators of nearest neighbor point.\n ivec2 sourceNearestCR = ivec2(floor(\n sourceFracIndexCR + vec2(0.5,0.5)));\n float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n setOutput(newValue);\n }\n }\n "},lr=function(t,e,n){this.variableNames=["x"];var r=(this.outputShape=t).length,o=t[t.length-1],i=n?"<":">";this.userCode="\n int getIndex(int i) {\n "+(n?"return "+o+" -i - 1;":"return i;")+"\n }\n\n void main() {\n "+Dn(r)+" coords = getOutputCoords();\n int end = "+hr(r,"coords")+";\n float val = 0.0;\n for (int i = "+o+" - 1; i >= 0; i -= 1) {\n int idx = getIndex(i);\n if (idx "+i+" end) {\n continue;\n }\n if (idx == end && "+e+") {\n continue;\n }\n "+hr(r,"coords")+" = idx;\n val += getX("+function(t,e){if(1===t)return""+e;if(2===t)return e+".x, "+e+".y";if(3===t)return e+".x, "+e+".y, "+e+".z";if(4===t)return e+".x, "+e+".y, "+e+".z, "+e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}(r,"coords")+");\n }\n setOutput(val);\n }\n "};function hr(t,e){if(1===t)return""+e;if(2===t)return e+".y";if(3===t)return e+".z";if(4===t)return e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}var pr=function(){function t(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode="\n void main() {\n ivec4 coords = getOutputCoords();\n int b = coords[0];\n int h = "+this.getHeightCoordString()+";\n int w = "+this.getWidthCoordString()+";\n int d = "+this.getDepthCoordString()+";\n\n int in_h = h / "+e+";\n int offset_h = imod(h, "+e+");\n int in_w = w / "+e+";\n int offset_w = imod(w, "+e+");\n int offset_d = (offset_h * "+e+" + offset_w) *\n "+this.getOutputDepthSize()+";\n int in_d = d + offset_d;\n\n float result = 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function(t,e){null==r.seedLoc&&(r.seedLoc=t.getUniformLocation(e,"seed")),t.gl.uniform1f(r.seedLoc,n)}},t}(),Uo=function(t,e,n,r){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode="\n void main() {\n ivec2 coords = getOutputCoords();\n int index = round(getIndices(coords.x));\n setOutput(mix(float("+r+"), float("+n+"),\n float(index == coords.y)));\n }\n "},Go=function(t){this.variableNames=["A"],this.isPackShader=!0;var e,n,r,o,i=(this.outputShape=t).length;if(0===i)this.userCode="\n void main() {\n setOutput(vec4(getA(), 0., 0., 0.));\n }\n ";else{var a=mn("rc",i),s=Dn(i),u=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",o=t-2;o= "+e[o],o= "+e+";\n bool rEdge = rp1 >= "+n+";\n "}(i,t[t.length-1],t[t.length-2],a),l=(n=a,r=(e=t).length,o=function(t,e){for(var n=[],r=0;r<=1;r++)for(var o=0;o<=1;o++){for(var i=(0===r?"r":"rp1")+", "+(0===o?"c":"cp1"),a=2;a= "+e[0]+" ? 0. : getA(rc + 1),\n 0, 0":"getA("+o[0]+"),\n cEdge ? 0. : getA("+o[1]+"),\n rEdge ? 0. : getA("+o[2]+"),\n rEdge || cEdge ? 0. : getA("+o[3]+")");this.userCode="\n void main() {\n "+s+" rc = getOutputCoords();\n\n if("+u+") {\n setOutput(vec4(0));\n } else {\n "+c+"\n\n setOutput(vec4("+l+"));\n }\n }\n "}};var Vo=function(n,t,e){this.variableNames=["x"],this.outputShape=t.map(function(t,e){return t[0]+n[e]+t[1]});var r=n.length,o=Dn(r),i=t.map(function(t){return t[0]}).join(","),a=t.map(function(t,e){return t[0]+n[e]}).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n "+o+" start = "+o+"("+i+");\n "+o+" end = "+o+"("+a+");\n\n void main() {\n "+o+" outC = getOutputCoords();\n if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n setOutput(float("+e+"));\n } else {\n "+o+" coords = outC - start;\n setOutput(getX("+s+"));\n }\n }\n ":"\n int start = "+i+";\n int end = "+a+";\n\n void main() {\n int outC = getOutputCoords();\n if (outC < start || outC >= end) {\n setOutput(float("+e+"));\n } else {\n setOutput(getX(outC - start));\n }\n }\n "},Ho=function(n,t,e){this.variableNames=["x"],this.usesPackedTextures=!0,this.outputShape=t.map(function(t,e){return t[0]+n[e]+t[1]});for(var r=n.length,o=Dn(r),i=t.map(function(t){return t[0]}).join(","),a=t.map(function(t,e){return t[0]+n[e]}).join(","),s=mn("rc",r),u=mn("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",h=[o+" rc = outputLoc;",s[r-1]+" += 1;\n if("+c+") {\n ",1===r?"":"}\n rc = outputLoc;\n "+s[r-2]+" += 1;\n if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":" "+s[r-1]+" += 1;\n if("+c+") {"],p=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",d=0,v=1===r?2:4;d= "+t.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+c+";\n wC += "+s+") {\n int xC = xCCorner + wC;\n\n if (xC < 0 || xC >= "+t.inWidth+") {\n continue;\n }\n\n float value = getX(batch, xR, xC, d);\n\n // If a min / max value has already been found, use it. If not,\n // use the current value.\n float currMinMaxValue = mix(\n value, minMaxValue, minMaxValueFound);\n if (value >= currMinMaxValue) {\n minMaxValue = value;\n minMaxValueFound = 1.0;\n minMaxPosition = wR * "+c+" + wC;\n }\n }\n }\n setOutput(float(minMaxPosition));\n }\n ";else{var d=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(d="avgValue / count");var v=4*Math.floor(r/4),m=r%4,g="\n if ("+p+") {\n avgValue += dot(values, ones);\n } else {\n minMaxValue = max(values, minMaxValue);\n }\n ";this.userCode="\n const ivec2 strides = ivec2("+o+", "+i+");\n const ivec2 pads = ivec2("+l+", "+h+");\n const float initializationValue = "+f+";\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float count = 0.0;\n\n float getValue(int batch, int xR, int xC, int d) {\n if (xC < 0 || xC >= "+t.inWidth+") {\n return initializationValue;\n }\n count += 1.0;\n return getX(batch, xR, xC, d);\n }\n\n void main() {\n ivec4 coords = getOutputCoords();\n int batch = coords[0];\n int d = coords[3];\n\n ivec2 xRCCorner = coords.yz * strides - pads;\n int xRCorner = xRCCorner.x;\n int xCCorner = xRCCorner.y;\n\n // max/min x(?, ?, d) to get y(yR, yC, d).\n // ? = to be determined\n vec4 minMaxValue = vec4("+f+");\n float avgValue = 0.0;\n count = 0.0;\n\n for (int wR = 0; wR < "+u+";\n wR += "+a+") {\n int xR = xRCorner + wR;\n\n if (xR < 0 || xR >= "+t.inHeight+") {\n continue;\n }\n\n for (int wC = 0; wC < "+v+"; wC += 4) {\n int xC = xCCorner + wC * "+s+";\n\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + "+s+", d),\n getValue(batch, xR, xC + 2 * "+s+", d),\n getValue(batch, xR, xC + 3 * "+s+", d)\n );\n\n "+g+"\n }\n\n int xC = xCCorner + "+v+";\n if ("+(1===m)+") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n "+g+"\n } else if ("+(2===m)+") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + "+s+", d),\n initializationValue,\n initializationValue\n );\n\n "+g+"\n } else if ("+(3===m)+") {\n vec4 values = vec4(\n getValue(batch, xR, xC, d),\n getValue(batch, xR, xC + "+s+", d),\n getValue(batch, xR, xC + 2 * "+s+", d),\n initializationValue\n );\n\n "+g+"\n }\n }\n setOutput("+d+");\n }\n "}},jo=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,o=t.inSize,i=Math.ceil(o/n);this.outputShape=[r,i];var a="0.0",s="";"prod"===e?a="1.0":"min"===e?(a="1.0 / 1e-20",s="min"):"max"===e&&(a="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var c=4*Math.floor(n/4),l=n%4,h="\n if ("+("sum"===e)+") {\n sumValue += dot(values, ones);\n } else if ("+("prod"===e)+") {\n vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n prodValue *= tmp[0] * tmp[1];\n } else {\n minMaxValue = "+s+"(values, minMaxValue);\n }\n ",p="vec4";"all"===e?(a="1.0",h="\n bool reducedAllValue = all(values);\n float floatedReducedAllValue = float(reducedAllValue);\n allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n ",p="bvec4"):"any"===e&&(a="0.0",h="\n bool reducedAnyValue = any(values);\n float floatedReducedAnyValue = float(reducedAnyValue);\n anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n ",p="bvec4");var f="";0= "+o+") {\n return initializationValue;\n }\n "),this.userCode="\n const float initializationValue = "+a+";\n const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n float getValue(int batch, int inIdx) {\n "+f+"\n return getX(batch, inIdx);\n }\n\n void main() {\n ivec2 coords = getOutputCoords();\n int batch = coords[0];\n int outIdx = coords[1];\n int inOffset = outIdx * "+n+";\n\n vec4 minMaxValue = vec4("+a+");\n float prodValue = 1.0;\n float sumValue = 0.0;\n float allValue = 1.0;\n float anyValue = 0.0;\n\n for (int i = 0; i < "+c+"; i += 4) {\n int inIdx = inOffset + i;\n "+p+" values = "+p+"(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n getValue(batch, inIdx + 3)\n );\n\n "+h+"\n }\n\n int inIdx = inOffset + "+c+";\n if ("+(1===l)+") {\n "+p+" values = "+p+"(\n getValue(batch, inIdx),\n initializationValue,\n initializationValue,\n initializationValue\n );\n\n "+h+"\n } else if ("+(2===l)+") {\n "+p+" values = "+p+"(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n initializationValue,\n initializationValue\n );\n\n "+h+"\n } else if ("+(3===l)+") {\n "+p+" values = "+p+"(\n getValue(batch, inIdx),\n getValue(batch, inIdx + 1),\n getValue(batch, inIdx + 2),\n initializationValue\n );\n\n "+h+"\n }\n setOutput("+u+");\n }\n "},$o=function(t,e){this.variableNames=["A"],this.usesPackedTextures=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var o="thisRC = rc;";r%2==1&&(o+="thisRC.z += 1;"),1= "+s+") {\n continue;\n }\n\n for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n int dyC = dyCOffset + startDyC;\n\n // Guard against the window exceeding the bounds of dy\n if (dyC < 0 || dyC >= "+u+") {\n continue;\n }\n\n float dxR = float(dyR) * heightScale;\n int topDxRIndex = int(floor(dxR));\n int bottomDxRIndex = int(min(ceil(dxR), "+(o-1)+".0));\n float dxRLerp = dxR - float(topDxRIndex);\n float inverseDxRLerp = 1.0 - dxRLerp;\n\n float dxC = float(dyC) * widthScale;\n int leftDxCIndex = int(floor(dxC));\n int rightDxCIndex = int(min(ceil(dxC), "+(i-1)+".0));\n float dxCLerp = dxC - float(leftDxCIndex);\n float inverseDxCLerp = 1.0 - dxCLerp;\n\n if (r == topDxRIndex && c == leftDxCIndex) {\n // topLeft\n accumulator +=\n getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n }\n\n if (r == topDxRIndex && c == rightDxCIndex) {\n // topRight\n accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n }\n\n if (r == bottomDxRIndex && c == leftDxCIndex) {\n // bottomLeft\n accumulator += getDy(b, dyR, dyC, 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1.0 : float("+n+");\n "));return this.compileAndRun(r,[t])},t.prototype.conv2dByMatMul=function(t,e,n){var r=t.shape,o=this.texData.get(t.dataId),i=n.inChannels,a=r[0]*r[1]*r[2],s=n.outChannels,u=(1===a||1===s)&&1e3 1 for depthToSpace, but was: "+e});var r=t.shape[0],o="NHWC"===n?t.shape[1]:t.shape[2],i="NHWC"===n?t.shape[2]:t.shape[3],a="NHWC"===n?t.shape[3]:t.shape[1],s=o*e,u=i*e,c=a/(e*e),l=new pr("NHWC"===n?[r,s,u,c]:[r,c,s,u],e,n);return this.compileAndRun(l,[t])},t.prototype.split=function(t,e,n){return pn(t,e,n)},t.prototype.scatterND=function(t,e,n){var r=Te(0,t,n),o=r.sliceRank,i=r.numUpdates,a=r.sliceSize,s=r.strides,u=r.outputSize,c=[u/a,a],l=t.reshape([i,o]),h=e.reshape([i,a]);if(0===u)return sn(Ge([]),n);var p=Ve(0),f=new ei(i,o,l.rank,h.rank,s,c);return this.compileAndRun(f,[h,l,p]).reshape(n)},t.prototype.sparseToDense=function(t,e,n,r){var o=Te(0,t,n),i=o.sliceRank,a=o.numUpdates,s=o.strides,u=o.outputSize,c=new ei(a,i,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(c,[e,t,r]).reshape(n)},t.prototype.fft=function(t){return this.fftImpl(t,!1)},t.prototype.ifft=function(t){return this.fftImpl(t,!0)},t.prototype.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new mr(dr,t.shape,e),o=new mr(vr,t.shape,e),i=[this.makeComplexComponentTensorHandle(t,n.complexTensors.real),this.makeComplexComponentTensorHandle(t,n.complexTensors.imag)],a=this.compileAndRun(r,i),s=this.compileAndRun(o,i),u=this.complex(a,s).as2D(t.shape[0],t.shape[1]);return a.dispose(),s.dispose(),u},t.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],o=Ne(t,e),i=o[0],a=o[1],s=o[2],u=o[3],c=e.reshape([a,r]),l=t.reshape([t.size/s,s]),h=new _r(r,u,[a,s]);return this.compileAndRun(h,[l,c]).reshape(i)},t.prototype.fill=function(t,e,n){if("string"===(n=n||q(e))){var r=M(n,B(t));return r.fill(e),dt.make(t,{values:r},n)}var o=new gr(t,e),i=o.getCustomSetupFunc(e),a=this.makeOutputArray(t,n);return this.compileAndRun(o,[],a,i)},t.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(t.shape,1,t.dtype)},t.prototype.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},t.prototype.makeOutputArray=function(t,e){return dt.make(t,{},e,this)},t.prototype.makePackedTensor=function(t,e){var n=dt.make(t,{},e,this);return this.texData.get(n.dataId).isPacked=!0,n},t.prototype.unpackTensor=function(t){var e=new Ci(t.shape);return this.compileAndRun(e,[t],dt.make(e.outputShape,{},t.dtype,this))},t.prototype.packTensor=function(t){var e=new Go(t.shape);return this.compileAndRun(e,[t],this.makePackedTensor(t.shape,t.dtype))},t.prototype.packedReshape=function(t,e){var n=t.reshape([oo(t.shape)].concat(io(t.shape))),r=[oo(e)].concat(io(e)),o=new $o(r,n.shape);return this.compileAndRun(o,[n]).reshape(e)},t.prototype.compileAndRun=function(o,t,e,n,r){var i=this;if(void 0===r&&(r=!0),null==e&&(e=o.usesPackedTextures?this.makePackedTensor(o.outputShape,t[0].dtype):this.makeOutputArray(o.outputShape,t[0].dtype)),0===e.size)return this.texData.get(e.dataId).values=A(e.dtype,0),e;var a=t.map(function(t){if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. 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got rank "+n.rank+"."}),D(2===e.length,function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+e+"."}),D("float32"===n.dtype||"int32"===n.dtype,function(){return"`images` must have `int32` or `float32` as dtype"});var o=n,i=!1;3===n.rank&&(i=!0,o=n.as4D(1,n.shape[0],n.shape[1],n.shape[2]));var a=e[0],s=e[1],u=Zt.engine.runKernel(function(t,e){return e([o]),t.resizeNearestNeighbor(o,a,s,r)},{batchImages:o},function(e,n){return{batchImages:function(){return Zt.engine.runKernel(function(t){return t.resizeNearestNeighborBackprop(e,n[0],r)},{})}}});return i?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),Fc=Fe({nonMaxSuppression_:function(t,e,n,r,o){void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY);var i=re(t,"boxes","nonMaxSuppression"),a=re(e,"scores","nonMaxSuppression"),s=Mc(i,a,n,r,o);return n=s.maxOutputSize,r=s.iouThreshold,o=s.scoreThreshold,Zt.engine.runKernel(function(t){return t.nonMaxSuppression(i,a,n,r,o)},{$boxes:i})}}),Lc=function(s,u,c,l,h){return void 0===l&&(l=.5),void 0===h&&(h=Number.NEGATIVE_INFINITY),m(this,void 0,void 0,function(){var e,n,r,o,i,a;return R(this,function(t){switch(t.label){case 0:return e=re(s,"boxes","nonMaxSuppressionAsync"),n=re(u,"scores","nonMaxSuppressionAsync"),r=Mc(e,n,c,l,h),c=r.maxOutputSize,l=r.iouThreshold,h=r.scoreThreshold,[4,e.data()];case 1:return o=t.sent(),[4,n.data()];case 2:return i=t.sent(),a=ln(o,i,c,l,h),e!==s&&e.dispose(),n!==u&&n.dispose(),[2,a]}})})},Bc=Fe({cropAndResize_:function(t,e,n,r,o,i){var a=re(t,"image","cropAndResize","float32"),s=re(e,"boxes","cropAndResize","float32"),u=re(n,"boxInd","cropAndResize","int32");o=o||"bilinear",i=i||0;var c=s.shape[0];return D(4===a.rank,function(){return"Error in cropAndResize: image must be rank 4,but got rank "+a.rank+"."}),D(2===s.rank&&4===s.shape[1],function(){return"Error in cropAndResize: boxes must be have size ["+c+",4] but had shape 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i=s?r.shape[r.rank-2]:r.shape[r.rank-1],a=u?o.shape[o.rank-1]:o.shape[o.rank-2],h=s?r.shape[r.rank-1]:r.shape[r.rank-2],p=u?o.shape[o.rank-2]:o.shape[o.rank-1],f=r.shape.slice(0,-2),d=o.shape.slice(0,-2),v=B(f),m=B(d);D(2<=r.rank&&2<=o.rank&&r.rank===o.rank,function(){return"Error in fused matMul: inputs must have the same rank of at least 2, got ranks "+r.rank+" and "+o.rank+"."}),D(E(f,d),function(){return"Error in fused matMul: outer dimensions ("+f+") and ("+d+") of Tensors with shapes "+r.shape+" and "+o.shape+" must match."}),D(i===a,function(){return"Error in fused matMul: inner shapes ("+i+") and ("+a+") of Tensors with shapes "+r.shape+" and "+o.shape+" and transposeA="+s+" and transposeB="+u+" must match."});var g,y=r.shape.slice(0,-2).concat([h,p]),x=s?r.as3D(v,i,h):r.as3D(v,h,i),w=u?o.as3D(m,p,a):o.as3D(m,a,p);null!=c&&xn(y,(g=Tt(g=re(c,"bias","fused matMul"),r)[0]).shape);var b={$a:x,$b:w};return null!=c&&(b.$bias=g),Zt.engine.runKernel(function(t,e){var 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this.constructor(this.relativePositions,{width:t,height:e})},t.prototype.shiftBy=function(t,e){return new this.constructor(this.relativePositions,this._imgDims,new lh(t,e))},t.prototype.shiftByPoint=function(t){return this.shiftBy(t.x,t.y)},t.prototype.align=function(t,e){if(void 0===e&&(e={}),t){var n=t instanceof Lp?t.box.floor():new Sh(t);return this.shiftBy(n.x,n.y).align(null,e)}var r=Object.assign({},{useDlibAlignment:!1,minBoxPadding:.2},e),o=r.useDlibAlignment,i=r.minBoxPadding;return o?this.alignDlib():this.alignMinBbox(i)},t.prototype.alignDlib=function(){var t=this.getRefPointsForAlignment(),e=t[0],n=t[1],r=t[2],o=function(t){return r.sub(t).magnitude()},i=(o(e)+o(n))/2,a=Math.floor(i/.45),s=wh(t),u=Math.floor(Math.max(0,s.x-.5*a)),c=Math.floor(Math.max(0,s.y-.43*a));return new Th(u,c,Math.min(a,this.imageWidth+u),Math.min(a,this.imageHeight+c))},t.prototype.alignMinBbox=function(t){var e,n,r,o,i,a,s,u=(e=this.positions,n=e.map(function(t){return t.x}),r=e.map(function(t){return t.y}),o=n.reduce(function(t,e){return e or array thereof");var n=e.asSortedArray().filter(function(t){return t.probability>i}),r=Bp(t)?t.detection.box.bottomLeft:a||new lh(0,0);new Hh(n.map(function(t){return t.expression+" ("+gh(t.probability)+")"}),r).draw(o)})},DrawFaceLandmarksOptions:af,DrawFaceLandmarks:sf,drawFaceLandmarks:function(n,t){(Array.isArray(t)?t:[t]).forEach(function(t){var e=t instanceof ef?t:rf(t)?t.landmarks:void 0;if(!e)throw new Error("drawFaceLandmarks - expected faceExpressions to be FaceLandmarks | WithFaceLandmarks> or array thereof");new sf(e).draw(n)})}});function cf(t,e){var n,r,o,i,a=[],s=np(t),u=s.extractWeights,c=s.getRemainingWeights,l=(o=Yh(n=u,r=a),i=Zh(n,r),{extractConvParams:o,extractSeparableConvParams:i,extractReductionBlockParams:function(t,e,n){return{separable_conv0:i(t,e,n+"/separable_conv0"),separable_conv1:i(e,e,n+"/separable_conv1"),expansion_conv:o(t,e,1,n+"/expansion_conv")}},extractMainBlockParams:function(t,e){return{separable_conv0:i(t,t,e+"/separable_conv0"),separable_conv1:i(t,t,e+"/separable_conv1"),separable_conv2:i(t,t,e+"/separable_conv2")}}}),h=l.extractSeparableConvParams,p=l.extractReductionBlockParams,f=l.extractMainBlockParams,d={conv_in:(0,l.extractConvParams)(3,32,3,"entry_flow/conv_in"),reduction_block_0:p(32,64,"entry_flow/reduction_block_0"),reduction_block_1:p(64,128,"entry_flow/reduction_block_1")},v={};bh(e,0,1).forEach(function(t){v["main_block_"+t]=f(128,"middle_flow/main_block_"+t)});var m={reduction_block:p(128,256,"exit_flow/reduction_block"),separable_conv:h(256,512,"exit_flow/separable_conv")};if(0!==c().length)throw new Error("weights remaing after extract: "+c().length);return{paramMappings:a,params:{entry_flow:d,middle_flow:v,exit_flow:m}}}function lf(t,e){var n,r,o,i=[],a=(n=ep(t,i),r=Hp(n),o=tp(n),{extractConvParams:r,extractSeparableConvParams:o,extractReductionBlockParams:function(t){return{separable_conv0:o(t+"/separable_conv0"),separable_conv1:o(t+"/separable_conv1"),expansion_conv:r(t+"/expansion_conv")}},extractMainBlockParams:function(t){return{separable_conv0:o(t+"/separable_conv0"),separable_conv1:o(t+"/separable_conv1"),separable_conv2:o(t+"/separable_conv2")}}}),s=a.extractSeparableConvParams,u=a.extractReductionBlockParams,c=a.extractMainBlockParams,l={conv_in:(0,a.extractConvParams)("entry_flow/conv_in"),reduction_block_0:u("entry_flow/reduction_block_0"),reduction_block_1:u("entry_flow/reduction_block_1")},h={};bh(e,0,1).forEach(function(t){h["main_block_"+t]=c("middle_flow/main_block_"+t)});var p={reduction_block:u("exit_flow/reduction_block"),separable_conv:s("exit_flow/separable_conv")};return Xh(t,i),{params:{entry_flow:l,middle_flow:h,exit_flow:p},paramMappings:i}}function hf(t,e,n){return xu(Ss(t,e.filters,n,"same"),e.bias)}function pf(t,e,n){void 0===n&&(n=!0);var r=n?Xu(t):t;return r=zp(r,e.separable_conv0,[1,1]),r=zp(Xu(r),e.separable_conv1,[1,1]),r=Us(r,[3,3],[2,2],"same"),r=xu(r,hf(t,e.expansion_conv,[2,2]))}var ff,df=function(n){function t(t){var e=n.call(this,"TinyXception")||this;return e._numMainBlocks=t,e}return a(t,n),t.prototype.forwardInput=function(e){var n=this,i=this.params;if(!i)throw new Error("TinyXception - load model before inference");return ue(function(){var t=Ep(e.toBatchTensor(112,!0),[122.782,117.001,104.298]).div(Ve(256)),o=Xu(hf(t,i.entry_flow.conv_in,[2,2]));return o=pf(o=pf(o,i.entry_flow.reduction_block_0,!1),i.entry_flow.reduction_block_1),bh(n._numMainBlocks,0,1).forEach(function(t){var e,n,r;e=o,n=i.middle_flow["main_block_"+t],r=zp(Xu(e),n.separable_conv0,[1,1]),r=zp(Xu(r),n.separable_conv1,[1,1]),r=zp(Xu(r),n.separable_conv2,[1,1]),o=r=xu(r,e)}),o=pf(o,i.exit_flow.reduction_block),o=Xu(zp(o,i.exit_flow.separable_conv,[1,1]))})},t.prototype.forward=function(n){return p(this,void 0,void 0,function(){var e;return P(this,function(t){switch(t.label){case 0:return e=this.forwardInput,[4,yp(n)];case 1:return[2,e.apply(this,[t.sent()])]}})})},t.prototype.getDefaultModelName=function(){return"tiny_xception_model"},t.prototype.extractParamsFromWeigthMap=function(t){return lf(t,this._numMainBlocks)},t.prototype.extractParams=function(t){return cf(t,this._numMainBlocks)},t}(xp);(ff=c.Gender||(c.Gender={})).FEMALE="female",ff.MALE="male";var vf=function(n){function t(t){void 0===t&&(t=new df(2));var e=n.call(this,"AgeGenderNet")||this;return e._faceFeatureExtractor=t,e}return a(t,n),Object.defineProperty(t.prototype,"faceFeatureExtractor",{get:function(){return this._faceFeatureExtractor},enumerable:!0,configurable:!0}),t.prototype.runNet=function(n){var r=this,o=this.params;if(!o)throw new Error(this._name+" - load model before inference");return ue(function(){var t=n instanceof gp?r.faceFeatureExtractor.forwardInput(n):n,e=Gs(t,[7,7],[2,2],"valid").as2D(t.shape[0],-1);return{age:$p(e,o.fc.age).as1D(),gender:$p(e,o.fc.gender)}})},t.prototype.forwardInput=function(r){var o=this;return ue(function(){var t=o.runNet(r),e=t.age,n=t.gender;return{age:e,gender:Le(n)}})},t.prototype.forward=function(n){return p(this,void 0,void 0,function(){var e;return P(this,function(t){switch(t.label){case 0:return e=this.forwardInput,[4,yp(n)];case 1:return[2,e.apply(this,[t.sent()])]}})})},t.prototype.predictAgeAndGender=function(s){return p(this,void 0,void 0,function(){var e,n,r,o,i,a,u=this;return P(this,function(t){switch(t.label){case 0:return[4,yp(s)];case 1:return e=t.sent(),[4,this.forwardInput(e)];case 2:return n=t.sent(),r=ha(n.age),o=ha(n.gender),i=r.map(function(t,e){return{ageTensor:t,genderTensor:o[e]}}),[4,Promise.all(i.map(function(t){var a=t.ageTensor,s=t.genderTensor;return p(u,void 0,void 0,function(){var e,n,r,o,i;return P(this,function(t){switch(t.label){case 0:return[4,a.data()];case 1:return e=t.sent()[0],[4,s.data()];case 2:return n=t.sent()[0],o=(r=.5 1 not supported");return(o=r.getInput(0))instanceof e?(i=o,[3,4]):[3,2];case 2:return[4,pp(o)];case 3:i=t.sent(),t.label=4;case 4:n=i,t.label=5;case 5:return a=Gh(n),[2,u.map(function(t){return t instanceof Lp?t.forSize(n.width,n.height).box.floor():t}).map(function(t){return t.clipAtImageBorders(n.width,n.height)}).map(function(t){var e=t.x,n=t.y,r=t.width,o=t.height,i=up({width:r,height:o});return Gh(i).putImageData(a.getImageData(e,n,r,o),0,0),i})]}})})}function wf(u,e){return p(this,void 0,void 0,function(){return P(this,function(t){if(!fh(u)&&!dh(u))throw new Error("extractFaceTensors - expected image tensor to be 3D or 4D");if(dh(u)&&1 1 not supported");return[2,ue(function(){var t=u.shape.slice(dh(u)?1:0),i=t[0],a=t[1],s=t[2];return e.map(function(t){return t instanceof Lp?t.forSize(a,i).box:t}).map(function(t){return t.clipAtImageBorders(a,i)}).map(function(t){var e=t.x,n=t.y,r=t.width,o=t.height;return $s(u.as3D(i,a,s),[n,e,0],[o,r,s])})})]})})}var bf=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return a(e,t),e.prototype.postProcess=function(t,o,e){var i=e.map(function(t){var e=t.width,n=t.height,r=o/Math.max(n,e);return{width:e*r,height:n*r}}),a=i.length;return ue(function(){var n=function(t,e){return ua([Je([68],t),Je([68],e)],1).as2D(1,136).as1D()},r=function(t,e){var n=i[t],r=n.width,o=n.height;return e(r,o)?Math.abs(r-o)/2:0};return t.mul(Je([a,136],o)).sub(ua(Array.from(Array(a),function(t,e){return n(r(e,function(t,e){return t 0");if("number"!=typeof this._scaleFactor||this._scaleFactor<=0||1<=this._scaleFactor)throw new Error(this._name+" - expected scaleFactor to be a number between 0 and 1");if("number"!=typeof this._maxNumScales||this._maxNumScales<0)throw new Error(this._name+" - expected maxNumScales to be a number > 0");if(!Array.isArray(this._scoreThresholds)||3!==this._scoreThresholds.length||this._scoreThresholds.some(function(t){return"number"!=typeof t}))throw new Error(this._name+" - expected scoreThresholds to be an array of numbers of length 3");if(this._scaleSteps&&(!Array.isArray(this._scaleSteps)||this._scaleSteps.some(function(t){return"number"!=typeof t})))throw new Error(this._name+" - expected scaleSteps to be an array of numbers")}return Object.defineProperty(t.prototype,"minFaceSize",{get:function(){return this._minFaceSize},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"scaleFactor",{get:function(){return this._scaleFactor},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"maxNumScales",{get:function(){return this._maxNumScales},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"scoreThresholds",{get:function(){return this._scoreThresholds},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"scaleSteps",{get:function(){return this._scaleSteps},enumerable:!0,configurable:!0}),t}();function Ff(l,h){function i(t,e,n,r,o){var i=$e(l(t*e*n*n),[n,n,t,e]),a=He(l(e));return h.push({paramPath:r+"/filters"},{paramPath:r+"/"+(o?"batch_norm_offset":"bias")}),{filters:i,bias:a}}function p(t,e,n,r){var o=i(t,e,n,r,!0);return{filters:o.filters,batch_norm_offset:o.bias}}function t(t,e,n){var r,o,i,a,s,u,c;return{depthwise_conv:(o=n+"/depthwise_conv",i=$e(l(9*(r=t)),[3,3,r,1]),a=He(l(r)),s=He(l(r)),u=He(l(r)),c=He(l(r)),h.push({paramPath:o+"/filters"},{paramPath:o+"/batch_norm_scale"},{paramPath:o+"/batch_norm_offset"},{paramPath:o+"/batch_norm_mean"},{paramPath:o+"/batch_norm_variance"}),{filters:i,batch_norm_scale:a,batch_norm_offset:s,batch_norm_mean:u,batch_norm_variance:c}),pointwise_conv:p(t,e,1,n+"/pointwise_conv")}}return{extractMobilenetV1Params:function(){return{conv_0:p(3,32,3,"mobilenetv1/conv_0"),conv_1:t(32,64,"mobilenetv1/conv_1"),conv_2:t(64,128,"mobilenetv1/conv_2"),conv_3:t(128,128,"mobilenetv1/conv_3"),conv_4:t(128,256,"mobilenetv1/conv_4"),conv_5:t(256,256,"mobilenetv1/conv_5"),conv_6:t(256,512,"mobilenetv1/conv_6"),conv_7:t(512,512,"mobilenetv1/conv_7"),conv_8:t(512,512,"mobilenetv1/conv_8"),conv_9:t(512,512,"mobilenetv1/conv_9"),conv_10:t(512,512,"mobilenetv1/conv_10"),conv_11:t(512,512,"mobilenetv1/conv_11"),conv_12:t(512,1024,"mobilenetv1/conv_12"),conv_13:t(1024,1024,"mobilenetv1/conv_13")}},extractPredictionLayerParams:function(){return{conv_0:p(1024,256,1,"prediction_layer/conv_0"),conv_1:p(256,512,3,"prediction_layer/conv_1"),conv_2:p(512,128,1,"prediction_layer/conv_2"),conv_3:p(128,256,3,"prediction_layer/conv_3"),conv_4:p(256,128,1,"prediction_layer/conv_4"),conv_5:p(128,256,3,"prediction_layer/conv_5"),conv_6:p(256,64,1,"prediction_layer/conv_6"),conv_7:p(64,128,3,"prediction_layer/conv_7"),box_predictor_0:{box_encoding_predictor:i(512,12,1,"prediction_layer/box_predictor_0/box_encoding_predictor"),class_predictor:i(512,9,1,"prediction_layer/box_predictor_0/class_predictor")},box_predictor_1:{box_encoding_predictor:i(1024,24,1,"prediction_layer/box_predictor_1/box_encoding_predictor"),class_predictor:i(1024,18,1,"prediction_layer/box_predictor_1/class_predictor")},box_predictor_2:{box_encoding_predictor:i(512,24,1,"prediction_layer/box_predictor_2/box_encoding_predictor"),class_predictor:i(512,18,1,"prediction_layer/box_predictor_2/class_predictor")},box_predictor_3:{box_encoding_predictor:i(256,24,1,"prediction_layer/box_predictor_3/box_encoding_predictor"),class_predictor:i(256,18,1,"prediction_layer/box_predictor_3/class_predictor")},box_predictor_4:{box_encoding_predictor:i(256,24,1,"prediction_layer/box_predictor_4/box_encoding_predictor"),class_predictor:i(256,18,1,"prediction_layer/box_predictor_4/class_predictor")},box_predictor_5:{box_encoding_predictor:i(128,24,1,"prediction_layer/box_predictor_5/box_encoding_predictor"),class_predictor:i(128,18,1,"prediction_layer/box_predictor_5/class_predictor")}}}}}function Lf(t){var e=[],n=function(t,e){var i=ep(t,e);function a(t,e,n){return{filters:i(t+"/Conv2d_"+e+"_pointwise/weights",4,n+"/filters"),batch_norm_offset:i(t+"/Conv2d_"+e+"_pointwise/convolution_bn_offset",1,n+"/batch_norm_offset")}}function n(t){var e="mobilenetv1/conv_"+t,n="MobilenetV1/Conv2d_"+t+"_depthwise",r=e+"/depthwise_conv",o=e+"/pointwise_conv";return{depthwise_conv:{filters:i(n+"/depthwise_weights",4,r+"/filters"),batch_norm_scale:i(n+"/BatchNorm/gamma",1,r+"/batch_norm_scale"),batch_norm_offset:i(n+"/BatchNorm/beta",1,r+"/batch_norm_offset"),batch_norm_mean:i(n+"/BatchNorm/moving_mean",1,r+"/batch_norm_mean"),batch_norm_variance:i(n+"/BatchNorm/moving_variance",1,r+"/batch_norm_variance")},pointwise_conv:a("MobilenetV1",t,o)}}function r(t,e){return{filters:i(t+"/weights",4,e+"/filters"),bias:i(t+"/biases",1,e+"/bias")}}function o(t){return{box_encoding_predictor:r("Prediction/BoxPredictor_"+t+"/BoxEncodingPredictor","prediction_layer/box_predictor_"+t+"/box_encoding_predictor"),class_predictor:r("Prediction/BoxPredictor_"+t+"/ClassPredictor","prediction_layer/box_predictor_"+t+"/class_predictor")}}return{extractMobilenetV1Params:function(){return{conv_0:a("MobilenetV1",0,"mobilenetv1/conv_0"),conv_1:n(1),conv_2:n(2),conv_3:n(3),conv_4:n(4),conv_5:n(5),conv_6:n(6),conv_7:n(7),conv_8:n(8),conv_9:n(9),conv_10:n(10),conv_11:n(11),conv_12:n(12),conv_13:n(13)}},extractPredictionLayerParams:function(){return{conv_0:a("Prediction",0,"prediction_layer/conv_0"),conv_1:a("Prediction",1,"prediction_layer/conv_1"),conv_2:a("Prediction",2,"prediction_layer/conv_2"),conv_3:a("Prediction",3,"prediction_layer/conv_3"),conv_4:a("Prediction",4,"prediction_layer/conv_4"),conv_5:a("Prediction",5,"prediction_layer/conv_5"),conv_6:a("Prediction",6,"prediction_layer/conv_6"),conv_7:a("Prediction",7,"prediction_layer/conv_7"),box_predictor_0:o(0),box_predictor_1:o(1),box_predictor_2:o(2),box_predictor_3:o(3),box_predictor_4:o(4),box_predictor_5:o(5)}}}}(t,e),r=n.extractMobilenetV1Params,o=n.extractPredictionLayerParams,i=t["Output/extra_dim"];if(e.push({originalPath:"Output/extra_dim",paramPath:"output_layer/extra_dim"}),!fh(i))throw new Error("expected weightMap['Output/extra_dim'] to be a Tensor3D, instead have "+i);var a={mobilenetv1:r(),prediction_layer:o(),output_layer:{extra_dim:i}};return Xh(t,e),{params:a,paramMappings:e}}function Bf(e,n,r){return ue(function(){var t=Ss(e,n.filters,r,"same");return t=xu(t,n.batch_norm_offset),Sa(t,0,6)})}var Wf=.0010000000474974513;function zf(t,e){return ue(function(){var u=null,c=Bf(t,e.conv_0,[2,2]);if([e.conv_1,e.conv_2,e.conv_3,e.conv_4,e.conv_5,e.conv_6,e.conv_7,e.conv_8,e.conv_9,e.conv_10,e.conv_11,e.conv_12,e.conv_13].forEach(function(t,e){var n,r,o,i,a=e+1,s=(n=a,[2,4,6,12].some(function(t){return t===n})?[2,2]:[1,1]);r=c,o=t.depthwise_conv,i=s,c=Bf(c=ue(function(){var t=ks(r,o.filters,i,"same");return t=us(t,o.batch_norm_mean,o.batch_norm_variance,o.batch_norm_offset,o.batch_norm_scale,Wf),Sa(t,0,6)}),t.pointwise_conv,[1,1]),11===a&&(u=c)}),null===u)throw new Error("mobileNetV1 - output of conv layer 11 is null");return{out:c,conv11:u}})}function Uf(t,e,n){var 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Hf=function(){function t(t){var e=void 0===t?{}:t,n=e.minConfidence,r=e.maxResults;if(this._name="SsdMobilenetv1Options",this._minConfidence=n||.5,this._maxResults=r||100,"number"!=typeof this._minConfidence||this._minConfidence<=0||1<=this._minConfidence)throw new Error(this._name+" - expected minConfidence to be a number between 0 and 1");if("number"!=typeof this._maxResults)throw new Error(this._name+" - expected maxResults to be a number")}return Object.defineProperty(t.prototype,"minConfidence",{get:function(){return this._minConfidence},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"maxResults",{get:function(){return this._maxResults},enumerable:!0,configurable:!0}),t}(),qf=function(t){function e(){return t.call(this,"SsdMobilenetv1")||this}return a(e,t),e.prototype.forwardInput=function(u){var c=this.params;if(!c)throw new Error("SsdMobilenetv1 - load model before inference");return ue(function(){var 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n=Wa(Hs(i,[0,0,1],[-1,-1,-1])),r=Hs(n,[0,0,0],[-1,-1,1]);return r=ia(r,[t,r.shape[1]]),{boxes:ha(e),scores:ha(r)}})})},e.prototype.forward=function(n){return p(this,void 0,void 0,function(){var e;return P(this,function(t){switch(t.label){case 0:return e=this.forwardInput,[4,yp(n)];case 1:return[2,e.apply(this,[t.sent()])]}})})},e.prototype.locateFaces=function(T,A){return void 0===A&&(A={}),p(this,void 0,void 0,function(){var l,h,p,f,d,v,m,g,y,x,w,b,E,C,_,S,R,N,k,I;return P(this,function(t){switch(t.label){case 0:return l=new Hf(A),h=l.maxResults,p=l.minConfidence,[4,yp(T)];case 1:for(f=t.sent(),d=this.forwardInput(f),v=d.boxes,m=d.scores,g=v[0],y=m[0],x=1;xa}).sort(function(t,e){return e.score-t.score}),c=[],u.forEach(function(t){if(!(c.length>=s)){for(var e=t.score,n=c.length-1;0<=n;--n){var 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e.isNegative()?this.neg().mul(e.neg()):this.neg().mul(e).neg();if(e.isNegative())return this.mul(e.neg()).neg();if(this.lt(or)&&e.lt(or))return Xn(this.toNumber()*e.toNumber(),this.unsigned);var t=this.high>>>16,n=65535&this.high,r=this.low>>>16,a=65535&this.low,o=e.high>>>16,i=65535&e.high,s=e.low>>>16,u=65535&e.low,c=0,l=0,h=0,f=0;return h+=(f+=a*u)>>>16,l+=(h+=r*u)>>>16,h&=65535,l+=(h+=a*s)>>>16,c+=(l+=n*u)>>>16,l&=65535,c+=(l+=r*s)>>>16,l&=65535,c+=(l+=a*i)>>>16,c+=t*u+n*s+r*i+a*o,Qn((h&=65535)<<16|(f&=65535),(c&=65535)<<16|(l&=65535),this.unsigned)},pr.mul=pr.multiply,pr.divide=function(e){if(jn(e)||(e=tr(e)),e.isZero())throw Error("division by zero");var t,n,r;if(Vn)return this.unsigned||-2147483648!==this.high||-1!==e.low||-1!==e.high?Qn((this.unsigned?Vn.div_u:Vn.div_s)(this.low,this.high,e.low,e.high),Vn.get_high(),this.unsigned):this;if(this.isZero())return this.unsigned?sr:ir;if(this.unsigned){if(e.unsigned||(e=e.toUnsigned()),e.gt(this))return sr;if(e.gt(this.shru(1)))return cr;r=sr}else{if(this.eq(dr))return e.eq(ur)||e.eq(lr)?dr:e.eq(dr)?ur:(t=this.shr(1).div(e).shl(1)).eq(ir)?e.isNegative()?ur:lr:(n=this.sub(e.mul(t)),r=t.add(n.div(e)));if(e.eq(dr))return this.unsigned?sr:ir;if(this.isNegative())return e.isNegative()?this.neg().div(e.neg()):this.neg().div(e).neg();if(e.isNegative())return this.div(e.neg()).neg();r=ir}for(n=this;n.gte(e);){t=Math.max(1,Math.floor(n.toNumber()/e.toNumber()));for(var a=Math.ceil(Math.log(t)/Math.LN2),o=a<=48?1:$n(2,a-48),i=Xn(t),s=i.mul(e);s.isNegative()||s.gt(n);)s=(i=Xn(t-=o,this.unsigned)).mul(e);i.isZero()&&(i=ur),r=r.add(i),n=n.sub(s)}return r},pr.div=pr.divide,pr.modulo=function(e){return jn(e)||(e=tr(e)),Vn?Qn((this.unsigned?Vn.rem_u:Vn.rem_s)(this.low,this.high,e.low,e.high),Vn.get_high(),this.unsigned):this.sub(this.div(e).mul(e))},pr.mod=pr.modulo,pr.rem=pr.modulo,pr.not=function(){return Qn(~this.low,~this.high,this.unsigned)},pr.and=function(e){return jn(e)||(e=tr(e)),Qn(this.low&e.low,this.high&e.high,this.unsigned)},pr.or=function(e){return jn(e)||(e=tr(e)),Qn(this.low|e.low,this.high|e.high,this.unsigned)},pr.xor=function(e){return jn(e)||(e=tr(e)),Qn(this.low^e.low,this.high^e.high,this.unsigned)},pr.shiftLeft=function(e){return jn(e)&&(e=e.toInt()),0==(e&=63)?this:e<32?Qn(this.low<>>32-e,this.unsigned):Qn(0,this.low<>>e|this.high<<32-e,this.high>>e,this.unsigned):Qn(this.high>>e-32,this.high>=0?0:-1,this.unsigned)},pr.shr=pr.shiftRight,pr.shiftRightUnsigned=function(e){if(jn(e)&&(e=e.toInt()),0===(e&=63))return this;var t=this.high;return e<32?Qn(this.low>>>e|t<<32-e,t>>>e,this.unsigned):Qn(32===e?t:t>>>e-32,0,this.unsigned)},pr.shru=pr.shiftRightUnsigned,pr.shr_u=pr.shiftRightUnsigned,pr.toSigned=function(){return this.unsigned?Qn(this.low,this.high,!1):this},pr.toUnsigned=function(){return this.unsigned?this:Qn(this.low,this.high,!0)},pr.toBytes=function(e){return e?this.toBytesLE():this.toBytesBE()},pr.toBytesLE=function(){var e=this.high,t=this.low;return[255&t,t>>>8&255,t>>>16&255,t>>>24,255&e,e>>>8&255,e>>>16&255,e>>>24]},pr.toBytesBE=function(){var e=this.high,t=this.low;return[e>>>24,e>>>16&255,e>>>8&255,255&e,t>>>24,t>>>16&255,t>>>8&255,255&t]},Hn.fromBytes=function(e,t,n){return n?Hn.fromBytesLE(e,t):Hn.fromBytesBE(e,t)},Hn.fromBytesLE=function(e,t){return new Hn(e[0]|e[1]<<8|e[2]<<16|e[3]<<24,e[4]|e[5]<<8|e[6]<<16|e[7]<<24,t)},Hn.fromBytesBE=function(e,t){return new Hn(e[4]<<24|e[5]<<16|e[6]<<8|e[7],e[0]<<24|e[1]<<16|e[2]<<8|e[3],t)};var gr=qn(Kn),vr=gr||t({__proto__:null,default:gr},[Kn]);function mr(e){return vr.fromString(e,!0,16)}var yr=mr("c3a5c85c97cb3127"),br=mr("b492b66fbe98f273"),wr=mr("9ae16a3b2f90404f");function kr(e){return e.xor(e.shru(47))}function xr(e,t,n){var r=e.slice(t,t+n);return vr.fromBytes(Array.from(r),!0,!0)}function Er(e,t){return xr(e,t,8)}function Sr(e,t){return xr(e,t,4)}function Ar(e,t){return 0===t?e:e.shru(t).or(e.shl(64-t))}function _r(e,t,n){void 0===n&&(n=mr("9ddfea08eb382d69"));var r=e.xor(t).mul(n);r=r.xor(r.shru(47));var a=t.xor(r).mul(n);return a=(a=a.xor(a.shru(47))).mul(n)}function Ir(e,t,n,r){return function(e,t,n,r,a,o){a=a.add(e),o=Ar(o.add(a).add(r),21);var i=a;return a=(a=a.add(t)).add(n),o=o.add(Ar(a,44)),[a.add(r),o.add(i)]}(Er(e,t),Er(e,t+8),Er(e,t+16),Er(e,t+24),n,r)}function Nr(e,t){if("string"===t)throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(e)&&(e=Br(e)),Z().getBool("DEBUG")&&I(e,t),function(e,t){return e instanceof Float32Array&&"float32"===t||e instanceof Int32Array&&"int32"===t||e instanceof Uint8Array&&"bool"===t}(e,t))return e;if(null==t||"float32"===t||"complex64"===t)return new Float32Array(e);if("int32"===t)return new Int32Array(e);if("bool"===t){for(var n=new Uint8Array(e.length),r=0;r=8){var n=wr.add(2*t),r=Er(e,0).add(wr);return _r(Ar(a=Er(e,t-8),37).mul(n).add(r),Ar(r,25).add(a).mul(n),n)}if(t>=4)return n=wr.add(2*t),_r((r=Sr(e,0)).shl(3).add(t),Sr(e,t-4),n);if(t>0){var a,o=(r=e[0])+((a=e[t>>1])<<8),i=t+(e[t-1]<<2);return kr(wr.mul(o).xor(yr.mul(i))).mul(wr)}return wr}(e,t):function(e,t){void 0===t&&(t=e.length);var n=wr.add(2*t),r=Er(e,0).mul(br),a=Er(e,8),o=Er(e,t-8).mul(n),i=Er(e,t-16).mul(wr);return _r(Ar(r.add(a),43).add(Ar(o,30)).add(i),r.add(Ar(a.add(wr),18)).add(o),n)}(e,t);if(t<=64)return function(e,t){void 0===t&&(t=e.length);var n=wr.add(2*t),r=Er(e,0).mul(wr),a=Er(e,8),o=Er(e,t-8).mul(n),i=Er(e,t-16).mul(wr),s=Ar(r.add(a),43).add(Ar(o,30)).add(i),u=_r(s,r.add(Ar(a.add(wr),18)).add(o),n),c=Er(e,16).mul(n),l=Er(e,24),h=s.add(Er(e,t-32)).mul(n),f=u.add(Er(e,t-24)).mul(n);return _r(Ar(c.add(l),43).add(Ar(h,30)).add(f),c.add(Ar(l.add(r),18)).add(h),n)}(e,t);var o=a,i=a.mul(br).add(113),u=kr(i.mul(wr).add(113)).mul(wr),c=[vr.UZERO,vr.UZERO],l=[vr.UZERO,vr.UZERO];o=o.mul(wr).add(Er(e,0));var h=0,f=64*(t-1>>6),d=f+(t-1&63)-63;do{o=Ar(o.add(i).add(c[0]).add(Er(e,h+8)),37).mul(br),i=Ar(i.add(c[1]).add(Er(e,h+48)),42).mul(br),o=o.xor(l[1]),i=i.add(c[0]).add(Er(e,h+40)),u=Ar(u.add(l[0]),33).mul(br),c=Ir(e,h,c[1].mul(br),o.add(l[0])),l=Ir(e,h+32,u.add(l[1]),i.add(Er(e,h+16))),u=(n=s([o,u],2))[0],o=n[1],h+=64}while(h!==f);var p=br.add(u.and(255).shl(1));return h=d,l[0]=l[0].add(t-1&63),c[0]=c[0].add(l[0]),l[0]=l[0].add(c[0]),o=Ar(o.add(i).add(c[0]).add(Er(e,h+8)),37).mul(p),i=Ar(i.add(c[1]).add(Er(e,h+48)),42).mul(p),o=o.xor(l[1].mul(9)),i=i.add(c[0].mul(9).add(Er(e,h+40))),u=Ar(u.add(l[0]),33).mul(p),c=Ir(e,h,c[1].mul(p),o.add(l[0])),l=Ir(e,h+32,u.add(l[1]),i.add(Er(e,h+16))),u=(r=s([o,u],2))[0],o=r[1],_r(_r(c[0],l[0],p).add(kr(i).mul(yr)).add(u),_r(c[1],l[1],p).add(o),p)},flatten:Br,getArrayFromDType:_,getTypedArrayFromDType:A,hasEncodingLoss:function(e,t){return"complex64"!==t&&(("float32"!==t||"complex64"===e)&&(("int32"!==t||"float32"===e||"complex64"===e)&&("bool"!==t||"bool"!==e)))},hexToLong:mr,indexToLoc:function(e,t,n){if(0===t)return[];if(1===t)return[e];for(var r=new Array(t),a=0;a=0)n*=e[a];else if(-1===e[a]){if(-1!==r)throw Error("Shapes can only have 1 implicit size. 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t=Array.isArray(r)?r:[r];a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(l,e,t);var n=t.map((function(e){return null!=e.rank?e:a.makeTensorFromTensorInfo(e)}));if(i){var s=a.getTensorsForGradient(l,h,n);o=a.saveTensorsForBackwardMode(s)}return n}}else{var p=e.forwardFunc,v=function(e){i&&(o=e.map((function(e){return a.keep(a.clone(e))})))};n=function(){var e=a.backend.numDataIds();r=a.tidy((function(){return p(a.backend,v)}));var t=Array.isArray(r)?r:[r];return a.shouldCheckForMemLeaks()&&a.checkKernelForMemLeak(c,e,t),t}}var m,y=e.inputs,b=e.attrs,w=ua(e)?null:e.backwardsFunc;return this.scopedRun((function(){return a.state.kernelDepth++}),(function(){return a.state.kernelDepth--}),(function(){a.ENV.getBool("DEBUG")||a.state.profiling?(m=a.profiler.profileKernel(c,y,(function(){return n()})),a.ENV.getBool("DEBUG")&&a.profiler.logKernelProfile(m),t=m.outputs):t=n()})),i&&this.addTapeNode(c,y,t,w,o,b),this.state.profiling&&this.state.activeProfile.kernels.push({name:c,bytesAdded:this.state.numBytes-s,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-u,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(y).map((function(e){return null!=y[e]?y[e].shape:null})),outputShapes:t.map((function(e){return e.shape})),kernelTimeMs:m.timeMs,extraInfo:m.extraInfo}),Array.isArray(r)?t:t[0]},e.prototype.saveTensorsForBackwardMode=function(e){var t=this,n=e.map((function(e){return t.keep(t.clone(e))}));return n},e.prototype.getTensorsForGradient=function(e,t,n){var r=On(e);if(null!=r){var a=r.inputsToSave||[],o=r.outputsToSave||[],i=void 0;r.saveAllInputs?(g(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),i=Object.keys(t).map((function(e){return t[e]}))):i=a.map((function(e){return t[e]}));var s=n.filter((function(e,t){return o[t]}));return i.concat(s)}return[]},e.prototype.makeTensor=function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var a=e;"string"===n&&D(e[0])&&(a=e.map((function(e){return Tr(e)})));var o=r.write(a,t,n),i=new Vr(t,n,o,this.nextTensorId());if(this.trackTensor(i,r),"string"===n){var s=this.state.tensorInfo.get(o),u=T(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return i},e.prototype.makeTensorFromDataId=function(e,t,n,r){var a={dataId:e,shape:t,dtype:n=n||"float32"};return this.makeTensorFromTensorInfo(a,r)},e.prototype.makeTensorFromTensorInfo=function(e,t){var n=e.dataId,r=e.shape,a=e.dtype,o=new Vr(r,a,n,this.nextTensorId());return this.trackTensor(o,t),o},e.prototype.makeVariable=function(e,t,n,r){void 0===t&&(t=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new Qr(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name ".concat(a.name," was already registered"));return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a},e.prototype.trackTensor=function(e,t){this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++;var n=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(n=e.size*M(e.dtype)),this.state.numBytes+=n,this.state.tensorInfo.has(e.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:n})),e instanceof Qr||this.track(e)},e.prototype.incRef=function(e,t){this.trackTensor(e,t),this.backend.incRef(e.dataId)},e.prototype.removeDataId=function(e,t){this.state.tensorInfo.has(e)&&this.state.tensorInfo.get(e).backend===t&&(this.state.tensorInfo.delete(e),this.state.numDataBuffers--)},e.prototype.disposeTensor=function(e){if(this.state.tensorInfo.has(e.dataId)){var t=this.state.tensorInfo.get(e.dataId);if(this.state.numTensors--,"string"===e.dtype&&(this.state.numStringTensors--,this.state.numBytes-=t.bytes),"complex64"!==e.dtype&&"string"!==e.dtype){var n=e.size*M(e.dtype);this.state.numBytes-=n}t.backend.disposeData(e.dataId)&&this.removeDataId(e.dataId,t.backend)}},e.prototype.disposeVariables=function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}},e.prototype.disposeVariable=function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e},e.prototype.profile=function(e){return 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i=ka(e,"forgetBias","basicLSTMCell"),s=ka(t,"lstmKernel","basicLSTMCell"),u=ka(n,"lstmBias","basicLSTMCell"),c=ka(r,"data","basicLSTMCell"),l=ka(a,"c","basicLSTMCell"),h=ka(o,"h","basicLSTMCell"),f=ci([c,h],1),d=li(f,s),p=To(d,u),g=p.shape[0],v=p.shape[1]/4,m=[g,v],y=fi(p,[0,0],m),b=fi(p,[0,v],m),w=fi(p,[0,2*v],m),k=fi(p,[0,3*v],m),x=To(Bo(hi(y),di(b)),Bo(l,hi(To(i,w))));return[x,Bo(di(x),hi(k))]}});var gi=Sa({batchToSpaceND_:function(e,t,n){var r=ka(e,"x","batchToSpaceND"),a=t.reduce((function(e,t){return e*t}));g(r.rank>=1+t.length,(function(){return"input rank is ".concat(r.rank," but should be > than blockShape.length ").concat(t.length)})),g(n.length===t.length,(function(){return"crops.length is ".concat(n.length," but should be equal to blockShape.length ").concat(t.length)})),g(r.shape[0]%a==0,(function(){return"input tensor batch is ".concat(r.shape[0]," but is not divisible by the product of ")+"the elements of blockShape ".concat(t.join(" * ")," === ").concat(a)}));var o={x:r},i={blockShape:t,crops:n};return da.runKernel(fe,o,i)}});var vi=Sa({batchNorm_:function(e,t,n,r,a,o){null==o&&(o=.001);var i,s,u=ka(e,"x","batchNorm"),c=ka(t,"mean","batchNorm"),l=ka(n,"variance","batchNorm");null!=a&&(i=ka(a,"scale","batchNorm")),null!=r&&(s=ka(r,"offset","batchNorm")),g(c.rank===l.rank,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),g(null==s||c.rank===s.rank,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),g(null==i||c.rank===i.rank,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var h=function(e){return 0===e.rank||1===e.rank?ii(e,[1,1,1,e.size]):2===e.rank?ii(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?ii(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}(u),f={x:h,scale:i,offset:s,mean:c,variance:l},d={varianceEpsilon:o},p=da.runKernel(Je,f,d);return ii(p,u.shape)}});var mi=Sa({batchNorm2d_:function(e,t,n,r,a,o){var i,s,u=ka(e,"x","batchNorm"),c=ka(t,"mean","batchNorm"),l=ka(n,"variance","batchNorm");return null!=a&&(i=ka(a,"scale","batchNorm")),null!=r&&(s=ka(r,"offset","batchNorm")),g(2===u.rank,(function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+"".concat(u.rank,".")})),g(2===c.rank||1===c.rank,(function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but "+"got rank ".concat(c.rank,".")})),g(2===l.rank||1===l.rank,(function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 "+"but got rank ".concat(l.rank,".")})),null!=i&&g(2===i.rank||1===i.rank,(function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 "+"but got rank ".concat(i.rank,".")})),null!=s&&g(2===s.rank||1===s.rank,(function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 "+"but got rank ".concat(s.rank,".")})),vi(u,c,l,s,i,o)}});var yi=Sa({batchNorm3d_:function(e,t,n,r,a,o){var i,s,u=ka(e,"x","batchNorm"),c=ka(t,"mean","batchNorm"),l=ka(n,"variance","batchNorm");return null!=a&&(i=ka(a,"scale","batchNorm")),null!=r&&(s=ka(r,"offset","batchNorm")),g(3===u.rank,(function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+"".concat(u.rank,".")})),g(3===c.rank||1===c.rank,(function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but "+"got rank ".concat(c.rank,".")})),g(3===l.rank||1===l.rank,(function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 "+"but got rank ".concat(l.rank,".")})),null!=i&&g(3===i.rank||1===i.rank,(function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 "+"but got rank ".concat(i.rank,".")})),null!=s&&g(3===s.rank||1===s.rank,(function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 "+"but got rank ".concat(s.rank,".")})),vi(u,c,l,s,i,o)}});var bi=Sa({batchNorm4d_:function(e,t,n,r,a,o){var i,s,u=ka(e,"x","batchNorm"),c=ka(t,"mean","batchNorm"),l=ka(n,"variance","batchNorm");return null!=a&&(i=ka(a,"scale","batchNorm")),null!=r&&(s=ka(r,"offset","batchNorm")),g(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+"".concat(u.rank,".")})),g(4===c.rank||1===c.rank,(function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but "+"got rank ".concat(c.rank,".")})),g(4===l.rank||1===l.rank,(function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 "+"but got rank ".concat(l.rank,".")})),null!=i&&g(4===i.rank||1===i.rank,(function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 "+"but got rank ".concat(i.rank,".")})),null!=s&&g(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 "+"but got rank ".concat(s.rank,".")})),vi(u,c,l,s,i,o)}});var wi=Sa({bincount_:function(e,t,n){var r=ka(e,"x","bincount"),a=ka(t,"weights","bincount");g("int32"===r.dtype,(function(){return"Error in bincount: input "+"dtype must be int32, but got ".concat(r.dtype)})),g(n>=0,(function(){return"size must be non-negative, but got ".concat(n,".")})),g(a.size===r.size||0===a.size,(function(){return"Error in bincount: weights must have the same size as input or"+"0-length, but got input shape: ".concat(r.shape,", weights shape: ")+"".concat(a.shape,".")}));var o={x:r,weights:a},i={size:n};return da.runKernel(de,o,i)}});var ki=Sa({bitwiseAnd_:function(e,t){var n=ka(e,"x","bitwiseAnd"),r=ka(t,"y","bitwiseAnd");if(!w(n.shape,r.shape))throw new Error("BitwiseAnd: Tensors must have the same shape. x: ".concat(n.shape,", y: ").concat(r.shape));if("int32"!==n.dtype||"int32"!==r.dtype)throw new Error("BitwiseAnd: Only supports 'int32' values in tensor, found type of x: ".concat(n.dtype," and type of y: ").concat(r.dtype));var a={a:n,b:r};return da.runKernel(pe,a)}});var xi=Sa({broadcastArgs_:function(e,t){var n=ka(e,"s0","broadcastArgs","int32"),r=ka(t,"s1","broadcastArgs","int32");if(1!==n.rank)throw new Error("broadcastArgs(): first input must be a vector (rank=1). 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l?ii(p,[p.shape[1],p.shape[2],p.shape[3]]):p}});var Vi=Sa({diag_:function(e){var t={x:ka(e,"x","diag")};return da.runKernel(Pe,t)}});var Hi=Sa({dilation2d_:function(e,t,n,r,a,o){void 0===a&&(a=[1,1]),void 0===o&&(o="NHWC");var i=ka(e,"x","dilation2d"),s=ka(t,"filter","dilation2d");g(3===i.rank||4===i.rank,(function(){return"Error in dilation2d: input must be rank 3 or 4, but got rank "+"".concat(i.rank,".")})),g(3===s.rank,(function(){return"Error in dilation2d: filter must be rank 3, but got rank "+"".concat(s.rank,".")})),g("NHWC"===o,(function(){return"Error in dilation2d: Only NHWC is currently supported, "+"but got dataFormat of ".concat(o)}));var u=i,c=!1;3===i.rank&&(u=ii(i,[1,i.shape[0],i.shape[1],i.shape[2]]),c=!0),g(u.shape[3]===s.shape[2],(function(){return"Error in dilation2d: input and filter must have the same depth: ".concat(u.shape[3]," vs ").concat(s.shape[2])}));var l={x:u,filter:s},h={strides:n,pad:r,dilations:a},f=da.runKernel(Oe,l,h);return 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c={x:ka(e,"x","stridedSlice","string_or_numeric")},l={begin:t,end:n,strides:r,beginMask:a,endMask:o,ellipsisMask:i,newAxisMask:s,shrinkAxisMask:u};return da.runKernel(pn,c,l)}});var Wc=Sa({tan_:function(e){var t={x:ka(e,"x","tan","float32")};return da.runKernel("Tan",t)}});function Gc(e,t){m(e);var n=ya(e,t);if(1!==n.length)throw new Error("tensor1d() requires values to be a flat/TypedArray");return _a(e,null,n,t)}function qc(e,t,n){if(m(e),null!=t&&2!==t.length)throw new Error("tensor2d() requires shape to have two numbers");var r=ya(e,n);if(2!==r.length&&1!==r.length)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return _a(e,t,r,n)}function Kc(e,t,n){if(m(e),null!=t&&3!==t.length)throw new Error("tensor3d() requires shape to have three numbers");var r=ya(e,n);if(3!==r.length&&1!==r.length)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(1===r.length&&null==t)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return _a(e,t,r,n)}function Vc(e,t,n){var r=t.rank>1?t.shape[t.rank-1]:1,a=t.rank>1?t.rank-1:1,o="Must have updates.shape = indices.shape[:batchDim] + "+"shape[sliceDim:], got updates.shape: ".concat(n.shape)+", indices.shape: ".concat(t.shape,", shape: ").concat(e)+", sliceDim: ".concat(r,", and batchDim: ").concat(a,".");if(n.rank1?t.shape[r-1]:1,o=n.length,i=1,c=a;c= 0 but got ".concat(t));if(t>a)throw new Error("'k' passed to topk() must be <= the last dimension (".concat(a,") ")+"but got ".concat(t));var o={x:r},i={k:t,sorted:n},u=s(da.runKernel(wn,o,i),2);return{values:u[0],indices:u[1]}}});var Xc=Sa({truncatedNormal_:function(e,t,n,r,a){if(void 0===t&&(t=0),void 0===n&&(n=1),G(e),null!=r&&"bool"===r)throw new Error("Unsupported data type $ { dtype }");for(var o=new ec(t,n,r,!0,a),i=_o(e,r),s=0;s0,(function(){return"The 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i=t.size;if(0!==t.rank&&(1!==t.rank||i!==a))throw new Error("sparseValues has incorrect shape "+"".concat(t.shape,", should be [] or [").concat(a,"]"));if(t.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}(a,o,n,i);var s={sparseIndices:a,sparseValues:o,defaultValue:i},u={outputShape:n};return da.runKernel(hn,s,u)}});var ul=Sa({gatherND_:function(e,t){var n=ka(t,"indices","gatherND","int32"),r={params:ka(e,"x","gatherND","string_or_numeric"),indices:n};return da.runKernel(Ye,r)}});var cl=Sa({dropout_:function(e,t,n,r){var a=ka(e,"x","dropout");if(g("float32"===a.dtype,(function(){return"x has to be a floating point tensor since it's going to be "+"scaled, but got a ".concat(a.dtype," tensor instead.")})),g(t>=0&&t<1,(function(){return"rate must be a float in the range [0, 1), but got ".concat(t,".")})),0===t)return e instanceof Vr?a.clone():a;var o=function(e,t){if(null==t)return e.shape.slice();if(w(e.shape,t))return t;if(e.shape.length===t.length){for(var n=[],r=0;r1,(function(){return"inTopK() expects the predictions to be of rank 2 or higher, "+"but got ".concat(r.rank)})),g(r.rank-1===a.rank,(function(){return"predictions rank should be 1 larger than targets rank, but got predictions rank "+"".concat(r.rank," and targets rank ").concat(a.rank)})),v(r.shape.slice(0,r.shape.length-1),a.shape,"predictions's shape should be align with the targets' shape, except the last dimension."),i=r.shape[r.shape.length-1],g(n>0&&n<=i,(function(){return"'k' passed to inTopK() must be > 0 && <= the predictions last "+"dimension (".concat(i,"), but got ").concat(n)})),[4,r.data()];case 1:return u=o.sent(),[4,a.data()];case 2:for(c=o.sent(),l=s([u.length/i,i],2),h=l[0],f=l[1],d=A("bool",h),p=0;p0&&(n=gs(n,r)),ii(n,e.shape)}function vl(e,t,n,r){if("linear"===t)return e;if("relu"===t)return hc(e);if("elu"===t)return rs(e);if("relu6"===t)return fc(e);if("prelu"===t)return Eu(e,n);if("leakyrelu"===t)return 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"+"Got strides ".concat(a," and dilations '").concat(l,"'")}));var S,A,_=Jo(k.shape,w.shape,a,l,o,h);if(null!=f&&(t=s(ra(S=ka(f,"bias","fused conv2d"),b),1),S=t[0],"NHWC"===u?Zi(_.outShape,S.shape):(g(S.shape.length<=1,(function(){return"Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of "+"rank-".concat(S.shape.length,".")})),g(0===S.shape.length||S.shape[0]===_.outChannels||1===S.shape[0],(function(){return"Error in fused conv2d: bias shape (".concat(S.shape,") is not ")+"compatible with the number of output channels "+"(".concat(_.outChannels,")")})))),null!=v){var I=v.shape;if(g(I.length<=1||3===I.length,(function(){return"Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of "+"rank-".concat(I.length,".")})),1===I.length)g(1===I[0]||I[0]===_.outChannels,(function(){return"Error in fused conv2d: PReLU activation weights "+"(".concat(I,") is not compatible with the number of output ")+"channels (".concat(_.outChannels,").")}));else if(3===I.length)try{Zi(I,_.outShape)}catch(e){var N="Error in fused conv2d: PReLU activation weights (".concat(I,") ")+"is not compatible with the output shape of the conv2d "+"(".concat(_.outShape,").");throw Error(N)}A=ka(v,"prelu weights","fused conv2d")}var M=function(e,t){g("NHWC"===u,(function(){return"Error in gradient of fused conv2D: got dataFormat of ".concat(u," but only NHWC is currently supported.")}));var n=s(t,4),r=n[0],i=n[1],c=n[2],h=n[3],f=pl(e,c,p);g(ti(l),(function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 "+"are not yet supported in gradients. Got dilations '".concat(l,"'")}));var d=[Bi(i.shape,f,r,a,o),dl(i,f,r.shape,a,o)];if(null!=h){var v=gl(h,f);d.push(v)}return d},T={x:k,filter:w,bias:S,preluActivationWeights:A},D={strides:a,pad:o,dataFormat:u,dilations:l,dimRoundingMode:h,activation:p,leakyreluAlpha:m};if(null==f){var R=zs((function(e,t,n){var r=da.runKernel(Dn,T,D);return n([t,e,r]),x&&(r=ii(r,[r.shape[1],r.shape[2],r.shape[3]])),{value:r,gradFunc:M}}));return R(k,w)}var B=zs((function(e,t,n,r){var a=da.runKernel(Dn,T,D);return r([t,e,a,n]),x&&(a=ii(a,[a.shape[1],a.shape[2],a.shape[3]])),{value:a,gradFunc:M}}));return B(k,w,S)}});var bl=Sa({depthwiseConv2dNativeBackpropFilter_:function(e,t,n,r,a,o,i){void 0===o&&(o=[1,1]);var s=e;3===e.rank&&(s=ii(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var u=t;3===u.rank&&(u=ii(t,[1,t.shape[0],t.shape[1],t.shape[2]]));var c={x:s,dy:u},l={strides:r,pad:a,dimRoundingMode:i,dilations:o,filterShape:n};return da.runKernel(Fe,c,l)}});var wl=Sa({depthwiseConv2dNativeBackpropInput_:function(e,t,n,r,a,o,i){void 0===o&&(o=[1,1]);var s=t,u=!1;3===t.rank&&(u=!0,s=ii(t,[1,t.shape[0],t.shape[1],t.shape[2]]));var c={dy:s,filter:n},l={strides:r,pad:a,dimRoundingMode:i,dilations:o,inputShape:e},h=da.runKernel(Ce,c,l);return u?ii(h,[h.shape[1],h.shape[2],h.shape[3]]):h}});var kl=Sa({fusedDepthwiseConv2d_:function(e){var t,n=e.x,r=e.filter,a=e.strides,o=e.pad,i=e.dataFormat,u=void 0===i?"NHWC":i,c=e.dilations,l=void 0===c?[1,1]:c,h=e.dimRoundingMode,f=e.bias,d=e.activation,p=void 0===d?"linear":d,v=e.preluActivationWeights,m=e.leakyreluAlpha;if(!1===ml(da.state.gradientDepth,p)){var y=Ki(n,r,a,o,u,l,h);return null!=f&&(y=To(y,f)),vl(y,p,v,m)}var b=ka(n,"x","depthwiseConv2d","float32"),w=ka(r,"filter","depthwiseConv2d","float32"),k=b,x=!1;3===b.rank&&(x=!0,k=ii(b,[1,b.shape[0],b.shape[1],b.shape[2]])),g(4===k.rank,(function(){return"Error in fused depthwiseConv2d: input must be rank 4, but got "+"rank ".concat(k.rank,".")})),g(4===w.rank,(function(){return"Error in fused depthwiseConv2d: filter must be rank 4, "+"but got rank ".concat(w.rank,".")})),g(k.shape[3]===w.shape[2],(function(){return"Error in fused depthwiseConv2d: number of input channels "+"(".concat(k.shape[3],") must match the inChannels dimension in ")+"filter ".concat(w.shape[2],".")})),null==l&&(l=[1,1]),g(ni(a,l),(function(){return"Error in fused depthwiseConv2d: Either strides or dilations must "+"be 1. Got strides ".concat(a," and dilations '").concat(l,"'")})),oi("fused depthwiseConv2d",o,h);var E,S,A=Jo(k.shape,w.shape,a,l,o,h,!0);null!=f&&(t=s(ra(E=ka(f,"bias","fused conv2d"),b),1),E=t[0],Zi(A.outShape,E.shape)),null!=v&&(S=ka(v,"prelu weights","fused depthwiseConv2d"));var _=function(e,t){g(ti(l),(function(){return"Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations "+"'".concat(l,"'")}));var n=s(t,4),r=n[0],i=n[1],u=n[2],c=n[3],f=pl(e,u,p),d=wl(i.shape,f,r,a,o,l,h),v=bl(i,f,r.shape,a,o,l,h);return null!=c?[d,v,gl(E,f)]:[d,v]},I={x:k,filter:w,bias:E,preluActivationWeights:S},N={strides:a,pad:o,dataFormat:u,dilations:l,dimRoundingMode:h,activation:p,leakyreluAlpha:m};if(null==f){var M=zs((function(e,t,n){var r=da.runKernel(Rn,I,N);return n([t,e,r]),x&&(r=ii(r,[r.shape[1],r.shape[2],r.shape[3]])),{value:r,gradFunc:_}}));return M(k,w)}var T=zs((function(e,t,n,r){var a=da.runKernel(Rn,I,N);return r([t,e,a,n]),x&&(a=ii(a,[a.shape[1],a.shape[2],a.shape[3]])),{value:a,gradFunc:_}}));return T(k,w,E)}});var xl=Sa({fusedMatMul_:function(e){var t,n=e.a,r=e.b,a=e.transposeA,o=void 0!==a&&a,i=e.transposeB,u=void 0!==i&&i,c=e.bias,l=e.activation,h=void 0===l?"linear":l,f=e.preluActivationWeights,d=e.leakyreluAlpha,p=void 0===d?.2:d;if(!1===ml(da.state.gradientDepth,h)){var v=li(n,r,o,u);return null!=c&&(v=To(v,c)),vl(v,h,f,p)}var m=ka(n,"a","fused matMul"),b=ka(r,"b","fused matMul");t=s(ra(m,b),2),m=t[0],b=t[1];var w=o?m.shape[m.rank-2]:m.shape[m.rank-1],k=u?b.shape[b.rank-1]:b.shape[b.rank-2],x=o?m.shape[m.rank-1]:m.shape[m.rank-2],E=u?b.shape[b.rank-2]:b.shape[b.rank-1],S=m.shape.slice(0,-2),A=b.shape.slice(0,-2),_=y(S),I=y(A);g(w===k,(function(){return"Error in fused matMul: inner shapes (".concat(w,") and (")+"".concat(k,") of Tensors with shapes ").concat(m.shape," and ")+"".concat(b.shape," and transposeA=").concat(o)+" and transposeB=".concat(u," must match.")}));var N,M,T=Zi(m.shape.slice(0,-2),b.shape.slice(0,-2)).concat([x,E]),D=ii(m,o?[_,w,x]:[_,x,w]),R=ii(b,u?[I,E,k]:[I,k,E]);null!=c&&(N=s(ra(N=ka(c,"bias","fused matMul"),m),1)[0],Zi(T,N.shape)),null!=f&&(M=ka(f,"prelu weights","fused matMul"));var B=function(e,t){var n,r,a=s(t,4),i=a[0],l=a[1],f=a[2],d=a[3],p=pl(ii(e,f.shape),f,h);return 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o=ka(t,"labels","hingeLoss"),i=ka(n,"predictions","hingeLoss"),s=null;null!=r&&(s=ka(r,"weights","hingeLoss")),v(o.shape,i.shape,"Error in hingeLoss: ");var u=fs(1);o=Ks(Bo(fs(2),o),u);var c=hc(Ks(u,Bo(o,i)));return ah(c,s,a)}});var uh=Sa({huberLoss_:function(t,n,r,a,o){void 0===a&&(a=1),void 0===o&&(o=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=ka(t,"labels","huberLoss"),s=ka(n,"predictions","huberLoss"),u=null;null!=r&&(u=ka(r,"weights","huberLoss")),v(i.shape,s.shape,"Error in huberLoss: ");var c=fs(a),l=Fo(Ks(s,i)),h=iu(l,c),f=Ks(l,h),d=To(Bo(fs(.5),ps(h)),Bo(c,f));return ah(d,u,o)}});var ch=Sa({logLoss_:function(t,n,r,a,o){void 0===a&&(a=1e-7),void 0===o&&(o=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=ka(t,"labels","logLoss"),s=ka(n,"predictions","logLoss"),u=null;null!=r&&(u=ka(r,"weights","logLoss")),v(i.shape,s.shape,"Error in logLoss: ");var c=fs(1),l=fs(a),h=Ws(Bo(i,Ps(To(s,l)))),f=Bo(Ks(c,i),Ps(To(Ks(c,s),l))),d=Ks(h,f);return ah(d,u,o)}});var 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fh=Sa({softmaxCrossEntropy_:function(t,n,r,a,o){void 0===a&&(a=0),void 0===o&&(o=e.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=ka(t,"onehotLabels","softmaxCrossEntropy"),u=ka(n,"logits","softmaxCrossEntropy"),c=null;if(null!=r&&(c=ka(r,"weights","softmaxCrossEntropy")),v(i.shape,u.shape,"Error in softmaxCrossEntropy: "),a>0){var l=fs(a),h=fs(1),f=fs(i.shape[1]);i=To(Bo(i,Ks(h,l)),Ro(l,f))}var d=function(e,t,n){if(void 0===n&&(n=-1),-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet "+"supported. 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+ + +

Study Tracker

+ + +
+ + +
+ + +
+ Looking for face... +
+ + +
+ Total Study Time: 0 mins +
+ + + + + +
+
7-Day Study History
+
N/A
+
+ +
+ + + + \ No newline at end of file diff --git a/submissions/LogIT/StudyTracker/popup.js b/submissions/LogIT/StudyTracker/popup.js new file mode 100644 index 00000000..4bbb9ef6 --- /dev/null +++ b/submissions/LogIT/StudyTracker/popup.js @@ -0,0 +1,278 @@ +const video = document.getElementById('video'); +const statusElement = document.getElementById('status'); +const studyTimeElement = document.getElementById('study-time'); +const historyElement = document.getElementById('history'); +const toggleLandmarksButton = document.getElementById('toggleLandmarks'); + +// Audio alert (ensure alert.mp3 is in your extension folder) +const alertSound = new Audio('alert.mp3'); + +// Daily study data is stored per day in localStorage. +let dailyStudyData = JSON.parse(localStorage.getItem('dailyStudyData')) || {}; +let showLandmarks = true; +let studying = false; +let lastDetectionTime = Date.now(); +let noFaceStart = null; // time when face is no longer detected + +// Helper to get the dominant expression from a given expressions object +function getAverageExpression(expressions) { + const expressionValues = Object.values(expressions); + const maxExpressionValue = Math.max(...expressionValues); + const dominantExpression = Object.keys(expressions).find( + expression => expressions[expression] === maxExpressionValue + ); + return dominantExpression; +} + +// Use mediaDevices.getUserMedia to automatically trigger the browser's camera permission prompt. +function startVideo() { + navigator.mediaDevices.getUserMedia({ video: true }) + .then(stream => { + video.srcObject = stream; + statusElement.textContent = 'Camera access granted.'; + removeCameraOverlay(); // Remove overlay if present + }) + .catch(err => { + console.error(err); + statusElement.textContent = "Camera access is required."; + showCameraOverlay(); // Show custom overlay prompting user to enable camera access. + }); +} + +// Creates an overlay with a prompt and a retry button. +function showCameraOverlay() { + if (!document.getElementById('cameraOverlay')) { + const overlay = document.createElement('div'); + overlay.id = 'cameraOverlay'; + overlay.style.position = 'fixed'; + overlay.style.top = '0'; + overlay.style.left = '0'; + overlay.style.width = '100%'; + overlay.style.height = '94%'; + overlay.style.backgroundColor = 'rgba(0, 0, 0, 0.9)'; + overlay.style.color = '#fff'; + overlay.style.display = 'flex'; + overlay.style.flexDirection = 'column'; + overlay.style.justifyContent = 'center'; + overlay.style.alignItems = 'center'; + overlay.style.zIndex = '9999'; + overlay.style.textAlign = 'center'; + overlay.style.padding = '20px'; + + overlay.innerHTML = ` +
+

📷 Camera Access Required

+

To track your study time, this extension needs camera access.

+

+ If you have denied access, follow these steps to enable it: +

+
+
    +
  1. 🔗 Open + chrome://extensions/ + + +
    2. +
  2. 🔍 Find this extension and click Details
    3. +
  3. ⚙️ Scroll down and go to Site Settings
    4. +
  4. 🎥 Find "Camera" and set it to Allow
    5. +
  5. 🔄 Reload this page and click "Retry" below
    6. +
+
+ +
+ `; + + document.body.appendChild(overlay); + + // Copy to clipboard functionality + document.getElementById('copyLink').addEventListener('click', () => { + navigator.clipboard.writeText('chrome://extensions/').then(() => { + document.getElementById('copyMessage').style.display = 'inline'; + setTimeout(() => { + document.getElementById('copyMessage').style.display = 'none'; + }, 2000); + }); + }); + + document.getElementById('retryCameraAccess').addEventListener('click', () => { + overlay.remove(); + startVideo(); + }); + } +} + +// Removes the camera access overlay if it exists. +function removeCameraOverlay() { + const overlay = document.getElementById('cameraOverlay'); + if (overlay) { + overlay.remove(); + } +} + +Promise.all([ + faceapi.nets.tinyFaceDetector.loadFromUri('/models'), + faceapi.nets.faceLandmark68Net.loadFromUri('/models'), + faceapi.nets.faceRecognitionNet.loadFromUri('/models'), + faceapi.nets.faceExpressionNet.loadFromUri('/models') +]).then(startVideo); + +video.addEventListener('play', () => { + const canvas = faceapi.createCanvasFromMedia(video); + document.body.append(canvas); + const displaySize = { width: video.width, height: video.height }; + faceapi.matchDimensions(canvas, displaySize); + + // Adjust canvas position + canvas.style.position = 'absolute'; + canvas.style.top = '130px'; // Shift canvas 30px upwards + canvas.style.left = '0'; + + let lastDetectionTime = 0; +let studying = false; +let studyStartTime = null; // Start time of the current study session +let noFaceStart = null; + +// Load previous study data from localStorage +const storedData = JSON.parse(localStorage.getItem('dailyStudyData')) || {}; +const today = new Date().toLocaleDateString(); + +if (!storedData[today]) { + storedData[today] = { timeSpent: 0, expressionCounts: {} }; +} + +let totalStudyTime = storedData[today].timeSpent; // Load today's stored time + +function detectFace() { + const now = Date.now(); + + if (now - lastDetectionTime > 100) { // Run every ~100ms + lastDetectionTime = now; + + faceapi + .detectAllFaces(video, new faceapi.TinyFaceDetectorOptions()) + .withFaceLandmarks() + .withFaceExpressions() + .then(detections => { + const resizedDetections = faceapi.resizeResults(detections, displaySize); + const ctx = canvas.getContext('2d'); + ctx.clearRect(0, 0, canvas.width, canvas.height); + + if (showLandmarks) { + faceapi.draw.drawDetections(canvas, resizedDetections); + faceapi.draw.drawFaceLandmarks(canvas, resizedDetections); + faceapi.draw.drawFaceExpressions(canvas, resizedDetections); + } + + if (detections.length > 0) { + // Reset face lost timer + noFaceStart = null; + + const expressions = detections[0].expressions; + const dominantExpression = getAverageExpression(expressions) || "None"; + + if (!studying) { + studying = true; + studyStartTime = now; + statusElement.textContent = 'I am studying...'; + } + + // Calculate elapsed time and update study duration + if (studyStartTime) { + let elapsed = (now - studyStartTime) / 1000; // Convert to seconds + totalStudyTime += elapsed; + storedData[today].timeSpent = totalStudyTime; + studyStartTime = now; // Reset start time + } + + // Update expression count + if (!storedData[today].expressionCounts[dominantExpression]) { + storedData[today].expressionCounts[dominantExpression] = 0; + } + storedData[today].expressionCounts[dominantExpression]++; + + // Save updated data to localStorage + localStorage.setItem('dailyStudyData', JSON.stringify(storedData)); + + // Convert study time to hrs, mins, secs + const hrs = Math.floor(totalStudyTime / 3600); + const mins = Math.floor((totalStudyTime % 3600) / 60); + const secs = Math.floor(totalStudyTime % 60); + + // Find the most frequent expression today + let todayDominant = 'None'; + let maxCount = 0; + for (let expr in storedData[today].expressionCounts) { + if (storedData[today].expressionCounts[expr] > maxCount) { + maxCount = storedData[today].expressionCounts[expr]; + todayDominant = expr; + } + } + + studyTimeElement.textContent = `Study Time: ${hrs} hrs ${mins} mins ${secs} sec | Expression: ${dominantExpression}`; + } else { + if (studying) { + studying = false; + studyStartTime = null; + statusElement.textContent = 'No face detected. Pausing...'; + } + + if (noFaceStart === null) { + noFaceStart = now; + } else if (now - noFaceStart >= 30000) { + alertSound.play(); + noFaceStart = now; + } + } + }); + } + requestAnimationFrame(detectFace); +} + + detectFace(); +}); + +// Update the history view to show the last 7 days. +function updateHistory() { + const entries = []; + for (let date in dailyStudyData) { + entries.push({ date, data: dailyStudyData[date] }); + } + // Sort entries by date (oldest first) + entries.sort((a, b) => new Date(a.date) - new Date(b.date)); + // Get the last 7 days. + const last7 = entries.slice(-7); + const historyText = last7 + .map(entry => { + const total = entry.data.timeSpent; + const hrs = Math.floor(total / 3600); + const mins = Math.floor((total % 3600) / 60); + // Determine the dominant expression for the day. + const counts = entry.data.expressionCounts; + let dominant = 'None'; + let maxCount = 0; + for (let expr in counts) { + if (counts[expr] > maxCount) { + maxCount = counts[expr]; + dominant = expr; + } + } + return `${entry.date}: ${hrs} hrs ${mins} mins (Expression: ${dominant})`; + }) + .join('
'); + historyElement.innerHTML = `7-Day Study History:
${historyText}`; +} + +// Call updateHistory on page load to display stored history. +updateHistory(); + +// Toggle landmarks visibility. +toggleLandmarksButton.addEventListener('click', () => { + showLandmarks = !showLandmarks; + toggleLandmarksButton.textContent = showLandmarks ? 'Hide Landmarks' : 'Show Landmarks'; +}); diff --git a/submissions/LogIT/StudyTracker/styles.css b/submissions/LogIT/StudyTracker/styles.css new file mode 100644 index 00000000..f93bb945 --- /dev/null +++ b/submissions/LogIT/StudyTracker/styles.css @@ -0,0 +1,14 @@ +body { + margin: 0; + padding: 0; + width: 100vw; + height: 100vh; + display: flex; + justify-content: center; + align-items: center; + } + + canvas { + position: absolute; + } + \ No newline at end of file diff --git a/submissions/LogIT/StudyTracker/tailwind.js b/submissions/LogIT/StudyTracker/tailwind.js new file mode 100644 index 00000000..e4d106fd --- /dev/null +++ b/submissions/LogIT/StudyTracker/tailwind.js @@ -0,0 +1,8 @@ +/** + * Minified by jsDelivr using Terser v5.37.0. + * Original file: /npm/@tailwindcss/browser@4.0.14/dist/index.global.js + * + * Do NOT use SRI with dynamically generated files! 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--color-yellow-700: oklch(0.554 0.135 66.442);\n --color-yellow-800: oklch(0.476 0.114 61.907);\n --color-yellow-900: oklch(0.421 0.095 57.708);\n --color-yellow-950: oklch(0.286 0.066 53.813);\n\n --color-lime-50: oklch(0.986 0.031 120.757);\n --color-lime-100: oklch(0.967 0.067 122.328);\n --color-lime-200: oklch(0.938 0.127 124.321);\n --color-lime-300: oklch(0.897 0.196 126.665);\n --color-lime-400: oklch(0.841 0.238 128.85);\n --color-lime-500: oklch(0.768 0.233 130.85);\n --color-lime-600: oklch(0.648 0.2 131.684);\n --color-lime-700: oklch(0.532 0.157 131.589);\n --color-lime-800: oklch(0.453 0.124 130.933);\n --color-lime-900: oklch(0.405 0.101 131.063);\n --color-lime-950: oklch(0.274 0.072 132.109);\n\n --color-green-50: oklch(0.982 0.018 155.826);\n --color-green-100: oklch(0.962 0.044 156.743);\n --color-green-200: oklch(0.925 0.084 155.995);\n --color-green-300: oklch(0.871 0.15 154.449);\n --color-green-400: oklch(0.792 0.209 151.711);\n --color-green-500: oklch(0.723 0.219 149.579);\n --color-green-600: oklch(0.627 0.194 149.214);\n --color-green-700: oklch(0.527 0.154 150.069);\n --color-green-800: oklch(0.448 0.119 151.328);\n --color-green-900: oklch(0.393 0.095 152.535);\n --color-green-950: oklch(0.266 0.065 152.934);\n\n --color-emerald-50: oklch(0.979 0.021 166.113);\n --color-emerald-100: oklch(0.95 0.052 163.051);\n --color-emerald-200: oklch(0.905 0.093 164.15);\n --color-emerald-300: oklch(0.845 0.143 164.978);\n --color-emerald-400: oklch(0.765 0.177 163.223);\n --color-emerald-500: oklch(0.696 0.17 162.48);\n --color-emerald-600: oklch(0.596 0.145 163.225);\n --color-emerald-700: oklch(0.508 0.118 165.612);\n --color-emerald-800: oklch(0.432 0.095 166.913);\n --color-emerald-900: oklch(0.378 0.077 168.94);\n --color-emerald-950: oklch(0.262 0.051 172.552);\n\n --color-teal-50: oklch(0.984 0.014 180.72);\n --color-teal-100: oklch(0.953 0.051 180.801);\n --color-teal-200: oklch(0.91 0.096 180.426);\n --color-teal-300: oklch(0.855 0.138 181.071);\n --color-teal-400: oklch(0.777 0.152 181.912);\n --color-teal-500: oklch(0.704 0.14 182.503);\n --color-teal-600: oklch(0.6 0.118 184.704);\n --color-teal-700: oklch(0.511 0.096 186.391);\n --color-teal-800: oklch(0.437 0.078 188.216);\n --color-teal-900: oklch(0.386 0.063 188.416);\n --color-teal-950: oklch(0.277 0.046 192.524);\n\n --color-cyan-50: oklch(0.984 0.019 200.873);\n --color-cyan-100: oklch(0.956 0.045 203.388);\n --color-cyan-200: oklch(0.917 0.08 205.041);\n --color-cyan-300: oklch(0.865 0.127 207.078);\n --color-cyan-400: oklch(0.789 0.154 211.53);\n --color-cyan-500: oklch(0.715 0.143 215.221);\n --color-cyan-600: oklch(0.609 0.126 221.723);\n --color-cyan-700: oklch(0.52 0.105 223.128);\n --color-cyan-800: oklch(0.45 0.085 224.283);\n --color-cyan-900: oklch(0.398 0.07 227.392);\n --color-cyan-950: oklch(0.302 0.056 229.695);\n\n --color-sky-50: oklch(0.977 0.013 236.62);\n --color-sky-100: oklch(0.951 0.026 236.824);\n --color-sky-200: oklch(0.901 0.058 230.902);\n --color-sky-300: oklch(0.828 0.111 230.318);\n --color-sky-400: oklch(0.746 0.16 232.661);\n --color-sky-500: oklch(0.685 0.169 237.323);\n --color-sky-600: oklch(0.588 0.158 241.966);\n --color-sky-700: oklch(0.5 0.134 242.749);\n --color-sky-800: oklch(0.443 0.11 240.79);\n --color-sky-900: oklch(0.391 0.09 240.876);\n --color-sky-950: oklch(0.293 0.066 243.157);\n\n --color-blue-50: oklch(0.97 0.014 254.604);\n --color-blue-100: oklch(0.932 0.032 255.585);\n --color-blue-200: oklch(0.882 0.059 254.128);\n --color-blue-300: oklch(0.809 0.105 251.813);\n --color-blue-400: oklch(0.707 0.165 254.624);\n --color-blue-500: oklch(0.623 0.214 259.815);\n --color-blue-600: oklch(0.546 0.245 262.881);\n --color-blue-700: oklch(0.488 0.243 264.376);\n --color-blue-800: oklch(0.424 0.199 265.638);\n --color-blue-900: oklch(0.379 0.146 265.522);\n --color-blue-950: oklch(0.282 0.091 267.935);\n\n --color-indigo-50: oklch(0.962 0.018 272.314);\n --color-indigo-100: oklch(0.93 0.034 272.788);\n --color-indigo-200: oklch(0.87 0.065 274.039);\n --color-indigo-300: oklch(0.785 0.115 274.713);\n --color-indigo-400: oklch(0.673 0.182 276.935);\n --color-indigo-500: oklch(0.585 0.233 277.117);\n --color-indigo-600: oklch(0.511 0.262 276.966);\n --color-indigo-700: oklch(0.457 0.24 277.023);\n --color-indigo-800: oklch(0.398 0.195 277.366);\n --color-indigo-900: oklch(0.359 0.144 278.697);\n --color-indigo-950: oklch(0.257 0.09 281.288);\n\n --color-violet-50: oklch(0.969 0.016 293.756);\n --color-violet-100: oklch(0.943 0.029 294.588);\n --color-violet-200: oklch(0.894 0.057 293.283);\n --color-violet-300: oklch(0.811 0.111 293.571);\n --color-violet-400: oklch(0.702 0.183 293.541);\n --color-violet-500: oklch(0.606 0.25 292.717);\n --color-violet-600: oklch(0.541 0.281 293.009);\n --color-violet-700: oklch(0.491 0.27 292.581);\n --color-violet-800: oklch(0.432 0.232 292.759);\n --color-violet-900: oklch(0.38 0.189 293.745);\n --color-violet-950: oklch(0.283 0.141 291.089);\n\n --color-purple-50: oklch(0.977 0.014 308.299);\n --color-purple-100: oklch(0.946 0.033 307.174);\n --color-purple-200: oklch(0.902 0.063 306.703);\n --color-purple-300: oklch(0.827 0.119 306.383);\n --color-purple-400: oklch(0.714 0.203 305.504);\n --color-purple-500: oklch(0.627 0.265 303.9);\n --color-purple-600: oklch(0.558 0.288 302.321);\n --color-purple-700: oklch(0.496 0.265 301.924);\n --color-purple-800: oklch(0.438 0.218 303.724);\n --color-purple-900: oklch(0.381 0.176 304.987);\n --color-purple-950: oklch(0.291 0.149 302.717);\n\n --color-fuchsia-50: oklch(0.977 0.017 320.058);\n --color-fuchsia-100: oklch(0.952 0.037 318.852);\n --color-fuchsia-200: oklch(0.903 0.076 319.62);\n --color-fuchsia-300: oklch(0.833 0.145 321.434);\n --color-fuchsia-400: oklch(0.74 0.238 322.16);\n --color-fuchsia-500: oklch(0.667 0.295 322.15);\n --color-fuchsia-600: oklch(0.591 0.293 322.896);\n --color-fuchsia-700: oklch(0.518 0.253 323.949);\n --color-fuchsia-800: oklch(0.452 0.211 324.591);\n --color-fuchsia-900: oklch(0.401 0.17 325.612);\n --color-fuchsia-950: oklch(0.293 0.136 325.661);\n\n --color-pink-50: oklch(0.971 0.014 343.198);\n --color-pink-100: oklch(0.948 0.028 342.258);\n --color-pink-200: oklch(0.899 0.061 343.231);\n --color-pink-300: oklch(0.823 0.12 346.018);\n --color-pink-400: oklch(0.718 0.202 349.761);\n --color-pink-500: oklch(0.656 0.241 354.308);\n --color-pink-600: oklch(0.592 0.249 0.584);\n --color-pink-700: oklch(0.525 0.223 3.958);\n --color-pink-800: oklch(0.459 0.187 3.815);\n --color-pink-900: oklch(0.408 0.153 2.432);\n --color-pink-950: oklch(0.284 0.109 3.907);\n\n --color-rose-50: oklch(0.969 0.015 12.422);\n --color-rose-100: oklch(0.941 0.03 12.58);\n --color-rose-200: oklch(0.892 0.058 10.001);\n --color-rose-300: oklch(0.81 0.117 11.638);\n --color-rose-400: oklch(0.712 0.194 13.428);\n --color-rose-500: oklch(0.645 0.246 16.439);\n --color-rose-600: oklch(0.586 0.253 17.585);\n --color-rose-700: oklch(0.514 0.222 16.935);\n --color-rose-800: oklch(0.455 0.188 13.697);\n --color-rose-900: oklch(0.41 0.159 10.272);\n --color-rose-950: oklch(0.271 0.105 12.094);\n\n --color-slate-50: oklch(0.984 0.003 247.858);\n --color-slate-100: oklch(0.968 0.007 247.896);\n --color-slate-200: oklch(0.929 0.013 255.508);\n --color-slate-300: oklch(0.869 0.022 252.894);\n --color-slate-400: oklch(0.704 0.04 256.788);\n --color-slate-500: oklch(0.554 0.046 257.417);\n --color-slate-600: oklch(0.446 0.043 257.281);\n --color-slate-700: oklch(0.372 0.044 257.287);\n --color-slate-800: oklch(0.279 0.041 260.031);\n --color-slate-900: oklch(0.208 0.042 265.755);\n --color-slate-950: oklch(0.129 0.042 264.695);\n\n --color-gray-50: oklch(0.985 0.002 247.839);\n --color-gray-100: oklch(0.967 0.003 264.542);\n --color-gray-200: oklch(0.928 0.006 264.531);\n --color-gray-300: oklch(0.872 0.01 258.338);\n --color-gray-400: oklch(0.707 0.022 261.325);\n --color-gray-500: oklch(0.551 0.027 264.364);\n --color-gray-600: oklch(0.446 0.03 256.802);\n --color-gray-700: oklch(0.373 0.034 259.733);\n --color-gray-800: oklch(0.278 0.033 256.848);\n --color-gray-900: oklch(0.21 0.034 264.665);\n --color-gray-950: oklch(0.13 0.028 261.692);\n\n --color-zinc-50: oklch(0.985 0 0);\n --color-zinc-100: oklch(0.967 0.001 286.375);\n --color-zinc-200: oklch(0.92 0.004 286.32);\n --color-zinc-300: oklch(0.871 0.006 286.286);\n --color-zinc-400: oklch(0.705 0.015 286.067);\n --color-zinc-500: oklch(0.552 0.016 285.938);\n --color-zinc-600: oklch(0.442 0.017 285.786);\n --color-zinc-700: oklch(0.37 0.013 285.805);\n --color-zinc-800: oklch(0.274 0.006 286.033);\n --color-zinc-900: oklch(0.21 0.006 285.885);\n --color-zinc-950: oklch(0.141 0.005 285.823);\n\n --color-neutral-50: oklch(0.985 0 0);\n --color-neutral-100: oklch(0.97 0 0);\n --color-neutral-200: oklch(0.922 0 0);\n --color-neutral-300: oklch(0.87 0 0);\n --color-neutral-400: oklch(0.708 0 0);\n --color-neutral-500: oklch(0.556 0 0);\n --color-neutral-600: oklch(0.439 0 0);\n --color-neutral-700: oklch(0.371 0 0);\n --color-neutral-800: oklch(0.269 0 0);\n --color-neutral-900: oklch(0.205 0 0);\n --color-neutral-950: oklch(0.145 0 0);\n\n --color-stone-50: oklch(0.985 0.001 106.423);\n --color-stone-100: oklch(0.97 0.001 106.424);\n --color-stone-200: oklch(0.923 0.003 48.717);\n --color-stone-300: oklch(0.869 0.005 56.366);\n --color-stone-400: oklch(0.709 0.01 56.259);\n --color-stone-500: oklch(0.553 0.013 58.071);\n --color-stone-600: oklch(0.444 0.011 73.639);\n --color-stone-700: oklch(0.374 0.01 67.558);\n --color-stone-800: oklch(0.268 0.007 34.298);\n --color-stone-900: oklch(0.216 0.006 56.043);\n --color-stone-950: oklch(0.147 0.004 49.25);\n\n --color-black: #000;\n --color-white: #fff;\n\n --spacing: 0.25rem;\n\n --breakpoint-sm: 40rem;\n --breakpoint-md: 48rem;\n --breakpoint-lg: 64rem;\n --breakpoint-xl: 80rem;\n --breakpoint-2xl: 96rem;\n\n --container-3xs: 16rem;\n --container-2xs: 18rem;\n --container-xs: 20rem;\n --container-sm: 24rem;\n --container-md: 28rem;\n --container-lg: 32rem;\n --container-xl: 36rem;\n --container-2xl: 42rem;\n --container-3xl: 48rem;\n --container-4xl: 56rem;\n --container-5xl: 64rem;\n --container-6xl: 72rem;\n --container-7xl: 80rem;\n\n --text-xs: 0.75rem;\n --text-xs--line-height: calc(1 / 0.75);\n --text-sm: 0.875rem;\n --text-sm--line-height: calc(1.25 / 0.875);\n --text-base: 1rem;\n --text-base--line-height: calc(1.5 / 1);\n --text-lg: 1.125rem;\n --text-lg--line-height: calc(1.75 / 1.125);\n --text-xl: 1.25rem;\n --text-xl--line-height: calc(1.75 / 1.25);\n --text-2xl: 1.5rem;\n --text-2xl--line-height: calc(2 / 1.5);\n --text-3xl: 1.875rem;\n --text-3xl--line-height: calc(2.25 / 1.875);\n --text-4xl: 2.25rem;\n --text-4xl--line-height: calc(2.5 / 2.25);\n --text-5xl: 3rem;\n --text-5xl--line-height: 1;\n --text-6xl: 3.75rem;\n --text-6xl--line-height: 1;\n --text-7xl: 4.5rem;\n --text-7xl--line-height: 1;\n --text-8xl: 6rem;\n --text-8xl--line-height: 1;\n --text-9xl: 8rem;\n --text-9xl--line-height: 1;\n\n --font-weight-thin: 100;\n --font-weight-extralight: 200;\n --font-weight-light: 300;\n --font-weight-normal: 400;\n --font-weight-medium: 500;\n --font-weight-semibold: 600;\n --font-weight-bold: 700;\n --font-weight-extrabold: 800;\n --font-weight-black: 900;\n\n --tracking-tighter: -0.05em;\n --tracking-tight: -0.025em;\n --tracking-normal: 0em;\n --tracking-wide: 0.025em;\n --tracking-wider: 0.05em;\n --tracking-widest: 0.1em;\n\n --leading-tight: 1.25;\n --leading-snug: 1.375;\n --leading-normal: 1.5;\n --leading-relaxed: 1.625;\n --leading-loose: 2;\n\n --radius-xs: 0.125rem;\n --radius-sm: 0.25rem;\n --radius-md: 0.375rem;\n --radius-lg: 0.5rem;\n --radius-xl: 0.75rem;\n --radius-2xl: 1rem;\n --radius-3xl: 1.5rem;\n --radius-4xl: 2rem;\n\n --shadow-2xs: 0 1px rgb(0 0 0 / 0.05);\n --shadow-xs: 0 1px 2px 0 rgb(0 0 0 / 0.05);\n --shadow-sm: 0 1px 3px 0 rgb(0 0 0 / 0.1), 0 1px 2px -1px rgb(0 0 0 / 0.1);\n --shadow-md: 0 4px 6px -1px rgb(0 0 0 / 0.1), 0 2px 4px -2px rgb(0 0 0 / 0.1);\n --shadow-lg: 0 10px 15px -3px rgb(0 0 0 / 0.1), 0 4px 6px -4px rgb(0 0 0 / 0.1);\n --shadow-xl: 0 20px 25px -5px rgb(0 0 0 / 0.1), 0 8px 10px -6px rgb(0 0 0 / 0.1);\n --shadow-2xl: 0 25px 50px -12px rgb(0 0 0 / 0.25);\n\n --inset-shadow-2xs: inset 0 1px rgb(0 0 0 / 0.05);\n --inset-shadow-xs: inset 0 1px 1px rgb(0 0 0 / 0.05);\n --inset-shadow-sm: inset 0 2px 4px rgb(0 0 0 / 0.05);\n\n --drop-shadow-xs: 0 1px 1px rgb(0 0 0 / 0.05);\n --drop-shadow-sm: 0 1px 2px rgb(0 0 0 / 0.15);\n --drop-shadow-md: 0 3px 3px rgb(0 0 0 / 0.12);\n --drop-shadow-lg: 0 4px 4px rgb(0 0 0 / 0.15);\n --drop-shadow-xl: 0 9px 7px rgb(0 0 0 / 0.1);\n --drop-shadow-2xl: 0 25px 25px rgb(0 0 0 / 0.15);\n\n --ease-in: cubic-bezier(0.4, 0, 1, 1);\n --ease-out: cubic-bezier(0, 0, 0.2, 1);\n --ease-in-out: cubic-bezier(0.4, 0, 0.2, 1);\n\n --animate-spin: spin 1s linear infinite;\n --animate-ping: ping 1s cubic-bezier(0, 0, 0.2, 1) infinite;\n --animate-pulse: 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Study Time Tracker 📚

+ + +
+ + +
+ + + +
+

Study Time Today:

+ 00:00:00 +
+ +
+

Last 7 Days:

+
    +
    + + + + + + \ No newline at end of file diff --git a/submissions/LogIT/StudyTracker/testing/manifest.json b/submissions/LogIT/StudyTracker/testing/manifest.json new file mode 100644 index 00000000..0346dfa6 --- /dev/null +++ b/submissions/LogIT/StudyTracker/testing/manifest.json @@ -0,0 +1,27 @@ +{ + "manifest_version": 3, + "name": "Study Time Tracker", + "version": "1.0", + "description": "Controls YouTube video playback based on study time", + "permissions": [ + "activeTab", + "storage" + ], + "background": { + "service_worker": "background.js" + }, + "content_scripts": [ + { + "matches": ["*://www.youtube.com/*"], + "js": ["content.js"] + } + ], + "action": { + "default_popup": "popup.html" + }, + "host_permissions": [ + "http://*/*", + "https://*/*" + ] + } + \ No newline at end of file From 7689284cdcbda413281a32fc75425df487dfa8c2 Mon Sep 17 00:00:00 2001 From: raghib112 Date: Mon, 17 Mar 2025 22:11:06 +0600 Subject: [PATCH 2/2] Update --- submissions/{LogIT => }/StudyTracker/README.md | 0 submissions/{LogIT => }/StudyTracker/alert.mp3 | Bin submissions/{LogIT => }/StudyTracker/background.js | 0 submissions/{LogIT => }/StudyTracker/content.js | 0 .../{LogIT => }/StudyTracker/face-api.min.js | 0 submissions/{LogIT => }/StudyTracker/gsap.min.js.1 | 0 submissions/{LogIT => }/StudyTracker/icon.png | Bin .../{LogIT => }/StudyTracker/icons/icon128.png | Bin .../{LogIT => }/StudyTracker/icons/icon16.png | Bin .../{LogIT => }/StudyTracker/icons/icon28.png | Bin .../{LogIT => }/StudyTracker/icons/icon48.png | Bin .../{LogIT => }/StudyTracker/libs/blazeface.min.js | 0 .../{LogIT => }/StudyTracker/libs/gsap.min.js | 0 .../StudyTracker/libs/tf-backend-wasm.min.js | 0 .../{LogIT => }/StudyTracker/libs/tf-core.min.js | 0 submissions/{LogIT => }/StudyTracker/libs/tf.min.js | 0 submissions/{LogIT => }/StudyTracker/manifest.json | 0 .../models/face_expression_model-shard1 | Bin .../face_expression_model-weights_manifest.json | 0 .../models/face_landmark_68_model-shard1 | Bin .../face_landmark_68_model-weights_manifest.json | 0 .../models/face_landmark_68_tiny_model-shard1 | Bin ...ace_landmark_68_tiny_model-weights_manifest.json | 0 .../models/face_recognition_model-shard1 | Bin .../models/face_recognition_model-shard2 | 0 .../face_recognition_model-weights_manifest.json | 0 .../models/tiny_face_detector_model-shard1 | Bin .../tiny_face_detector_model-weights_manifest.json | 0 submissions/{LogIT => }/StudyTracker/popup.html | 0 submissions/{LogIT => }/StudyTracker/popup.js | 0 submissions/{LogIT => }/StudyTracker/styles.css | 0 submissions/{LogIT => }/StudyTracker/tailwind.js | 0 .../{LogIT => }/StudyTracker/testing/index.html | 0 .../{LogIT => }/StudyTracker/testing/manifest.json | 0 34 files changed, 0 insertions(+), 0 deletions(-) rename submissions/{LogIT => }/StudyTracker/README.md (100%) rename submissions/{LogIT => }/StudyTracker/alert.mp3 (100%) rename submissions/{LogIT => }/StudyTracker/background.js 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