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THIS IS THE FOLDER WHICH CONSISTS THE FACE API SCRIPTS (HTML,JS) FILES

Files changed (17) hide show
  1. .gitattributes +2 -0
  2. trailssssss 2/.DS_Store +0 -0
  3. trailssssss 2/cors_server.py +13 -0
  4. trailssssss 2/face-api.min.js +0 -0
  5. trailssssss 2/index.html +140 -0
  6. trailssssss 2/models/face_expression_model-shard1 +0 -0
  7. trailssssss 2/models/face_expression_model-weights_manifest.json +1 -0
  8. trailssssss 2/models/face_landmark_68_model-shard1 +0 -0
  9. trailssssss 2/models/face_landmark_68_model-weights_manifest.json +1 -0
  10. trailssssss 2/models/face_landmark_68_tiny_model-shard1 +0 -0
  11. trailssssss 2/models/face_landmark_68_tiny_model-weights_manifest.json +1 -0
  12. trailssssss 2/models/face_recognition_model-shard1 +3 -0
  13. trailssssss 2/models/face_recognition_model-shard2 +3 -0
  14. trailssssss 2/models/face_recognition_model-weights_manifest.json +1 -0
  15. trailssssss 2/models/tiny_face_detector_model-shard1 +0 -0
  16. trailssssss 2/models/tiny_face_detector_model-weights_manifest.json +1 -0
  17. trailssssss 2/script.js +288 -0
.gitattributes CHANGED
@@ -34,3 +34,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  unsloth.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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  unsloth.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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+ trailssssss[[:space:]]2/models/face_recognition_model-shard1 filter=lfs diff=lfs merge=lfs -text
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+ trailssssss[[:space:]]2/models/face_recognition_model-shard2 filter=lfs diff=lfs merge=lfs -text
trailssssss 2/.DS_Store ADDED
Binary file (6.15 kB). View file
 
trailssssss 2/cors_server.py ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ from http.server import HTTPServer, SimpleHTTPRequestHandler
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+
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+ class CORSRequestHandler(SimpleHTTPRequestHandler):
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+ def end_headers(self):
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+ self.send_header('Access-Control-Allow-Origin', '*')
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+ self.send_header('Access-Control-Allow-Methods', 'GET')
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+ self.send_header('Access-Control-Allow-Headers', 'Content-Type')
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+ super().end_headers()
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+
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+ httpd = HTTPServer(('localhost', 9800), CORSRequestHandler)
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+ print("Serving on http://localhost:7700")
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+ httpd.serve_forever()
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+
trailssssss 2/face-api.min.js ADDED
The diff for this file is too large to render. See raw diff
 
trailssssss 2/index.html ADDED
@@ -0,0 +1,140 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <!DOCTYPE html>
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+ <html lang="en">
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+ <head>
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+ <meta charset="UTF-8">
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+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
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+ <title>Emotional Response System</title>
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+ <script defer src="face-api.min.js"></script>
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+ <script defer src="script.js"></script>
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+
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+ <style>
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+ :root {
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+ --primary-color: #2196F3;
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+ --success-color: #4CAF50;
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+ --warning-color: #FFC107;
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+ --error-color: #F44336;
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+ }
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+
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+ body {
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+ margin: 0;
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+ padding: 20px;
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+ width: 100vw;
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+ height: 100vh;
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+ display: flex;
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+ flex-direction: column;
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+ align-items: center;
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+ background-color: #f0f2f5;
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+ font-family: Arial, sans-serif;
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+ }
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+
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+ .header {
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+ text-align: center;
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+ margin-bottom: 20px;
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+ }
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+
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+ .container {
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+ position: relative;
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+ min-width: 720px;
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+ min-height: 560px;
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+ background-color: #fff;
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+ border-radius: 20px;
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+ box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
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+ overflow: hidden;
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+ }
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+
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+ video, canvas {
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+ width: 720px;
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+ height: 560px;
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+ position: absolute;
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+ border-radius: 20px;
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+ }
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+
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+ .message {
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+ position: fixed;
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+ top: 20px;
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+ left: 50%;
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+ transform: translateX(-50%);
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+ padding: 15px 30px;
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+ border-radius: 8px;
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+ font-weight: bold;
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+ z-index: 1000;
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+ transition: all 0.3s ease;
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+ }
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+
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+ #error-message {
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+ background-color: var(--error-color);
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+ color: white;
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+ display: none;
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+ }
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+
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+ #loading-message {
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+ background-color: var(--primary-color);
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+ color: white;
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+ display: none;
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+ }
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+
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+ #status-message {
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+ display: none;
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+ }
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+
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+ .status-message.success {
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+ background-color: var(--success-color);
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+ color: white;
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+ }
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+
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+ .status-message.warning {
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+ background-color: var(--warning-color);
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+ color: black;
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+ }
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+
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+ .status-message.info {
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+ background-color: var(--primary-color);
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+ color: white;
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+ }
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+
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+ .controls {
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+ margin-top: 20px;
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+ display: flex;
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+ gap: 10px;
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+ }
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+
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+ button {
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+ padding: 10px 20px;
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+ border: none;
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+ border-radius: 5px;
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+ background-color: var(--primary-color);
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+ color: white;
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+ cursor: pointer;
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+ transition: background-color 0.3s ease;
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+ }
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+
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+ button:hover {
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+ background-color: #1976D2;
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+ }
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+
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+ button:disabled {
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+ background-color: #BDBDBD;
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+ cursor: not-allowed;
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+ }
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+ </style>
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+ </head>
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+ <body>
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+ <div class="header">
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+ <h1>Emotional Response System</h1>
124
+ <p>This system detects your facial expressions and responds accordingly</p>
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+ </div>
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+
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+ <div class="container">
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+ <video id="video" width="720" height="560" autoplay muted></video>
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+ </div>
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+
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+ <div id="loading-message" class="message">Loading models...</div>
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+ <div id="error-message" class="message"></div>
133
+ <div id="status-message" class="message"></div>
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+
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+ <div class="controls">
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+ <button id="start-btn" onclick="startVideo()">Start Camera</button>
137
+ <button id="stop-btn" onclick="stopVideo()" disabled>Stop Camera</button>
138
+ </div>
139
+ </body>
140
+ </html>
trailssssss 2/models/face_expression_model-shard1 ADDED
Binary file (329 kB). View file
 
trailssssss 2/models/face_expression_model-weights_manifest.json ADDED
@@ -0,0 +1 @@
 
 
1
+ [{"weights":[{"name":"dense0/conv0/filters","shape":[3,3,3,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0057930146946626555,"min":-0.7125408074435067}},{"name":"dense0/conv0/bias","shape":[32],"dtype":"float32"},{"name":"dense0/conv1/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006473719839956246,"min":-0.6408982641556684}},{"name":"dense0/conv1/pointwise_filter","shape":[1,1,32,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010509579321917366,"min":-1.408283629136927}},{"name":"dense0/conv1/bias","shape":[32],"dtype":"float32"},{"name":"dense0/conv2/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005666389652326995,"min":-0.7252978754978554}},{"name":"dense0/conv2/pointwise_filter","shape":[1,1,32,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010316079270605948,"min":-1.1760330368490781}},{"name":"dense0/conv2/bias","shape":[32],"dtype":"float32"},{"name":"dense0/conv3/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0063220320963392074,"min":-0.853474333005793}},{"name":"dense0/conv3/pointwise_filter","shape":[1,1,32,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010322785377502442,"min":-1.4658355236053466}},{"name":"dense0/conv3/bias","shape":[32],"dtype":"float32"},{"name":"dense1/conv0/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0042531527724920535,"min":-0.5741756242864272}},{"name":"dense1/conv0/pointwise_filter","shape":[1,1,32,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010653339647779278,"min":-1.1825207009035}},{"name":"dense1/conv0/bias","shape":[64],"dtype":"float32"},{"name":"dense1/conv1/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005166931012097527,"min":-0.6355325144879957}},{"name":"dense1/conv1/pointwise_filter","shape":[1,1,64,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.011478300188101974,"min":-1.3888743227603388}},{"name":"dense1/conv1/bias","shape":[64],"dtype":"float32"},{"name":"dense1/conv2/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006144821410085641,"min":-0.8479853545918185}},{"name":"dense1/conv2/pointwise_filter","shape":[1,1,64,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010541967317169788,"min":-1.3809977185492421}},{"name":"dense1/conv2/bias","shape":[64],"dtype":"float32"},{"name":"dense1/conv3/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005769844849904378,"min":-0.686611537138621}},{"name":"dense1/conv3/pointwise_filter","shape":[1,1,64,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010939095534530341,"min":-1.2689350820055196}},{"name":"dense1/conv3/bias","shape":[64],"dtype":"float32"},{"name":"dense2/conv0/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0037769308277204924,"min":-0.40790852939381317}},{"name":"dense2/conv0/pointwise_filter","shape":[1,1,64,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.01188667194516051,"min":-1.4382873053644218}},{"name":"dense2/conv0/bias","shape":[128],"dtype":"float32"},{"name":"dense2/conv1/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006497045825509464,"min":-0.8381189114907208}},{"name":"dense2/conv1/pointwise_filter","shape":[1,1,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.011632198913424622,"min":-1.3377028750438316}},{"name":"dense2/conv1/bias","shape":[128],"dtype":"float32"},{"name":"dense2/conv2/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005947182225246056,"min":-0.7969224181829715}},{"name":"dense2/conv2/pointwise_filter","shape":[1,1,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.011436844339557722,"min":-1.4524792311238306}},{"name":"dense2/conv2/bias","shape":[128],"dtype":"float32"},{"name":"dense2/conv3/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006665432686899222,"min":-0.8998334127313949}},{"name":"dense2/conv3/pointwise_filter","shape":[1,1,128,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.01283421422920975,"min":-1.642779421338848}},{"name":"dense2/conv3/bias","shape":[128],"dtype":"float32"},{"name":"dense3/conv0/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.004711699953266218,"min":-0.6737730933170692}},{"name":"dense3/conv0/pointwise_filter","shape":[1,1,128,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.010955964817720302,"min":-1.3914075318504784}},{"name":"dense3/conv0/bias","shape":[256],"dtype":"float32"},{"name":"dense3/conv1/depthwise_filter","shape":[3,3,256,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.00554193468654857,"min":-0.7149095745647656}},{"name":"dense3/conv1/pointwise_filter","shape":[1,1,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.016790372250126858,"min":-2.484975093018775}},{"name":"dense3/conv1/bias","shape":[256],"dtype":"float32"},{"name":"dense3/conv2/depthwise_filter","shape":[3,3,256,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006361540626077091,"min":-0.8142772001378676}},{"name":"dense3/conv2/pointwise_filter","shape":[1,1,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.01777329678628959,"min":-1.7062364914838006}},{"name":"dense3/conv2/bias","shape":[256],"dtype":"float32"},{"name":"dense3/conv3/depthwise_filter","shape":[3,3,256,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006900275922289082,"min":-0.8625344902861353}},{"name":"dense3/conv3/pointwise_filter","shape":[1,1,256,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.015449936717164282,"min":-1.9003422162112067}},{"name":"dense3/conv3/bias","shape":[256],"dtype":"float32"},{"name":"fc/weights","shape":[256,7],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.004834276554631252,"min":-0.7203072066400565}},{"name":"fc/bias","shape":[7],"dtype":"float32"}],"paths":["face_expression_model-shard1"]}]
trailssssss 2/models/face_landmark_68_model-shard1 ADDED
Binary file (357 kB). View file
 
trailssssss 2/models/face_landmark_68_model-weights_manifest.json ADDED
@@ -0,0 +1 @@
 
 
1
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@@ -0,0 +1 @@
 
 
1
+ [{"weights":[{"name":"conv0/filters","shape":[3,3,3,16],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.009007044399485869,"min":-1.2069439495311063}},{"name":"conv0/bias","shape":[16],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.005263455241334205,"min":-0.9211046672334858}},{"name":"conv1/depthwise_filter","shape":[3,3,16,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.004001977630690033,"min":-0.5042491814669441}},{"name":"conv1/pointwise_filter","shape":[1,1,16,32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.013836609615999109,"min":-1.411334180831909}},{"name":"conv1/bias","shape":[32],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0015159862590771096,"min":-0.30926119685173037}},{"name":"conv2/depthwise_filter","shape":[3,3,32,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002666276225856706,"min":-0.317286870876948}},{"name":"conv2/pointwise_filter","shape":[1,1,32,64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.015265831292844286,"min":-1.6792414422128714}},{"name":"conv2/bias","shape":[64],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0020280554598453,"min":-0.37113414915168985}},{"name":"conv3/depthwise_filter","shape":[3,3,64,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006100742489683862,"min":-0.8907084034938438}},{"name":"conv3/pointwise_filter","shape":[1,1,64,128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.016276211832083907,"min":-2.0508026908425725}},{"name":"conv3/bias","shape":[128],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.003394414279975143,"min":-0.7637432129944072}},{"name":"conv4/depthwise_filter","shape":[3,3,128,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.006716050119961009,"min":-0.8059260143953211}},{"name":"conv4/pointwise_filter","shape":[1,1,128,256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.021875603993733724,"min":-2.8875797271728514}},{"name":"conv4/bias","shape":[256],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.0041141652009066415,"min":-0.8187188749804216}},{"name":"conv5/depthwise_filter","shape":[3,3,256,1],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008423839597141042,"min":-0.9013508368940915}},{"name":"conv5/pointwise_filter","shape":[1,1,256,512],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.030007277283014035,"min":-3.8709387695088107}},{"name":"conv5/bias","shape":[512],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.008402082966823203,"min":-1.4871686851277068}},{"name":"conv8/filters","shape":[1,1,512,25],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.028336129469030042,"min":-4.675461362389957}},{"name":"conv8/bias","shape":[25],"dtype":"float32","quantization":{"dtype":"uint8","scale":0.002268134028303857,"min":-0.41053225912299807}}],"paths":["tiny_face_detector_model-shard1"]}]
trailssssss 2/script.js ADDED
@@ -0,0 +1,288 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ // script.js
2
+ const video = document.getElementById('video');
3
+ const loadingMessage = document.getElementById('loading-message');
4
+ const errorMessage = document.getElementById('error-message');
5
+ const statusMessage = document.getElementById('status-message');
6
+ let canvas;
7
+ let lastExpression = '';
8
+ let isProcessing = false;
9
+
10
+ // Define emojis and prompts for each emotion with more natural responses
11
+ const expressionsToEmojiAndPrompt = {
12
+ happy: {
13
+ emoji: '😊',
14
+ responses: [
15
+ "Your smile is contagious! How can I make your day even better?",
16
+ "It's wonderful to see you happy! What's bringing you joy today?",
17
+ "That's a beautiful smile! Let's keep that positive energy going!"
18
+ ]
19
+ },
20
+ sad: {
21
+ emoji: '😢',
22
+ responses: [
23
+ "I notice you seem down. Would you like to talk about what's bothering you?",
24
+ "Sometimes we all need a moment to feel our emotions. I'm here to listen.",
25
+ "Remember that difficult moments are temporary. How can I support you?"
26
+ ]
27
+ },
28
+ angry: {
29
+ emoji: '😠',
30
+ responses: [
31
+ "I can see you're frustrated. Let's take a deep breath together.",
32
+ "Sometimes anger tells us something important. Would you like to discuss it?",
33
+ "I understand you're upset. How can we work through this together?"
34
+ ]
35
+ },
36
+ neutral: {
37
+ emoji: '😐',
38
+ responses: [
39
+ "How are you feeling today? I'm here to chat about anything.",
40
+ "Sometimes a neutral moment is good for reflection. What's on your mind?",
41
+ "Is there something specific you'd like to discuss?"
42
+ ]
43
+ },
44
+ disgusted: {
45
+ emoji: '🤢',
46
+ responses: [
47
+ "Something seems to be bothering you. Would you like to talk about it?",
48
+ "Let's focus on making this situation better. What would help?",
49
+ "I notice your discomfort. How can we improve things?"
50
+ ]
51
+ },
52
+ surprised: {
53
+ emoji: '😮',
54
+ responses: [
55
+ "Oh! What caught you by surprise? I'd love to hear about it!",
56
+ "Unexpected moments can be exciting! Want to share what surprised you?",
57
+ "That's quite a reaction! What happened?"
58
+ ]
59
+ },
60
+ fearful: {
61
+ emoji: '😨',
62
+ responses: [
63
+ "You're safe here. Would you like to talk about what's concerning you?",
64
+ "I understand feeling scared. Let's work through this together.",
65
+ "Sometimes sharing our fears makes them less overwhelming. I'm here to listen."
66
+ ]
67
+ }
68
+ };
69
+
70
+ // Load face detection models with better error handling
71
+ async function loadModels() {
72
+ loadingMessage.style.display = 'block';
73
+ try {
74
+ const MODEL_URL = '/models';
75
+ await Promise.all([
76
+ faceapi.nets.tinyFaceDetector.loadFromUri(MODEL_URL),
77
+ faceapi.nets.faceLandmark68Net.loadFromUri(MODEL_URL),
78
+ faceapi.nets.faceRecognitionNet.loadFromUri(MODEL_URL),
79
+ faceapi.nets.faceExpressionNet.loadFromUri(MODEL_URL)
80
+ ]);
81
+
82
+ loadingMessage.style.display = 'none';
83
+ updateStatus('Models loaded successfully!', 'success');
84
+ await startVideo();
85
+ } catch (err) {
86
+ handleError('Error loading models: ' + err.message);
87
+ }
88
+ }
89
+
90
+ // Enhanced video stream initialization
91
+ async function startVideo() {
92
+ try {
93
+ const stream = await navigator.mediaDevices.getUserMedia({
94
+ video: {
95
+ width: { ideal: 720 },
96
+ height: { ideal: 560 },
97
+ facingMode: 'user'
98
+ }
99
+ });
100
+ video.srcObject = stream;
101
+ updateStatus('Camera initialized successfully!', 'success');
102
+ } catch (err) {
103
+ handleError('Camera access denied: ' + err.message);
104
+ }
105
+ }
106
+
107
+ // Stop video stream
108
+ function stopVideo() {
109
+ const stream = video.srcObject;
110
+ if (stream) {
111
+ const tracks = stream.getTracks();
112
+ tracks.forEach(track => track.stop());
113
+ video.srcObject = null;
114
+ }
115
+ }
116
+
117
+ // Create canvas with proper positioning
118
+ function createCanvas() {
119
+ if (!canvas) {
120
+ canvas = faceapi.createCanvasFromMedia(video);
121
+ canvas.style.position = 'absolute';
122
+ canvas.style.top = '0';
123
+ canvas.style.left = '0';
124
+ document.querySelector('.container').append(canvas);
125
+ }
126
+ }
127
+
128
+ // Enhanced face detection with debouncing
129
+ async function detectFaces(interval = 500) {
130
+ if (!video || !canvas || isProcessing) return;
131
+ isProcessing = true;
132
+
133
+ const displaySize = { width: video.width, height: video.height };
134
+ faceapi.matchDimensions(canvas, displaySize);
135
+
136
+ try {
137
+ const detections = await faceapi.detectAllFaces(video,
138
+ new faceapi.TinyFaceDetectorOptions())
139
+ .withFaceLandmarks()
140
+ .withFaceExpressions();
141
+
142
+ if (detections.length === 0) {
143
+ updateStatus('No face detected', 'warning');
144
+ return;
145
+ }
146
+
147
+ const resizedDetections = faceapi.resizeResults(detections, displaySize);
148
+ drawDetections(resizedDetections);
149
+ processExpressions(resizedDetections);
150
+
151
+ } catch (err) {
152
+ handleError('Detection error: ' + err.message);
153
+ } finally {
154
+ isProcessing = false;
155
+ setTimeout(() => detectFaces(interval), interval);
156
+ }
157
+ }
158
+
159
+ // Draw detections with improved visualization
160
+ function drawDetections(resizedDetections) {
161
+ const ctx = canvas.getContext('2d');
162
+ ctx.clearRect(0, 0, canvas.width, canvas.height);
163
+
164
+ // Draw with different colors for better visibility
165
+ faceapi.draw.drawDetections(canvas, resizedDetections, { boxColor: '#00ff00' });
166
+ faceapi.draw.drawFaceLandmarks(canvas, resizedDetections, { color: '#00ff00' });
167
+ faceapi.draw.drawFaceExpressions(canvas, resizedDetections);
168
+ }
169
+
170
+ // Process expressions and generate responses
171
+ function processExpressions(detections) {
172
+ detections.forEach(detection => {
173
+ const expressions = detection.expressions;
174
+ const topExpression = Object.keys(expressions)
175
+ .reduce((a, b) => expressions[a] > expressions[b] ? a : b);
176
+
177
+ if (topExpression !== lastExpression) {
178
+ lastExpression = topExpression;
179
+ const emojiData = expressionsToEmojiAndPrompt[topExpression];
180
+ const randomResponse = emojiData.responses[
181
+ Math.floor(Math.random() * emojiData.responses.length)
182
+ ];
183
+
184
+ sendPromptToOllama(randomResponse);
185
+ drawEmoji(detection, emojiData.emoji);
186
+ updateStatus(`Detected emotion: ${topExpression}`, 'info');
187
+ }
188
+ });
189
+ }
190
+
191
+ // Draw emoji with improved positioning
192
+ function drawEmoji(detection, emoji) {
193
+ const ctx = canvas.getContext('2d');
194
+ const { x, y, width } = detection.detection.box;
195
+ ctx.font = `${width * 0.2}px Arial`;
196
+ ctx.fillStyle = '#ffffff';
197
+ ctx.strokeStyle = '#000000';
198
+ ctx.lineWidth = 2;
199
+ ctx.textAlign = 'center';
200
+ ctx.strokeText(emoji, x + width / 2, y - 10);
201
+ ctx.fillText(emoji, x + width / 2, y - 10);
202
+ }
203
+
204
+ // Enhanced error handling
205
+ function handleError(message) {
206
+ console.error(message);
207
+ errorMessage.textContent = message;
208
+ errorMessage.style.display = 'block';
209
+ loadingMessage.style.display = 'none';
210
+
211
+ // Hide error after 5 seconds
212
+ setTimeout(() => {
213
+ errorMessage.style.display = 'none';
214
+ }, 5000);
215
+ }
216
+
217
+ // Status updates
218
+ function updateStatus(message, type) {
219
+ statusMessage.textContent = message;
220
+ statusMessage.className = `status-message ${type}`;
221
+ statusMessage.style.display = 'block';
222
+ setTimeout(() => {
223
+ statusMessage.style.display = 'none';
224
+ }, 3000);
225
+ }
226
+
227
+ // Ollama API integration
228
+ async function sendPromptToOllama(prompt) {
229
+ try {
230
+ // Create a context-aware prompt
231
+ const fullPrompt = `You are an AI assistant responding to a user's emotional state.
232
+ The user appears to be ${lastExpression}.
233
+ Respond naturally and empathetically to this prompt: ${prompt}`;
234
+
235
+ const response = await fetch('http://localhost:11434/api/generate', {
236
+ method: 'POST',
237
+ headers: { 'Content-Type': 'application/json' },
238
+ body: JSON.stringify({
239
+ model: "llama2",
240
+ prompt: fullPrompt,
241
+ stream: false
242
+ })
243
+ });
244
+
245
+ if (!response.ok) {
246
+ throw new Error(`HTTP error! status: ${response.status}`);
247
+ }
248
+
249
+ const data = await response.json();
250
+ if (data && data.response) {
251
+ playTextAsSpeech(data.response);
252
+ updateStatus('Response received', 'success');
253
+ }
254
+ } catch (error) {
255
+ handleError('Ollama API Error: ' + error.message);
256
+ console.error('Full error:', error);
257
+
258
+ // Fallback to default responses if API fails
259
+ const fallbackResponse = expressionsToEmojiAndPrompt[lastExpression].responses[0];
260
+ playTextAsSpeech(fallbackResponse);
261
+ }
262
+ }
263
+
264
+ // Improved speech synthesis
265
+ function playTextAsSpeech(text) {
266
+ try {
267
+ const speech = new SpeechSynthesisUtterance(text);
268
+ speech.rate = 1.0;
269
+ speech.pitch = 1.0;
270
+ speech.volume = 1.0;
271
+ window.speechSynthesis.cancel(); // Cancel any ongoing speech
272
+ window.speechSynthesis.speak(speech);
273
+ } catch (error) {
274
+ handleError('Speech synthesis error: ' + error.message);
275
+ }
276
+ }
277
+
278
+ // Initialize
279
+ document.addEventListener('DOMContentLoaded', loadModels);
280
+ video.addEventListener('play', () => {
281
+ createCanvas();
282
+ detectFaces(500);
283
+ });
284
+
285
+ // Clean up resources when the page is closed
286
+ window.addEventListener('beforeunload', () => {
287
+ stopVideo();
288
+ });