quantized model and added dockerignore.

Author: apaezcastro

.dockerignore

@@ -0,0 +1,24 @@
+# Git
+.git
+.gitignore
+
+# Python
+venv/
+venv_quantize/
+*.venv
+__pycache__/
+*.pyc
+
+# Node.js
+node_modules/
+npm-debug.log
+
+# Frontend (assuming your frontend code is in a folder named 'frontend' or 'src')
+# !!! Change 'frontend' to whatever your frontend folder is named
+frontend/
+public/
+src/
+
+# OS files
+.DS_Store
+Thumbs.db

.gitignore

@@ -10,6 +10,7 @@ __pycache__/
 # Virtual environment
 venv/
 .venv/
+venv*/
 
 # Jupyter and IPython
 .ipynb_checkpoints/

app.py

@@ -10,7 +10,7 @@
 face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
 
 # Load ONNX model
-session = ort.InferenceSession("emotion-ferplus-8.onnx", providers=["CPUExecutionProvider"])
+session = ort.InferenceSession("emotion-ferplus-8-quant.onnx", providers=["CPUExecutionProvider"])
 
 emotion_table = {
     0: 'neutral', 1: 'happiness', 2: 'surprise', 3: 'sadness',

emotion-ferplus-8.onnx emotion-ferplus-8-quant.onnxemotion-ferplus-8.onnx renamed to emotion-ferplus-8-quant.onnx

@@ -83,4 +83,4 @@ setInterval(() => {
     overlay.textContent = 'Error';
     console.error('Detection error:', err);
   });
-}, 1000);
+}, 100);