ianforme

# Get a reference to webcam 
video_capture = cv2.VideoCapture(0)

emotion_dict = {
    0: 'Surprise',
    1: 'Happy', 
    2: 'Disgust',
    3: 'Anger',
    4: 'Sadness',
    5: 'Fear',

ianforme

input = Input(shape=(48, 48, 1))
cnn1 = Conv2D(36, kernel_size=3, activation='relu')(input)
cnn1 = MaxPool2D(pool_size=3, strides=2)(cnn1)
cnn2 = Conv2D(64, kernel_size=3, activation='relu')(cnn1)
cnn2 = MaxPool2D(pool_size=3, strides=2)(cnn2)
cnn3 = Conv2D(128, kernel_size=3, activation='relu')(cnn2)
cnn3 = MaxPool2D(pool_size=3, strides=2)(cnn3)
dense = Flatten()(cnn3)
dense = Dropout(0.3)(dense)
dense = Dense(256, activation='relu')(dense)

ianforme

input = Input(shape=(224, 224, 3))
cnn1 = Conv2D(36, kernel_size=3, activation='relu')(input)
cnn1 = MaxPool2D(pool_size=3, strides=2)(cnn1)
cnn2 = Conv2D(64, kernel_size=3, activation='relu')(cnn1)
cnn2 = MaxPool2D(pool_size=3, strides=2)(cnn2)
cnn3 = Conv2D(128, kernel_size=3, activation='relu')(cnn2)
cnn3 = MaxPool2D(pool_size=3, strides=2)(cnn3)
cnn4 = Conv2D(256, kernel_size=3, activation='relu')(cnn3)
cnn4 = MaxPool2D(pool_size=3, strides=2)(cnn4)
cnn5 = Conv2D(512, kernel_size=3, activation='relu')(cnn4)

ianforme

input = Input(shape=(224, 224, 3))

cnn1 = Conv2D(128, kernel_size=3, activation='relu')(input)
cnn1 = Conv2D(128, kernel_size=3, activation='relu')(cnn1)
cnn1 = Conv2D(128, kernel_size=3, activation='relu')(cnn1)
cnn1 = MaxPool2D(pool_size=3, strides=2)(cnn1)

cnn2 = Conv2D(128, kernel_size=3, activation='relu')(cnn1)
cnn2 = Conv2D(128, kernel_size=3, activation='relu')(cnn2)
cnn2 = Conv2D(128, kernel_size=3, activation='relu')(cnn2)

ianforme

from sklearn.cluster import KMeans, AgglomerativeClustering, DBSCAN, Birch
from sklearn.mixture import GaussianMixture
from PIL import Image 
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# load picture
img = Image.open('./thor4.jpg') 
arr = np.array(img)

ianforme

ianforme

<div class='team-stats'>
  <div class='points-per-game'>
    <table class='category-table'> 
      <tr>
        <a class='team-name'>Golden State Warriors</a>
        <a class='team-value'>116.3</a>
      </tr> 
      <tr>
        <a class='team-name'>LA Clippers</a>
        <a class='team-value'>114.7</a>