vardanagarwal

import numpy as np
import tensorflow as tf
import cv2
import visualization_utils as vis_util

def create_category_index(label_path='coco_ssd_mobilenet/labelmap.txt'):
    """
    To create dictionary of label map

    Parameters

vardanagarwal

import cv2
import numpy as np
import tensorflow as tf
from tensorflow import keras

def get_face_detector(modelFile = "models/res10_300x300_ssd_iter_140000.caffemodel",
                      configFile = "models/deploy.prototxt"):
    """
    Get the face detection caffe model of OpenCV's DNN module
    

vardanagarwal

"""Human facial landmark detector based on Convolutional Neural Network."""
import cv2
import numpy as np
import tensorflow as tf
from tensorflow import keras
import math


class FaceDetector:
    """Detect human face from image"""

vardanagarwal

import cv2
import numpy as np
import tensorflow as tf
from tensorflow import keras


class FaceDetector:
    """Detect human face from image"""

    def __init__(self,

vardanagarwal

import numpy as np
import cv2
from sklearn.externals import joblib

def calc_hist(img):
    histogram = [0] * 3
    for j in range(3):
        histr = cv2.calcHist([img], [j], None, [256], [0, 256])
        histr *= 255.0 / histr.max()
        histogram[j] = histr

vardanagarwal

vardanagarwal

from itertools import combinations_with_replacement
from collections import defaultdict

import numpy as np
from numpy.linalg import inv

B, G, R = 0, 1, 2  # index for convenience

def boxfilter(I, r):
    """Fast box filter implementation.

vardanagarwal

import speech_recognition as sr
import pyaudio
import wave
import time
import threading
import os

def read_audio(stream, filename):
    chunk = 1024  # Record in chunks of 1024 samples
    sample_format = pyaudio.paInt16  # 16 bits per sample

vardanagarwal

import cv2
import dlib
import numpy as np
import threading
from yolo_helper import YoloV3, load_darknet_weights, draw_outputs
from dlib_helper import (shape_to_np, 
                          eye_on_mask,
                          contouring,
                          process_thresh, 
                          print_eye_pos,

vardanagarwal