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machinelearning147 / agreagate-dictionaries-with-common-keys.ipynb
Last active April 28, 2022 06:01
agreagate dictionaries with common keys.ipynb
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@machinelearning147
machinelearning147 / how-to-create-github-pull-request.ipynb
Created March 11, 2022 12:15
How to create Github Pull Request.ipynb
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machinelearning147 / compute-natuuur-logorithm.ipynb
Created August 17, 2021 15:02
Compute Natural Logorithm.ipynb
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machinelearning147 / compute-natuuur-logorithm.ipynb
Last active October 4, 2021 06:45
Compute Natural Logorithm.ipynb
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machinelearning147 / aws_instance_advisor_pyscpraping.ipynb
Created June 13, 2021 15:58
aws_instance_advisor_pyscpraping.ipynb
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machinelearning147 / aws_instance_advisor_pyscpraping.ipynb
Created June 13, 2021 11:13
aws_instance_advisor_pyscpraping.ipynb
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machinelearning147 / gradient-descent-intutive-understanding.ipynb
Created August 8, 2019 04:32
Gradient Descent Intutive understanding
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# usage:
# python simple_cameratest_opencv.py 1
import numpy as np
import cv2
import sys
n = sys.argv[1]
cap = cv2.VideoCapture(int(n))
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machinelearning147 / build_face_dataset.py
Last active November 20, 2018 14:29
Build face-dataset for face recognition application
# USAGE
# python build_face_dataset.py --cascade haarcascade_frontalface_default.xml --output dataset/shravan
# import the necessary packages
from imutils.video import VideoStream
import argparse
import imutils
import time
import cv2
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
webcam=cv2.VideoCapture(1)
cv2.namedWindow("faceWindow", cv2.WINDOW_GUI_NORMAL)
PADDING = 10
try: