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JUPYTER NOTEBOOK - Installation UBUNTU jupyter notebook: | |
https://www.digitalocean.com/community/tutorials/how-to-set-up-jupyter-notebook-with-python-3-on-ubuntu-18-04 | |
sudo apt update | |
sudo apt install python3-pip python3-dev | |
sudo -H pip3 install --upgrade pip | |
sudo -H pip3 install virtualenv | |
mkdir ~/my_project_dir | |
cd ~/my_project_dir | |
virtualenv my_project_env |
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Installing nodejs and npm | |
Prerequisites | |
Ubuntu 18.04 or 20.04 | |
A user with sudo privileges. | |
1- Install Node.js and NPM from Ubuntu Repository | |
The easiest way to install Node.js and NPM is from the Ubuntu repository. |
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# https://stackoverflow.com/questions/6118779/how-to-change-default-timezone-for-active-record-in-rails | |
# 0 -To find your tz: rake time:zones:all | |
# 1- To run: bundle exec rake time:zones:all | |
# 2- To test: rails console > Time.zone and Time.now | |
config.time_zone = "Atlantic Time (Canada)" | |
config.active_record.default_timezone = :local |
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from datetime import datetime, timedelta | |
import requests | |
import yagmail | |
import os | |
MY_LAT = -8.761070 | |
MY_LNG = -63.885980 | |
timezone_hour_offset = -4 |
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# https://stackoverflow.com/questions/65827830/disabledfunctionerror-cv2-imshow-is-disabled-in-colab-because-it-causes-jupy | |
from google.colab.patches import cv2_imshow | |
from PIL import Image | |
import face_recognition | |
import cv2 | |
import numpy as np | |
import matplotlib.pyplot as plt | |
%matplotlib inline |
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Added packages: | |
8 - anaconda_depends 2020.02 py37_0 8 | |
32 - binutils_impl_linux-64 2.36.1 h193b22a_2 conda-forge | |
33 - binutils_linux-64 2.36 hf3e587d_1 conda-forge | |
84 - flit-core 3.7.1 pyhd8ed1ab_0 conda-forge | |
90 - gcc_impl_linux-64 11.1.0 h6b5115b_8 conda-forge | |
91 - gcc_linux-64 11.1.0 h97fdae6_1 conda-forge | |
102 - gxx_impl_linux-64 11.1.0 h6b5115b_8 conda-forge | |
103 - gxx_linux-64 11.1.0 h33c4e4b_1 conda-forge |
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import face_recognition | |
import numpy as np | |
from PIL import Image, ImageDraw | |
# Load a sample picture and learn how to recognize it. | |
known_image = face_recognition.load_image_file("toby.jpg") | |
encoding = face_recognition.face_encodings(known_image)[0] | |
# Load an image with unknown faces | |
unknown_image = face_recognition.load_image_file("office.jpg") |
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from PIL import Image | |
import face_recognition | |
# Load the jpg file into a numpy array | |
image = face_recognition.load_image_file("office.jpg") | |
# Find all the faces in the image using the default HOG-based model. | |
# This method is fairly accurate, but not as accurate as the CNN model and not GPU accelerated. | |
# See also: find_faces_in_picture_cnn.py | |
face_locations = face_recognition.face_locations(image) |
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Sorted | first | second | third | ... | antepenultimate | penultimate | last | |
---|---|---|---|---|---|---|---|---|
RANDOM | QUICK | SHELL | MERGE | ... | SELECTION | COCKTAIL | BUBBLE | |
UNIQUE | QUICK | SHELL | MERGE | ... | SELECTION | COCKTAIL | BUBBLE | |
REVERSED | QUICK | SHELL | MERGE | ... | INSERTION | BUBBLE | COCKTAIL | |
ALMOST | INSERTION | COCKTAIL | QUICK | ... | HEAT | BUBBLE | SELECTION |
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# ReadMe File - For Django Project + VS Code | |
# Tutorial: https://medium.com/jungletronics/django-mtv-in-vs-code-a5953b09a4fd | |
Django version 4.0 | |
Python 3.9.7 | |
How to use (On Terminal): | |
1- Activate your djangoEnv -> djangoEnv\Scripts\activate |