git config --global core.excludesfile ~/.gitignore
# Custom folder
ignore
| find . -maxdepth 1 -type f \( -name "*.MOV" -or -name "*.mov" \) -exec echo {} \; -exec xattr -d com.apple.FinderInfo {} \; |
| sudo apt-get install build-essential | |
| sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev | |
| sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev | |
| mkdir ~/Documents/temp | |
| cd ~/Documents/temp | |
| git clone https://github.com/opencv/opencv.git | |
| cd opencv | |
| git checkout 3.3.1 | |
| cd .. | |
| git clone https://github.com/opencv/opencv_contrib.git |
| # library | |
| import numpy as np | |
| # b_size is batch size | |
| # inp_dim is input dimension | |
| # hid_dim is hidden dimension | |
| # out_dim is output dimension | |
| b_size, inp_dim, hid_dim, out_dim = 64, 1000, 100, 10 | |
| # Create random dataset |
| import os | |
| import opencv as cv2 | |
| train_folder = 'path/to/Image_folder' | |
| image_paths = [os.listdir(x[0]) for x in os.walk(train_folder)] | |
| for a in image_paths: | |
| resized_a = cv2.resize(a, (32, 32)) |
| import cv2 | |
| import numpy as np | |
| # from keras.models import load_model | |
| rgb = cv2.VideoCapture(1) | |
| facec = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') | |
| font = cv2.FONT_HERSHEY_SIMPLEX | |
| # d_faces = np.load('./dataset/face_data.npy') | |
| # l_faces = np.load('./dataset/face_lab.npy') |
| import numpy as np | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| %matplotlib inline | |
| import os | |
| import cv2 | |
| train_folder = 'GTRSB/train/GTSRB/Final_Training/Images' | |
| image_paths = [os.listdir(x[0]) for x in os.walk(train_folder)] |
| import os | |
| import shutil | |
| from tkinter import Tk | |
| from tkinter import filedialog | |
| import zipfile | |
| def select_folder(): | |
| root = Tk() | |
| root.withdraw() |
| class LiFailed(): | |
| pass | |
| class TrFailed(): | |
| pass | |
| try: | |
| # whole code of li structure | |
| if a == " ": |