tyommik

#!/bin/sh

# Application path
APP_PATH="$(dirname "${BASH_SOURCE[0]}")"
cd "$APP_PATH"

# Executable file
APP_EXEC="$APP_PATH/.exe"

# Steam / IDs

tyommik

This is a simple example of how to use loguru in your flask application

Just create a new InterceptHandler and add it to your app. Different settings should be configured in your config file, so that it is easy to change settings.

Logging is then as easy as:

from loguru import logger

logger.info("I am logging from loguru!")

tyommik

import threading
'''
    A generic iterator and generator that takes any iterator and wrap it to make it thread safe.
    This method was introducted by Anand Chitipothu in http://anandology.com/blog/using-iterators-and-generators/
    but was not compatible with python 3. This modified version is now compatible and works both in python 2.8 and 3.0 
'''
class threadsafe_iter:
    """Takes an iterator/generator and makes it thread-safe by
    serializing call to the `next` method of given iterator/generator.
    """

tyommik

def bb_intersection_over_union(boxA, boxB):
    # determine the (x, y)-coordinates of the intersection rectangle
    xA = max(boxA[0], boxB[0])
    yA = max(boxA[1], boxB[1])
    xB = min(boxA[2], boxB[2])
    yB = min(boxA[3], boxB[3])

    # compute the area of intersection rectangle
    interArea = abs(max((xB - xA, 0)) * max((yB - yA), 0))
    if interArea == 0:

tyommik

#!/usr/bin/env bash

# Config
MAINTAINER="Jed Frey"
VERSION=3.2.0

# Adapted from http://www.pyimagesearch.com/2016/10/24/ubuntu-16-04-how-to-install-opencv/
apt-get install --yes libjpeg-dev libtiff5-dev libjasper-dev libpng12-dev libavcodec-dev libavformat-dev \
			libswscale-dev libxvidcore-dev libx264-dev libv4l-dev liblapacke-dev libgtk-3-dev \
			libopenblas-dev libhdf5-dev libtesseract-dev libleptonica-dev \

tyommik

import numpy as np
import keras

class DataGenerator(keras.utils.Sequence):
    'Generates data for Keras'
    def __init__(self, list_IDs, labels, batch_size=32, dim=(32,32,32), n_channels=1,
                 n_classes=10, shuffle=True):
        'Initialization'
        self.dim = dim
        self.batch_size = batch_size

tyommik

A warning occurred (42 apples)
An error occurred

tyommik

1. Setup a project

2. Add groovy SDK support:
https://www.bonusbits.com/wiki/HowTo:Add_Groovy_SDK_to_IntelliJ_IDEA

3. Download http://(yourjenkinsurl)/job/(yourpipelinejob)/pipeline-syntax/gdsl
- this will give you the .gdsl file - download this to the src folder of your project.

4. Finally follow this step - right click on the src folder -> Mark directory as -> Sources Root