epignatelli

"""
An implementation of the pytorch Subset that returns an instance of the original dataset with a reduced number of items.
This has two benefits:
  - It allows to stil access the attributes of the Dataset class, such as methods, or properties.
  - You can use the usual python index notation with slices to chunk the dataset, rather than creating a list of indices

"""
class Dataset(object):
  def __init__(self, iterable):
    self.items = iterable

decrispell

import rasterio

# load the geotiff (a DSM in this case) and read the data - only one index in this case
dsm = rasterio.open(dsm_fname)
dsm_data = dsm.read()[0]

# crop the data
dsm_crop = dsm_data[min_y:min_y+height, min_x:min_x+width]

# make a copy of the geotiff metadata

lpinner

# Copyright 2019 Luke Pinner
# 
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# 
#     http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

NegatioN

def _to_one_hot(y, num_classes):
    scatter_dim = len(y.size())
    y_tensor = y.view(*y.size(), -1)
    zeros = torch.zeros(*y.size(), num_classes, dtype=y.dtype)
        
    return zeros.scatter(scatter_dim, y_tensor, 1)


print(_to_one_hot(torch.as_tensor([2, 4, 7]), num_classes=10))
print(_to_one_hot(torch.as_tensor([[1, 5 ,6], [2, 4, 7]]), num_classes=10))

sgillies

jdhao

"""
in this script, we calculate the image per channel mean and standard
deviation in the training set, do not calculate the statistics on the
whole dataset, as per here http://cs231n.github.io/neural-networks-2/#datapre
"""

import numpy as np
from os import listdir
from os.path import join, isdir
from glob import glob

dentechy

How to automatically start ssh server on boot on Windows Subsystem for Linux

Microsoft partnered with Canonical to create Bash on Ubuntu on Windows, running through a technology called the Windows Subsystem for Linux. Below are instructions on how to set up the ssh server to run automatically at boot.

1. Edit the /etc/ssh/sshd_config file by running the command sudo vi /etc/ssh/sshd_config and do the following
   1. Change Port to 2222 (or any other port above 1000)
   2. Change PasswordAuthentication to yes. This can be changed back to no if ssh keys are setup.
2. Restart the ssh server:
   • sudo service ssh --full-restart
3. With this setup, the ssh server must be turned on every time you run Bash on Ubuntu on Windows, as by default it is off. Use this command to turn it on:

nikhita

How to update the Go version

System: Debian/Ubuntu/Fedora. Might work for others as well.

1. Uninstall the exisiting version

As mentioned here, to update a go version you will first need to uninstall the original version.

To uninstall, delete the /usr/local/go directory by:

lukas-h

Markdown License badges

Collection of License badges for your Project's README file.
This list includes the most common open source and open data licenses.
Easily copy and paste the code under the badges into your Markdown files.

Notes

• The badges do not fully replace the license informations for your projects, they are only emblems for the README, that the user can see the License at first glance.

Translations: (No guarantee that the translations are up-to-date)

• 🇫🇷 Cette liste en français

toolness

Adventures in Python Core Dumping

After watching Bryan Cantrill's presentation on [Running Aground: Debugging Docker in Production][aground] I got all excited (and strangely nostalgic) about the possibility of core-dumping server-side Python apps whenever they go awry. This would theoretically allow me to fully inspect the state of the program at the point it exploded, rather than relying solely on the information of a stack trace.