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name: menv3.8
channels:
  - conda-forge
  - defaults
dependencies:
  - _libgcc_mutex=0.1=conda_forge
  - _openmp_mutex=4.5=1_llvm
  - abseil-cpp=20210324.2=h9c3ff4c_0
  - albumentations=1.0.3=pyhd8ed1ab_0
  - alsa-lib=1.2.3=h516909a_0

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import matplotlib.pyplot as plt
def plotme(x, output):
    plt.figure()
    plt.imshow(x)
    plt.savefig(output)

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from glob import glob
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
%matplotlib inline

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alabaster==0.7.11
apturl==0.5.2
astroid==2.0.1
axel-wrapper==0.0.1
Babel==2.6.0
backcall==0.1.0
beautifulsoup4==4.4.1
bleach==2.1.3
blinker==1.3
Brlapi==0.6.4

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$ git remote rm origin
$ git remote add origin git@github.com:aplikacjainfo/proj1.git
$ git config master.remote origin
$ git config master.merge refs/heads/master

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* delete current line
** go to the line, press esc, press dd

* undo
** `esc` + `u`

* paste python code
** `esc` + `:set paste`

* cut paste

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How to install NVIDIA Docker 2 package on Ubuntu and Debian:

If you came to this result (from Google or elsewhere) after realizing that Nvidia-docker's entry on this subject does not result in a working installation, here are the basic steps needed to install this package correctly:

For starters, ensure that you've installed the latest Docker Community edition by following the steps below:

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo apt-key fingerprint 0EBFCD88

sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

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import matplotlib.pyplot as plt

SMALL_SIZE = 15
MEDIUM_SIZE = 15
BIGGER_SIZE = 15

plt.rc('font', size=BIGGER_SIZE)          # controls default text sizes
plt.rc('axes', titlesize=SMALL_SIZE)     # fontsize of the axes title
plt.rc('axes', labelsize=MEDIUM_SIZE)    # fontsize of the x and y labels
plt.rc('xtick', labelsize=SMALL_SIZE)    # fontsize of the tick labels

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* Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks

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from PIL import Image, ImageDraw
import cv2

def draw_rect(img, box, img_src):
    x1, y1, x2, y2 = map(int, box)
    if img_src == 'pil':
        draw = ImageDraw.Draw(img)
        draw.rectangle(((x1, y1), (x2, y2)), width=10, outline="red")
        del draw
    elif img_src == 'cv2':