sariabod

from PIL import Image
import numpy as np

image = Image.open('sample.jpg')

#resize
image = image.resize((50,50))

#show resized
image.show()

sariabod

name: pytorchenv
channels:
  - defaults
  - pytorch
dependencies:
  - numpy=1.16.2
  - pandas=0.24.2
  - matplotlib=3.0.3
  - pillow=5.4.1
  - pip=19.0

sariabod

import pandas as pd
import pathlib
import sys
import uuid
import shutil

df = pd.read_csv('data/train.csv')
f = open("data/labels.csv","a")

sariabod

# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in 

import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import os
from scipy.misc import imread, imsave
import cv2

sariabod

HEADER:

POST /upload HTTP/1.1
Host: apigility
Cache-Control: no-cache
Postman-Token: 760cfb32-5d86-bb77-0a6a-e85383f95e9d
Content-Type: multipart/form-data; boundary=----WebKitFormBoundary7MA4YWxkTrZu0gW

------WebKitFormBoundary7MA4YWxkTrZu0gW
Content-Disposition: form-data; name="upload"; filename=""