!add-apt-repository ppa:deadsnakes/ppa
!apt-get update
!apt-get install python3.5
!apt-get install python3.5-dev

!wget https://bootstrap.pypa.io/get-pip.py && python3.5 get-pip.py
  
import sys

sys.path[2] = '/usr/lib/python35.zip'
sys.path[3] = '/usr/lib/python3.5'
sys.path[4] = '/usr/lib/python3.5/lib-dynload'
sys.path[5] = '/usr/local/lib/python3.5/dist-packages'
sys.path[7] ='/usr/local/lib/python3.5/dist-packages/IPython/extensions'

!wget https://anaconda.org/pytorch/pytorch-nightly/1.0.0.dev20181206/download/linux-64/pytorch-nightly-1.0.0.dev20181206-py2.7_cuda9.2.148_cudnn7.4.1_0.tar.bz2
!tar xvjf pytorch-nightly-1.0.0.dev20181206-py2.7_cuda9.2.148_cudnn7.4.1_0.tar.bz2
!cp -r lib/python2.7/site-packages/* /usr/local/lib/python2.7/dist-packages/

# To check if Caffe2 build was successful
!python2 -c 'from caffe2.python import core' 2>/dev/null && echo "Success" || echo "Failure"

exec(open('PATH_TO_PYTHON_FILE').read())

%%writefile YOUR_FILE.py

##Anything you'd like

from google.colab import drive
drive.mount('/content/gdrive')

from google.colab import files
import os

data_path = 'sample_data'

for file in os.listdir(data_path):
  files.download(data_path + '/' + file)

# Run this cell and select the kaggle.json file downloaded
# from the Kaggle account settings page.
from google.colab import files
files.upload()

# Let's make sure the kaggle.json file is present.
!ls -lha kaggle.json

# Next, install the Kaggle API client.
!pip install -q kaggle

# The Kaggle API client expects this file to be in ~/.kaggle,
# so move it there.
!mkdir -p ~/.kaggle
!cp kaggle.json ~/.kaggle/

# This permissions change avoids a warning on Kaggle tool startup.
!chmod 600 ~/.kaggle/kaggle.json

# List available datasets.
!kaggle datasets list

# Copy the stackoverflow data set locally.
!kaggle datasets download -d stackoverflow/stack-overflow-2018-developer-survey

!head ~/.kaggle/datasets/stackoverflow/stack-overflow-2018-developer-survey/survey_results_public.csv

!apt install ffmpeg

#out_w is the width of the output rectangle
#out_h is the height of the output rectangle
#x and y specify the top left corner of the output rectangle
!ffmpeg -i INPUT_FILE_NAME.mp4 -filter:v "crop=out_w:out_h:x:y" OUTPUT_FILE_NAME.mp4

# -ss: Used with -i, this seeks in the input file (input.mp4) to position. 
# 00:01:00: This is the time your trimmed video will start with. 
# -to: This specifies duration from start (00:01:40) to end (00:02:12). 
!ffmpeg -ss 00:01:00 -i INPUT_FILE_NAME.mp4 -to 00:02:00 -c copy OUTPUT_FILE_NAME.mp4

!ffmpeg -i INPUT_FILE_NAME.mpg -r DESIRED_FPS_RATE 'OUTPUT_FILE_NAME%03d.png'

#Fixed width and height 
!ffmpeg -i INPUT_FILE_NAME.avi -vf scale="OUTPUT_WIDTH:OUTPUT_HEIGHT" OUTPUT_FILE_NAME.avi

#Retain aspect ratio
#resize based on the width
!ffmpeg -i INPUT_FILE_NAME.avi -vf scale="NEW_WIDTH:-1" OUTPUT_FILE_NAME.avi

#Scale based on input
!ffmpeg -i INPUT_FILE_NAME.avi -vf scale="INPUT_WIDTH/1:INPUT_HEIGHT/2" OUTPUT_FILE_NAME.avi