bryce first commit

%% Cell type:code id: tags:

``` python

import numpy as np

from matplotlib import pyplot as plt

from itertools import product

import os

import sys

from PIL import Image

from scipy.optimize import minimize,linprog

import time

import seaborn as sns

from sklearn.neighbors import KernelDensity

import pandas as pd

from collections import Counter

import time

import numpy.linalg as la

```

%% Cell type:markdown id: tags:

Round 1 : Using PIL to compress the tiff file.

Conclusion : The best that I could get using the lzw compressor from PIL was 61.5%. This is worse than the other one at 40, which is likely because it is using multiple channels instead of just one.

%% Cell type:code id: tags:

``` python

def file_extractor(dirname="images"):

    files = os.listdir(dirname)

    scenes = []

    for file in files:

        if file == '.DS_Store':

            continue

        else:

            scenes.append(os.path.join(dirname, file))

    return scenes

def image_extractor(scenes):

    image_folder = []

    for scene in scenes:

        files = os.listdir(scene)

        for file in files:

            if file[-5:] != ".tiff" or file[-7:] == "_6.tiff":

                continue

            else:

                image_folder.append(os.path.join(scene, file))

    return image_folder #returns a list of file paths to .tiff files in the specified directory given in file_extractor

```

%% Cell type:code id: tags:

``` python

scenes = file_extractor()

images = image_extractor(scenes)

```

%% Cell type:code id: tags:

``` python

first_example = images[0]

picture = Image.open(first_example)

print(picture.size)

```

%% Output

    (640, 513)

%% Cell type:code id: tags:

``` python

picture.save("Compressed_Test.tiff",compression='tiff_lzw')

```

%% Cell type:code id: tags:

``` python

compressed_location = "Compressed_Test.tiff"

```

%% Cell type:code id: tags:

``` python

compressed_image = Image.open(compressed_location)

```

%% Cell type:code id: tags:

``` python

print(compressed_image.size)

```

%% Output

    (640, 513)

%% Cell type:code id: tags:

``` python

from PIL import features

print(features.check('libtiff'))

```

%% Output

    True

%% Cell type:code id: tags:

``` python

size = os.path.getsize(compressed_location)

```

%% Cell type:code id: tags:

``` python

print(size)

```

%% Output

    473404

%% Cell type:code id: tags:

``` python

oldsize = os.path.getsize(first_example)

```

%% Cell type:code id: tags:

``` python

print(size/oldsize)

```

%% Output

    0.7203380417135197

%% Cell type:code id: tags:

``` python

from PIL import TiffTags

TiffTags.LIBTIFF_CORE.add(317)

picture.save('round_2.tiff', compression='tiff_lzw', tiffinfo={317: 2})

```

%% Cell type:code id: tags:

``` python

print(os.path.getsize('round_2.tiff'))

```

%% Output

    404176

%% Cell type:code id: tags:

``` python

print(404176/oldsize)

```

%% Output

    0.6149997641498668

%% Cell type:code id: tags:

``` python

```