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1. Preprocess-GroupImages-Stanford

  • Move all stanford dog images to train data
  • Need run file "1. Preprocess-GroupImages" first, to create folders, such as data_train, data_val...

Import pkgs





In [1]:



    


import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import seaborn as sns
%matplotlib inline
from IPython.display import display
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix

import os
import zipfile
import pickle
from PIL import Image
from shutil import copy2

Unzip files

Manully unzip tar

Move images to data_train





In [2]:



    


cwd = os.getcwd()
data_path = os.path.join(cwd, 'input')
stanford_image_folder = os.path.join(data_path, 'Images')
data_train_path = os.path.join(data_path, 'data_train')
for folder_name in os.listdir(stanford_image_folder):
    folder = os.path.join(stanford_image_folder, folder_name)
    train_data_subfolder_name = folder_name[10:].lower()
    train_data_subfolder = os.path.join(data_train_path, train_data_subfolder_name)
    print(folder)
    print(train_data_subfolder)
    if os.path.exists(train_data_subfolder):
        print('+'*50)
    else:
        print('-'*50)
    for file_name in os.listdir(folder):
        file = os.path.join(folder, file_name)
        copy2(file, train_data_subfolder)



    


















    






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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02110627-affenpinscher
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\affenpinscher
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02110806-basenji
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\basenji
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02110958-pug
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\pug
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02111129-Leonberg
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\leonberg
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02111277-Newfoundland
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\newfoundland
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02111500-Great_Pyrenees
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\great_pyrenees
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02111889-Samoyed
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\samoyed
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02112018-Pomeranian
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\pomeranian
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02112137-chow
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\chow
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02112350-keeshond
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\keeshond
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02112706-Brabancon_griffon
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\brabancon_griffon
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02113023-Pembroke
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\pembroke
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02113186-Cardigan
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\cardigan
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02113624-toy_poodle
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\toy_poodle
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02113712-miniature_poodle
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\miniature_poodle
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02113799-standard_poodle
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\standard_poodle
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02113978-Mexican_hairless
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\mexican_hairless
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02115641-dingo
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\dingo
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02115913-dhole
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\dhole
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D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\Images\n02116738-African_hunting_dog
D:\Udacity\MachineLearning(Advanced)\p6_graduation_project\input\data_train\african_hunting_dog
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In [3]:



    


print('Done!')



    


















    






Done!

















In [ ]:

Content source: StudyExchange/Udacity

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