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Be able to return folder image classifications as a Python dictionary #14

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Merged
mdmintz merged 4 commits into from
May 18, 2017
Merged

Be able to return folder image classifications as a Python dictionary #14

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c8514c2
Be able to return folder classifications as a Python dict
mdmintz May 18, 2017
8d50519
Update text
mdmintz May 18, 2017
a91f7eb
Add example to classify folder images into a dictionary
mdmintz May 18, 2017
92a835e
Version 1.0.16
mdmintz May 18, 2017
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2 changes: 1 addition & 1 deletion examples/test_python_folder_classify.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
from tensorpy import image_base

classifications = image_base.classify_folder_images('./images')
print("*** Displaying Image Classification Results: ***")
print("*** Displaying Image Classification Results as list: ***")
for classification in classifications:
print classification
5 changes: 5 additions & 0 deletions examples/test_python_folder_classify_dict.py
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@@ -0,0 +1,5 @@
from tensorpy import image_base

dictionary = image_base.classify_folder_images('./images', return_dict=True)
print("*** Displaying Image Classification Results as dictionary: ***")
print dictionary
2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -8,7 +8,7 @@

setup(
name='tensorpy',
version='1.0.15',
version='1.0.16',
url='http://tensorpy.com',
author='Michael Mintz',
author_email='@mintzworld',
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14 changes: 9 additions & 5 deletions tensorpy/image_base.py
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Expand Up @@ -118,8 +118,9 @@ def classify_local_image(file_path):
return best_guess


def classify_folder_images(folder_path):
classified_images = []
def classify_folder_images(folder_path, return_dict=False):
classified_images_list = []
classified_images_dict = {}
files = [f for f in listdir(folder_path) if isfile(join(folder_path, f))]
images = [f for f in files if (f.endswith('.jpg') or f.endswith('.png'))]
total = len(images)
Expand All @@ -128,10 +129,13 @@ def classify_folder_images(folder_path):
counter += 1
sys.stdout.write("\rClassifying Image %d of %s..." % (counter, total))
sys.stdout.flush()
classified_images.append(
classify_local_image(os.path.join(folder_path, image)))
result = classify_local_image(os.path.join(folder_path, image))
classified_images_list.append(result)
classified_images_dict[image] = result
sys.stdout.write("\rAll classifications have been completed!\n")
return classified_images
if return_dict:
return classified_images_dict
return classified_images_list


def classify(image_url):
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