Metadata-Version: 2.1
Name: tensorflow_image_models
Version: 0.0.7
Summary: Tensorflow image models
Author: DEEPOLOGY LAB
Author-email: alaa.m.elmor@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: license.txt

Install<br />

pip install tensorflow_image_models==0.0.7

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Usage<br />

from tensorflow_image_models import list_models<br />

list_models()<br />

models list:<br />
DPN92<br />
DPN98<br />
DPN131<br />
DPN107<br />
EfficientNetB0<br />
EfficientNetB1<br />
.....<br />
.....<br />
VGG16<br />
VGG19<br />

Create Model<br />

from tensorflow_image_models import EfficientNet<br />
model = EfficientNet.EfficientNetB0(classes=10)<br />
model.summary()


from tensorflow_image_models import Inception<br />
model = Inception.InceptionV4(classes=3, input_shape=(299,299,3)<br />
model.summary()

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Here is a list of input shape expected for each model

EfficientNetB0 	   224, 224, 3
EfficientNetB1 	   240, 240, 3
EfficientNetB2 	   260, 260, 3
EfficientNetB3 	   300, 300, 3
EfficientNetB4 	   380, 380, 3
EfficientNetB5 	   456, 456, 3
EfficientNetB6 	   528, 528, 3
EfficientNetB7 	   600, 600, 3
AlexNet            224, 224, 3
InceptionResNetV2  299, 299, 3
InceptionV3	   299, 299, 3
LeNet 	           32,  32,  1
MobileNetV2	   224, 224, 3
ResNet18           224, 224, 3
ResNet34           224, 224, 3
VoVNet27           224, 224, 3
VoVNet39           224, 224, 3
VoVNet57           224, 224, 3


The rest of the models receive any shape, and the default shape is (128,128,3)

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License<br />
This project is licensed under the MIT License

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Author<br />
DEEPOLOGY LAB
