innvestigate.applications¶
Imagenet¶
Example applications for image classifcation.
Each function returns a pretrained ImageNet model. The models are based on keras.applications models and contain additionally pretrained patterns.
The returned dictionary contains the following keys: model, in, sm_out, out, image_shape, color_coding, preprocess_f, patterns.
Function parameters:
param load_weights: | |
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Download or access cached weights. | |
param load_patterns: | |
Download or access cached patterns. |
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innvestigate.applications.imagenet.
vgg16
(load_weights=False, load_patterns=False)¶
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innvestigate.applications.imagenet.
vgg19
(load_weights=False, load_patterns=False)¶
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innvestigate.applications.imagenet.
resnet50
(load_weights=False, load_patterns=False)¶
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innvestigate.applications.imagenet.
inception_v3
(load_weights=False, load_patterns=False)¶
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innvestigate.applications.imagenet.
inception_resnet_v2
(load_weights=False, load_patterns=False)¶
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innvestigate.applications.imagenet.
densenet121
(load_weights=False, load_patterns=False)¶
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innvestigate.applications.imagenet.
densenet169
(load_weights=False, load_patterns=False)¶
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innvestigate.applications.imagenet.
densenet201
(load_weights=False, load_patterns=False)¶
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innvestigate.applications.imagenet.
nasnet_large
(load_weights=False, load_patterns=False)¶
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innvestigate.applications.imagenet.
nasnet_mobile
(load_weights=False, load_patterns=False)¶