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.idea
.idea
 
 
caffe_ilsvrc12
caffe_ilsvrc12
 
 
tools
tools
 
 
.gitignore
.gitignore
 
 
ILSVRC2012_val_bbx_dimensions.json
ILSVRC2012_val_bbx_dimensions.json
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
act-tester.json
act-tester.json
 
 
activation_analysis.py
activation_analysis.py
 
 
alexnet.py
alexnet.py
 
 
caffe_classes.py
caffe_classes.py
 
 
confidence_maps_parallel.py
confidence_maps_parallel.py
 
 
confidence_maps_parallel_small.py
confidence_maps_parallel_small.py
 
 
confidence_maps_serial.py
confidence_maps_serial.py
 
 
dataset_utils.py
dataset_utils.py
 
 
delete_images.py
delete_images.py
 
 
find_maxdiff.py
find_maxdiff.py
 
 
find_maxdiff_tester.py
find_maxdiff_tester.py
 
 
high-act-sample.npz
high-act-sample.npz
 
 
image_alterations.py
image_alterations.py
 
 
imagenet.py
imagenet.py
 
 
imagenet_2012_validation_synset_labels.txt
imagenet_2012_validation_synset_labels.txt
 
 
imagenet_classes.py
imagenet_classes.py
 
 
inception.py
inception.py
 
 
inception_preprocessing.py
inception_preprocessing.py
 
 
inception_tester.py
inception_tester.py
 
 
inception_utils.py
inception_utils.py
 
 
laska.png
laska.png
 
 
ltest.npy
ltest.npy
 
 
make_small_dataset.py
make_small_dataset.py
 
 
min-img-stat-vis.py
min-img-stat-vis.py
 
 
minimal-image-statistics_small.py
minimal-image-statistics_small.py
 
 
minimal_image_statistics.py
minimal_image_statistics.py
 
 
myalexnet_forward.py
myalexnet_forward.py
 
 
myalexnet_forward_tester.py
myalexnet_forward_tester.py
 
 
periodicity_analysis.py
periodicity_analysis.py
 
 
plot-minimal-image-statistics.py
plot-minimal-image-statistics.py
 
 
poodle.png
poodle.png
 
 
remake_data.sh
remake_data.sh
 
 
resnet.py
resnet.py
 
 
resnet_utils.py
resnet_utils.py
 
 
settings.py
settings.py
 
 
small-dataset-to-imagenet.txt
small-dataset-to-imagenet.txt
 
 
stest.npy
stest.npy
 
 
vgg16.py
vgg16.py
 
 
vgg16_imagenet.py
vgg16_imagenet.py
 
 
vgg19.py
vgg19.py
 
 
vgg19_tester.py
vgg19_tester.py
 
 

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minimal-images

To create a confidence map for images 1 through 5, with 0.2*height crop size, using resnet, with image scale = 1: From command line: python confidence_map_parallel.py <resnet, vgg16, alexnet, inception> 1

0.2 0.4 0.6 0.8

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