sebastianberns
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Compute ‘clean’ high-level features

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Final project, Master in Artificial Intelligence, UPC BarcelonaTech

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Events

Features dtype

Freeze VAE params

Fix dataset targets data type

Created at 17 hours ago

Documentation and formatting

Discrete VAE

Created at 2 days ago

Add resize filter argument

Moved and renamed resize class

Features from data set

Move and rename resize

Created at 2 days ago
Created at 3 weeks ago
Created at 1 month ago
Created at 1 month ago

Number of features attribute

CleanFeaturesDataset documentation

Created at 2 months ago

Data targets

Better error message

Created at 2 months ago

Remove some default param values

Created at 2 months ago

Remove logging

Back backwards compatible

Created at 2 months ago

Imagenet normalization

Created at 2 months ago

inception_layer parameter

Inception get_layers

Parameter layer name and num features

Created at 2 months ago

Save method and features attribute documentation

Dataset documentation

Created at 2 months ago

Fix argument order

Improve introduction

Created at 2 months ago

Basic Inception v3 torchvision model

Basic logging

Improve description

Fix error message

Update instructions and citation

Import clip from standalone package

Clarify image pre-processing and input normalization

Created at 2 months ago

Rework channel augmentation (grayscale to RGB)

Created at 2 months ago

CleanFeaturesDataset

Load map location

Specify return types

Created at 2 months ago

Save method description

Created at 2 months ago

Basic Resnet implementation

No Resnet for now

Init argument description

Add class attributes and methods infor

Add features attribute

Path processing, keep and save computed features

Save file name

Created at 2 months ago