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Types & classes40 in github.com/CSAILVision/IBD

⨍ Functions 276◇ Types & classes 40
↓ 5 callersClassResNet
loader/vqa_resnet.py:97
↓ 5 callersClassSegmentationPrefetcher
SegmentationPrefetcher will prefetch a bunch of segmentation images using a multiprocessing pool, so you do not have to wait around while
loader/data_loader.py:435
↓ 4 callersClassAverageMeter
Computes and stores the average and current value
util/experiments.py:22
↓ 4 callersClassFCView
loader/caffe_model.py:8
↓ 4 callersClassSingleConceptDataset
loader/feature_loader.py:222
↓ 3 callersClassAverageMeter
Computes and stores the average and current value
util/feature_operation.py:20
↓ 3 callersClassConceptDataset
loader/feature_loader.py:102
↓ 2 callersClassCaption
Represents a complete or partial caption.
loader/caption_helper.py:29
↓ 2 callersClassConceptSampler
loader/feature_loader.py:203
↓ 2 callersClassFeatureOperator
util/feature_operation.py:78
↓ 2 callersClassIndexLinear
util/feature_decoder.py:150
↓ 2 callersClassLRN
loader/caffe_model.py:19
↓ 2 callersClassSegmentationData
Represents and loads a multi-channel segmentation represented with a series of csv files: index.csv lists the images together with any la
loader/data_loader.py:74
↓ 2 callersClassSingleSigmoidFeatureClassifier
util/feature_decoder.py:172
↓ 2 callersClassTextProcessor
loader/vqa_model.py:104
↓ 2 callersClassTopN
Maintains the top n elements of an incrementally provided set.
loader/caption_helper.py:182
↓ 1 callersClassAttention
loader/vqa_model.py:134
↓ 1 callersClassCaffeNetCAM
loader/caffe_model.py:60
↓ 1 callersClassCaffeNet_David
loader/caffe_model.py:205
↓ 1 callersClassCaptionGenerator
Class to generate captions from an image-to-text model.
loader/caption_helper.py:70
↓ 1 callersClassCaptionModel
loader/caption_model.py:58
↓ 1 callersClassClassifier
loader/vqa_model.py:94
↓ 1 callersClassFeatureDataset
loader/feature_loader.py:21
↓ 1 callersClassNegWLoss
util/feature_decoder.py:161
↓ 1 callersClassQuantileVector
Streaming randomized quantile computation for numpy. Add any amount of data repeatedly via add(data). At any time, quantile estimates (
util/vecquantile.py:3
↓ 1 callersClassSimpleVQANet
loader/vqa_model.py:9
↓ 1 callersClassVGG16
loader/caffe_model.py:149
↓ 1 callersClassVGG16CAM
loader/caffe_model.py:97
↓ 1 callersClassVQA
VQA dataset, open-ended
loader/vqa_data_loader.py:23
↓ 1 callersClassconcept_loader_factory
loader/feature_loader.py:239
ClassAbstractSegmentation
loader/data_loader.py:38
ClassBasicBlock
loader/vqa_resnet.py:26
ClassBottleneck
loader/vqa_resnet.py:58
ClassCAMWrapper
util/feature_operation.py:60
ClassCocoImages
Dataset for MSCOCO images located in a folder on the filesystem
loader/vqa_data_loader.py:198
ClassComposite
Dataset that is a composite of several Dataset objects. Useful for combining splits of a dataset.
loader/vqa_data_loader.py:231
ClassEltwise
loader/caffe_model.py:46
ClassFeatureClassifier
util/feature_decoder.py:14
ClassSemanticFeatureClassifier
util/feature_decoder.py:39
ClassVQANet
Re-implementation of ``Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering'' [0] [0]: https://arxiv.org/abs/1704.0316
loader/vqa_model.py:42