Index _ | A | B | C | D | E | F | H | I | K | L | M | N | O | P | R | S | T | V | W _ __call__() (pyvisim.features.Lambda method) (pyvisim.features.RootSIFT method) (pyvisim.features.SIFT method) (pyvisim.neural_networks.features.DeepConvFeature method) A array (pyvisim.retrieval.data.Candidate property) B backbone (pyvisim.neural_networks.BCESiameseNetwork property) (pyvisim.neural_networks.ContrastiveSiameseNetwork property) (pyvisim.neural_networks.TripletNeuralNetwork property) BCESiameseNetwork (class in pyvisim.neural_networks) build_store() (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore method) C Candidate (class in pyvisim.retrieval.data) clear_buffer() (pyvisim.retrieval.data.Candidate method) ClipEmbedder (class in pyvisim.neural_networks) ContrastiveSiameseNetwork (class in pyvisim.neural_networks) cosine_similarity() (in module pyvisim.distance) D DeepConvFeature (class in pyvisim.neural_networks.features) deltas (pyvisim.features.RootSIFT property) (pyvisim.features.SIFT property) detect() (pyvisim.features.RootSIFT method) (pyvisim.features.SIFT method) detect_and_extract() (pyvisim.features.RootSIFT method) (pyvisim.features.SIFT method) device (pyvisim.neural_networks.BCESiameseNetwork property) (pyvisim.neural_networks.ContrastiveSiameseNetwork property) (pyvisim.neural_networks.TripletNeuralNetwork property) dim (pyvisim.retrieval.image_store.ExternalSearchIndex property) (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore property) E embed() (pyvisim.classic.FisherVectorEmbedder method) (pyvisim.classic.Pipeline method) (pyvisim.classic.VLADEmbedder method) (pyvisim.neural_networks.BCESiameseNetwork method) (pyvisim.neural_networks.ClipEmbedder method) (pyvisim.neural_networks.ContrastiveSiameseNetwork method) (pyvisim.neural_networks.TripletNeuralNetwork method) embedder (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore property) embedding_dim (pyvisim.neural_networks.ClipEmbedder property) embeddings (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore property) embeddings_of() (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore method) euclidean_distances() (in module pyvisim.distance) ExternalSearchIndex (class in pyvisim.retrieval.image_store) extract() (pyvisim.features.RootSIFT method) (pyvisim.features.SIFT method) extract_batch() (pyvisim.features.Lambda method) (pyvisim.features.RootSIFT method) (pyvisim.features.SIFT method) (pyvisim.neural_networks.features.DeepConvFeature method) F FisherVectorEmbedder (class in pyvisim.classic) forward() (pyvisim.neural_networks.BCESiameseNetwork method) (pyvisim.neural_networks.ContrastiveSiameseNetwork method) (pyvisim.neural_networks.losses.TripletLoss method) (pyvisim.neural_networks.TripletNeuralNetwork method) from_dict() (pyvisim.base.FeatureExtractorBase class method) (pyvisim.classic.FisherVectorEmbedder class method) (pyvisim.classic.Pipeline class method) (pyvisim.classic.VLADEmbedder class method) (pyvisim.features.Lambda class method) (pyvisim.features.RootSIFT class method) (pyvisim.features.SIFT class method) (pyvisim.neural_networks.BCESiameseNetwork class method) (pyvisim.neural_networks.ClipEmbedder class method) (pyvisim.neural_networks.ContrastiveSiameseNetwork class method) (pyvisim.neural_networks.features.DeepConvFeature class method) (pyvisim.neural_networks.TripletNeuralNetwork class method) (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore class method) from_faiss_index() (pyvisim.retrieval.image_store.ExternalSearchIndex class method) H head (pyvisim.neural_networks.BCESiameseNetwork property) (pyvisim.neural_networks.ContrastiveSiameseNetwork property) (pyvisim.neural_networks.TripletNeuralNetwork property) I image_size (pyvisim.neural_networks.ClipEmbedder property) index (pyvisim.retrieval.image_store.ExternalSearchIndex property) (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore property) index_name (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore property) index_params (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore property) InMemoryImageEmbeddingStore (class in pyvisim.retrieval.image_store) is_built (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore property) K k1 (pyvisim.dense.structural.MSSSIM property) (pyvisim.dense.structural.SSIM property) (pyvisim.retrieval.reranking.KReciprocalReranker property) k2 (pyvisim.dense.structural.MSSSIM property) (pyvisim.dense.structural.SSIM property) (pyvisim.retrieval.reranking.KReciprocalReranker property) KReciprocalReranker (class in pyvisim.retrieval.reranking) L Lambda (class in pyvisim.features) lambda_value (pyvisim.retrieval.reranking.KReciprocalReranker property) learn() (pyvisim.classic.FisherVectorEmbedder method) (pyvisim.classic.VLADEmbedder method) list_conv_layers() (pyvisim.neural_networks.features.DeepConvFeature method) load_clustering_model_from_sklearn() (pyvisim.classic.FisherVectorEmbedder method) (pyvisim.classic.VLADEmbedder method) load_from_disk() (pyvisim.base.FeatureExtractorBase class method) (pyvisim.classic.FisherVectorEmbedder class method) (pyvisim.classic.Pipeline class method) (pyvisim.classic.VLADEmbedder class method) (pyvisim.features.Lambda class method) (pyvisim.features.RootSIFT class method) (pyvisim.features.SIFT class method) (pyvisim.neural_networks.BCESiameseNetwork class method) (pyvisim.neural_networks.ClipEmbedder class method) (pyvisim.neural_networks.ContrastiveSiameseNetwork class method) (pyvisim.neural_networks.features.DeepConvFeature class method) (pyvisim.neural_networks.TripletNeuralNetwork class method) (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore class method) M manhattan_distances() (in module pyvisim.distance) module pyvisim.distance pyvisim.eval MSSSIM (class in pyvisim.dense.structural) N n_scales (pyvisim.dense.structural.MSSSIM property) name (pyvisim.retrieval.image_store.ExternalSearchIndex property) normalize (pyvisim.classic.FisherVectorEmbedder property) (pyvisim.classic.Pipeline property) (pyvisim.classic.VLADEmbedder property) (pyvisim.neural_networks.BCESiameseNetwork property) (pyvisim.neural_networks.ClipEmbedder property) (pyvisim.neural_networks.ContrastiveSiameseNetwork property) (pyvisim.neural_networks.TripletNeuralNetwork property) O output_dim (pyvisim.features.Lambda property) (pyvisim.features.RootSIFT property) (pyvisim.features.SIFT property) (pyvisim.neural_networks.features.DeepConvFeature property) OxfordFlowerDataset (class in pyvisim.datasets) P paths (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore property) Pipeline (class in pyvisim.classic) pretrained (pyvisim.neural_networks.ClipEmbedder property) PSNR (class in pyvisim.dense.pixelwise) pyvisim.distance module pyvisim.eval module R rerank() (pyvisim.retrieval.reranking.KReciprocalReranker method) retrieve_top_k_similar() (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore method) RootSIFT (class in pyvisim.features) S save_to_disk() (pyvisim.base.FeatureExtractorBase method) (pyvisim.classic.FisherVectorEmbedder method) (pyvisim.classic.Pipeline method) (pyvisim.classic.VLADEmbedder method) (pyvisim.features.Lambda method) (pyvisim.features.RootSIFT method) (pyvisim.features.SIFT method) (pyvisim.neural_networks.BCESiameseNetwork method) (pyvisim.neural_networks.ClipEmbedder method) (pyvisim.neural_networks.ContrastiveSiameseNetwork method) (pyvisim.neural_networks.features.DeepConvFeature method) (pyvisim.neural_networks.TripletNeuralNetwork method) (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore method) scorer (pyvisim.neural_networks.BCESiameseNetwork property) search() (pyvisim.retrieval.image_store.ExternalSearchIndex method) set_batch_size() (pyvisim.classic.FisherVectorEmbedder method) (pyvisim.classic.Pipeline method) (pyvisim.classic.VLADEmbedder method) (pyvisim.dense.pixelwise.PSNR method) (pyvisim.dense.structural.MSSSIM method) (pyvisim.dense.structural.SSIM method) (pyvisim.neural_networks.BCESiameseNetwork method) (pyvisim.neural_networks.ClipEmbedder method) (pyvisim.neural_networks.ContrastiveSiameseNetwork method) (pyvisim.neural_networks.TripletNeuralNetwork method) SIFT (class in pyvisim.features) sigma (pyvisim.dense.structural.MSSSIM property) (pyvisim.dense.structural.SSIM property) similarity_func (pyvisim.classic.FisherVectorEmbedder property) (pyvisim.classic.Pipeline property) (pyvisim.classic.VLADEmbedder property) (pyvisim.neural_networks.BCESiameseNetwork property) (pyvisim.neural_networks.ClipEmbedder property) (pyvisim.neural_networks.ContrastiveSiameseNetwork property) (pyvisim.neural_networks.TripletNeuralNetwork property) similarity_func_name (pyvisim.classic.FisherVectorEmbedder property) (pyvisim.classic.Pipeline property) (pyvisim.classic.VLADEmbedder property) (pyvisim.neural_networks.BCESiameseNetwork property) (pyvisim.neural_networks.ClipEmbedder property) (pyvisim.neural_networks.ContrastiveSiameseNetwork property) (pyvisim.neural_networks.TripletNeuralNetwork property) similarity_score() (pyvisim.classic.FisherVectorEmbedder method) (pyvisim.classic.Pipeline method) (pyvisim.classic.VLADEmbedder method) (pyvisim.dense.pixelwise.PSNR method) (pyvisim.dense.structural.MSSSIM method) (pyvisim.dense.structural.SSIM method) (pyvisim.neural_networks.BCESiameseNetwork method) (pyvisim.neural_networks.ClipEmbedder method) (pyvisim.neural_networks.ContrastiveSiameseNetwork method) (pyvisim.neural_networks.TripletNeuralNetwork method) space (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore property) SSIM (class in pyvisim.dense.structural) store (pyvisim.retrieval.reranking.KReciprocalReranker property) T to_dict() (pyvisim.base.FeatureExtractorBase method) (pyvisim.classic.FisherVectorEmbedder method) (pyvisim.classic.Pipeline method) (pyvisim.classic.VLADEmbedder method) (pyvisim.features.Lambda method) (pyvisim.features.RootSIFT method) (pyvisim.features.SIFT method) (pyvisim.neural_networks.BCESiameseNetwork method) (pyvisim.neural_networks.ClipEmbedder method) (pyvisim.neural_networks.ContrastiveSiameseNetwork method) (pyvisim.neural_networks.features.DeepConvFeature method) (pyvisim.neural_networks.TripletNeuralNetwork method) (pyvisim.retrieval.image_store.InMemoryImageEmbeddingStore method) top_k_accuracy() (in module pyvisim.eval) top_k_map() (in module pyvisim.eval) TripletLoss (class in pyvisim.neural_networks.losses) TripletNeuralNetwork (class in pyvisim.neural_networks) V variant (pyvisim.neural_networks.ClipEmbedder property) vectors (pyvisim.retrieval.image_store.ExternalSearchIndex property) vectors_at() (pyvisim.retrieval.image_store.ExternalSearchIndex method) VLADEmbedder (class in pyvisim.classic) W weights (pyvisim.dense.structural.MSSSIM property) window_size (pyvisim.dense.structural.MSSSIM property) (pyvisim.dense.structural.SSIM property)