Index

A

AconC (class in src.yolov5.utils.activations) add_atom() (src.refinement.RefinementGenerator method) add_attribute_atom() (src.refinement.RefinementGenerator method) add_relation_atom() (src.refinement.RefinementGenerator method) all_consts() (src.fol.logic.Atom method) (src.fol.logic.Clause method) (src.fol.logic.Const method) (src.fol.logic.FuncTerm method) (src.fol.logic.Term method) (src.fol.logic.Var method) all_funcs() (src.fol.logic.Atom method) (src.fol.logic.Clause method) (src.fol.logic.Const method) (src.fol.logic.FuncTerm method) (src.fol.logic.Term method) (src.fol.logic.Var method) all_vars() (src.fol.logic.Atom method) (src.fol.logic.Clause method) (src.fol.logic.Const method) (src.fol.logic.FuncTerm method) (src.fol.logic.Term method) (src.fol.logic.Var method)

all_vars_by_dtype() (src.fol.logic.Clause method) ap_per_class() (in module src.yolov5.utils.metrics) apply_classifier() (in module src.yolov5.utils.general) apply_func() (src.refinement.RefinementGenerator method) args (src.fol.logic.FuncTerm attribute) args() (src.fol.exp_parser.ExpTree method) arity (src.fol.logic.NeuralPredicate attribute) (src.fol.logic.Predicate attribute) Atom (class in src.fol.logic) atom() (src.fol.exp_parser.ExpTree method) atoms_to_text() (src.nsfr.NSFReasoner method) attempt_download() (in module src.yolov5.utils.google_utils) attempt_load() (in module src.yolov5.models.experimental) augment_hsv() (in module src.yolov5.utils.datasets) autopad() (in module src.yolov5.models.common) AutoShape (class in src.yolov5.models.common) autoshape() (src.yolov5.models.common.AutoShape method) (src.yolov5.models.yolo.Model method) autosplit() (in module src.yolov5.utils.datasets)

B

backward() (src.yolov5.utils.activations.MemoryEfficientMish.F static method) batch_size (src.yolov5.utils.datasets.InfiniteDataLoader attribute) bbox_iou() (in module src.yolov5.utils.general) BCEBlurWithLogitsLoss (class in src.yolov5.utils.loss) beam_search() (src.clause_generator.ClauseGenerator method) beam_search_clause() (src.clause_generator.ClauseGenerator method) body (src.fol.logic.Clause attribute) body() (src.fol.exp_parser.ExpTree method) body_to_tensor() (src.tensor_encoder.TensorEncoder method) Bottleneck (class in src.yolov5.models.common)

BottleneckCSP (class in src.yolov5.models.common) box_candidates() (in module src.yolov5.utils.datasets) box_iou() (in module src.yolov5.utils.general) build_clause_infer_module() (in module src.logic_utils) build_fact_index_dic() (src.tensor_encoder.TensorEncoder method) build_grid() (in module src.slot_attention.model) build_head_unifier_dic() (src.tensor_encoder.TensorEncoder method) build_I_c() (src.tensor_encoder.TensorEncoder method) build_infer_module() (in module src.logic_utils) build_targets() (src.yolov5.utils.loss.ComputeLoss method) butter_lowpass_filtfilt() (in module src.yolov5.utils.plots)

C

C3 (class in src.yolov5.models.common) C3TR (class in src.yolov5.models.common) cache_labels() (src.yolov5.utils.datasets.LoadImagesAndLabels method) call() (src.facts_converter.FactsConverter method) check_anchor_order() (in module src.yolov5.utils.autoanchor) check_anchors() (in module src.yolov5.utils.autoanchor) check_and_upload_dataset() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) check_dataset() (in module src.yolov5.utils.general) check_file() (in module src.yolov5.utils.general) check_git_status() (in module src.yolov5.utils.general) check_img_size() (in module src.yolov5.utils.general) check_imshow() (in module src.yolov5.utils.general) check_online() (in module src.yolov5.utils.general) check_python() (in module src.yolov5.utils.general) check_requirements() (in module src.yolov5.utils.general) check_wandb_config_file() (in module src.yolov5.utils.wandb_logging.wandb_utils) check_wandb_resume() (in module src.yolov5.utils.wandb_logging.wandb_utils) classes (src.yolov5.models.common.AutoShape attribute) (src.yolov5.models.common.NMS attribute) Classify (class in src.yolov5.models.common) Clause (class in src.fol.logic) clause() (src.fol.exp_parser.ExpTree method) clause_eval() (src.nsfr.NSFReasoner method) ClauseFunction (class in src.infer) ClauseGenerator (class in src.clause_generator) ClauseInferModule (class in src.infer) clean_str() (in module src.yolov5.utils.general) CLEVR (class in src.slot_attention.data) CLEVRHans (class in src.data_clevr) CLEVRHans_POSITIVE (class in src.data_clevr)

clip_coords() (in module src.yolov5.utils.general) coco80_to_coco91_class() (in module src.yolov5.utils.general) collate_fn() (src.yolov5.utils.datasets.LoadImagesAndLabels static method) collate_fn4() (src.yolov5.utils.datasets.LoadImagesAndLabels static method) Colors (class in src.yolov5.utils.plots) colorstr() (in module src.yolov5.utils.general) compute_acc() (in module src.train_cnn) (in module src.train_cnn_clevr) (in module src.train_sa_mlp_clevr) (in module src.train_yolo_mlp) compute_ap() (in module src.yolov5.utils.metrics) ComputeLoss (class in src.yolov5.utils.loss) Concat (class in src.yolov5.models.common) conf (src.yolov5.models.common.AutoShape attribute) (src.yolov5.models.common.NMS attribute) ConfusionMatrix (class in src.yolov5.utils.metrics) Const (class in src.fol.logic) const() (src.fol.exp_parser.ExpTree method) Contract (class in src.yolov5.models.common) Conv (class in src.yolov5.models.common) convert() (src.facts_converter.FactsConverter method) convert_i() (src.facts_converter.FactsConverter method) copy_attr() (in module src.yolov5.utils.torch_utils) count_by_predicate() (src.fol.logic.Clause method) create_dataloader() (in module src.yolov5.utils.datasets) create_dataset_table() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) create_folder() (in module src.yolov5.utils.datasets) crop() (src.yolov5.models.common.Detections method) CrossConv (class in src.yolov5.models.experimental) cutout() (in module src.yolov5.utils.datasets)

D

dataset (src.yolov5.utils.datasets.InfiniteDataLoader attribute) DataType (class in src.fol.language) DataUtils (class in src.fol.data_utils) date_modified() (in module src.yolov5.utils.torch_utils) de_parallel() (in module src.yolov5.utils.torch_utils) denormalize_clevr() (in module src.nsfr_utils) denormalize_kandinsky() (in module src.nsfr_utils) Detect (class in src.yolov5.models.yolo) Detections (class in src.yolov5.models.common) discretise_NSFR() (in module src.train)

display() (src.yolov5.models.common.Detections method) download() (in module src.yolov5.utils.general) download_dataset_artifact() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) download_model_artifact() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) drop_last (src.yolov5.utils.datasets.InfiniteDataLoader attribute) dtype (src.fol.logic.Const attribute) (src.fol.logic.Term attribute) dtypes (src.fol.logic.NeuralPredicate attribute) (src.fol.logic.Predicate attribute) DWConv() (in module src.yolov5.models.common)

E

emojis() (in module src.yolov5.utils.general) encode() (src.tensor_encoder.TensorEncoder method) end_epoch() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) Ensemble (class in src.yolov5.models.experimental) eval_clauses() (src.clause_generator.ClauseGenerator method)

EvalInferModule (class in src.eval_clause_infer) exif_size() (in module src.yolov5.utils.datasets) Expand (class in src.yolov5.models.common) ExpTree (class in src.fol.exp_parser) extract_boxes() (in module src.yolov5.utils.datasets)

F

facts_to_index() (src.tensor_encoder.TensorEncoder method) FactsConverter (class in src.facts_converter) file_size() (in module src.yolov5.utils.general) filter_by_datatype() (src.facts_converter.FactsConverter method) find_modules() (in module src.yolov5.utils.torch_utils) find_subs_term() (in module src.fol.logic_ops) finish_run() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) fitness() (in module src.yolov5.utils.metrics) flatten() (in module src.fol.exp_parser) (in module src.fol.logic) flatten_recursive() (in module src.yolov5.utils.datasets) FocalLoss (class in src.yolov5.utils.loss) Focus (class in src.yolov5.models.common) forward() (src.eval_clause_infer.EvalInferModule method) (src.facts_converter.FactsConverter method) (src.infer.ClauseFunction method) (src.infer.ClauseInferModule method) (src.infer.InferModule method) (src.neural_utils.LogisticRegression method) (src.neural_utils.MLP method) (src.nsfr.NSFReasoner method) (src.percept.SlotAttentionPerceptionModule method) (src.percept.YOLOPerceptionModule method) (src.percept.YOLOPreprocess method) (src.slot_attention.model.MLP method) (src.slot_attention.model.SlotAttention method) (src.slot_attention.model.SlotAttention_classifier method) (src.slot_attention.model.SlotAttention_encoder method) (src.slot_attention.model.SlotAttention_model method) (src.slot_attention.model.SoftPositionEmbed method) (src.valuation.SlotAttentionValuationModule method) (src.valuation.YOLOValuationModule method) (src.valuation_func.SlotAttentionColorValuationFunction method) (src.valuation_func.SlotAttentionFrontValuationFunction method) (src.valuation_func.SlotAttentionInValuationFunction method) (src.valuation_func.SlotAttentionLeftSideValuationFunction method) (src.valuation_func.SlotAttentionMaterialValuationFunction method) (src.valuation_func.SlotAttentionRightSideValuationFunction method) (src.valuation_func.SlotAttentionShapeValuationFunction method) (src.valuation_func.SlotAttentionSizeValuationFunction method) (src.valuation_func.YOLOClosebyValuationFunction method) (src.valuation_func.YOLOColorValuationFunction method) (src.valuation_func.YOLOInValuationFunction method) (src.valuation_func.YOLOOnlineValuationFunction method) (src.valuation_func.YOLOShapeValuationFunction method) (src.yolov5.models.common.AutoShape method) (src.yolov5.models.common.Bottleneck method) (src.yolov5.models.common.BottleneckCSP method) (src.yolov5.models.common.C3 method) (src.yolov5.models.common.Classify method) (src.yolov5.models.common.Concat method) (src.yolov5.models.common.Contract method) (src.yolov5.models.common.Conv method) (src.yolov5.models.common.Expand method) (src.yolov5.models.common.Focus method) (src.yolov5.models.common.NMS method) (src.yolov5.models.common.SPP method) (src.yolov5.models.common.TransformerBlock method) (src.yolov5.models.common.TransformerLayer method) (src.yolov5.models.experimental.CrossConv method) (src.yolov5.models.experimental.Ensemble method) (src.yolov5.models.experimental.GhostBottleneck method) (src.yolov5.models.experimental.GhostConv method) (src.yolov5.models.experimental.MixConv2d method) (src.yolov5.models.experimental.Sum method) (src.yolov5.models.yolo.Detect method) (src.yolov5.models.yolo.Model method) (src.yolov5.utils.activations.AconC method) (src.yolov5.utils.activations.FReLU method) (src.yolov5.utils.activations.Hardswish static method) (src.yolov5.utils.activations.MemoryEfficientMish method) (src.yolov5.utils.activations.MemoryEfficientMish.F static method) (src.yolov5.utils.activations.MetaAconC method) (src.yolov5.utils.activations.Mish static method) (src.yolov5.utils.activations.SiLU static method) (src.yolov5.utils.loss.BCEBlurWithLogitsLoss method) (src.yolov5.utils.loss.FocalLoss method) (src.yolov5.utils.loss.QFocalLoss method)

forward_augment() (src.yolov5.models.yolo.Model method) forward_once() (src.yolov5.models.yolo.Model method) FReLU (class in src.yolov5.utils.activations) func_symbol (src.fol.logic.FuncTerm attribute) FuncSymbol (class in src.fol.logic) FuncTerm (class in src.fol.logic) functor() (src.fol.exp_parser.ExpTree method) fuse() (src.yolov5.models.yolo.Model method) fuse_conv_and_bn() (in module src.yolov5.utils.torch_utils) fuseforward() (src.yolov5.models.common.Conv method)

G

gdrive_download() (in module src.yolov5.utils.google_utils) generate() (src.clause_generator.ClauseGenerator method) generate_atoms() (in module src.logic_utils) generate_bk() (in module src.logic_utils) generate_captions() (in module src.nsfr_utils) generate_new_variable() (src.refinement.RefinementGenerator method) generate_subs() (src.tensor_encoder.TensorEncoder method) generate_term_combinations() (src.refinement.RefinementGenerator method) get_args() (in module src.predict_clevr) (in module src.predict_kandinsky) (in module src.train) (in module src.train_cnn) (in module src.train_cnn_clevr) (in module src.train_sa_mlp_clevr) (in module src.train_yolo_mlp) get_bk() (src.fol.data_utils.DataUtils method) get_by_dtype() (src.fol.language.Language method) get_by_dtype_name() (src.fol.language.Language method) get_clauses() (src.fol.data_utils.DataUtils method) (src.nsfr.NSFReasoner method) get_clevr_loader() (in module src.nsfr_utils) get_clevr_pos_loader() (in module src.nsfr_utils) get_const_by_name() (src.fol.language.Language method) get_data_loader() (in module src.nsfr_utils) get_data_pos_loader() (in module src.nsfr_utils) get_disagree_index() (in module src.fol.logic_ops) get_disagreements() (in module src.fol.logic_ops) get_fact_index() (src.tensor_encoder.TensorEncoder method) get_hash() (in module src.yolov5.utils.datasets) get_index_by_predname() (in module src.logic_utils) get_ith_symbol() (src.fol.logic.FuncTerm method) get_ith_term() (src.fol.logic.Const method) (src.fol.logic.FuncTerm method) (src.fol.logic.Var method)

get_kandinsky_loader() (in module src.nsfr_utils) get_kandinsky_pos_loader() (in module src.nsfr_utils) get_lang() (in module src.logic_utils) get_latest_run() (in module src.yolov5.utils.general) get_loader() (in module src.slot_attention.data) get_max_obj_id() (src.refinement.RefinementGenerator method) get_max_subs_num() (src.tensor_encoder.TensorEncoder method) get_mode_declarations() (in module src.mode_declaration) get_mode_declarations_clevr() (in module src.mode_declaration) get_mode_declarations_kandinsky() (in module src.mode_declaration) get_nsfr_model() (in module src.nsfr_utils) get_nsfr_model_train() (in module src.nsfr_utils) get_params() (src.facts_converter.FactsConverter method) (src.infer.InferModule method) (src.nsfr.NSFReasoner method) get_pred_by_name() (src.fol.language.Language method) get_prob() (in module src.nsfr_utils) get_prob_by_prednames() (in module src.nsfr_utils) get_run_info() (in module src.yolov5.utils.wandb_logging.wandb_utils) get_searched_clauses() (in module src.logic_utils) get_terms_by_dtype() (src.fol.logic.Atom method) get_token() (in module src.yolov5.utils.google_utils) get_top_atoms() (src.nsfr.NSFReasoner method) get_valuation_text() (src.nsfr.NSFReasoner method) get_var_and_dtype() (src.fol.language.Language method) GhostBottleneck (class in src.yolov5.models.experimental) GhostConv (class in src.yolov5.models.experimental) git_describe() (in module src.yolov5.utils.torch_utils) ground_to_tensor() (src.valuation.SlotAttentionValuationModule method) (src.valuation.YOLOValuationModule method) gsutil_getsize() (in module src.yolov5.utils.google_utils)

H

Hardswish (class in src.yolov5.utils.activations) head (src.fol.logic.Clause attribute) head() (src.fol.logic.Const method) (src.fol.logic.FuncTerm method) (src.fol.logic.Var method)

hex2rgb() (src.yolov5.utils.plots.Colors static method) hist2d() (in module src.yolov5.utils.plots) hist_equalize() (in module src.yolov5.utils.datasets) hungarian_loss() (in module src.slot_attention.utils) hungarian_loss_per_sample() (in module src.slot_attention.utils) hungarian_matching() (in module src.slot_attention.utils)

I

images_folder (src.slot_attention.data.CLEVR property) img2label_paths() (in module src.yolov5.utils.datasets) img_db() (src.slot_attention.data.CLEVR method) increment_path() (in module src.yolov5.utils.general) InferModule (class in src.infer) InfiniteDataLoader (class in src.yolov5.utils.datasets) info() (src.yolov5.models.yolo.Model method) init_attr_encodings() (src.valuation.YOLOValuationModule method) init_identity_weights() (in module src.infer) (src.eval_clause_infer.EvalInferModule method) init_seeds() (in module src.yolov5.utils.general) init_torch_seeds() (in module src.yolov5.utils.torch_utils) init_valuation() (src.facts_converter.FactsConverter method) init_valuation_functions() (src.valuation.SlotAttentionValuationModule method) (src.valuation.YOLOValuationModule method)

initialize_weights() (in module src.yolov5.utils.torch_utils) intersect_dicts() (in module src.yolov5.utils.torch_utils) iou (src.yolov5.models.common.AutoShape attribute) (src.yolov5.models.common.NMS attribute) is_colab() (in module src.yolov5.utils.general) is_docker() (in module src.yolov5.utils.general) is_duplicate() (src.fol.logic.Clause method) is_entailed() (in module src.fol.logic_ops) is_in_beam() (src.clause_generator.ClauseGenerator method) is_parallel() (in module src.yolov5.utils.torch_utils) is_singleton() (in module src.fol.logic_ops) is_tautology() (src.fol.logic.Clause method) is_var() (src.fol.logic.Const method) (src.fol.logic.FuncTerm method) (src.fol.logic.Term method) (src.fol.logic.Var method)

K

KANDINSKY (class in src.data_kandinsky)

KANDINSKY_POSITIVE (class in src.data_kandinsky) kmean_anchors() (in module src.yolov5.utils.autoanchor)

L

labels_to_class_weights() (in module src.yolov5.utils.general) labels_to_image_weights() (in module src.yolov5.utils.general) Language (class in src.fol.language) letterbox() (in module src.data_kandinsky) (in module src.yolov5.utils.datasets) load_atoms() (src.fol.data_utils.DataUtils method) load_classifier() (in module src.yolov5.utils.torch_utils) load_clauses() (src.fol.data_utils.DataUtils method) load_consts() (src.fol.data_utils.DataUtils method) load_image() (in module src.yolov5.utils.datasets) (src.slot_attention.data.CLEVR method) load_image_yolo() (in module src.data_kandinsky) load_images_and_labels() (in module src.data_clevr) (in module src.data_kandinsky) load_images_and_labels_positive() (in module src.data_clevr) (in module src.data_kandinsky)

load_language() (src.fol.data_utils.DataUtils method) load_model() (src.percept.SlotAttentionPerceptionModule method) (src.percept.YOLOPerceptionModule method) load_mosaic() (in module src.yolov5.utils.datasets) load_mosaic9() (in module src.yolov5.utils.datasets) load_neural_preds() (src.fol.data_utils.DataUtils method) load_preds() (src.fol.data_utils.DataUtils method) LoadImages (class in src.yolov5.utils.datasets) LoadImagesAndLabels (class in src.yolov5.utils.datasets) LoadStreams (class in src.yolov5.utils.datasets) LoadWebcam (class in src.yolov5.utils.datasets) log() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) log_dataset_artifact() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) log_model() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) log_training_progress() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) LogisticRegression (class in src.neural_utils) logsumexp() (in module src.torch_utils)

M

main() (in module src.predict_clevr) (in module src.predict_kandinsky) (in module src.train) (in module src.train_cnn) (in module src.train_cnn_clevr) (in module src.train_sa_mlp_clevr) (in module src.train_yolo_mlp) make_divisible() (in module src.yolov5.utils.general) map_val_table_path() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) matrix() (src.yolov5.utils.metrics.ConfusionMatrix method) max_depth() (src.fol.logic.Atom method) (src.fol.logic.Clause method) (src.fol.logic.Const method) (src.fol.logic.FuncTerm method) (src.fol.logic.Term method) (src.fol.logic.Var method) max_det (src.yolov5.models.common.AutoShape attribute) (src.yolov5.models.common.NMS attribute) MemoryEfficientMish (class in src.yolov5.utils.activations) MemoryEfficientMish.F (class in src.yolov5.utils.activations) MetaAconC (class in src.yolov5.utils.activations) min_depth() (src.fol.logic.Atom method) (src.fol.logic.Clause method) (src.fol.logic.Const method) (src.fol.logic.FuncTerm method) (src.fol.logic.Term method) (src.fol.logic.Var method) minibatch() (src.optimizer.WeightOptimizer method) Mish (class in src.yolov5.utils.activations) MixConv2d (class in src.yolov5.models.experimental) MLP (class in src.neural_utils) (class in src.slot_attention.model) ModeDeclaration (class in src.mode_declaration) Model (class in src.yolov5.models.yolo) model_info() (in module src.yolov5.utils.torch_utils) ModelEMA (class in src.yolov5.utils.torch_utils) ModeTerm (class in src.mode_declaration) module src src.clause_generator src.data_clevr src.data_kandinsky src.eval_clause_infer src.facts_converter src.fol src.fol.data_utils src.fol.exp_parser src.fol.language src.fol.logic src.fol.logic_ops src.infer src.logic_utils src.mode_declaration src.neural_utils src.nsfr src.nsfr_utils src.optimizer src.percept src.predict_clevr src.predict_kandinsky src.refinement src.slot_attention src.slot_attention.data src.slot_attention.model src.slot_attention.utils src.tensor_encoder src.torch_utils src.train src.train_cnn src.train_cnn_clevr src.train_sa_mlp_clevr src.train_yolo_mlp src.valuation src.valuation_func src.yolov5 src.yolov5.models src.yolov5.models.common src.yolov5.models.experimental src.yolov5.models.export src.yolov5.models.yolo src.yolov5.utils src.yolov5.utils.activations src.yolov5.utils.autoanchor src.yolov5.utils.aws src.yolov5.utils.aws.resume src.yolov5.utils.datasets src.yolov5.utils.general src.yolov5.utils.google_utils src.yolov5.utils.loss src.yolov5.utils.metrics src.yolov5.utils.plots src.yolov5.utils.torch_utils src.yolov5.utils.wandb_logging src.yolov5.utils.wandb_logging.wandb_utils

N

name (src.fol.logic.Const attribute) (src.fol.logic.FuncSymbol attribute) (src.fol.logic.NeuralPredicate attribute) (src.fol.logic.Predicate attribute) (src.fol.logic.Term attribute) (src.fol.logic.Var attribute) neg() (src.fol.logic.Atom method)

NeuralPredicate (class in src.fol.logic) new_video() (src.yolov5.utils.datasets.LoadImages method) NMS (class in src.yolov5.models.common) nms() (src.yolov5.models.yolo.Model method) non_max_suppression() (in module src.yolov5.utils.general) NSFReasoner (class in src.nsfr) num_workers (src.yolov5.utils.datasets.InfiniteDataLoader attribute)

O

object_to_fv() (src.slot_attention.data.CLEVR method) occur_check() (in module src.fol.logic_ops) one_cycle() (in module src.yolov5.utils.general)

onnx_dynamic (src.yolov5.models.yolo.Detect attribute) optimize_weights() (src.optimizer.WeightOptimizer method) outer() (in module src.slot_attention.utils) output_to_target() (in module src.yolov5.utils.plots)

P

pad_by_true() (src.tensor_encoder.TensorEncoder method) pad_result() (src.percept.YOLOPerceptionModule method) pandas() (src.yolov5.models.common.Detections method) parse_clause() (src.fol.data_utils.DataUtils method) parse_clauses() (in module src.logic_utils) parse_const() (src.fol.data_utils.DataUtils method) parse_funcs() (src.fol.data_utils.DataUtils method) parse_model() (in module src.yolov5.models.yolo) parse_neural_pred() (src.fol.data_utils.DataUtils method) parse_pred() (src.fol.data_utils.DataUtils method) pin_memory (src.yolov5.utils.datasets.InfiniteDataLoader attribute) plot() (src.yolov5.utils.metrics.ConfusionMatrix method) plot_evolution() (in module src.yolov5.utils.plots) plot_images() (in module src.yolov5.utils.plots) plot_labels() (in module src.yolov5.utils.plots) plot_lr_scheduler() (in module src.yolov5.utils.plots) plot_mc_curve() (in module src.yolov5.utils.metrics) plot_one_box() (in module src.yolov5.utils.plots) plot_one_box_PIL() (in module src.yolov5.utils.plots) plot_pr_curve() (in module src.yolov5.utils.metrics) plot_results() (in module src.yolov5.utils.plots) plot_results_overlay() (in module src.yolov5.utils.plots) plot_study_txt() (in module src.yolov5.utils.plots) plot_targets_txt() (in module src.yolov5.utils.plots) plot_test_txt() (in module src.yolov5.utils.plots) plot_wh_methods() (in module src.yolov5.utils.plots)

pre_order() (src.fol.logic.FuncTerm method) pred (src.fol.logic.Atom attribute) Predicate (class in src.fol.logic) predicate() (src.fol.exp_parser.ExpTree method) predict() (in module src.predict_clevr) (in module src.predict_kandinsky) (in module src.train) (in module src.train_cnn) (in module src.train_cnn_clevr) (in module src.train_sa_mlp_clevr) (in module src.train_yolo_mlp) (src.nsfr.NSFReasoner method) predict_multi() (src.nsfr.NSFReasoner method) prefetch_factor (src.yolov5.utils.datasets.InfiniteDataLoader attribute) prepare_scenes() (src.slot_attention.data.CLEVR method) print() (src.yolov5.models.common.Detections method) (src.yolov5.utils.metrics.ConfusionMatrix method) print_mutation() (in module src.yolov5.utils.general) print_program() (src.nsfr.NSFReasoner method) print_valuation() (in module src.torch_utils) print_valuation_batch() (src.nsfr.NSFReasoner method) process_batch() (src.yolov5.utils.metrics.ConfusionMatrix method) process_wandb_config_ddp_mode() (in module src.yolov5.utils.wandb_logging.wandb_utils) profile() (in module src.yolov5.utils.torch_utils) profile_idetection() (in module src.yolov5.utils.plots) prune() (in module src.yolov5.utils.torch_utils)

Q

QFocalLoss (class in src.yolov5.utils.loss)

R

r() (src.eval_clause_infer.EvalInferModule method) (src.infer.ClauseInferModule method) (src.infer.InferModule method) r_bk() (src.infer.ClauseInferModule method) (src.infer.InferModule method) random_perspective() (in module src.yolov5.utils.datasets) refine_from_modeb() (src.refinement.RefinementGenerator method) refinement() (src.refinement.RefinementGenerator method) refinement_clause() (src.refinement.RefinementGenerator method)

RefinementGenerator (class in src.refinement) remove_prefix() (in module src.yolov5.utils.wandb_logging.wandb_utils) render() (src.yolov5.models.common.Detections method) replicate() (in module src.yolov5.utils.datasets) resample_segments() (in module src.yolov5.utils.general) run() (in module src.train_cnn) (in module src.train_cnn_clevr) (in module src.train_sa_mlp_clevr) (in module src.train_yolo_mlp)

S

safe_download() (in module src.yolov5.utils.google_utils) sampler (src.yolov5.utils.datasets.InfiniteDataLoader attribute) save() (src.yolov5.models.common.Detections method) save_args() (in module src.slot_attention.utils) save_images_with_captions() (in module src.nsfr_utils) save_one_box() (in module src.yolov5.utils.general) scale_coords() (in module src.yolov5.utils.general) scale_img() (in module src.yolov5.utils.torch_utils) scenes_path (src.slot_attention.data.CLEVR property) segment2box() (in module src.yolov5.utils.general) segments2boxes() (in module src.yolov5.utils.general) select_device() (in module src.yolov5.utils.torch_utils) set_logging() (in module src.yolov5.utils.general) set_optimizer() (src.optimizer.WeightOptimizer method) setup_training() (src.yolov5.utils.wandb_logging.wandb_utils.WandbLogger method) show() (src.yolov5.models.common.Detections method) SiLU (class in src.yolov5.utils.activations) size() (src.fol.logic.Atom method) (src.fol.logic.Clause method) (src.fol.logic.Const method) (src.fol.logic.FuncTerm method) (src.fol.logic.Term method) (src.fol.logic.Var method) SlotAttention (class in src.slot_attention.model) SlotAttention_classifier (class in src.slot_attention.model) SlotAttention_encoder (class in src.slot_attention.model) SlotAttention_model (class in src.slot_attention.model) SlotAttentionColorValuationFunction (class in src.valuation_func) SlotAttentionFrontValuationFunction (class in src.valuation_func) SlotAttentionInValuationFunction (class in src.valuation_func) SlotAttentionLeftSideValuationFunction (class in src.valuation_func) SlotAttentionMaterialValuationFunction (class in src.valuation_func) SlotAttentionPerceptionModule (class in src.percept) SlotAttentionRightSideValuationFunction (class in src.valuation_func) SlotAttentionShapeValuationFunction (class in src.valuation_func) SlotAttentionSizeValuationFunction (class in src.valuation_func) SlotAttentionValuationModule (class in src.valuation) small_chars() (src.fol.exp_parser.ExpTree method) smooth_BCE() (in module src.yolov5.utils.loss) softor() (in module src.torch_utils) SoftPositionEmbed (class in src.slot_attention.model) sparsity() (in module src.yolov5.utils.torch_utils) SPP (class in src.yolov5.models.common) src module src.clause_generator module src.data_clevr module src.data_kandinsky module src.eval_clause_infer module src.facts_converter module src.fol module src.fol.data_utils module src.fol.exp_parser module src.fol.language module src.fol.logic module src.fol.logic_ops module src.infer module src.logic_utils module src.mode_declaration module src.neural_utils module src.nsfr module src.nsfr_utils module src.optimizer module src.percept module

src.predict_clevr module src.predict_kandinsky module src.refinement module src.slot_attention module src.slot_attention.data module src.slot_attention.model module src.slot_attention.utils module src.tensor_encoder module src.torch_utils module src.train module src.train_cnn module src.train_cnn_clevr module src.train_sa_mlp_clevr module src.train_yolo_mlp module src.valuation module src.valuation_func module src.yolov5 module src.yolov5.models module src.yolov5.models.common module src.yolov5.models.experimental module src.yolov5.models.export module src.yolov5.models.yolo module src.yolov5.utils module src.yolov5.utils.activations module src.yolov5.utils.autoanchor module src.yolov5.utils.aws module src.yolov5.utils.aws.resume module src.yolov5.utils.datasets module src.yolov5.utils.general module src.yolov5.utils.google_utils module src.yolov5.utils.loss module src.yolov5.utils.metrics module src.yolov5.utils.plots module src.yolov5.utils.torch_utils module src.yolov5.utils.wandb_logging module src.yolov5.utils.wandb_logging.wandb_utils module stride (src.yolov5.models.yolo.Detect attribute) strip_optimizer() (in module src.yolov5.utils.general) subs() (in module src.fol.logic_ops) (src.fol.logic.Atom method) (src.fol.logic.Clause method) (src.fol.logic.Const method) (src.fol.logic.FuncTerm method) (src.fol.logic.Var method) subs_const() (src.refinement.RefinementGenerator method) subs_list() (in module src.fol.logic_ops) subs_var() (src.refinement.RefinementGenerator method) Sum (class in src.yolov5.models.experimental)

T

t_p() (in module src.fol.logic_ops) t_p_n() (in module src.fol.logic_ops) TensorEncoder (class in src.tensor_encoder) Term (class in src.fol.logic) term() (src.fol.exp_parser.ExpTree method) term_index() (src.fol.language.Language method) term_to_onehot() (src.valuation.SlotAttentionValuationModule method) terms (src.fol.logic.Atom attribute) time_synchronized() (in module src.yolov5.utils.torch_utils) timeout (src.yolov5.utils.datasets.InfiniteDataLoader attribute) to_center() (src.valuation_func.YOLOClosebyValuationFunction method) to_center_x() (src.valuation_func.YOLOOnlineValuationFunction method) to_center_y() (src.valuation_func.YOLOOnlineValuationFunction method) to_list() (src.fol.logic.Const method) (src.fol.logic.FuncTerm method) (src.fol.logic.Var method) to_onehot_batch() (src.valuation.SlotAttentionValuationModule method) to_plot_images_clevr() (in module src.nsfr_utils) to_plot_images_kandinsky() (in module src.nsfr_utils) to_vec() (src.facts_converter.FactsConverter method) tolist() (src.yolov5.models.common.Detections method) torch_distributed_zero_first() (in module src.yolov5.utils.torch_utils) train_nsfr() (in module src.train) training (src.eval_clause_infer.EvalInferModule attribute) (src.facts_converter.FactsConverter attribute) (src.infer.ClauseFunction attribute) (src.infer.ClauseInferModule attribute) (src.infer.InferModule attribute) (src.neural_utils.LogisticRegression attribute) (src.neural_utils.MLP attribute) (src.nsfr.NSFReasoner attribute) (src.percept.SlotAttentionPerceptionModule attribute) (src.percept.YOLOPerceptionModule attribute) (src.percept.YOLOPreprocess attribute) (src.slot_attention.model.MLP attribute) (src.slot_attention.model.SlotAttention attribute) (src.slot_attention.model.SlotAttention_classifier attribute) (src.slot_attention.model.SlotAttention_encoder attribute) (src.slot_attention.model.SlotAttention_model attribute) (src.slot_attention.model.SoftPositionEmbed attribute) (src.valuation.SlotAttentionValuationModule attribute) (src.valuation.YOLOValuationModule attribute) (src.valuation_func.SlotAttentionColorValuationFunction attribute) (src.valuation_func.SlotAttentionFrontValuationFunction attribute) (src.valuation_func.SlotAttentionInValuationFunction attribute) (src.valuation_func.SlotAttentionLeftSideValuationFunction attribute) (src.valuation_func.SlotAttentionMaterialValuationFunction attribute) (src.valuation_func.SlotAttentionRightSideValuationFunction attribute) (src.valuation_func.SlotAttentionShapeValuationFunction attribute) (src.valuation_func.SlotAttentionSizeValuationFunction attribute) (src.valuation_func.YOLOClosebyValuationFunction attribute) (src.valuation_func.YOLOColorValuationFunction attribute) (src.valuation_func.YOLOInValuationFunction attribute) (src.valuation_func.YOLOOnlineValuationFunction attribute) (src.valuation_func.YOLOShapeValuationFunction attribute) (src.yolov5.models.common.AutoShape attribute) (src.yolov5.models.common.Bottleneck attribute) (src.yolov5.models.common.BottleneckCSP attribute) (src.yolov5.models.common.C3 attribute) (src.yolov5.models.common.C3TR attribute) (src.yolov5.models.common.Classify attribute) (src.yolov5.models.common.Concat attribute) (src.yolov5.models.common.Contract attribute) (src.yolov5.models.common.Conv attribute) (src.yolov5.models.common.Expand attribute) (src.yolov5.models.common.Focus attribute) (src.yolov5.models.common.NMS attribute) (src.yolov5.models.common.SPP attribute) (src.yolov5.models.common.TransformerBlock attribute) (src.yolov5.models.common.TransformerLayer attribute) (src.yolov5.models.experimental.CrossConv attribute) (src.yolov5.models.experimental.Ensemble attribute) (src.yolov5.models.experimental.GhostBottleneck attribute) (src.yolov5.models.experimental.GhostConv attribute) (src.yolov5.models.experimental.MixConv2d attribute) (src.yolov5.models.experimental.Sum attribute) (src.yolov5.models.yolo.Detect attribute) (src.yolov5.models.yolo.Model attribute) (src.yolov5.utils.activations.AconC attribute) (src.yolov5.utils.activations.FReLU attribute) (src.yolov5.utils.activations.Hardswish attribute) (src.yolov5.utils.activations.MemoryEfficientMish attribute) (src.yolov5.utils.activations.MetaAconC attribute) (src.yolov5.utils.activations.Mish attribute) (src.yolov5.utils.activations.SiLU attribute) (src.yolov5.utils.loss.BCEBlurWithLogitsLoss attribute) (src.yolov5.utils.loss.FocalLoss attribute) (src.yolov5.utils.loss.QFocalLoss attribute)

TransformerBlock (class in src.yolov5.models.common) TransformerLayer (class in src.yolov5.models.common)

U

unify() (in module src.fol.logic_ops) update() (src.yolov5.utils.datasets.LoadStreams method) (src.yolov5.utils.torch_utils.ModelEMA method)

update_attr() (src.yolov5.utils.torch_utils.ModelEMA method) update_initial_clauses() (in module src.nsfr_utils) update_nsfr_clauses() (in module src.nsfr_utils)

V

valuation_to_attr_string() (in module src.nsfr_utils) valuation_to_rel_string() (in module src.nsfr_utils) valuation_to_string() (in module src.nsfr_utils)

valuations_to_string() (in module src.nsfr_utils) Var (class in src.fol.logic) variable() (src.fol.exp_parser.ExpTree method)

W

WandbLogger (class in src.yolov5.utils.wandb_logging.wandb_utils) weight_sum() (in module src.torch_utils)

WeightOptimizer (class in src.optimizer) wh_iou() (in module src.yolov5.utils.general)

X

xyn2xy() (in module src.yolov5.utils.general) xywh2xyxy() (in module src.yolov5.utils.general)

xywhn2xyxy() (in module src.yolov5.utils.general) xyxy2xywh() (in module src.yolov5.utils.general)

Y

YOLOClosebyValuationFunction (class in src.valuation_func) YOLOColorValuationFunction (class in src.valuation_func) YOLOInValuationFunction (class in src.valuation_func) YOLOOnlineValuationFunction (class in src.valuation_func)

YOLOPerceptionModule (class in src.percept) YOLOPreprocess (class in src.percept) YOLOShapeValuationFunction (class in src.valuation_func) YOLOValuationModule (class in src.valuation)