| /dports/misc/py-gluoncv/gluon-cv-0.9.0/docs/tutorials/datasets/ |
| H A D | kinetics400.py | 93 train_dataset = Kinetics400(train=True, transform=transform_train) variable
108 train_dataset = Kinetics400(train=True, new_length=5, transform=transform_train) variable
150 train_dataset = Kinetics400(train=True, new_length=12, num_segments=3, transform=transform_train) variable
177 train_dataset = Kinetics400(root=os.path.expanduser('~/.mxnet/datasets/kinetics400/tiny_train_video… variable
192 train_dataset = Kinetics400(root=os.path.expanduser('~/.mxnet/datasets/kinetics400/tiny_train_video… variable
208 train_dataset = Kinetics400(root=os.path.expanduser('~/.mxnet/datasets/kinetics400/tiny_train_video… variable
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| H A D | hmdb51.py | 80 train_dataset = HMDB51(train=True, transform=transform_train) variable
101 train_dataset = HMDB51(train=True, new_length=5, transform=transform_train) variable
143 train_dataset = HMDB51(train=True, new_length=12, num_segments=3, transform=transform_train) variable
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| H A D | ucf101.py | 77 train_dataset = UCF101(train=True, transform=transform_train) variable
98 train_dataset = UCF101(train=True, new_length=5, transform=transform_train) variable
140 train_dataset = UCF101(train=True, new_length=12, num_segments=3, transform=transform_train) variable
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| H A D | pascal_voc.py | 68 train_dataset = data.VOCDetection(splits=[(2007, 'trainval'), (2012, 'trainval')]) variable
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| H A D | mscoco.py | 66 train_dataset = data.COCODetection(splits=['instances_train2017']) variable
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| H A D | ade20k.py | 58 train_dataset = ADE20KSegmentation(split='train') variable
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| H A D | cityscapes.py | 44 train_dataset = CitySegmentation(split='train') variable
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| /dports/misc/py-gluonnlp/gluon-nlp-0.10.0/scripts/sentiment_analysis/ |
| H A D | sentiment_analysis_cnn.py | 72 vocab, max_len, output_size, train_dataset, train_data_lengths \ variable
75 vocab, max_len, output_size, train_dataset, train_data_lengths, \ variable
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| H A D | finetune_lm.py | 165 train_dataset, test_dataset = [nlp.data.IMDB(root='data/imdb', segment=segment) variable
167 train_dataset, valid_dataset = nlp.data.train_valid_split(train_dataset, args.valid_ratio) variable
180 train_dataset, train_data_lengths = preprocess_dataset(train_dataset) variable
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| H A D | process_data.py | 83 def _build_vocab(data_name, train_dataset, test_dataset, dev_dataset, model_name): argument
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| /dports/misc/py-gluoncv/gluon-cv-0.9.0/scripts/detection/ssd/ |
| H A D | train_ssd.py | 121 def get_dataloader(net, train_dataset, val_dataset, data_shape, batch_size, num_workers, ctx): argument
172 def get_dali_dataloader(net, train_dataset, val_dataset, data_shape, global_batch_size, num_workers… argument
407 train_dataset, val_dataset, eval_metric = get_dali_dataset(args.dataset, devices, args) variable
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| /dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/auto/estimators/ssd/ |
| H A D | utils.py | 60 def _get_dataloader(net, train_dataset, val_dataset, data_shape, batch_size, num_workers): argument
115 def _get_dali_dataloader(net, train_dataset, val_dataset, data_shape, global_batch_size, argument
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| /dports/misc/py-gluoncv/gluon-cv-0.9.0/scripts/detection/center_net/ |
| H A D | train_center_net.py | 113 def get_dataloader(net, train_dataset, val_dataset, data_shape, batch_size, num_workers, ctx): argument
295 train_dataset, val_dataset, eval_metric = get_dataset(args.dataset, args) variable
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| /dports/misc/py-gluoncv/gluon-cv-0.9.0/scripts/detection/yolo/ |
| H A D | train_yolo3.py | 129 def get_dataloader(net, train_dataset, val_dataset, data_shape, batch_size, num_workers, args): argument
369 train_dataset, val_dataset, eval_metric = get_dataset(args.dataset, args) variable
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| H A D | train_yolo.py | 129 def get_dataloader(net, train_dataset, val_dataset, data_shape, batch_size, num_workers, args): argument
369 train_dataset, val_dataset, eval_metric = get_dataset(args.dataset, args) variable
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| /dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/auto/estimators/yolo/ |
| H A D | utils.py | 48 def _get_dataloader(net, train_dataset, val_dataset, data_shape, batch_size, num_workers, args): argument
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/example/neural_collaborative_filtering/ |
| H A D | model_optimizer.py | 61 train_dataset = NCFTrainData((args.path + args.dataset + '/train-ratings.csv'), nb_neg=4) variable
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| /dports/misc/py-gluoncv/gluon-cv-0.9.0/docs/tutorials/pose/ |
| H A D | dive_deep_simple_pose.py | 33 train_dataset = mscoco.keypoints.COCOKeyPoints('~/.mxnet/datasets/coco', variable
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/neural_collaborative_filtering/ |
| H A D | model_optimizer.py | 61 train_dataset = NCFTrainData((args.path + args.dataset + '/train-ratings.csv'), nb_neg=4) variable
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| /dports/misc/py-gluoncv/gluon-cv-0.9.0/scripts/detection/faster_rcnn/ |
| H A D | train_faster_rcnn.py | 323 def get_dataloader(net, train_dataset, val_dataset, train_transform, val_transform, batch_size, argument
585 train_dataset, val_dataset, eval_metric = get_dataset(args.dataset, args) variable
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/example/gluon/word_language_model/ |
| H A D | train.py | 97 train_dataset = contrib.data.text.WikiText2(dirname, 'train', seq_len=args.bptt) variable
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/gluon/word_language_model/ |
| H A D | train.py | 97 train_dataset = contrib.data.text.WikiText2(dirname, 'train', seq_len=args.bptt) variable
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| /dports/misc/py-gluoncv/gluon-cv-0.9.0/docs/tutorials/action_recognition/ |
| H A D | dive_deep_i3d_kinetics400.py | 103 train_dataset = Kinetics400(train=True, new_length=32, new_step=2, transform=transform_train) variable
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| H A D | dive_deep_tsn_ucf101.py | 115 train_dataset = UCF101(train=True, num_segments=3, transform=transform_train) variable
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| /dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/auto/estimators/image_classification/ |
| H A D | utils.py | 77 def get_data_loader(data_dir, batch_size, num_workers, input_size, crop_ratio, train_dataset=None, … argument
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