praeclarumjj3
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Add documentation
Browse files- README.md +63 -0
- config.json +408 -0
- preprocessor_config.json +1939 -0
README.md
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@@ -14,3 +14,66 @@ widget:
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- src: https://praeclarumjj3.github.io/files/coco.jpeg
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example_title: Person
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---
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- src: https://praeclarumjj3.github.io/files/coco.jpeg
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example_title: Person
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---
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# OneFormer
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OneFormer model trained on the ADE20k dataset (large-sized version, Swin backbone). It was introduced in the paper [OneFormer: One Transformer to Rule Universal Image Segmentation](https://arxiv.org/abs/2211.06220) by Jain et al. and first released in [this repository](https://github.com/SHI-Labs/OneFormer).
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![model image](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/oneformer_teaser.png)
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## Model description
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OneFormer is the first multi-task universal image segmentation framework based on transformers. OneFormer needs to be trained only once with a single universal architecture, a single model, and on a single dataset, to outperform existing frameworks across semantic, instance, and panoptic segmentation tasks. OneFormer uses a task token to condition the model on the task in focus, making the architecture task-guided for training, and task-dynamic for inference, all with a single model.
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![model image](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/oneformer_architecture.png)
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## Intended uses & limitations
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You can use this particular checkpoint for semantic, instance and panoptic segmentation. See the [model hub](https://huggingface.co/models?search=oneformer) to look for other fine-tuned versions on a different dataset.
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### How to use
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Here is how to use this model:
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```python
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from transformers import OneFormerFeatureExtractor, OneFormerForUniversalSegmentation
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from PIL import Image
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import requests
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url = "https://huggingface.co/datasets/shi-labs/oneformer_demo/blob/main/ade20k.jpeg"
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image = Image.open(requests.get(url, stream=True).raw)
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# Loading a single model for all three tasks
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feature_extractor = OneFormerFeatureExtractor.from_pretrained("shi-labs/oneformer_ade20k_swin_large")
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model = OneFormerForUniversalSegmentation.from_pretrained("shi-labs/oneformer_ade20k_swin_large")
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# Semantic Segmentation
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semantic_inputs = feature_extractor(images=image, ["semantic"] return_tensors="pt")
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semantic_outputs = model(**semantic_inputs)
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# pass through feature_extractor for postprocessing
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predicted_semantic_map = feature_extractor.post_process_semantic_segmentation(outputs, target_sizes=[image.size[::-1]])[0]
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# Instance Segmentation
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instance_inputs = feature_extractor(images=image, ["instance"] return_tensors="pt")
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instance_outputs = model(**instance_inputs)
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# pass through feature_extractor for postprocessing
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predicted_instance_map = feature_extractor.post_process_instance_segmentation(outputs, target_sizes=[image.size[::-1]])[0]["segmentation"]
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# Panoptic Segmentation
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panoptic_inputs = feature_extractor(images=image, ["panoptic"] return_tensors="pt")
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panoptic_outputs = model(**panoptic_inputs)
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# pass through feature_extractor for postprocessing
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predicted_semantic_map = feature_extractor.post_process_panoptic_segmentation(outputs, target_sizes=[image.size[::-1]])[0]["segmentation"]
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```
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For more examples, please refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/oneformer).
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### Citation
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```bibtex
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@article{jain2022oneformer,
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title={{OneFormer: One Transformer to Rule Universal Image Segmentation}},
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author={Jitesh Jain and Jiachen Li and MangTik Chiu and Ali Hassani and Nikita Orlov and Humphrey Shi},
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journal={arXiv},
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year={2022}
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}
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```
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config.json
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{
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"architectures": [
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"OneFormerForUniversalSegmentation"
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],
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"backbone_config": {
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2
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],
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"drop_path_rate": 0.3,
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"embed_dim": 192,
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"encoder_stride": 32,
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"feature_channels": [
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192,
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384,
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768,
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1536
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],
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"image_size": 384,
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"mlp_ratio": 4.0,
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"num_channels": 3,
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"num_heads": [
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6,
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12,
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24,
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48
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],
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"patch_norm": true,
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"patch_size": 4,
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"qkv_bias": true,
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"strides": [
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4,
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8,
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16,
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32
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],
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"use_absolute_embeddings": false,
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"window_size": 12
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},
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"decoder_config": {
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"common_stride": 4,
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"conv_dim": 256,
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"decoder_layers": 10,
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"dim_feedforward": 2048,
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"dropout": 0.1,
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"encoder_feedforward_dim": 1024,
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"encoder_layers": 6,
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"enforce_input_proj": false,
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"hidden_dim": 256,
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"mask_dim": 256,
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"norm": "GN",
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"num_heads": 8,
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"pre_norm": false,
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"query_dec_layers": 2,
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"use_task_norm": true
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},
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"general_config": {
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"backbone_type": "swin",
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"class_weight": 2.0,
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"contrastive_temperature": 0.07,
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"contrastive_weight": 0.5,
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"deep_supervision": true,
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"dice_weight": 5.0,
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"ignore_value": 255,
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"importance_sample_ratio": 0.75,
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"init_std": 0.02,
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"init_xavier_std": 1.0,
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"is_train": false,
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"layer_norm_eps": 1e-05,
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"mask_weight": 5.0,
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"no_object_weight": 0.1,
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"num_classes": 150,
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"num_queries": 250,
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"output_auxiliary_logits": true,
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"oversample_ratio": 3.0,
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"train_num_points": 12544,
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"use_auxiliary_loss": true
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},
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"hidden_size": 256,
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"id2label": {
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"0": "wall",
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"1": "building",
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"2": "sky",
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"3": "floor",
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"4": "tree",
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"5": "ceiling",
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"6": "road, route",
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"7": "bed",
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"8": "window ",
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"9": "grass",
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"10": "cabinet",
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"11": "sidewalk, pavement",
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"12": "person",
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"13": "earth, ground",
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"14": "door",
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"15": "table",
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"16": "mountain, mount",
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"17": "plant",
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"18": "curtain",
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"19": "chair",
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"20": "car",
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"21": "water",
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"22": "painting, picture",
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"23": "sofa",
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"24": "shelf",
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"25": "house",
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"26": "sea",
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"27": "mirror",
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"28": "rug",
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"29": "field",
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"30": "armchair",
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"31": "seat",
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"32": "fence",
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"33": "desk",
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"34": "rock, stone",
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"35": "wardrobe, closet, press",
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"36": "lamp",
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"37": "tub",
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"38": "rail",
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"39": "cushion",
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"40": "base, pedestal, stand",
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"41": "box",
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"42": "column, pillar",
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"43": "signboard, sign",
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"44": "chest of drawers, chest, bureau, dresser",
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"45": "counter",
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"46": "sand",
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"47": "sink",
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"48": "skyscraper",
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"49": "fireplace",
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136 |
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"50": "refrigerator, icebox",
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137 |
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"51": "grandstand, covered stand",
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138 |
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"52": "path",
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139 |
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"53": "stairs",
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140 |
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"54": "runway",
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141 |
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"55": "case, display case, showcase, vitrine",
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142 |
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"56": "pool table, billiard table, snooker table",
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143 |
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"57": "pillow",
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144 |
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"58": "screen door, screen",
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145 |
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"59": "stairway, staircase",
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146 |
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"60": "river",
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147 |
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"61": "bridge, span",
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148 |
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"62": "bookcase",
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149 |
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"63": "blind, screen",
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150 |
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"64": "coffee table",
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151 |
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"65": "toilet, can, commode, crapper, pot, potty, stool, throne",
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152 |
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"66": "flower",
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153 |
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"67": "book",
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154 |
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"68": "hill",
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155 |
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"69": "bench",
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156 |
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"70": "countertop",
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157 |
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"71": "stove",
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158 |
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"72": "palm, palm tree",
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159 |
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"73": "kitchen island",
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160 |
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"74": "computer",
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161 |
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"75": "swivel chair",
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162 |
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"76": "boat",
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163 |
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"77": "bar",
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164 |
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"78": "arcade machine",
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165 |
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"79": "hovel, hut, hutch, shack, shanty",
|
166 |
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"80": "bus",
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167 |
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"81": "towel",
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168 |
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"82": "light",
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169 |
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"83": "truck",
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170 |
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"84": "tower",
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171 |
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"85": "chandelier",
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172 |
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"86": "awning, sunshade, sunblind",
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173 |
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"87": "street lamp",
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174 |
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"88": "booth",
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175 |
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"89": "tv",
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176 |
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"90": "plane",
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177 |
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"91": "dirt track",
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178 |
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"92": "clothes",
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179 |
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"93": "pole",
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180 |
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"94": "land, ground, soil",
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181 |
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"95": "bannister, banister, balustrade, balusters, handrail",
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182 |
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"96": "escalator, moving staircase, moving stairway",
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183 |
+
"97": "ottoman, pouf, pouffe, puff, hassock",
|
184 |
+
"98": "bottle",
|
185 |
+
"99": "buffet, counter, sideboard",
|
186 |
+
"100": "poster, posting, placard, notice, bill, card",
|
187 |
+
"101": "stage",
|
188 |
+
"102": "van",
|
189 |
+
"103": "ship",
|
190 |
+
"104": "fountain",
|
191 |
+
"105": "conveyer belt, conveyor belt, conveyer, conveyor, transporter",
|
192 |
+
"106": "canopy",
|
193 |
+
"107": "washer, automatic washer, washing machine",
|
194 |
+
"108": "plaything, toy",
|
195 |
+
"109": "pool",
|
196 |
+
"110": "stool",
|
197 |
+
"111": "barrel, cask",
|
198 |
+
"112": "basket, handbasket",
|
199 |
+
"113": "falls",
|
200 |
+
"114": "tent",
|
201 |
+
"115": "bag",
|
202 |
+
"116": "minibike, motorbike",
|
203 |
+
"117": "cradle",
|
204 |
+
"118": "oven",
|
205 |
+
"119": "ball",
|
206 |
+
"120": "food, solid food",
|
207 |
+
"121": "step, stair",
|
208 |
+
"122": "tank, storage tank",
|
209 |
+
"123": "trade name",
|
210 |
+
"124": "microwave",
|
211 |
+
"125": "pot",
|
212 |
+
"126": "animal",
|
213 |
+
"127": "bicycle",
|
214 |
+
"128": "lake",
|
215 |
+
"129": "dishwasher",
|
216 |
+
"130": "screen",
|
217 |
+
"131": "blanket, cover",
|
218 |
+
"132": "sculpture",
|
219 |
+
"133": "hood, exhaust hood",
|
220 |
+
"134": "sconce",
|
221 |
+
"135": "vase",
|
222 |
+
"136": "traffic light",
|
223 |
+
"137": "tray",
|
224 |
+
"138": "trash can",
|
225 |
+
"139": "fan",
|
226 |
+
"140": "pier",
|
227 |
+
"141": "crt screen",
|
228 |
+
"142": "plate",
|
229 |
+
"143": "monitor",
|
230 |
+
"144": "bulletin board",
|
231 |
+
"145": "shower",
|
232 |
+
"146": "radiator",
|
233 |
+
"147": "glass, drinking glass",
|
234 |
+
"148": "clock",
|
235 |
+
"149": "flag"
|
236 |
+
},
|
237 |
+
"init_std": 0.02,
|
238 |
+
"init_xavier_std": 1.0,
|
239 |
+
"label2id": {
|
240 |
+
"animal": 126,
|
241 |
+
"arcade machine": 78,
|
242 |
+
"armchair": 30,
|
243 |
+
"awning, sunshade, sunblind": 86,
|
244 |
+
"bag": 115,
|
245 |
+
"ball": 119,
|
246 |
+
"bannister, banister, balustrade, balusters, handrail": 95,
|
247 |
+
"bar": 77,
|
248 |
+
"barrel, cask": 111,
|
249 |
+
"base, pedestal, stand": 40,
|
250 |
+
"basket, handbasket": 112,
|
251 |
+
"bed": 7,
|
252 |
+
"bench": 69,
|
253 |
+
"bicycle": 127,
|
254 |
+
"blanket, cover": 131,
|
255 |
+
"blind, screen": 63,
|
256 |
+
"boat": 76,
|
257 |
+
"book": 67,
|
258 |
+
"bookcase": 62,
|
259 |
+
"booth": 88,
|
260 |
+
"bottle": 98,
|
261 |
+
"box": 41,
|
262 |
+
"bridge, span": 61,
|
263 |
+
"buffet, counter, sideboard": 99,
|
264 |
+
"building": 1,
|
265 |
+
"bulletin board": 144,
|
266 |
+
"bus": 80,
|
267 |
+
"cabinet": 10,
|
268 |
+
"canopy": 106,
|
269 |
+
"car": 20,
|
270 |
+
"case, display case, showcase, vitrine": 55,
|
271 |
+
"ceiling": 5,
|
272 |
+
"chair": 19,
|
273 |
+
"chandelier": 85,
|
274 |
+
"chest of drawers, chest, bureau, dresser": 44,
|
275 |
+
"clock": 148,
|
276 |
+
"clothes": 92,
|
277 |
+
"coffee table": 64,
|
278 |
+
"column, pillar": 42,
|
279 |
+
"computer": 74,
|
280 |
+
"conveyer belt, conveyor belt, conveyer, conveyor, transporter": 105,
|
281 |
+
"counter": 45,
|
282 |
+
"countertop": 70,
|
283 |
+
"cradle": 117,
|
284 |
+
"crt screen": 141,
|
285 |
+
"curtain": 18,
|
286 |
+
"cushion": 39,
|
287 |
+
"desk": 33,
|
288 |
+
"dirt track": 91,
|
289 |
+
"dishwasher": 129,
|
290 |
+
"door": 14,
|
291 |
+
"earth, ground": 13,
|
292 |
+
"escalator, moving staircase, moving stairway": 96,
|
293 |
+
"falls": 113,
|
294 |
+
"fan": 139,
|
295 |
+
"fence": 32,
|
296 |
+
"field": 29,
|
297 |
+
"fireplace": 49,
|
298 |
+
"flag": 149,
|
299 |
+
"floor": 3,
|
300 |
+
"flower": 66,
|
301 |
+
"food, solid food": 120,
|
302 |
+
"fountain": 104,
|
303 |
+
"glass, drinking glass": 147,
|
304 |
+
"grandstand, covered stand": 51,
|
305 |
+
"grass": 9,
|
306 |
+
"hill": 68,
|
307 |
+
"hood, exhaust hood": 133,
|
308 |
+
"house": 25,
|
309 |
+
"hovel, hut, hutch, shack, shanty": 79,
|
310 |
+
"kitchen island": 73,
|
311 |
+
"lake": 128,
|
312 |
+
"lamp": 36,
|
313 |
+
"land, ground, soil": 94,
|
314 |
+
"light": 82,
|
315 |
+
"microwave": 124,
|
316 |
+
"minibike, motorbike": 116,
|
317 |
+
"mirror": 27,
|
318 |
+
"monitor": 143,
|
319 |
+
"mountain, mount": 16,
|
320 |
+
"ottoman, pouf, pouffe, puff, hassock": 97,
|
321 |
+
"oven": 118,
|
322 |
+
"painting, picture": 22,
|
323 |
+
"palm, palm tree": 72,
|
324 |
+
"path": 52,
|
325 |
+
"person": 12,
|
326 |
+
"pier": 140,
|
327 |
+
"pillow": 57,
|
328 |
+
"plane": 90,
|
329 |
+
"plant": 17,
|
330 |
+
"plate": 142,
|
331 |
+
"plaything, toy": 108,
|
332 |
+
"pole": 93,
|
333 |
+
"pool": 109,
|
334 |
+
"pool table, billiard table, snooker table": 56,
|
335 |
+
"poster, posting, placard, notice, bill, card": 100,
|
336 |
+
"pot": 125,
|
337 |
+
"radiator": 146,
|
338 |
+
"rail": 38,
|
339 |
+
"refrigerator, icebox": 50,
|
340 |
+
"river": 60,
|
341 |
+
"road, route": 6,
|
342 |
+
"rock, stone": 34,
|
343 |
+
"rug": 28,
|
344 |
+
"runway": 54,
|
345 |
+
"sand": 46,
|
346 |
+
"sconce": 134,
|
347 |
+
"screen": 130,
|
348 |
+
"screen door, screen": 58,
|
349 |
+
"sculpture": 132,
|
350 |
+
"sea": 26,
|
351 |
+
"seat": 31,
|
352 |
+
"shelf": 24,
|
353 |
+
"ship": 103,
|
354 |
+
"shower": 145,
|
355 |
+
"sidewalk, pavement": 11,
|
356 |
+
"signboard, sign": 43,
|
357 |
+
"sink": 47,
|
358 |
+
"sky": 2,
|
359 |
+
"skyscraper": 48,
|
360 |
+
"sofa": 23,
|
361 |
+
"stage": 101,
|
362 |
+
"stairs": 53,
|
363 |
+
"stairway, staircase": 59,
|
364 |
+
"step, stair": 121,
|
365 |
+
"stool": 110,
|
366 |
+
"stove": 71,
|
367 |
+
"street lamp": 87,
|
368 |
+
"swivel chair": 75,
|
369 |
+
"table": 15,
|
370 |
+
"tank, storage tank": 122,
|
371 |
+
"tent": 114,
|
372 |
+
"toilet, can, commode, crapper, pot, potty, stool, throne": 65,
|
373 |
+
"towel": 81,
|
374 |
+
"tower": 84,
|
375 |
+
"trade name": 123,
|
376 |
+
"traffic light": 136,
|
377 |
+
"trash can": 138,
|
378 |
+
"tray": 137,
|
379 |
+
"tree": 4,
|
380 |
+
"truck": 83,
|
381 |
+
"tub": 37,
|
382 |
+
"tv": 89,
|
383 |
+
"van": 102,
|
384 |
+
"vase": 135,
|
385 |
+
"wall": 0,
|
386 |
+
"wardrobe, closet, press": 35,
|
387 |
+
"washer, automatic washer, washing machine": 107,
|
388 |
+
"water": 21,
|
389 |
+
"window ": 8
|
390 |
+
},
|
391 |
+
"model_type": "oneformer",
|
392 |
+
"num_attention_heads": 8,
|
393 |
+
"num_hidden_layers": 10,
|
394 |
+
"output_attentions": true,
|
395 |
+
"output_hidden_states": true,
|
396 |
+
"text_encoder_config": {
|
397 |
+
"max_seq_len": 77,
|
398 |
+
"task_seq_len": 77,
|
399 |
+
"text_encoder_context_length": 77,
|
400 |
+
"text_encoder_n_ctx": 16,
|
401 |
+
"text_encoder_num_layers": 6,
|
402 |
+
"text_encoder_proj_layers": 2,
|
403 |
+
"text_encoder_vocab_size": 49408,
|
404 |
+
"text_encoder_width": 256
|
405 |
+
},
|
406 |
+
"torch_dtype": "float32",
|
407 |
+
"transformers_version": "4.25.0.dev0"
|
408 |
+
}
|
preprocessor_config.json
ADDED
@@ -0,0 +1,1939 @@
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1 |
+
{
|
2 |
+
"_max_size": 2560,
|
3 |
+
"class_info": [
|
4 |
+
{
|
5 |
+
"color": [
|
6 |
+
120,
|
7 |
+
120,
|
8 |
+
120
|
9 |
+
],
|
10 |
+
"id": 0,
|
11 |
+
"isthing": 0,
|
12 |
+
"name": "wall"
|
13 |
+
},
|
14 |
+
{
|
15 |
+
"color": [
|
16 |
+
180,
|
17 |
+
120,
|
18 |
+
120
|
19 |
+
],
|
20 |
+
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|
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{
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25 |
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28 |
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29 |
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|
31 |
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32 |
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33 |
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},
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34 |
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{
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35 |
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36 |
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37 |
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38 |
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39 |
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41 |
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43 |
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},
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{
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3
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},
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54 |
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{
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55 |
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57 |
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58 |
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59 |
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61 |
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},
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{
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65 |
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67 |
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68 |
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69 |
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],
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71 |
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{
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77 |
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5,
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78 |
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79 |
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80 |
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81 |
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82 |
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},
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87 |
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88 |
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89 |
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91 |
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92 |
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93 |
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},
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94 |
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{
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95 |
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97 |
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98 |
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],
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101 |
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103 |
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},
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104 |
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{
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105 |
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106 |
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107 |
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108 |
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111 |
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115 |
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116 |
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117 |
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118 |
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123 |
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},
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124 |
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{
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125 |
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126 |
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127 |
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128 |
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129 |
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130 |
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131 |
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132 |
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133 |
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},
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134 |
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{
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135 |
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136 |
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137 |
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138 |
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139 |
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140 |
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141 |
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142 |
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143 |
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},
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144 |
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{
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145 |
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146 |
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147 |
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148 |
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51
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149 |
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],
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151 |
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152 |
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153 |
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},
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154 |
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{
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155 |
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156 |
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157 |
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158 |
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159 |
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161 |
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162 |
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163 |
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},
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164 |
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{
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165 |
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"color": [
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166 |
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167 |
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255,
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168 |
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140
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169 |
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],
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170 |
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171 |
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172 |
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173 |
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},
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174 |
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{
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175 |
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176 |
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177 |
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255,
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178 |
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4
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179 |
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181 |
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182 |
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183 |
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},
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184 |
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{
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185 |
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186 |
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187 |
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51,
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188 |
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189 |
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190 |
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191 |
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192 |
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193 |
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194 |
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{
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195 |
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196 |
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197 |
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198 |
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201 |
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203 |
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204 |
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{
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205 |
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206 |
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207 |
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208 |
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209 |
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210 |
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211 |
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212 |
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213 |
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214 |
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{
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215 |
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216 |
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217 |
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218 |
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219 |
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221 |
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222 |
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223 |
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225 |
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226 |
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227 |
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228 |
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229 |
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230 |
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231 |
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232 |
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233 |
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234 |
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{
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235 |
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236 |
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237 |
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238 |
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239 |
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240 |
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241 |
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242 |
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243 |
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},
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244 |
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{
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245 |
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246 |
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247 |
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248 |
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71
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249 |
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250 |
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251 |
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252 |
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253 |
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},
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254 |
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{
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255 |
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256 |
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255,
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257 |
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258 |
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224
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259 |
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260 |
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261 |
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262 |
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263 |
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},
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264 |
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{
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265 |
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266 |
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267 |
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7,
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268 |
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230
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269 |
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270 |
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271 |
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272 |
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273 |
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274 |
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{
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275 |
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276 |
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277 |
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220,
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278 |
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220
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279 |
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280 |
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281 |
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282 |
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283 |
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},
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284 |
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{
|
285 |
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286 |
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255,
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287 |
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9,
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288 |
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92
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289 |
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],
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290 |
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291 |
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292 |
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293 |
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294 |
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{
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295 |
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296 |
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112,
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297 |
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9,
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298 |
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255
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299 |
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],
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300 |
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301 |
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302 |
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303 |
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},
|
304 |
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{
|
305 |
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306 |
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8,
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307 |
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255,
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308 |
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214
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309 |
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],
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310 |
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311 |
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312 |
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313 |
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},
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314 |
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{
|
315 |
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316 |
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7,
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317 |
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255,
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318 |
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224
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319 |
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],
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320 |
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321 |
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322 |
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323 |
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},
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324 |
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{
|
325 |
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326 |
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255,
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327 |
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184,
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328 |
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6
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329 |
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],
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330 |
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331 |
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332 |
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333 |
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},
|
334 |
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{
|
335 |
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336 |
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10,
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337 |
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255,
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338 |
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71
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339 |
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],
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340 |
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341 |
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342 |
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343 |
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},
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344 |
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{
|
345 |
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346 |
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255,
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347 |
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41,
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348 |
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10
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349 |
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],
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350 |
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351 |
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352 |
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353 |
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354 |
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{
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355 |
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356 |
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7,
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357 |
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255,
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358 |
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255
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359 |
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],
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360 |
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361 |
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362 |
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363 |
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|
364 |
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{
|
365 |
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366 |
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224,
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367 |
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255,
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368 |
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8
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369 |
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],
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370 |
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371 |
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372 |
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373 |
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},
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374 |
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{
|
375 |
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376 |
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102,
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377 |
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8,
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378 |
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255
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379 |
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],
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380 |
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381 |
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382 |
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|
383 |
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},
|
384 |
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{
|
385 |
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|
386 |
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255,
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387 |
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61,
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388 |
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6
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389 |
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],
|
390 |
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391 |
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|
392 |
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|
393 |
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},
|
394 |
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{
|
395 |
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|
396 |
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255,
|
397 |
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194,
|
398 |
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7
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399 |
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],
|
400 |
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401 |
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|
402 |
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403 |
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},
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404 |
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{
|
405 |
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|
406 |
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255,
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407 |
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122,
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408 |
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8
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409 |
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],
|
410 |
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|
411 |
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412 |
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|
413 |
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},
|
414 |
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{
|
415 |
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416 |
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0,
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417 |
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255,
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418 |
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20
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419 |
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420 |
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421 |
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|
422 |
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423 |
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},
|
424 |
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{
|
425 |
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|
426 |
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255,
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427 |
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8,
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428 |
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41
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429 |
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],
|
430 |
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431 |
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432 |
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|
433 |
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|
434 |
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{
|
435 |
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436 |
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255,
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437 |
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5,
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438 |
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153
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439 |
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],
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440 |
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441 |
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442 |
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|
443 |
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|
444 |
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{
|
445 |
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446 |
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6,
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447 |
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51,
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448 |
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255
|
449 |
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],
|
450 |
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|
451 |
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|
452 |
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|
453 |
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},
|
454 |
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{
|
455 |
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456 |
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235,
|
457 |
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12,
|
458 |
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255
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459 |
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|
460 |
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|
461 |
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|
462 |
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|
463 |
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|
464 |
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{
|
465 |
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|
466 |
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160,
|
467 |
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150,
|
468 |
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20
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469 |
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470 |
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471 |
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472 |
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|
473 |
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|
474 |
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{
|
475 |
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476 |
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0,
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477 |
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163,
|
478 |
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255
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479 |
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],
|
480 |
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|
481 |
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|
482 |
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|
483 |
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},
|
484 |
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{
|
485 |
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486 |
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140,
|
487 |
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140,
|
488 |
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140
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489 |
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],
|
490 |
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|
491 |
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|
492 |
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|
493 |
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|
494 |
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{
|
495 |
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|
496 |
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250,
|
497 |
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10,
|
498 |
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15
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499 |
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],
|
500 |
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|
501 |
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|
502 |
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|
503 |
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},
|
504 |
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{
|
505 |
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506 |
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20,
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507 |
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255,
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508 |
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0
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509 |
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],
|
510 |
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|
511 |
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|
512 |
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|
513 |
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},
|
514 |
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{
|
515 |
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|
516 |
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31,
|
517 |
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255,
|
518 |
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0
|
519 |
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],
|
520 |
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|
521 |
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|
522 |
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|
523 |
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},
|
524 |
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{
|
525 |
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|
526 |
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255,
|
527 |
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31,
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528 |
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0
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529 |
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|
530 |
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531 |
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532 |
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533 |
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|
534 |
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{
|
535 |
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|
536 |
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255,
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537 |
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224,
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538 |
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0
|
539 |
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],
|
540 |
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|
541 |
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|
542 |
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|
543 |
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},
|
544 |
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{
|
545 |
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|
546 |
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153,
|
547 |
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255,
|
548 |
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0
|
549 |
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],
|
550 |
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|
551 |
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|
552 |
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|
553 |
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},
|
554 |
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{
|
555 |
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|
556 |
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0,
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557 |
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0,
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558 |
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255
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559 |
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],
|
560 |
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|
561 |
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|
562 |
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|
563 |
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},
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564 |
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{
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565 |
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|
567 |
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568 |
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0
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569 |
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],
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570 |
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|
571 |
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|
572 |
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"name": "pool table, billiard table, snooker table"
|
573 |
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},
|
574 |
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{
|
575 |
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576 |
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0,
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577 |
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578 |
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255
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579 |
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],
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580 |
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|
581 |
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582 |
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|
583 |
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},
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584 |
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{
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585 |
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586 |
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0,
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587 |
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588 |
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255
|
589 |
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],
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590 |
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|
591 |
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592 |
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"name": "screen door, screen"
|
593 |
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},
|
594 |
+
{
|
595 |
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"color": [
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596 |
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31,
|
597 |
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0,
|
598 |
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255
|
599 |
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],
|
600 |
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"id": 59,
|
601 |
+
"isthing": 0,
|
602 |
+
"name": "stairway, staircase"
|
603 |
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},
|
604 |
+
{
|
605 |
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"color": [
|
606 |
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11,
|
607 |
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200,
|
608 |
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200
|
609 |
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],
|
610 |
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"id": 60,
|
611 |
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612 |
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"name": "river"
|
613 |
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},
|
614 |
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{
|
615 |
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"color": [
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616 |
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255,
|
617 |
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82,
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618 |
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0
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619 |
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],
|
620 |
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"id": 61,
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621 |
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|
622 |
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|
623 |
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},
|
624 |
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{
|
625 |
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"color": [
|
626 |
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0,
|
627 |
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255,
|
628 |
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245
|
629 |
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],
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630 |
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"id": 62,
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631 |
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632 |
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"name": "bookcase"
|
633 |
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},
|
634 |
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{
|
635 |
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"color": [
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636 |
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0,
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637 |
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61,
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638 |
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255
|
639 |
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],
|
640 |
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"id": 63,
|
641 |
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642 |
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|
643 |
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},
|
644 |
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{
|
645 |
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"color": [
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646 |
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0,
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647 |
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648 |
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112
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649 |
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],
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650 |
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651 |
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652 |
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|
653 |
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},
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654 |
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{
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655 |
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"color": [
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656 |
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0,
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657 |
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658 |
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133
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659 |
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],
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660 |
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661 |
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662 |
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"name": "toilet, can, commode, crapper, pot, potty, stool, throne"
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663 |
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},
|
664 |
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{
|
665 |
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"color": [
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666 |
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255,
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667 |
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0,
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668 |
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0
|
669 |
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],
|
670 |
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"id": 66,
|
671 |
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672 |
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|
673 |
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},
|
674 |
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{
|
675 |
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"color": [
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676 |
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255,
|
677 |
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163,
|
678 |
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0
|
679 |
+
],
|
680 |
+
"id": 67,
|
681 |
+
"isthing": 1,
|
682 |
+
"name": "book"
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"color": [
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686 |
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255,
|
687 |
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102,
|
688 |
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0
|
689 |
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],
|
690 |
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"id": 68,
|
691 |
+
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|
692 |
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|
693 |
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},
|
694 |
+
{
|
695 |
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"color": [
|
696 |
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194,
|
697 |
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255,
|
698 |
+
0
|
699 |
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],
|
700 |
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|
701 |
+
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|
702 |
+
"name": "bench"
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"color": [
|
706 |
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0,
|
707 |
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143,
|
708 |
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255
|
709 |
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],
|
710 |
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"id": 70,
|
711 |
+
"isthing": 1,
|
712 |
+
"name": "countertop"
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"color": [
|
716 |
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51,
|
717 |
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255,
|
718 |
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0
|
719 |
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],
|
720 |
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|
721 |
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|
722 |
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"name": "stove"
|
723 |
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},
|
724 |
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{
|
725 |
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"color": [
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726 |
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0,
|
727 |
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82,
|
728 |
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255
|
729 |
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],
|
730 |
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|
731 |
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|
732 |
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|
733 |
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},
|
734 |
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{
|
735 |
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"color": [
|
736 |
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0,
|
737 |
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255,
|
738 |
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41
|
739 |
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],
|
740 |
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"id": 73,
|
741 |
+
"isthing": 1,
|
742 |
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"name": "kitchen island"
|
743 |
+
},
|
744 |
+
{
|
745 |
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"color": [
|
746 |
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0,
|
747 |
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255,
|
748 |
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173
|
749 |
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],
|
750 |
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"id": 74,
|
751 |
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"isthing": 1,
|
752 |
+
"name": "computer"
|
753 |
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},
|
754 |
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{
|
755 |
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"color": [
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756 |
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10,
|
757 |
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0,
|
758 |
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255
|
759 |
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],
|
760 |
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"id": 75,
|
761 |
+
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|
762 |
+
"name": "swivel chair"
|
763 |
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},
|
764 |
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{
|
765 |
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"color": [
|
766 |
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173,
|
767 |
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255,
|
768 |
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0
|
769 |
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],
|
770 |
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|
771 |
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|
772 |
+
"name": "boat"
|
773 |
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},
|
774 |
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{
|
775 |
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"color": [
|
776 |
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0,
|
777 |
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255,
|
778 |
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153
|
779 |
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],
|
780 |
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|
781 |
+
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|
782 |
+
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|
783 |
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},
|
784 |
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{
|
785 |
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"color": [
|
786 |
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255,
|
787 |
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92,
|
788 |
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0
|
789 |
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],
|
790 |
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|
791 |
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|
792 |
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|
793 |
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},
|
794 |
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{
|
795 |
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"color": [
|
796 |
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255,
|
797 |
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0,
|
798 |
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255
|
799 |
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],
|
800 |
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|
801 |
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|
802 |
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803 |
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},
|
804 |
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{
|
805 |
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806 |
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255,
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807 |
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0,
|
808 |
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245
|
809 |
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],
|
810 |
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|
811 |
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812 |
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|
813 |
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},
|
814 |
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{
|
815 |
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|
816 |
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255,
|
817 |
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0,
|
818 |
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102
|
819 |
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],
|
820 |
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|
821 |
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|
822 |
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|
823 |
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},
|
824 |
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{
|
825 |
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"color": [
|
826 |
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255,
|
827 |
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173,
|
828 |
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0
|
829 |
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],
|
830 |
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|
831 |
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|
832 |
+
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|
833 |
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},
|
834 |
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{
|
835 |
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"color": [
|
836 |
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255,
|
837 |
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0,
|
838 |
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20
|
839 |
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],
|
840 |
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"id": 83,
|
841 |
+
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|
842 |
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"name": "truck"
|
843 |
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},
|
844 |
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{
|
845 |
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"color": [
|
846 |
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255,
|
847 |
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184,
|
848 |
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184
|
849 |
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],
|
850 |
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"id": 84,
|
851 |
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|
852 |
+
"name": "tower"
|
853 |
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},
|
854 |
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{
|
855 |
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"color": [
|
856 |
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0,
|
857 |
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31,
|
858 |
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255
|
859 |
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],
|
860 |
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|
861 |
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|
862 |
+
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|
863 |
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},
|
864 |
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{
|
865 |
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|
866 |
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0,
|
867 |
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255,
|
868 |
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61
|
869 |
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],
|
870 |
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"id": 86,
|
871 |
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|
872 |
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|
873 |
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},
|
874 |
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{
|
875 |
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"color": [
|
876 |
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0,
|
877 |
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71,
|
878 |
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255
|
879 |
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],
|
880 |
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|
881 |
+
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|
882 |
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|
883 |
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},
|
884 |
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{
|
885 |
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"color": [
|
886 |
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255,
|
887 |
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0,
|
888 |
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204
|
889 |
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],
|
890 |
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|
891 |
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|
892 |
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"name": "booth"
|
893 |
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},
|
894 |
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{
|
895 |
+
"color": [
|
896 |
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0,
|
897 |
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255,
|
898 |
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194
|
899 |
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],
|
900 |
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|
901 |
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|
902 |
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"name": "tv"
|
903 |
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},
|
904 |
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{
|
905 |
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|
906 |
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0,
|
907 |
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255,
|
908 |
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82
|
909 |
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],
|
910 |
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"id": 90,
|
911 |
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"isthing": 1,
|
912 |
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|
913 |
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},
|
914 |
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{
|
915 |
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"color": [
|
916 |
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0,
|
917 |
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10,
|
918 |
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255
|
919 |
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],
|
920 |
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"id": 91,
|
921 |
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|
922 |
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"name": "dirt track"
|
923 |
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},
|
924 |
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{
|
925 |
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"color": [
|
926 |
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0,
|
927 |
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112,
|
928 |
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255
|
929 |
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],
|
930 |
+
"id": 92,
|
931 |
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|
932 |
+
"name": "clothes"
|
933 |
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},
|
934 |
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{
|
935 |
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"color": [
|
936 |
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51,
|
937 |
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0,
|
938 |
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255
|
939 |
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],
|
940 |
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"id": 93,
|
941 |
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|
942 |
+
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|
943 |
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},
|
944 |
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{
|
945 |
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"color": [
|
946 |
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0,
|
947 |
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194,
|
948 |
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255
|
949 |
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],
|
950 |
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"id": 94,
|
951 |
+
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|
952 |
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|
953 |
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},
|
954 |
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{
|
955 |
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"color": [
|
956 |
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0,
|
957 |
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122,
|
958 |
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255
|
959 |
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],
|
960 |
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"id": 95,
|
961 |
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"isthing": 1,
|
962 |
+
"name": "bannister, banister, balustrade, balusters, handrail"
|
963 |
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},
|
964 |
+
{
|
965 |
+
"color": [
|
966 |
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0,
|
967 |
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255,
|
968 |
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163
|
969 |
+
],
|
970 |
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"id": 96,
|
971 |
+
"isthing": 0,
|
972 |
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"name": "escalator, moving staircase, moving stairway"
|
973 |
+
},
|
974 |
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{
|
975 |
+
"color": [
|
976 |
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255,
|
977 |
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153,
|
978 |
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0
|
979 |
+
],
|
980 |
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"id": 97,
|
981 |
+
"isthing": 1,
|
982 |
+
"name": "ottoman, pouf, pouffe, puff, hassock"
|
983 |
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},
|
984 |
+
{
|
985 |
+
"color": [
|
986 |
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0,
|
987 |
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255,
|
988 |
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10
|
989 |
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],
|
990 |
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"id": 98,
|
991 |
+
"isthing": 1,
|
992 |
+
"name": "bottle"
|
993 |
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},
|
994 |
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{
|
995 |
+
"color": [
|
996 |
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255,
|
997 |
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112,
|
998 |
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0
|
999 |
+
],
|
1000 |
+
"id": 99,
|
1001 |
+
"isthing": 0,
|
1002 |
+
"name": "buffet, counter, sideboard"
|
1003 |
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},
|
1004 |
+
{
|
1005 |
+
"color": [
|
1006 |
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143,
|
1007 |
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255,
|
1008 |
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0
|
1009 |
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],
|
1010 |
+
"id": 100,
|
1011 |
+
"isthing": 0,
|
1012 |
+
"name": "poster, posting, placard, notice, bill, card"
|
1013 |
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},
|
1014 |
+
{
|
1015 |
+
"color": [
|
1016 |
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82,
|
1017 |
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0,
|
1018 |
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255
|
1019 |
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],
|
1020 |
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"id": 101,
|
1021 |
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|
1022 |
+
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|
1023 |
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},
|
1024 |
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{
|
1025 |
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|
1026 |
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163,
|
1027 |
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255,
|
1028 |
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0
|
1029 |
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],
|
1030 |
+
"id": 102,
|
1031 |
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"isthing": 1,
|
1032 |
+
"name": "van"
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
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|
1036 |
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255,
|
1037 |
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235,
|
1038 |
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0
|
1039 |
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],
|
1040 |
+
"id": 103,
|
1041 |
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"isthing": 1,
|
1042 |
+
"name": "ship"
|
1043 |
+
},
|
1044 |
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{
|
1045 |
+
"color": [
|
1046 |
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8,
|
1047 |
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184,
|
1048 |
+
170
|
1049 |
+
],
|
1050 |
+
"id": 104,
|
1051 |
+
"isthing": 1,
|
1052 |
+
"name": "fountain"
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"color": [
|
1056 |
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133,
|
1057 |
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0,
|
1058 |
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255
|
1059 |
+
],
|
1060 |
+
"id": 105,
|
1061 |
+
"isthing": 0,
|
1062 |
+
"name": "conveyer belt, conveyor belt, conveyer, conveyor, transporter"
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"color": [
|
1066 |
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0,
|
1067 |
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255,
|
1068 |
+
92
|
1069 |
+
],
|
1070 |
+
"id": 106,
|
1071 |
+
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|
1072 |
+
"name": "canopy"
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"color": [
|
1076 |
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184,
|
1077 |
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0,
|
1078 |
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255
|
1079 |
+
],
|
1080 |
+
"id": 107,
|
1081 |
+
"isthing": 1,
|
1082 |
+
"name": "washer, automatic washer, washing machine"
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"color": [
|
1086 |
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255,
|
1087 |
+
0,
|
1088 |
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1578 |
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"149": "flag",
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1579 |
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1580 |
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1581 |
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1582 |
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1583 |
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1584 |
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1585 |
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1586 |
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1587 |
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1588 |
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1592 |
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1593 |
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1594 |
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1600 |
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1602 |
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1603 |
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1604 |
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1610 |
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1611 |
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1612 |
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1613 |
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1614 |
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1615 |
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1616 |
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1617 |
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1618 |
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1619 |
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1620 |
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1621 |
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1622 |
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1623 |
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1624 |
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1625 |
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1627 |
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1628 |
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1629 |
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1630 |
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1631 |
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1632 |
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1633 |
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1634 |
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1635 |
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1636 |
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1637 |
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1638 |
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1639 |
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1640 |
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1641 |
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1642 |
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1646 |
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1649 |
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1650 |
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1793 |
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1800 |
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1802 |
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1803 |
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1804 |
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1805 |
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1809 |
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1814 |
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1815 |
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1816 |
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1817 |
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1820 |
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1821 |
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1926 |
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},
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1927 |
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},
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1938 |
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1939 |
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}
|