Object Detection faster_rcnn训练日志

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mb5fd86d5f5874e 2020-04-21 11:47:00

文章标签 lua tensorflow 4s python github 文章分类 代码人生

https://github.com/tensorflow/models

https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md

(zhouying2) F:\TensorflowProject\ObjectDetection\models-1.12.0\research>

(zhouying2) F:\TensorflowProject\ObjectDetection\models-1.12.0\research>python object_detection/training_20200414.py --pipeline_config_path=object_detection/data_202004/training/faster_rcnn_resnet101_coco.config --model_dir=object_detection/output_model_20200419 --num_train_steps=80000 --num_eval_steps=200 --alsologtostderr

WARNING:tensorflow:Forced number of epochs for all eval validations to be 1.

WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.

WARNING:tensorflow:Estimator's model_fn (<function create_model_fn.<locals>.model_fn at 0x000001D81766EC80>) includes params argument, but params are not passed to Estimator.

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

WARNING:tensorflow:From N:\Anaconda3\install\envs\zhouying2\lib\site-packages\object_detection-0.1-py3.6.egg\object_detection\predictors\heads\box_head.py:93: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.

Instructions for updating:

keep_dims is deprecated, use keepdims instead

WARNING:tensorflow:From N:\Anaconda3\install\envs\zhouying2\lib\site-packages\object_detection-0.1-py3.6.egg\object_detection\meta_architectures\faster_rcnn_meta_arch.py:2164: get_or_create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.

Instructions for updating:

Please switch to tf.train.get_or_create_global_step

WARNING:tensorflow:From N:\Anaconda3\install\envs\zhouying2\lib\site-packages\object_detection-0.1-py3.6.egg\object_detection\core\losses.py:345: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.

Instructions for updating:

Future major versions of TensorFlow will allow gradients to flow

into the labels input on backprop by default.

See @{tf.nn.softmax_cross_entropy_with_logits_v2}.

N:\Anaconda3\install\envs\zhouying2\lib\site-packages\tensorflow\python\ops\gradients_impl.py:100: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.

"Converting sparse IndexedSlices to a dense Tensor of unknown shape. "

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.86s).

Accumulating evaluation results...

DONE (t=0.10s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.152

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.341

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.109

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.152

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.240

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.178

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.354

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.366

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.267

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.555

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.80s).

Accumulating evaluation results...

DONE (t=0.10s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.442

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.709

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.534

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.416

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.466

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.379

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.654

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.657

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.645

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.663

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.79s).

Accumulating evaluation results...

DONE (t=0.10s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.571

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.834

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.722

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.531

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.579

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.454

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.732

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.732

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.727

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.735

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.11s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.682

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.876

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.839

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.663

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.663

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.508

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.807

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.807

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.802

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.805

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.79s).

Accumulating evaluation results...

DONE (t=0.11s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.639

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.849

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.827

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.602

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.646

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.502

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.792

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.792

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.784

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.792

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.13s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.728

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.904

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.886

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.715

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.721

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.542

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.834

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.834

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.833

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.832

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.13s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.715

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.867

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.863

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.683

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.758

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.541

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.844

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.844

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.833

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.856

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.13s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.777

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.904

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.904

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.760

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.779

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.557

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.878

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.878

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.874

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.876

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.14s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.763

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.901

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.901

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.757

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.765

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.559

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.873

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.873

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.874

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.864

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.15s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.781

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.914

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.914

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.769

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.785

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.568

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.876

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.876

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.870

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.878

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.16s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.758

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.913

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.905

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.753

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.756

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.549

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.856

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.856

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.858

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.849

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.80s).

Accumulating evaluation results...

DONE (t=0.17s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.745

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.904

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.893

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.713

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.762

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.544

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.846

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.846

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.840

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.848

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.16s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.777

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.923

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.921

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.754

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.788

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.578

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.862

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.862

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.858

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.861

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.16s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.795

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.926

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.918

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.777

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.796

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.569

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.879

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.879

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.872

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.881

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.79s).

Accumulating evaluation results...

DONE (t=0.16s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.801

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.940

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.933

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.796

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.782

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.575

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.873

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.873

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.874

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.871

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.16s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.821

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.925

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.925

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.808

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.840

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.588

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.908

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.908

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.906

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.907

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.80s).

Accumulating evaluation results...

DONE (t=0.18s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.793

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.937

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.931

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.772

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.817

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.573

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.872

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.872

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.865

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.884

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=1.85s).

Accumulating evaluation results...

DONE (t=0.41s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.824

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.938

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.933

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.805

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.828

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.594

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.896

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.896

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.890

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.898

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.16s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.821

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.937

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.937

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.805

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.823

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.589

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.899

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.899

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.895

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.898

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.16s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.816

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.932

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.926

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.802

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.823

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.586

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.894

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.894

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.895

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.888

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.93s).

Accumulating evaluation results...

DONE (t=0.25s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.813

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.925

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.918

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.804

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.823

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.600

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.903

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.903

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.899

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.899

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.23s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.789

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.935

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.934

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.775

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.800

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.573

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.865

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.865

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.857

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.881

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.20s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.807

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.929

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.921

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.790

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.809

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.584

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.889

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.889

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.880

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.900

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.76s).

Accumulating evaluation results...

DONE (t=0.20s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.843

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.939

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.938

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.827

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.845

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.610

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.920

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.920

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.910

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.936

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.20s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.826

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.924

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.918

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.804

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.843

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.597

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.912

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.912

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.902

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.927

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.21s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.824

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.931

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.924

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.801

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.856

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.605

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.905

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.905

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.893

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.930

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.79s).

Accumulating evaluation results...

DONE (t=0.21s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.831

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.934

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.927

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.814

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.844

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.597

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.910

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.910

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.907

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.909

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.22s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.824

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.937

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.930

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.806

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.833

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.588

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.896

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.896

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.892

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.902

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.80s).

Accumulating evaluation results...

DONE (t=0.21s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.819

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.934

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.923

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.818

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.811

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.596

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.898

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.898

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.896

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.896

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.80s).

Accumulating evaluation results...

DONE (t=0.21s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.855

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.936

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.935

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.847

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.849

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.616

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.931

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.931

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.930

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.930

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.23s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.845

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.930

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.930

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.837

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.840

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.614

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.924

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.926

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.923

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.924

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.21s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.828

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.931

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.931

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.828

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.831

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.605

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.912

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.912

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.908

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.912

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.76s).

Accumulating evaluation results...

DONE (t=0.22s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.814

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.924

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.924

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.806

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.805

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.589

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.896

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.896

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.888

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.907

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.22s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.832

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.933

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.931

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.827

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.827

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.609

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.908

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.908

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.905

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.908

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.22s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.827

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.923

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.923

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.815

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.830

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.606

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.916

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.916

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.906

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.930

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.23s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.836

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.933

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.933

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.828

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.837

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.606

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.914

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.914

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.908

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.924

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.26s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.838

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.942

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.941

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.827

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.832

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.606

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.902

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.904

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.898

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.910

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.24s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.853

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.944

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.943

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.845

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.853

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.615

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.924

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.924

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.919

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.928

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.27s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.841

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.941

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.941

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.828

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.845

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.605

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.911

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.911

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.903

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.921

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.24s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.803

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.948

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.946

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.794

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.798

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.583

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.870

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.870

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.862

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.877

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.25s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.853

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.937

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.937

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.836

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.872

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.599

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.929

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.929

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.923

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.938

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.25s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.838

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.938

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.938

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.828

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.839

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.606

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.917

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.917

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.914

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.918

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.24s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.829

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.941

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.941

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.812

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.842

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.592

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.910

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.910

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.900

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.925

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.79s).

Accumulating evaluation results...

DONE (t=0.26s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.839

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.938

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.938

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.825

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.847

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.613

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.919

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.919

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.916

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.917

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.29s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.843

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.942

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.942

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.826

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.863

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.610

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.914

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.914

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.907

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.923

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.79s).

Accumulating evaluation results...

DONE (t=0.27s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.844

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.929

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.929

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.829

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.860

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.611

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.928

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.928

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.924

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.927

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.30s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.841

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.938

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.938

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.821

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.870

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.609

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.915

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.915

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.905

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.932

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.80s).

Accumulating evaluation results...

DONE (t=0.28s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.863

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.944

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.944

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.846

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.881

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.619

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.936

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.936

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.929

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.942

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.29s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.871

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.947

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.947

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.854

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.886

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.618

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.938

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.938

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.930

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.945

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.77s).

Accumulating evaluation results...

DONE (t=0.29s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.863

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.952

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.952

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.852

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.875

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.619

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.926

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.926

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.920

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.933

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.28s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.862

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.950

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.950

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.849

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.863

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.621

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.929

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.929

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.925

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.932

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.30s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.849

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.930

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.930

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.835

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.858

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.611

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.932

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.932

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.929

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.932

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.31s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.869

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.952

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.952

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.853

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.886

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.617

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.930

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.930

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.923

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.940

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.79s).

Accumulating evaluation results...

DONE (t=0.31s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.865

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.948

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.948

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.853

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.871

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.618

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.932

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.932

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.928

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.937

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.78s).

Accumulating evaluation results...

DONE (t=0.31s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.843

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.933

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.933

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.833

Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.842

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.602

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.923

Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.923

Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.918

Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.925

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.

creating index...

index created!

creating index...

index created!

Running per image evaluation...

Evaluate annotation type *bbox*

DONE (t=0.79s).

Accumulating evaluation results...

DONE (t=0.30s).

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.863

Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.946

Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.946

Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000

Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.851