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Huge Error When Attempting to Train Using This API #9616

Open DJT777 opened 3 years ago

DJT777 commented 3 years ago

Prerequisites

Please answer the following questions for yourself before submitting an issue.

1. The entire URL of the file you are using

http://download.tensorflow.org/models/object_detection/tf2/20200711/ssd_resnet101_v1_fpn_640x640_coco17_tpu-8.tar.gz and http://download.tensorflow.org/models/object_detection/tf2/20200711/faster_rcnn_resnet101_v1_640x640_coco17_tpu-8.tar.gz

2. Describe the bug

I am getting this output when training with a customized dataset and modified config file: Streaming output truncated to the last 5000 lines.

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       0.], dtype=float32)>
}, MirroredVariable:{
  0: <tf.Variable 'conv4_block18_3_bn/beta:0' shape=(1024,) dtype=float32, numpy=array([0., 0., 0., ..., 0., 0., 0.], dtype=float32)>
}, MirroredVariable:{
  0: <tf.Variable 'conv3_block4_1_bn/gamma:0' shape=(128,) dtype=float32, numpy=
array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
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}, SyncOnReadVariable:{
  0: <tf.Variable 'conv4_block18_1_bn/moving_variance:0' shape=(256,) dtype=float32, numpy=
array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
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}, MirroredVariable:{
  0: <tf.Variable 'conv2_block3_3_bn/beta:0' shape=(256,) dtype=float32, numpy=
array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
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}, SyncOnReadVariable:{
  0: <tf.Variable 'conv4_block19_1_bn/moving_mean:0' shape=(256,) dtype=float32, numpy=
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}, SyncOnReadVariable:{
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}, MirroredVariable:{

REDACTED FOR LINE SPACE

WARNING:tensorflow:Unresolved object in checkpoint: (root).model
W0106 23:23:31.199386 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._groundtruth_lists
W0106 23:23:31.199696 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._groundtruth_lists
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor
W0106 23:23:31.199785 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor
W0106 23:23:31.199881 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._batched_prediction_tensor_names
W0106 23:23:31.199952 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._batched_prediction_tensor_names
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head
W0106 23:23:31.200022 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head

REDACTED FOR LINE SPACE

WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads
W0106 23:23:31.200100 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._sorted_head_names
W0106 23:23:31.200213 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._sorted_head_names
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers
W0106 23:23:31.200285 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads
W0106 23:23:31.200359 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers
W0106 23:23:31.200425 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._resnet_block_names
W0106 23:23:31.200490 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._resnet_block_names
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._coarse_feature_layers
W0106 23:23:31.200572 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._coarse_feature_layers
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone
W0106 23:23:31.200636 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator
W0106 23:23:31.200699 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers
W0106 23:23:31.200772 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._box_prediction_head._box_encoder_layers
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background
W0106 23:23:31.200837 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._prediction_heads.class_predictions_with_background
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.0
W0106 23:23:31.200930 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.0
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.1
W0106 23:23:31.200996 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.2
W0106 23:23:31.201069 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.3
W0106 23:23:31.201176 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.3
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.4
W0106 23:23:31.201246 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._additional_projection_layers.4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings
W0106 23:23:31.201313 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background
W0106 23:23:31.201396 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower
W0106 23:23:31.201462 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.BoxPredictionTower
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower
W0106 23:23:31.201527 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._head_scope_conv_layers.ClassPredictionTower
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._coarse_feature_layers.0
W0106 23:23:31.201591 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._coarse_feature_layers.0
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._coarse_feature_layers.1
W0106 23:23:31.201654 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._coarse_feature_layers.1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-0
W0106 23:23:31.201718 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-0
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-1
W0106 23:23:31.201809 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-0
W0106 23:23:31.201875 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-0
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-1
W0106 23:23:31.201987 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-1
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-4
W0106 23:23:31.202074 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-5
W0106 23:23:31.202139 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-2
W0106 23:23:31.202226 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-2
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-3
W0106 23:23:31.202292 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-3
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-8
W0106 23:23:31.202357 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-4
W0106 23:23:31.202422 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-4
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-5
W0106 23:23:31.202488 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-5
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-11
W0106 23:23:31.202553 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-11
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-6
W0106 23:23:31.202618 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-6
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-7
W0106 23:23:31.202683 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-7
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-8
W0106 23:23:31.202749 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-8
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-9
W0106 23:23:31.202814 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-9
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-16
W0106 23:23:31.202880 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-16
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-17
W0106 23:23:31.202945 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-17
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-10
W0106 23:23:31.203017 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-10
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-11
W0106 23:23:31.203092 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-11
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-20
W0106 23:23:31.203170 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-20
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-12
W0106 23:23:31.203238 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-12
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-13
W0106 23:23:31.203304 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-13
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-23
W0106 23:23:31.203368 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-23
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-14
W0106 23:23:31.203448 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-14
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-15
W0106 23:23:31.203529 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-15
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-26
W0106 23:23:31.203595 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-26
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-27
W0106 23:23:31.203660 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-27
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-16
W0106 23:23:31.203725 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-16
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-17
W0106 23:23:31.203790 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-17
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-30
W0106 23:23:31.203873 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer-30
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-18
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(root).model._feature_extractor.classification_backbone.layer_with_weights-155.gamma
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WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-157.moving_variance
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W0106 23:23:31.342415 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-159.axis
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W0106 23:23:31.342622 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-159.beta
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W0106 23:23:31.342726 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-159.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-159.moving_variance
W0106 23:23:31.342831 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-159.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-160.kernel
W0106 23:23:31.342934 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-160.kernel
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W0106 23:23:31.343037 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-161.axis
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W0106 23:23:31.343169 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-161.gamma
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W0106 23:23:31.343281 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-161.beta
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W0106 23:23:31.343397 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-161.moving_mean
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W0106 23:23:31.343503 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-161.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-162.kernel
W0106 23:23:31.343608 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-162.kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-163.axis
W0106 23:23:31.343766 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-163.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-163.gamma
W0106 23:23:31.343880 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-163.gamma
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W0106 23:23:31.343982 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-163.beta
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W0106 23:23:31.344091 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-163.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-163.moving_variance
W0106 23:23:31.344209 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-163.moving_variance
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W0106 23:23:31.344312 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-164.kernel
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W0106 23:23:31.344414 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-165.axis
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W0106 23:23:31.344517 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-165.gamma
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W0106 23:23:31.344621 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-165.beta
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W0106 23:23:31.344723 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-165.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-165.moving_variance
W0106 23:23:31.344824 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-165.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-166.kernel
W0106 23:23:31.344925 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-166.kernel
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W0106 23:23:31.345026 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-167.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-167.gamma
W0106 23:23:31.345145 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-167.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-167.beta
W0106 23:23:31.345267 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-167.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-167.moving_mean
W0106 23:23:31.345387 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-167.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-167.moving_variance
W0106 23:23:31.345488 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-167.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-168.kernel
W0106 23:23:31.345637 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-168.kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-169.axis
W0106 23:23:31.345739 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-169.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-169.gamma
W0106 23:23:31.345853 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-169.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-169.beta
W0106 23:23:31.345952 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-169.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-169.moving_mean
W0106 23:23:31.346065 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-169.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-169.moving_variance
W0106 23:23:31.346184 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-169.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-170.kernel
W0106 23:23:31.346288 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-170.kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-171.axis
W0106 23:23:31.346388 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-171.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-171.gamma
W0106 23:23:31.346502 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-171.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-171.beta
W0106 23:23:31.346624 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-171.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-171.moving_mean
W0106 23:23:31.346726 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-171.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-171.moving_variance
W0106 23:23:31.346828 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-171.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-172.kernel
W0106 23:23:31.346928 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-172.kernel
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W0106 23:23:31.347030 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-173.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-173.gamma
W0106 23:23:31.347170 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-173.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-173.beta
W0106 23:23:31.347295 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-173.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-173.moving_mean
W0106 23:23:31.347404 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-173.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-173.moving_variance
W0106 23:23:31.347505 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-173.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-174.kernel
W0106 23:23:31.347647 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-174.kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-175.axis
W0106 23:23:31.347748 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-175.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-175.gamma
W0106 23:23:31.347847 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-175.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-175.beta
W0106 23:23:31.347946 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-175.beta
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W0106 23:23:31.348052 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-175.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-175.moving_variance
W0106 23:23:31.348174 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-175.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-176.kernel
W0106 23:23:31.348282 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-176.kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-177.axis
W0106 23:23:31.348382 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-177.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-177.gamma
W0106 23:23:31.348483 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-177.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-177.beta
W0106 23:23:31.348588 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-177.beta
WARNING:tensorflow:Unresolved object in checkpoint: 
(root).model._feature_extractor.classification_backbone.layer_with_weights-182.kernel
W0106 23:23:31.350454 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-182.kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor.classification_backbone.layer_with_weights-183.axis
W0106 23:23:31.350554 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.10.beta
W0106 23:23:31.378225 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.10.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.10.moving_mean
W0106 23:23:31.378345 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.10.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.10.moving_variance
W0106 23:23:31.378480 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.10.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.axis
W0106 23:23:31.378598 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.gamma
W0106 23:23:31.378715 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.beta
W0106 23:23:31.378826 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.moving_mean
W0106 23:23:31.378939 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.moving_variance
W0106 23:23:31.379059 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.axis
W0106 23:23:31.379179 140501308098368 util.py:161] Unresolved object in checkpoint: (r(root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.moving_variance

REDACTED FOR LINESPACE

W0106 23:23:31.397057 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.residual_blocks.1.0.kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.residual_blocks.1.0.bias
W0106 23:23:31.397197 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.residual_blocks.1.0.bias
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.0.kernel
W0106 23:23:31.397305 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.0.kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.1.axis
W0106 23:23:31.397417 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.1.gamma
W0106 23:23:31.397588 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.1.beta
W0106 23:23:31.397691 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.1.moving_mean
W0106 23:23:31.397791 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.1.moving_variance
W0106 23:23:31.397891 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.0.1.moving_variance
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.0.kernel
W0106 23:23:31.397995 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.0.kernel
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.axis
W0106 23:23:31.398103 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.axis
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.gamma
W0106 23:23:31.398238 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.gamma
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.beta
W0106 23:23:31.398366 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.beta
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.moving_mean
W0106 23:23:31.398483 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.moving_mean
WARNING:tensorflow:Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.moving_variance
W0106 23:23:31.398597 140501308098368 util.py:161] Unresolved object in checkpoint: (root).model._feature_extractor._fpn_features_generator.conv_layers.1.1.moving_variance
WARNING:tensorflow:A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. Use expect_partial() on the load status object, e.g. tf.train.Checkpoint.restore(...).expect_partial(), to silence these warnings, or use assert_consumed() to make the check explicit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.
W0106 23:23:31.398726 140501308098368 util.py:169] A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. Use expect_partial() on the load status object, e.g. tf.train.Checkpoint.restore(...).expect_partial(), to silence these warnings, or use assert_consumed() to make the check explicit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.

3. Steps to reproduce

Pipeline Config:

model {
  ssd {
    num_classes: 1
    image_resizer {
      fixed_shape_resizer {
        height: 640
        width: 640
      }
    }
    feature_extractor {
      type: "ssd_resnet101_v1_fpn_keras"
      depth_multiplier: 1.0
      min_depth: 16
      conv_hyperparams {
        regularizer {
          l2_regularizer {
            weight: 0.00039999998989515007
          }
        }
        initializer {
          truncated_normal_initializer {
            mean: 0.0
            stddev: 0.029999999329447746
          }
        }
        activation: RELU_6
        batch_norm {
          decay: 0.996999979019165
          scale: true
          epsilon: 0.0010000000474974513
        }
      }
      override_base_feature_extractor_hyperparams: true
      fpn {
        min_level: 3
        max_level: 7
      }
    }
    box_coder {
      faster_rcnn_box_coder {
        y_scale: 10.0
        x_scale: 10.0
        height_scale: 5.0
        width_scale: 5.0
      }
    }
    matcher {
      argmax_matcher {
        matched_threshold: 0.5
        unmatched_threshold: 0.5
        ignore_thresholds: false
        negatives_lower_than_unmatched: true
        force_match_for_each_row: true
        use_matmul_gather: true
      }
    }
    similarity_calculator {
      iou_similarity {
      }
    }
    box_predictor {
      weight_shared_convolutional_box_predictor {
        conv_hyperparams {
          regularizer {
            l2_regularizer {
              weight: 0.00039999998989515007
            }
          }
          initializer {
            random_normal_initializer {
              mean: 0.0
              stddev: 0.009999999776482582
            }
          }
          activation: RELU_6
          batch_norm {
            decay: 0.996999979019165
            scale: true
            epsilon: 0.0010000000474974513
          }
        }
        depth: 256
        num_layers_before_predictor: 4
        kernel_size: 3
        class_prediction_bias_init: -4.599999904632568
      }
    }
    anchor_generator {
      multiscale_anchor_generator {
        min_level: 3
        max_level: 7
        anchor_scale: 4.0
        aspect_ratios: 1.0
        aspect_ratios: 2.0
        aspect_ratios: 0.5
        scales_per_octave: 2
      }
    }
    post_processing {
      batch_non_max_suppression {
        score_threshold: 9.99999993922529e-09
        iou_threshold: 0.6000000238418579
        max_detections_per_class: 100
        max_total_detections: 100
        use_static_shapes: false
      }
      score_converter: SIGMOID
    }
    normalize_loss_by_num_matches: true
    loss {
      localization_loss {
        weighted_smooth_l1 {
        }
      }
      classification_loss {
        weighted_sigmoid_focal {
          gamma: 2.0
          alpha: 0.25
        }
      }
      classification_weight: 1.0
      localization_weight: 1.0
    }
    encode_background_as_zeros: true
    normalize_loc_loss_by_codesize: true
    inplace_batchnorm_update: true
    freeze_batchnorm: false
  }
}
train_config {
  batch_size: 1
  data_augmentation_options {
    random_horizontal_flip {
    }
  }
  data_augmentation_options {
    random_crop_image {
      min_object_covered: 0.0
      min_aspect_ratio: 0.75
      max_aspect_ratio: 3.0
      min_area: 0.75
      max_area: 1.0
      overlap_thresh: 0.0
    }
  }
  sync_replicas: true
  optimizer {
    momentum_optimizer {
      learning_rate {
        cosine_decay_learning_rate {
          learning_rate_base: 0.03999999910593033
          total_steps: 25000
          warmup_learning_rate: 0.013333000242710114
          warmup_steps: 2000
        }
      }
      momentum_optimizer_value: 0.8999999761581421
    }
    use_moving_average: false
  }
  fine_tune_checkpoint: "/content/ssd_resnet101_v1_fpn_640x640_coco17_tpu-8/checkpoint/ckpt-0"
  num_steps: 25000
  startup_delay_steps: 0.0
  replicas_to_aggregate: 8
  max_number_of_boxes: 100
  unpad_groundtruth_tensors: false
  fine_tune_checkpoint_type: "detection"
  use_bfloat16: true
  fine_tune_checkpoint_version: V2
}
train_input_reader {
  label_map_path: "/content/drive/MyDrive/label_map_one_class.pbtxt"
  tf_record_input_reader {
    input_path: "/content/drive/MyDrive/train_one_class.tfrecord"
  }
}
eval_config {
  metrics_set: "coco_detection_metrics"
  use_moving_averages: false
}
eval_input_reader {
  label_map_path: "/content/drive/MyDrive/label_map_one_class.pbtxt"
  shuffle: false
  num_epochs: 1
  tf_record_input_reader {
    input_path: "/content/drive/MyDrive/test_one_class.tfrecord"
  }
}

4. Expected behavior

Train model succesfully. Line 1 of .txt of files : 335 500 001.Black_footed_Albatross Black_Footed_Albatross_0046_18.jpg jpeg 60.0 27.0 325.0 304.0 001 Black_footed_Albatross

H, W, subdir, filename, bbox x, bbox y, bbox width, bbox height, class integer, and class name.

With this script:

def create_tf_example(example):
  # TODO(user): Populate the following variables from your example.
  height = int(example[0]) # Image height
  width = int(example[1]) # Image width
  filename = str(os.path.join(example[2], example[3])) # Filename of the image. Empty if image is not from file
  encoded_filename = str.encode(filename)
  abs_filepath = os.path.join(root_dir, filename)
  open_file = open(abs_filepath, "rb")
  encoded_image_data = open_file.read() # Encoded image bytes
  image_format = str.encode(example[4])

  xmins = [float(example[5])/float(example[1])] # List of normalized left x coordinates in bounding box (1 per box)
  xcalc = float(example[7]) + float(example[5])
  xmaxs = [xcalc/float(example[1])] # List of normalized right x coordinates in bounding box
             # (1 per box)

  ymins = [float(example[6])/float(example[0])] # List of normalized top y coordinates in bounding box (1 per box)
  ycalc = float(example[8])+float(example[6])
  ymaxs = [ycalc/float(example[0])] # List of normalized bottom y coordinates in bounding box
             # (1 per box))

  classes_text = [str.encode("bird")] # List of string class name of bounding box (1 per box)

  classes = [int(1)] # List of integer class id of bounding box (1 per box)

  tf_example = tf.train.Example(features=tf.train.Features(feature={
      'image/height': dataset_util.int64_feature(height),
      'image/width': dataset_util.int64_feature(width),
      'image/filename': dataset_util.bytes_feature(encoded_filename),
      'image/source_id': dataset_util.bytes_feature(encoded_filename),
      'image/encoded': dataset_util.bytes_feature(encoded_image_data),
      'image/format': dataset_util.bytes_feature(image_format),
      'image/object/bbox/xmin': dataset_util.float_list_feature(xmins),
      'image/object/bbox/xmax': dataset_util.float_list_feature(xmaxs),
      'image/object/bbox/ymin': dataset_util.float_list_feature(ymins),
      'image/object/bbox/ymax': dataset_util.float_list_feature(ymaxs),
      'image/object/class/text': dataset_util.bytes_list_feature(classes_text),
      'image/object/class/label': dataset_util.int64_list_feature(classes),

That script creates my records based on the CUB-2011 dataset.

5. Additional context

I am using this kind of dataset:

TFRecord .txt

335 500 001.Black_footed_Albatross Black_Footed_Albatross_0046_18.jpg jpeg 60.0 27.0 325.0 304.0 001 Black_footed_Albatross

  # TODO(user): Populate the following variables from your example.
  height = int(example[0]) # Image height
  width = int(example[1]) # Image width
  filename = str(os.path.join(example[2], example[3])) # Filename of the image. Empty if image is not from file
  encoded_filename = str.encode(filename)
  abs_filepath = os.path.join(root_dir, filename)
  open_file = open(abs_filepath, "rb")
  encoded_image_data = open_file.read() # Encoded image bytes
  image_format = str.encode(example[4])

  xmins = [float(example[5])/float(example[1])] # List of normalized left x coordinates in bounding box (1 per box)
  xcalc = float(example[7]) + float(example[5])
  xmaxs = [xcalc/float(example[1])] # List of normalized right x coordinates in bounding box
             # (1 per box)

  ymins = [float(example[6])/float(example[0])] # List of normalized top y coordinates in bounding box (1 per box)
  ycalc = float(example[8])+float(example[6])
  ymaxs = [ycalc/float(example[0])] # List of normalized bottom y coordinates in bounding box
             # (1 per box))

  classes_text = [str.encode("bird")] # List of string class name of bounding box (1 per box)

  classes = [int(1)] # List of integer class id of bounding box (1 per box)

  tf_example = tf.train.Example(features=tf.train.Features(feature={
      'image/height': dataset_util.int64_feature(height),
      'image/width': dataset_util.int64_feature(width),
      'image/filename': dataset_util.bytes_feature(encoded_filename),
      'image/source_id': dataset_util.bytes_feature(encoded_filename),
      'image/encoded': dataset_util.bytes_feature(encoded_image_data),
      'image/format': dataset_util.bytes_feature(image_format),
      'image/object/bbox/xmin': dataset_util.float_list_feature(xmins),
      'image/object/bbox/xmax': dataset_util.float_list_feature(xmaxs),
      'image/object/bbox/ymin': dataset_util.float_list_feature(ymins),
      'image/object/bbox/ymax': dataset_util.float_list_feature(ymaxs),
      'image/object/class/text': dataset_util.bytes_list_feature(classes_text),
      'image/object/class/label': dataset_util.int64_list_feature(classes),

6. System information

Google Colab defaults with this repository's dependencies.

rabbitme commented 3 years ago

I got the same error when I trained CenterNet.

DJT777 commented 3 years ago

@rabbitme

I was able to somehow get these models to train when using a modified version of AbdelRahman's Tf2 API training tutorial scripts. I simply modified his bash file to redirect to my configs and alternate directores and such.

Still does not answer why Tf2's scripts are not training properly. I also recommend placing "PATH TO BE CONFIGURED"/ckpt-0 for some of these detection models. It may be confusing for new people how to configure a model checkpoint in the pipeline when it is just "PATH TO BE CONFIGURED" in the config.

devloper13 commented 3 years ago

@DJT777 I got the same error as wel. Thanks for pointing us to AbdelRahman's code. All I changed was from classifiation to detection and mentioned the checkpoint steps. And it worked.

DJT777 commented 3 years ago

@devloper13 You're welcome!

yieniggu commented 3 years ago

@rabbitme where you able to train the centernet? I'm getting the same error when training a centernet_hg_104. Unfortunately for me, none of @DJT777 or @devloper13 tricks worked for me.

Does any colaborator here have something to say or help with?