tony607 / object_detection_demo Goto Github PK

Test_Image_Paths not defined error while running inference test

Is there any way to get the mAP for test dataset after training? Thanks

Hi, I tried your google colab for object detection and in the training stage it raise this exception:

`INFO:tensorflow:Loading and preparing annotation results...
I0329 19:33:45.885196 140260674410240 coco_tools.py:115] Loading and preparing annotation results...
INFO:tensorflow:DONE (t=0.00s)
I0329 19:33:45.885412 140260674410240 coco_tools.py:137] DONE (t=0.00s)
creating index...
index created!
2020-03-29 19:33:45.894500: W tensorflow/core/framework/op_kernel.cc:1639] Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer`

The only thing that I changed to the original notebook is that I used tensorflow 1.x because otherwise it won't work with the 2.x version.

Is this related to the tensorflow version you used? could you tell me which specific version you used?

thanks.

WARNING:tensorflow:
The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:

• https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
• https://github.com/tensorflow/addons
• https://github.com/tensorflow/io (for I/O related ops)
  If you depend on functionality not listed there, please file an issue.

WARNING:tensorflow:From /content/models/research/object_detection/model_main.py:109: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.

WARNING:tensorflow:From /content/models/research/object_detection/utils/config_util.py:102: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

W0511 10:15:30.872198 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/config_util.py:102: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:628: The name tf.logging.warning is deprecated. Please use tf.compat.v1.logging.warning instead.

W0511 10:15:30.875162 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:628: The name tf.logging.warning is deprecated. Please use tf.compat.v1.logging.warning instead.

WARNING:tensorflow:Forced number of epochs for all eval validations to be 1.
W0511 10:15:30.875310 140627488786304 model_lib.py:629] Forced number of epochs for all eval validations to be 1.
WARNING:tensorflow:From /content/models/research/object_detection/utils/config_util.py:488: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.

W0511 10:15:30.875430 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/config_util.py:488: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.

INFO:tensorflow:Maybe overwriting train_steps: 1000
I0511 10:15:30.875515 140627488786304 config_util.py:488] Maybe overwriting train_steps: 1000
INFO:tensorflow:Maybe overwriting use_bfloat16: False
I0511 10:15:30.875617 140627488786304 config_util.py:488] Maybe overwriting use_bfloat16: False
INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: 1
I0511 10:15:30.875695 140627488786304 config_util.py:488] Maybe overwriting sample_1_of_n_eval_examples: 1
INFO:tensorflow:Maybe overwriting eval_num_epochs: 1
I0511 10:15:30.875774 140627488786304 config_util.py:488] Maybe overwriting eval_num_epochs: 1
INFO:tensorflow:Maybe overwriting load_pretrained: True
I0511 10:15:30.875844 140627488786304 config_util.py:488] Maybe overwriting load_pretrained: True
INFO:tensorflow:Ignoring config override key: load_pretrained
I0511 10:15:30.875911 140627488786304 config_util.py:498] Ignoring config override key: load_pretrained
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.
W0511 10:15:30.876527 140627488786304 model_lib.py:645] Expected number of evaluation epochs is 1, but instead encountered eval_on_train_input_config.num_epochs = 0. Overwriting num_epochs to 1.
INFO:tensorflow:create_estimator_and_inputs: use_tpu False, export_to_tpu False
I0511 10:15:30.876646 140627488786304 model_lib.py:680] create_estimator_and_inputs: use_tpu False, export_to_tpu False
INFO:tensorflow:Using config: {'_model_dir': 'training/', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true
graph_options {
rewrite_options {
meta_optimizer_iterations: ONE
}
}
, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fe5fb592c18>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
I0511 10:15:30.877022 140627488786304 estimator.py:212] Using config: {'_model_dir': 'training/', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true
graph_options {
rewrite_options {
meta_optimizer_iterations: ONE
}
}
, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7fe5fb592c18>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
WARNING:tensorflow:Estimator's model_fn (<function create_model_fn..model_fn at 0x7fe5fb3f2f28>) includes params argument, but params are not passed to Estimator.
W0511 10:15:30.877231 140627488786304 model_fn.py:630] Estimator's model_fn (<function create_model_fn..model_fn at 0x7fe5fb3f2f28>) includes params argument, but params are not passed to Estimator.
INFO:tensorflow:Not using Distribute Coordinator.
I0511 10:15:30.878021 140627488786304 estimator_training.py:186] Not using Distribute Coordinator.
INFO:tensorflow:Running training and evaluation locally (non-distributed).
I0511 10:15:30.878187 140627488786304 training.py:612] Running training and evaluation locally (non-distributed).
INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 600.
I0511 10:15:30.878407 140627488786304 training.py:700] Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 600.
WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
W0511 10:15:30.893222 140627488786304 deprecation.py:323] From /tensorflow-1.15.2/python3.6/tensorflow_core/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
WARNING:tensorflow:From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:182: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.

W0511 10:15:30.903071 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:182: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.

WARNING:tensorflow:From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:197: The name tf.VarLenFeature is deprecated. Please use tf.io.VarLenFeature instead.

W0511 10:15:30.903265 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/data_decoders/tf_example_decoder.py:197: The name tf.VarLenFeature is deprecated. Please use tf.io.VarLenFeature instead.

WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:64: The name tf.gfile.Glob is deprecated. Please use tf.io.gfile.glob instead.

W0511 10:15:30.913679 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/builders/dataset_builder.py:64: The name tf.gfile.Glob is deprecated. Please use tf.io.gfile.glob instead.

WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
W0511 10:15:30.914405 140627488786304 dataset_builder.py:72] num_readers has been reduced to 1 to match input file shards.
WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:86: parallel_interleave (from tensorflow.contrib.data.python.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.experimental.parallel_interleave(...).
W0511 10:15:30.919276 140627488786304 deprecation.py:323] From /content/models/research/object_detection/builders/dataset_builder.py:86: parallel_interleave (from tensorflow.contrib.data.python.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.experimental.parallel_interleave(...).
WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/contrib/data/python/ops/interleave_ops.py:77: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.experimental.AUTOTUNE) instead. If sloppy execution is desired, use tf.data.Options.experimental_determinstic.
W0511 10:15:30.919430 140627488786304 deprecation.py:323] From /tensorflow-1.15.2/python3.6/tensorflow_core/contrib/data/python/ops/interleave_ops.py:77: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.experimental.AUTOTUNE) instead. If sloppy execution is desired, use tf.data.Options.experimental_determinstic.
WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:155: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.Dataset.map() W0511 10:15:30.938539 140627488786304 deprecation.py:323] From /content/models/research/object_detection/builders/dataset_builder.py:155: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.data.Dataset.map()
WARNING:tensorflow:Entity <function build..process_fn at 0x7fe5fb3e6268> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4
W0511 10:15:30.955182 140627488786304 ag_logging.py:146] Entity <function build..process_fn at 0x7fe5fb3e6268> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4
WARNING:tensorflow:From /content/models/research/object_detection/utils/ops.py:491: The name tf.is_nan is deprecated. Please use tf.math.is_nan instead.

W0511 10:15:31.090082 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/ops.py:491: The name tf.is_nan is deprecated. Please use tf.math.is_nan instead.

WARNING:tensorflow:From /content/models/research/object_detection/utils/ops.py:493: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
W0511 10:15:31.093502 140627488786304 deprecation.py:323] From /content/models/research/object_detection/utils/ops.py:493: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /content/models/research/object_detection/core/preprocessor.py:627: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

W0511 10:15:31.134708 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/core/preprocessor.py:627: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.

WARNING:tensorflow:From /content/models/research/object_detection/core/preprocessor.py:197: sample_distorted_bounding_box (from tensorflow.python.ops.image_ops_impl) is deprecated and will be removed in a future version.
Instructions for updating:
seed2 arg is deprecated.Use sample_distorted_bounding_box_v2 instead.
W0511 10:15:31.182272 140627488786304 deprecation.py:323] From /content/models/research/object_detection/core/preprocessor.py:197: sample_distorted_bounding_box (from tensorflow.python.ops.image_ops_impl) is deprecated and will be removed in a future version.
Instructions for updating:
seed2 arg is deprecated.Use sample_distorted_bounding_box_v2 instead.
WARNING:tensorflow:From /content/models/research/object_detection/core/preprocessor.py:2937: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.

W0511 10:15:31.760313 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/core/preprocessor.py:2937: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.

WARNING:tensorflow:From /content/models/research/object_detection/inputs.py:168: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
W0511 10:15:31.774447 140627488786304 deprecation.py:323] From /content/models/research/object_detection/inputs.py:168: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
WARNING:tensorflow:From /content/models/research/object_detection/inputs.py:470: The name tf.string_to_hash_bucket_fast is deprecated. Please use tf.strings.to_hash_bucket_fast instead.

W0511 10:15:32.111847 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/inputs.py:470: The name tf.string_to_hash_bucket_fast is deprecated. Please use tf.strings.to_hash_bucket_fast instead.

WARNING:tensorflow:From /content/models/research/object_detection/builders/dataset_builder.py:158: batch_and_drop_remainder (from tensorflow.contrib.data.python.ops.batching) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.Dataset.batch(..., drop_remainder=True).
W0511 10:15:32.149738 140627488786304 deprecation.py:323] From /content/models/research/object_detection/builders/dataset_builder.py:158: batch_and_drop_remainder (from tensorflow.contrib.data.python.ops.batching) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.data.Dataset.batch(..., drop_remainder=True).
INFO:tensorflow:Calling model_fn.
I0511 10:15:32.162246 140627488786304 estimator.py:1148] Calling model_fn.
WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:589: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.

W0511 10:15:32.305960 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:589: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.

WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:597: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

W0511 10:15:32.306210 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:597: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.

WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/contrib/layers/python/layers/layers.py:1057: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.
Instructions for updating:
Please use layer.__call__ method instead.
W0511 10:15:32.416493 140627488786304 deprecation.py:323] From /tensorflow-1.15.2/python3.6/tensorflow_core/contrib/layers/python/layers/layers.py:1057: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.
Instructions for updating:
Please use layer.__call__ method instead.
WARNING:tensorflow:From /content/models/research/object_detection/core/anchor_generator.py:171: The name tf.assert_equal is deprecated. Please use tf.compat.v1.assert_equal instead.

W0511 10:15:34.754431 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/core/anchor_generator.py:171: The name tf.assert_equal is deprecated. Please use tf.compat.v1.assert_equal instead.

INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.763493 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.795259 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.822430 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.849195 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.876059 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:15:34.903003 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
WARNING:tensorflow:From /content/models/research/object_detection/utils/variables_helper.py:179: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

W0511 10:15:34.934131 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/variables_helper.py:179: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.

WARNING:tensorflow:From /content/models/research/object_detection/utils/variables_helper.py:139: The name tf.train.NewCheckpointReader is deprecated. Please use tf.compat.v1.train.NewCheckpointReader instead.

W0511 10:15:34.935094 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/variables_helper.py:139: The name tf.train.NewCheckpointReader is deprecated. Please use tf.compat.v1.train.NewCheckpointReader instead.

W0511 10:15:34.938907 140627488786304 variables_helper.py:154] Variable [FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_2_3x3_s2_512/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 256, 512]], model variable shape: [[3, 3, 256, 512]]. This variable will not be initialized from the checkpoint.
W0511 10:15:34.939044 140627488786304 variables_helper.py:154] Variable [FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_3_3x3_s2_256/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 128, 256]], model variable shape: [[3, 3, 128, 256]]. This variable will not be initialized from the checkpoint.
W0511 10:15:34.939143 140627488786304 variables_helper.py:154] Variable [FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_4_3x3_s2_256/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 128, 256]], model variable shape: [[3, 3, 128, 256]]. This variable will not be initialized from the checkpoint.
W0511 10:15:34.939242 140627488786304 variables_helper.py:154] Variable [FeatureExtractor/MobilenetV2/layer_19_2_Conv2d_5_3x3_s2_128/weights] is available in checkpoint, but has an incompatible shape with model variable. Checkpoint shape: [[1, 1, 64, 128]], model variable shape: [[3, 3, 64, 128]]. This variable will not be initialized from the checkpoint.
WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:353: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

W0511 10:15:34.939395 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:353: The name tf.train.init_from_checkpoint is deprecated. Please use tf.compat.v1.train.init_from_checkpoint instead.

WARNING:tensorflow:From /content/models/research/object_detection/box_coders/faster_rcnn_box_coder.py:82: The name tf.log is deprecated. Please use tf.math.log instead.

W0511 10:15:35.874850 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/box_coders/faster_rcnn_box_coder.py:82: The name tf.log is deprecated. Please use tf.math.log instead.

WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1163: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.

W0511 10:15:37.544098 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1163: The name tf.summary.scalar is deprecated. Please use tf.compat.v1.summary.scalar instead.

WARNING:tensorflow:From /content/models/research/object_detection/core/losses.py:177: The name tf.losses.huber_loss is deprecated. Please use tf.compat.v1.losses.huber_loss instead.

W0511 10:15:37.551663 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/core/losses.py:177: The name tf.losses.huber_loss is deprecated. Please use tf.compat.v1.losses.huber_loss instead.

WARNING:tensorflow:From /content/models/research/object_detection/core/losses.py:183: The name tf.losses.Reduction is deprecated. Please use tf.compat.v1.losses.Reduction instead.

W0511 10:15:37.553322 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/core/losses.py:183: The name tf.losses.Reduction is deprecated. Please use tf.compat.v1.losses.Reduction instead.

WARNING:tensorflow:From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1275: The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead.

W0511 10:15:37.846622 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/meta_architectures/ssd_meta_arch.py:1275: The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:380: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

W0511 10:15:37.848973 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:380: The name tf.train.get_or_create_global_step is deprecated. Please use tf.compat.v1.train.get_or_create_global_step instead.

WARNING:tensorflow:From /content/models/research/object_detection/utils/learning_schedules.py:66: The name tf.train.exponential_decay is deprecated. Please use tf.compat.v1.train.exponential_decay instead.

W0511 10:15:37.849270 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/learning_schedules.py:66: The name tf.train.exponential_decay is deprecated. Please use tf.compat.v1.train.exponential_decay instead.

WARNING:tensorflow:From /content/models/research/object_detection/builders/optimizer_builder.py:47: The name tf.train.RMSPropOptimizer is deprecated. Please use tf.compat.v1.train.RMSPropOptimizer instead.

W0511 10:15:37.857001 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/builders/optimizer_builder.py:47: The name tf.train.RMSPropOptimizer is deprecated. Please use tf.compat.v1.train.RMSPropOptimizer instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:398: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

W0511 10:15:37.857247 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:398: The name tf.trainable_variables is deprecated. Please use tf.compat.v1.trainable_variables instead.

WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/python/training/rmsprop.py:119: calling Ones.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
W0511 10:15:39.607686 140627488786304 deprecation.py:506] From /tensorflow-1.15.2/python3.6/tensorflow_core/python/training/rmsprop.py:119: calling Ones.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.
Instructions for updating:
Call initializer instance with the dtype argument instead of passing it to the constructor
WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:515: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

W0511 10:15:44.639674 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:515: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:519: The name tf.add_to_collection is deprecated. Please use tf.compat.v1.add_to_collection instead.

W0511 10:15:45.273331 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:519: The name tf.add_to_collection is deprecated. Please use tf.compat.v1.add_to_collection instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:520: The name tf.train.Scaffold is deprecated. Please use tf.compat.v1.train.Scaffold instead.

W0511 10:15:45.273638 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:520: The name tf.train.Scaffold is deprecated. Please use tf.compat.v1.train.Scaffold instead.

INFO:tensorflow:Done calling model_fn.
I0511 10:15:45.274109 140627488786304 estimator.py:1150] Done calling model_fn.
INFO:tensorflow:Create CheckpointSaverHook.
I0511 10:15:45.275341 140627488786304 basic_session_run_hooks.py:541] Create CheckpointSaverHook.
INFO:tensorflow:Graph was finalized.
I0511 10:15:48.424628 140627488786304 monitored_session.py:240] Graph was finalized.
2020-05-11 10:15:48.425037: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX512F
2020-05-11 10:15:48.436429: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2000140000 Hz
2020-05-11 10:15:48.436710: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2ca5b80 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-05-11 10:15:48.436742: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-05-11 10:15:48.441488: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-05-11 10:15:48.618964: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:48.619454: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2ca59c0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2020-05-11 10:15:48.619488: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla P4, Compute Capability 6.1
2020-05-11 10:15:48.620840: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:48.621195: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties:
name: Tesla P4 major: 6 minor: 1 memoryClockRate(GHz): 1.1135
pciBusID: 0000:00:04.0
2020-05-11 10:15:48.621496: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-05-11 10:15:48.895331: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-05-11 10:15:49.049146: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-05-11 10:15:49.072907: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-05-11 10:15:49.341865: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-05-11 10:15:49.365128: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-05-11 10:15:49.884828: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-05-11 10:15:49.885019: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:49.885501: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:49.885877: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0
2020-05-11 10:15:49.889506: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-05-11 10:15:49.890706: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-05-11 10:15:49.890738: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186] 0
2020-05-11 10:15:49.890753: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0: N
2020-05-11 10:15:49.891987: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:49.892412: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:15:49.892799: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.
2020-05-11 10:15:49.892847: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7123 MB memory) -> physical GPU (device: 0, name: Tesla P4, pci bus id: 0000:00:04.0, compute capability: 6.1)
INFO:tensorflow:Running local_init_op.
I0511 10:15:59.929085 140627488786304 session_manager.py:500] Running local_init_op.
INFO:tensorflow:Done running local_init_op.
I0511 10:16:00.234388 140627488786304 session_manager.py:502] Done running local_init_op.
INFO:tensorflow:Saving checkpoints for 0 into training/model.ckpt.
I0511 10:16:08.454163 140627488786304 basic_session_run_hooks.py:606] Saving checkpoints for 0 into training/model.ckpt.
2020-05-11 10:16:15.934402: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-05-11 10:16:20.461722: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
INFO:tensorflow:loss = 16.466208, step = 0
I0511 10:16:23.422762 140627488786304 basic_session_run_hooks.py:262] loss = 16.466208, step = 0
INFO:tensorflow:global_step/sec: 2.80101
I0511 10:16:59.123250 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 2.80101
INFO:tensorflow:loss = 4.6169624, step = 100 (35.702 sec)
I0511 10:16:59.124440 140627488786304 basic_session_run_hooks.py:260] loss = 4.6169624, step = 100 (35.702 sec)
INFO:tensorflow:global_step/sec: 3.08214
I0511 10:17:31.568260 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.08214
INFO:tensorflow:loss = 3.2046475, step = 200 (32.445 sec)
I0511 10:17:31.569403 140627488786304 basic_session_run_hooks.py:260] loss = 3.2046475, step = 200 (32.445 sec)
INFO:tensorflow:global_step/sec: 3.0645
I0511 10:18:04.199951 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.0645
INFO:tensorflow:loss = 3.0047712, step = 300 (32.632 sec)
I0511 10:18:04.200918 140627488786304 basic_session_run_hooks.py:260] loss = 3.0047712, step = 300 (32.632 sec)
INFO:tensorflow:global_step/sec: 3.04412
I0511 10:18:37.050171 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.04412
INFO:tensorflow:loss = 2.9054344, step = 400 (32.850 sec)
I0511 10:18:37.051382 140627488786304 basic_session_run_hooks.py:260] loss = 2.9054344, step = 400 (32.850 sec)
INFO:tensorflow:global_step/sec: 3.05753
I0511 10:19:09.756334 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.05753
INFO:tensorflow:loss = 2.3362093, step = 500 (32.706 sec)
I0511 10:19:09.757461 140627488786304 basic_session_run_hooks.py:260] loss = 2.3362093, step = 500 (32.706 sec)
INFO:tensorflow:global_step/sec: 3.075
I0511 10:19:42.276690 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.075
INFO:tensorflow:loss = 2.1170979, step = 600 (32.520 sec)
I0511 10:19:42.277913 140627488786304 basic_session_run_hooks.py:260] loss = 2.1170979, step = 600 (32.520 sec)
INFO:tensorflow:global_step/sec: 3.06628
I0511 10:20:14.889457 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.06628
INFO:tensorflow:loss = 2.0836995, step = 700 (32.613 sec)
I0511 10:20:14.890604 140627488786304 basic_session_run_hooks.py:260] loss = 2.0836995, step = 700 (32.613 sec)
INFO:tensorflow:global_step/sec: 3.04162
I0511 10:20:47.766752 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.04162
INFO:tensorflow:loss = 2.1069694, step = 800 (32.877 sec)
I0511 10:20:47.767689 140627488786304 basic_session_run_hooks.py:260] loss = 2.1069694, step = 800 (32.877 sec)
INFO:tensorflow:global_step/sec: 3.06967
I0511 10:21:20.343521 140627488786304 basic_session_run_hooks.py:692] global_step/sec: 3.06967
INFO:tensorflow:loss = 2.1898408, step = 900 (32.577 sec)
I0511 10:21:20.344552 140627488786304 basic_session_run_hooks.py:260] loss = 2.1898408, step = 900 (32.577 sec)
INFO:tensorflow:Saving checkpoints for 1000 into training/model.ckpt.
I0511 10:21:52.649225 140627488786304 basic_session_run_hooks.py:606] Saving checkpoints for 1000 into training/model.ckpt.
WARNING:tensorflow:Entity <function build..process_fn at 0x7fe5f431de18> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4
W0511 10:21:54.092649 140627488786304 ag_logging.py:146] Entity <function build..process_fn at 0x7fe5f431de18> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, export AUTOGRAPH_VERBOSITY=10) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4
INFO:tensorflow:Calling model_fn.
I0511 10:21:54.635602 140627488786304 estimator.py:1148] Calling model_fn.
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.608973 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.639086 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.667960 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.697221 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.725951 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
I0511 10:21:56.754738 140627488786304 convolutional_box_predictor.py:151] depth of additional conv before box predictor: 0
WARNING:tensorflow:From /content/models/research/object_detection/eval_util.py:796: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
W0511 10:21:57.441031 140627488786304 deprecation.py:323] From /content/models/research/object_detection/eval_util.py:796: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
WARNING:tensorflow:From /content/models/research/object_detection/utils/visualization_utils.py:498: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.
Instructions for updating:
tf.py_func is deprecated in TF V2. Instead, there are two
options available in V2.
- tf.py_function takes a python function which manipulates tf eager
tensors instead of numpy arrays. It's easy to convert a tf eager tensor to
an ndarray (just call tensor.numpy()) but having access to eager tensors
means tf.py_functions can use accelerators such as GPUs as well as
being differentiable using a gradient tape.
- tf.numpy_function maintains the semantics of the deprecated tf.py_func
(it is not differentiable, and manipulates numpy arrays). It drops the
stateful argument making all functions stateful.

W0511 10:21:57.628736 140627488786304 deprecation.py:323] From /content/models/research/object_detection/utils/visualization_utils.py:498: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.
Instructions for updating:
tf.py_func is deprecated in TF V2. Instead, there are two
options available in V2.
- tf.py_function takes a python function which manipulates tf eager
tensors instead of numpy arrays. It's easy to convert a tf eager tensor to
an ndarray (just call tensor.numpy()) but having access to eager tensors
means tf.py_functions can use accelerators such as GPUs as well as
being differentiable using a gradient tape.
- tf.numpy_function maintains the semantics of the deprecated tf.py_func
(it is not differentiable, and manipulates numpy arrays). It drops the
stateful argument making all functions stateful.

WARNING:tensorflow:From /content/models/research/object_detection/utils/visualization_utils.py:1044: The name tf.summary.image is deprecated. Please use tf.compat.v1.summary.image instead.

W0511 10:21:57.766836 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/utils/visualization_utils.py:1044: The name tf.summary.image is deprecated. Please use tf.compat.v1.summary.image instead.

WARNING:tensorflow:From /content/models/research/object_detection/model_lib.py:484: The name tf.metrics.mean is deprecated. Please use tf.compat.v1.metrics.mean instead.

W0511 10:21:57.838568 140627488786304 module_wrapper.py:139] From /content/models/research/object_detection/model_lib.py:484: The name tf.metrics.mean is deprecated. Please use tf.compat.v1.metrics.mean instead.

INFO:tensorflow:Done calling model_fn.
I0511 10:21:58.110285 140627488786304 estimator.py:1150] Done calling model_fn.
INFO:tensorflow:Starting evaluation at 2020-05-11T10:21:58Z
I0511 10:21:58.126506 140627488786304 evaluation.py:255] Starting evaluation at 2020-05-11T10:21:58Z
INFO:tensorflow:Graph was finalized.
I0511 10:21:58.554589 140627488786304 monitored_session.py:240] Graph was finalized.
2020-05-11 10:21:58.555942: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:21:58.556280: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties:
name: Tesla P4 major: 6 minor: 1 memoryClockRate(GHz): 1.1135
pciBusID: 0000:00:04.0
2020-05-11 10:21:58.556410: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-05-11 10:21:58.556447: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-05-11 10:21:58.556473: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-05-11 10:21:58.556502: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-05-11 10:21:58.556530: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-05-11 10:21:58.556553: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-05-11 10:21:58.556595: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-05-11 10:21:58.556686: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:21:58.557041: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:21:58.557322: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0
2020-05-11 10:21:58.557409: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-05-11 10:21:58.557427: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186] 0
2020-05-11 10:21:58.557443: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0: N
2020-05-11 10:21:58.557556: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:21:58.557903: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-05-11 10:21:58.558185: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7123 MB memory) -> physical GPU (device: 0, name: Tesla P4, pci bus id: 0000:00:04.0, compute capability: 6.1)
INFO:tensorflow:Restoring parameters from training/model.ckpt-1000
I0511 10:21:58.559201 140627488786304 saver.py:1284] Restoring parameters from training/model.ckpt-1000
INFO:tensorflow:Running local_init_op.
I0511 10:21:59.425379 140627488786304 session_manager.py:500] Running local_init_op.
INFO:tensorflow:Done running local_init_op.
I0511 10:21:59.552691 140627488786304 session_manager.py:502] Done running local_init_op.
INFO:tensorflow:Performing evaluation on 2 images.
I0511 10:22:01.669547 140623933605632 coco_evaluation.py:205] Performing evaluation on 2 images.
creating index...
index created!
INFO:tensorflow:Loading and preparing annotation results...
I0511 10:22:01.670031 140623933605632 coco_tools.py:115] Loading and preparing annotation results...
INFO:tensorflow:DONE (t=0.00s)
I0511 10:22:01.670426 140623933605632 coco_tools.py:137] DONE (t=0.00s)
creating index...
index created!
2020-05-11 10:22:01.682550: W tensorflow/core/framework/op_kernel.cc:1639] Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 384, in first_value_func
self._metrics = self.evaluate()

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 215, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/content/models/research/object_detection/metrics/coco_tools.py", line 176, in init
iouType=iou_type)

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)

File "<array_function internals>", line 6, in linspace

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))

TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.OutOfRangeError: End of sequence
[[{{node IteratorGetNext}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/evaluation.py", line 272, in _evaluate_once
session.run(eval_ops, feed_dict)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1360, in run
raise six.reraise(*original_exc_info)
File "/usr/local/lib/python3.6/dist-packages/six.py", line 693, in reraise
raise value
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1418, in run
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 1176, in run
return self._sess.run(*args, **kwargs)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.OutOfRangeError: End of sequence
[[node IteratorGetNext (defined at tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]

Original stack trace for 'IteratorGetNext':
File "content/models/research/object_detection/model_main.py", line 109, in
tf.app.run()
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "content/models/research/object_detection/model_main.py", line 105, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1495, in _train_with_estimator_spec
any_step_done = True
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 861, in exit
self._close_internal(exception_type)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 894, in _close_internal
h.end(self._coordinated_creator.tf_sess)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 600, in end
self._save(session, last_step)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 504, in _evaluate
self._evaluate_build_graph(input_fn, hooks, checkpoint_path))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1511, in _evaluate_build_graph
self._call_model_fn_eval(input_fn, self.config))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1544, in _call_model_fn_eval
input_fn, ModeKeys.EVAL)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1025, in _get_features_and_labels_from_input_fn
self._call_input_fn(input_fn, mode))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/util.py", line 65, in parse_input_fn_result
result = iterator.get_next()
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/data/ops/iterator_ops.py", line 426, in get_next
name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/gen_dataset_ops.py", line 2518, in iterator_get_next
output_shapes=output_shapes, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 1748, in init
self._traceback = tf_stack.extract_stack()

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 384, in first_value_func
self._metrics = self.evaluate()

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 215, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/content/models/research/object_detection/metrics/coco_tools.py", line 176, in init
iouType=iou_type)

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)

File "<array_function internals>", line 6, in linspace

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))

TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

 [[{{node PyFunc_3}}]]
 [[cond/Const/_2461]]

(1) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 384, in first_value_func
self._metrics = self.evaluate()

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 215, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/content/models/research/object_detection/metrics/coco_tools.py", line 176, in init
iouType=iou_type)

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)

File "<array_function internals>", line 6, in linspace

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))

TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

 [[{{node PyFunc_3}}]]

0 successful operations.
0 derived errors ignored.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/content/models/research/object_detection/model_main.py", line 109, in
tf.app.run()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "/content/models/research/object_detection/model_main.py", line 105, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1495, in _train_with_estimator_spec
any_step_done = True
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 861, in exit
self._close_internal(exception_type)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 894, in _close_internal
h.end(self._coordinated_creator.tf_sess)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 600, in end
self._save(session, last_step)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 511, in _evaluate
output_dir=self.eval_dir(name))
File "/tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1619, in _evaluate_run
config=self._session_config)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/evaluation.py", line 272, in _evaluate_once
session.run(eval_ops, feed_dict)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 861, in exit
self._close_internal(exception_type)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 894, in _close_internal
h.end(self._coordinated_creator.tf_sess)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 951, in end
self._final_ops, feed_dict=self._final_ops_feed_dict)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 384, in first_value_func
self._metrics = self.evaluate()

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 215, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/content/models/research/object_detection/metrics/coco_tools.py", line 176, in init
iouType=iou_type)

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)

File "<array_function internals>", line 6, in linspace

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))

TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

 [[node PyFunc_3 (defined at tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]
 [[cond/Const/_2461]]

(1) Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 117, in linspace
num = operator.index(num)

TypeError: 'numpy.float64' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 384, in first_value_func
self._metrics = self.evaluate()

File "/content/models/research/object_detection/metrics/coco_evaluation.py", line 215, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/content/models/research/object_detection/metrics/coco_tools.py", line 176, in init
iouType=iou_type)

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/usr/local/lib/python3.6/dist-packages/pycocotools/cocoeval.py", line 507, in setDetParams
self.iouThrs = np.linspace(.5, 0.95, np.round((0.95 - .5) / .05) + 1, endpoint=True)

File "<array_function internals>", line 6, in linspace

File "/usr/local/lib/python3.6/dist-packages/numpy/core/function_base.py", line 121, in linspace
.format(type(num)))

TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.

 [[node PyFunc_3 (defined at tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py:1748) ]]

0 successful operations.
0 derived errors ignored.

Original stack trace for 'PyFunc_3':
File "content/models/research/object_detection/model_main.py", line 109, in
tf.app.run()
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "content/models/research/object_detection/model_main.py", line 105, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1495, in _train_with_estimator_spec
any_step_done = True
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 861, in exit
self._close_internal(exception_type)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/monitored_session.py", line 894, in _close_internal
h.end(self._coordinated_creator.tf_sess)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 600, in end
self._save(session, last_step)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 504, in _evaluate
self._evaluate_build_graph(input_fn, hooks, checkpoint_path))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1511, in _evaluate_build_graph
self._call_model_fn_eval(input_fn, self.config))
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1547, in _call_model_fn_eval
features, labels, ModeKeys.EVAL, config)
File "tensorflow-1.15.2/python3.6/tensorflow_estimator/python/estimator/estimator.py", line 1149, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "content/models/research/object_detection/model_lib.py", line 482, in model_fn
eval_config, list(category_index.values()), eval_dict)
File "content/models/research/object_detection/eval_util.py", line 947, in get_eval_metric_ops_for_evaluators
eval_dict))
File "content/models/research/object_detection/metrics/coco_evaluation.py", line 394, in get_estimator_eval_metric_ops
first_value_op = tf.py_func(first_value_func, [], tf.float32)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 513, in py_func
return py_func_common(func, inp, Tout, stateful, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 495, in py_func_common
func=func, inp=inp, Tout=Tout, stateful=stateful, eager=False, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/script_ops.py", line 318, in _internal_py_func
input=inp, token=token, Tout=Tout, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/gen_script_ops.py", line 170, in py_func
"PyFunc", input=input, token=token, Tout=Tout, name=name)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/ops.py", line 1748, in init
self._traceback = tf_stack.extract_stack()

Dear sir, this workbook is excellent for people who are new to model training because it consists of all necessary steps.

I'm however unable to figure out how would I import saved checkpoint file from previous training session to continue model training over multiple sessions.

Thank You and best regards,
Edvard

Dear sir,

This repo is very useful for me. Thank you very much.

I want to convert the fine_tuned_models to tensorflowjs model.
I tried it, but does not work..

!tensorflowjs_converter --input_format=tf_frozen_model --output_node_names='final_result' --output_format=tensorflowjs --output_json='model.json' saved_model.pb ./web_model/

Using TensorFlow backend.
Traceback (most recent call last):
File "/usr/local/bin/tensorflowjs_converter", line 8, in
sys.exit(main())
File "/usr/local/lib/python3.6/dist-packages/tensorflowjs/converters/converter.py", line 358, in main
strip_debug_ops=FLAGS.strip_debug_ops)
File "/usr/local/lib/python3.6/dist-packages/tensorflowjs/converters/tf_saved_model_conversion.py", line 356, in convert_tf_frozen_model
graph = load_graph(frozen_model_path, output_node_names)
File "/usr/local/lib/python3.6/dist-packages/tensorflowjs/converters/tf_saved_model_conversion.py", line 69, in load_graph
graph_def.ParseFromString(f.read())
google.protobuf.message.DecodeError: Error parsing message

If you know how to convert, please let me know.
Best Regards

Processing triggers for man-db (2.8.3-2ubuntu0.1) ...
/content/models/research
2020-04-25 12:02:37.429554: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
Traceback (most recent call last):
File "object_detection/builders/model_builder_test.py", line 23, in
from object_detection.builders import model_builder
File "/content/models/research/object_detection/builders/model_builder.py", line 22, in
from object_detection.builders import box_predictor_builder
File "/content/models/research/object_detection/builders/box_predictor_builder.py", line 20, in
from object_detection.predictors import convolutional_box_predictor
File "/content/models/research/object_detection/predictors/convolutional_box_predictor.py", line 23, in
slim = tf.contrib.slim
AttributeError: module 'tensorflow' has no attribute 'contrib'

Kindly fix your jupyter notebook tensorflow_object_detection_training_colab.ipynb

After

!git clone --quiet https://github.com/tensorflow/models.git

do

%cd /content/models
!git checkout r1.13.0
%cd ../..

Hi Tony,
Can you add library version in requirement.txt for this project. It will be really helpful if you do so.
Thanks,
Ashish

/content/object_detection_demo
Successfully converted xml to csv.
Generate data/annotations/label_map.pbtxt
Successfully converted xml to csv.
WARNING:tensorflow:From generate_tfrecord.py:134: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.

WARNING:tensorflow:From generate_tfrecord.py:107: The name tf.python_io.TFRecordWriter is deprecated. Please use tf.io.TFRecordWriter instead.

W0511 15:40:04.288718 140147854571392 module_wrapper.py:139] From generate_tfrecord.py:107: The name tf.python_io.TFRecordWriter is deprecated. Please use tf.io.TFRecordWriter instead.

WARNING:tensorflow:From /content/models/research/object_detection/utils/label_map_util.py:138: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

W0511 15:40:04.297110 140147854571392 module_wrapper.py:139] From /content/models/research/object_detection/utils/label_map_util.py:138: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

Traceback (most recent call last):
File "generate_tfrecord.py", line 134, in
tf.app.run()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "generate_tfrecord.py", line 125, in main
tf_example = create_tf_example(group, path, label_map)
File "generate_tfrecord.py", line 54, in create_tf_example
encoded_jpg = fid.read()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/lib/io/file_io.py", line 122, in read
self._preread_check()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/lib/io/file_io.py", line 84, in _preread_check
compat.as_bytes(self.__name), 1024 * 512)
tensorflow.python.framework.errors_impl.NotFoundError: /content/object_detection_demo/data/images/train/IMG_20181228_101826.jpg; No such file or directory
WARNING:tensorflow:From generate_tfrecord.py:134: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.

WARNING:tensorflow:From generate_tfrecord.py:107: The name tf.python_io.TFRecordWriter is deprecated. Please use tf.io.TFRecordWriter instead.

W0511 15:40:10.106467 139824774215552 module_wrapper.py:139] From generate_tfrecord.py:107: The name tf.python_io.TFRecordWriter is deprecated. Please use tf.io.TFRecordWriter instead.

WARNING:tensorflow:From /content/models/research/object_detection/utils/label_map_util.py:138: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

W0511 15:40:10.115593 139824774215552 module_wrapper.py:139] From /content/models/research/object_detection/utils/label_map_util.py:138: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

Traceback (most recent call last):
File "generate_tfrecord.py", line 134, in
tf.app.run()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "generate_tfrecord.py", line 125, in main
tf_example = create_tf_example(group, path, label_map)
File "generate_tfrecord.py", line 54, in create_tf_example
encoded_jpg = fid.read()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/lib/io/file_io.py", line 122, in read
self._preread_check()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/lib/io/file_io.py", line 84, in _preread_check
compat.as_bytes(self.__name), 1024 * 512)
tensorflow.python.framework.errors_impl.NotFoundError: /content/object_detection_demo/data/images/test/IMG_20181228_102636.jpg; No such file or directory

Hi,

I just would like to try the demo, which you were presented, but during training

!python /content/models/research/object_detection/model_main.py
--pipeline_config_path={pipeline_fname}
--model_dir={model_dir}
--alsologtostderr
--num_train_steps={num_steps}
--num_eval_steps={num_eval_steps}

A got an error with only just click the running buttons. I did not changed anything, it is in read-only mode.

I got this error.

How can I solve this problem? Thank you.

There is an error when running the openvino_inference_benchmark.py file over the generated Intermediate Representation file (.xml and .bin):

line 115, in
assert len(net.inputs.keys()) == 1
AssertionError

Looking forward to recieving a help soon.

I can train with ssd_mobilenet_v2 but cannot train with faster_rcnn_inception_v2 or rfcn_resnet101
I got the below error.
Can any one help me! Thank you so much!

Traceback (most recent call last):
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/client/session.py", line 1365, in _do_call
    return fn(*args)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/client/session.py", line 1350, in _run_fn
    target_list, run_metadata)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
  (0) Invalid argument: Cannot add tensor to the batch: number of elements does not match. Shapes are: [tensor]: [289,1024,3], [batch]: [551,1024,3]
	 [[{{node IteratorGetNext}}]]
	 [[Loss/RPNLoss/Loss/huber_loss/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/num_invalid_dims/_6571]]
  (1) Invalid argument: Cannot add tensor to the batch: number of elements does not match. Shapes are: [tensor]: [289,1024,3], [batch]: [551,1024,3]
	 [[{{node IteratorGetNext}}]]

while running :
!python /content/models/research/object_detection/model_main.py
--pipeline_config_path={pipeline_fname}
--model_dir={model_dir}
--alsologtostderr
--num_train_steps={num_steps}
--num_eval_steps={num_eval_steps}

here's the outcome:
2021-08-04 06:55:58.798690: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
WARNING:tensorflow:Forced number of epochs for all eval validations to be 1.
W0804 06:56:01.288674 140036114126720 model_lib.py:817] Forced number of epochs for all eval validations to be 1.
INFO:tensorflow:Maybe overwriting train_steps: 1000
I0804 06:56:01.288900 140036114126720 config_util.py:552] Maybe overwriting train_steps: 1000
INFO:tensorflow:Maybe overwriting use_bfloat16: False
I0804 06:56:01.289011 140036114126720 config_util.py:552] Maybe overwriting use_bfloat16: False
INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: 1
I0804 06:56:01.289091 140036114126720 config_util.py:552] Maybe overwriting sample_1_of_n_eval_examples: 1
INFO:tensorflow:Maybe overwriting eval_num_epochs: 1
I0804 06:56:01.289172 140036114126720 config_util.py:552] Maybe overwriting eval_num_epochs: 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.
W0804 06:56:01.289274 140036114126720 model_lib.py:833] Expected number of evaluation epochs is 1, but instead encountered eval_on_train_input_config.num_epochs = 0. Overwriting num_epochs to 1.
Traceback (most recent call last):
File "/content/models/research/object_detection/model_main.py", line 108, in
tf.app.run()
File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 303, in run
_run_main(main, args)
File "/usr/local/lib/python3.7/dist-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "/content/models/research/object_detection/model_main.py", line 70, in main
FLAGS.sample_1_of_n_eval_on_train_examples))
File "/content/models/research/object_detection/model_lib.py", line 864, in create_estimator_and_inputs
model_config=model_config, predict_input_config=eval_input_configs[0])
IndexError: list index (0) out of range

hi,
thanks for your tutorial ans colab notebook, could u please assist me to get accuracy while training the model, as of now only loss is printing at every 100 step.

During training the model when I run this code
!python /content/models/research/object_detection/model_main.py
--pipeline_config_path={pipeline_fname}
--model_dir={model_dir}
--alsologtostderr
--num_train_steps={num_steps}
--num_eval_steps={num_eval_steps}
I am getting the following error "ValueError: faster_rcnn_inception_v2 is not supported. See model_builder.py for features extractors compatible with different versions of Tensorflow" . Please resolve this issue.

Please help us to get started with infering in video file or web camera

closed

I follows the entire tutorial and was able to generate a model as well. But was not able able to generate the LabelMaps.txt. Can you kindly tell how to do that??

Thanks for the notebook.

The "Install required packages" step fails in Google Colab with the above error. Any ideas? TIA

Setting up python-html5lib (0.999999999-1) ...
Processing triggers for man-db (2.8.3-2ubuntu0.1) ...
/content/models/research
object_detection/protos/input_reader.proto: warning: Import object_detection/protos/image_resizer.proto but not used.
2020-07-08 21:34:28.642960: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
Traceback (most recent call last):
File "object_detection/builders/model_builder_test.py", line 21, in
from object_detection.builders import model_builder
File "/content/models/research/object_detection/builders/model_builder.py", line 19, in
from object_detection.builders import anchor_generator_builder
File "/content/models/research/object_detection/builders/anchor_generator_builder.py", line 23, in
from object_detection.anchor_generators import flexible_grid_anchor_generator
File "/content/models/research/object_detection/anchor_generators/flexible_grid_anchor_generator.py", line 19, in
from object_detection.anchor_generators import grid_anchor_generator
File "/content/models/research/object_detection/anchor_generators/grid_anchor_generator.py", line 27, in
from object_detection.utils import ops
File "/content/models/research/object_detection/utils/ops.py", line 28, in
import tf_slim as slim
ModuleNotFoundError: No module named 'tf_slim'

Hi @Tony607,
I tried to convert your TF model to Openvino but when i launch the script to convert the model this error is returned:

[ ERROR ] Cannot infer shapes or values for node "Postprocessor/ToFloat".

there is a issue coming while run time that there are 2 issues which are :

Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: Cannot add tensor to the batch: number of elements does not match. Shapes are: [tensor]: [576,1024,3], [batch]: [800,600,3]
[[{{node IteratorGetNext}}]]
[[BalancedPositiveNegativeSampler_4/RandomShuffle/_6625]]
(1) Invalid argument: Cannot add tensor to the batch: number of elements does not match. Shapes are: [tensor]: [576,1024,3], [batch]: [800,600,3]
[[{{node IteratorGetNext}}]]
0 successful operations.
0 derived errors ignored.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/content/models/research/object_detection/model_main.py", line 108, in
tf.app.run()
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 300, in run
_run_main(main, args)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "/content/models/research/object_detection/model_main.py", line 104, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1494, in _train_with_estimator_spec
_, loss = mon_sess.run([estimator_spec.train_op, estimator_spec.loss])
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1360, in run
raise six.reraise(*original_exc_info)
File "/usr/local/lib/python3.6/dist-packages/six.py", line 703, in reraise
raise value
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1418, in run
run_metadata=run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/training/monitored_session.py", line 1176, in run
return self._sess.run(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: Cannot add tensor to the batch: number of elements does not match. Shapes are: [tensor]: [576,1024,3], [batch]: [800,600,3]
[[node IteratorGetNext (defined at usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py:1748) ]]
[[BalancedPositiveNegativeSampler_4/RandomShuffle/_6625]]
(1) Invalid argument: Cannot add tensor to the batch: number of elements does not match. Shapes are: [tensor]: [576,1024,3], [batch]: [800,600,3]
[[node IteratorGetNext (defined at usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py:1748) ]]
0 successful operations.
0 derived errors ignored.

Original stack trace for 'IteratorGetNext':
File "content/models/research/object_detection/model_main.py", line 108, in
tf.app.run()
File "usr/local/lib/python3.6/dist-packages/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 300, in run
_run_main(main, args)
File "usr/local/lib/python3.6/dist-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "content/models/research/object_detection/model_main.py", line 104, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1188, in _train_model_default
input_fn, ModeKeys.TRAIN))
File "usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/estimator.py", line 1025, in _get_features_and_labels_from_input_fn
self._call_input_fn(input_fn, mode))
File "usr/local/lib/python3.6/dist-packages/tensorflow_estimator/python/estimator/util.py", line 65, in parse_input_fn_result
result = iterator.get_next()
File "usr/local/lib/python3.6/dist-packages/tensorflow_core/python/data/ops/iterator_ops.py", line 426, in get_next
name=name)
File "usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/gen_dataset_ops.py", line 2518, in iterator_get_next
output_shapes=output_shapes, name=name)
File "usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "usr/local/lib/python3.6/dist-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/ops.py", line 1748, in init
self._traceback = tf_stack.extract_stack()

ModuleNotFoundError: No module named 'lvis'

Hi!
I tried to run the provided colab with small modification but using the data provided in the colab, because otherwise it does not run: just adding %tensorflow_version 1.x, and !pip install tf_slim.
The training runs ok, but when I run the inference no bounding boxes are drawn on the images. Do you have any idea why these happens?
If I print out output_dict['detection_boxes'], I see a lot of coordinates, but are all below 1.

good day!
i found when i test your cord
look at the error massege
occurred some error
in Configuring a Training Pipeline

AttributeError Traceback (most recent call last)
in ()
1 import re
----> 2 num_classes = get_num_classes(label_map_pbtxt_fname)
3 filename = '/content/models/research/object_detection/samples/configs/faster_rcnn_inception_v2_pets.config'
4 with open(pipeline_fname) as f:
5 s = f.read()

1 frames
/content/models/research/object_detection/utils/label_map_util.py in load_labelmap(path)
136 a StringIntLabelMapProto
137 """
--> 138 with tf.gfile.GFile(path, 'r') as fid:
139 label_map_string = fid.read()
140 label_map = string_int_label_map_pb2.StringIntLabelMap()

AttributeError: module 'tensorflow' has no attribute 'gfile'

`import re
num_classes = get_num_classes(label_map_pbtxt_fname)
filename = '/content/models/research/object_detection/samples/configs/faster_rcnn_inception_v2_pets.config'
with open(pipeline_fname) as f:
s = f.read()
with open(pipeline_fname, 'w') as f:

# fine_tune_checkpoint
s = re.sub('fine_tune_checkpoint: ".*?"',
           'fine_tune_checkpoint: "{}"'.format(fine_tune_checkpoint), s)

# tfrecord files train and test.
s = re.sub(
    '(input_path: ".*?)(train.record)(.*?")', 'input_path: "{}"'.format(train_record_fname), s)
s = re.sub(
    '(input_path: ".*?)(val.record)(.*?")', 'input_path: "{}"'.format(test_record_fname), s)

# label_map_path
s = re.sub(
    'label_map_path: ".*?"', 'label_map_path: "{}"'.format(label_map_pbtxt_fname), s)

# Set training batch_size.
s = re.sub('batch_size: [0-9]+',
           'batch_size: {}'.format(batch_size), s)

# Set training steps, num_steps
s = re.sub('num_steps: [0-9]+',
           'num_steps: {}'.format(num_steps), s)

# Set number of classes num_classes.
s = re.sub('num_classes: [0-9]+',
           'num_classes: {}'.format(num_classes), s)
f.write(s)`