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

[TekayaNidham]

System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow):

• OS Platform and Distribution : Linux Ubuntu 18.04

• TensorFlow installed from (source or binary): binary

• TensorFlow version (use command below): 1.15.0

• Python version: 3.7.4

• CUDA/cuDNN version: 10.2

• GPU model and memory: GeForce GTX 1050

Describe the current behavior
hey guys, i'm trying to train an object detection 3 classes model using resnet101 faster rcnn using model_main.py from object detection api,
label map :

item {
  id: 1
  name: 'ooredoo'
  id: 2
  name: 'tt'
  id: 3
  name: 'orange'
}

config file :

# Faster R-CNN with Resnet-101 (v1), configuration for MSCOCO Dataset.
# Users should configure the fine_tune_checkpoint field in the train config as
# well as the label_map_path and input_path fields in the train_input_reader and
# eval_input_reader. Search for "PATH_TO_BE_CONFIGURED" to find the fields that
# should be configured.

model {
  faster_rcnn {
    num_classes: 3
    image_resizer {
      keep_aspect_ratio_resizer {
        min_dimension: 600
        max_dimension: 1024
      }
    }
    feature_extractor {
      type: 'faster_rcnn_resnet101'
      first_stage_features_stride: 16
    }
    first_stage_anchor_generator {
      grid_anchor_generator {
        scales: [0.25, 0.5, 1.0, 2.0]
        aspect_ratios: [0.5, 1.0, 2.0]
        height_stride: 16
        width_stride: 16
      }
    }
    first_stage_box_predictor_conv_hyperparams {
      op: CONV
      regularizer {
        l2_regularizer {
          weight: 0.0
        }
      }
      initializer {
        truncated_normal_initializer {
          stddev: 0.01
        }
      }
    }
    first_stage_nms_score_threshold: 0.0
    first_stage_nms_iou_threshold: 0.7
    first_stage_max_proposals: 300
    first_stage_localization_loss_weight: 2.0
    first_stage_objectness_loss_weight: 1.0
    initial_crop_size: 14
    maxpool_kernel_size: 2
    maxpool_stride: 2
    second_stage_box_predictor {
      mask_rcnn_box_predictor {
        use_dropout: false
        dropout_keep_probability: 1.0
        fc_hyperparams {
          op: FC
          regularizer {
            l2_regularizer {
              weight: 0.0
            }
          }
          initializer {
            variance_scaling_initializer {
              factor: 1.0
              uniform: true
              mode: FAN_AVG
            }
          }
        }
      }
    }
    second_stage_post_processing {
      batch_non_max_suppression {
        score_threshold: 0.0
        iou_threshold: 0.6
        max_detections_per_class: 100
        max_total_detections: 300
      }
      score_converter: SOFTMAX
    }
    second_stage_localization_loss_weight: 2.0
    second_stage_classification_loss_weight: 1.0
  }
}

train_config: {
  batch_size: 1
  optimizer {
    momentum_optimizer: {
      learning_rate: {
        manual_step_learning_rate {
          initial_learning_rate: 0.0003
          schedule {
            step: 300
            learning_rate: .00003
          }
          schedule {
            step: 600
            learning_rate: .000003
          }
        }
      }
      momentum_optimizer_value: 0.9
    }
    use_moving_average: false
  }
  gradient_clipping_by_norm: 10.0
  fine_tune_checkpoint: "faster_rcnn_resnet101_coco_2018_01_28/model.ckpt"
  from_detection_checkpoint: true
  data_augmentation_options {
    random_horizontal_flip {
    }
  }
}

train_input_reader: {
  tf_record_input_reader {
    input_path: "data/train.record"
  }
  label_map_path: "data/comm.pbtxt"
}

eval_config: {
  num_examples: 22
  # Note: The below line limits the evaluation process to 10 evaluations.
  # Remove the below line to evaluate indefinitely.
  max_evals: 10
}

eval_input_reader: {
  tf_record_input_reader {
    input_path: "data/test.record"
  }
  label_map_path: "data/comm.pbtxt"
  shuffle: false
  num_readers: 1
}

20-05-26 21:46:32.527504: 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 "/home/milos/anaconda3/lib/python3.7/site-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 "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/home/milos/Documents/research/object_detection/object_detection/metrics/coco_evaluation.py", line 415, in first_value_func
self._metrics = self.evaluate()

File "/home/milos/Documents/research/object_detection/object_detection/metrics/coco_evaluation.py", line 246, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/home/milos/Documents/research/object_detection/object_detection/metrics/coco_tools.py", line 177, in init
cocoeval.COCOeval.init(self, groundtruth, detections, iouType=iou_type)

File "/home/milos/.local/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/home/milos/.local/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/home/milos/.local/lib/python3.7/site-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 "/home/milos/anaconda3/lib/python3.7/site-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 "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/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 "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/evaluation.py", line 272, in _evaluate_once
session.run(eval_ops, feed_dict)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1360, in run
raise six.reraise(*original_exc_info)
File "/home/milos/anaconda3/lib/python3.7/site-packages/six.py", line 703, in reraise
raise value
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1418, in run
run_metadata=run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1176, in run
return self._sess.run(*args, **kwargs)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/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 /home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1748) ]]

Original stack trace for 'IteratorGetNext':
File "model_main.py", line 111, in
tf.app.run()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/home/milos/anaconda3/lib/python3.7/site-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/home/milos/anaconda3/lib/python3.7/site-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "model_main.py", line 107, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-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 "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1426, in run
run_metadata=run_metadata))
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/basic_session_run_hooks.py", line 594, in after_run
if self._save(run_context.session, global_step):
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 504, in _evaluate
self._evaluate_build_graph(input_fn, hooks, checkpoint_path))
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1511, in _evaluate_build_graph
self._call_model_fn_eval(input_fn, self.config))
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1544, in _call_model_fn_eval
input_fn, ModeKeys.EVAL)
File "/home/milos/anaconda3/lib/python3.7/site-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 "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/util.py", line 65, in parse_input_fn_result
result = iterator.get_next()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/data/ops/iterator_ops.py", line 426, in get_next
name=name)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/gen_dataset_ops.py", line 2518, in iterator_get_next
output_shapes=output_shapes, name=name)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "/home/milos/anaconda3/lib/python3.7/site-packages/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 "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/home/milos/anaconda3/lib/python3.7/site-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 "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/home/milos/Documents/research/object_detection/object_detection/metrics/coco_evaluation.py", line 415, in first_value_func
self._metrics = self.evaluate()

File "/home/milos/Documents/research/object_detection/object_detection/metrics/coco_evaluation.py", line 246, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/home/milos/Documents/research/object_detection/object_detection/metrics/coco_tools.py", line 177, in init
cocoeval.COCOeval.init(self, groundtruth, detections, iouType=iou_type)

File "/home/milos/.local/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/home/milos/.local/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/home/milos/.local/lib/python3.7/site-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 "/home/milos/anaconda3/lib/python3.7/site-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}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "model_main.py", line 111, in
tf.app.run()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/home/milos/anaconda3/lib/python3.7/site-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/home/milos/anaconda3/lib/python3.7/site-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "model_main.py", line 107, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-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 "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1360, in run
raise six.reraise(*original_exc_info)
File "/home/milos/anaconda3/lib/python3.7/site-packages/six.py", line 703, in reraise
raise value
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1426, in run
run_metadata=run_metadata))
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/basic_session_run_hooks.py", line 594, in after_run
if self._save(run_context.session, global_step):
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 511, in _evaluate
output_dir=self.eval_dir(name))
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1619, in _evaluate_run
config=self._session_config)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/evaluation.py", line 272, in _evaluate_once
session.run(eval_ops, feed_dict)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 861, in exit
self._close_internal(exception_type)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 894, in _close_internal
h.end(self._coordinated_creator.tf_sess)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/basic_session_run_hooks.py", line 951, in end
self._final_ops, feed_dict=self._final_ops_feed_dict)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-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: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
Traceback (most recent call last):

File "/home/milos/anaconda3/lib/python3.7/site-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 "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/script_ops.py", line 235, in call
ret = func(*args)

File "/home/milos/Documents/research/object_detection/object_detection/metrics/coco_evaluation.py", line 415, in first_value_func
self._metrics = self.evaluate()

File "/home/milos/Documents/research/object_detection/object_detection/metrics/coco_evaluation.py", line 246, in evaluate
coco_wrapped_groundtruth, coco_wrapped_detections, agnostic_mode=False)

File "/home/milos/Documents/research/object_detection/object_detection/metrics/coco_tools.py", line 177, in init
cocoeval.COCOeval.init(self, groundtruth, detections, iouType=iou_type)

File "/home/milos/.local/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 76, in init
self.params = Params(iouType=iouType) # parameters

File "/home/milos/.local/lib/python3.7/site-packages/pycocotools/cocoeval.py", line 527, in init
self.setDetParams()

File "/home/milos/.local/lib/python3.7/site-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 "/home/milos/anaconda3/lib/python3.7/site-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 /home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1748) ]]

Original stack trace for 'PyFunc_3':
File "model_main.py", line 111, in
tf.app.run()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/home/milos/anaconda3/lib/python3.7/site-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/home/milos/anaconda3/lib/python3.7/site-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "model_main.py", line 107, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1161, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "/home/milos/anaconda3/lib/python3.7/site-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 "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1426, in run
run_metadata=run_metadata))
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/basic_session_run_hooks.py", line 594, in after_run
if self._save(run_context.session, global_step):
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 504, in _evaluate
self._evaluate_build_graph(input_fn, hooks, checkpoint_path))
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1511, in _evaluate_build_graph
self._call_model_fn_eval(input_fn, self.config))
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1547, in _call_model_fn_eval
features, labels, ModeKeys.EVAL, config)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1149, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "/home/milos/Documents/research/object_detection/object_detection/model_lib.py", line 539, in model_fn
eval_config, list(category_index.values()), eval_dict)
File "/home/milos/Documents/research/object_detection/object_detection/eval_util.py", line 1034, in get_eval_metric_ops_for_evaluators
eval_dict))
File "/home/milos/Documents/research/object_detection/object_detection/metrics/coco_evaluation.py", line 425, in get_estimator_eval_metric_ops
first_value_op = tf.py_func(first_value_func, [], tf.float32)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/script_ops.py", line 513, in py_func
return py_func_common(func, inp, Tout, stateful, name=name)
File "/home/milos/anaconda3/lib/python3.7/site-packages/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 "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/script_ops.py", line 318, in _internal_py_func
input=inp, token=token, Tout=Tout, name=name)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/ops/gen_script_ops.py", line 170, in py_func
"PyFunc", input=input, token=token, Tout=Tout, name=name)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "/home/milos/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 1748, in init
self._traceback = tf_stack.extract_stack()

ps : using labelImg to csv then to tf records

this is the code i'm using for to_csv :

import os
import glob
import pandas as pd
import xml.etree.ElementTree as ET


def xml_to_csv(path):
    xml_list = []
    for xml_file in glob.glob(path + '/*.xml'):
        tree = ET.parse(xml_file)
        root = tree.getroot()
        for member in root.findall('object'):
            value = (root.find('filename').text,
                     int(root.find('size')[0].text),
                     int(root.find('size')[1].text),
                     member[0].text,
                     int(member[4][0].text),
                     int(member[4][1].text),
                     int(member[4][2].text),
                     int(member[4][3].text)
                     )
            xml_list.append(value)
    column_name = ['filename', 'width', 'height', 'class', 'xmin', 'ymin', 'xmax', 'ymax']
    xml_df = pd.DataFrame(xml_list, columns=column_name)
    return xml_df


def main():
  for directory in ['train','test'] :
    image_path = os.path.join(os.getcwd(), 'images/{}'.format(directory))
    xml_df = xml_to_csv(image_path)
    xml_df.to_csv('data/{}_labels.csv'.format(directory), index=None)
    print('Successfully converted xml to csv.')


main()

code to generate tfrecords:

"""
Usage:
  # From tensorflow/models/
  # Create train data:
  python generate_tfrecord.py --csv_input=data/train_labels.csv  --output_path=train.record

  # Create test data:
  python generate_tfrecord.py --csv_input=data/test_labels.csv  --output_path=test.record
"""
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import

import os
import io
import pandas as pd
import tensorflow as tf

from PIL import Image
from object_detection.utils import dataset_util
from collections import namedtuple, OrderedDict

flags = tf.app.flags
flags.DEFINE_string('csv_input', '', 'Path to the CSV input')
flags.DEFINE_string('output_path', '', 'Path to output TFRecord')
flags.DEFINE_string('image_dir', '', 'Path to images')
FLAGS = flags.FLAGS


# TO-DO replace this with label map
def class_text_to_int(row_label):
    if row_label == 'ooredoo':
        return 1
    elif row_label == 'tt' :
        return 2
    elif row_label == 'orange' :
        return 3
    else:
        None


def split(df, group):
    data = namedtuple('data', ['filename', 'object'])
    gb = df.groupby(group)
    return [data(filename, gb.get_group(x)) for filename, x in zip(gb.groups.keys(), gb.groups)]


def create_tf_example(group, path):
    with tf.gfile.GFile(os.path.join(path, '{}'.format(group.filename)), 'rb') as fid:
        encoded_jpg = fid.read()
    encoded_jpg_io = io.BytesIO(encoded_jpg)
    image = Image.open(encoded_jpg_io)
    width, height = image.size

    filename = group.filename.encode('utf8')
    image_format = b'jpg'
    xmins = []
    xmaxs = []
    ymins = []
    ymaxs = []
    classes_text = []
    classes = []

    for index, row in group.object.iterrows():
        xmins.append(row['xmin'] / width)
        xmaxs.append(row['xmax'] / width)
        ymins.append(row['ymin'] / height)
        ymaxs.append(row['ymax'] / height)
        classes_text.append(row['class'].encode('utf8'))
        classes.append(class_text_to_int(row['class']))

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


def main(_):
    writer = tf.python_io.TFRecordWriter(FLAGS.output_path)
    path = os.path.join(FLAGS.image_dir)
    examples = pd.read_csv(FLAGS.csv_input)
    grouped = split(examples, 'filename')
    for group in grouped:
        tf_example = create_tf_example(group, path)
        writer.write(tf_example.SerializeToString())

    writer.close()
    output_path = os.path.join(os.getcwd(), FLAGS.output_path)
    print('Successfully created the TFRecords: {}'.format(output_path))


if __name__ == '__main__':
    tf.app.run()

i know it's index related and i can't figure out a way to solve it

[Piyush983]

Try to install numpy 1.11.0 sudo pip install -U numpy==1.11.0.
It is caused by an unsupported float index in 1.12.0.
The ability to use floating-point indices was deprecated for a bit; It was finally removed in 1.12

[sraimund]

I ran into the same issue since I'm using a fork from the COCO API for Windows where this issue has been reported (philferriere/cocoapi#9). When applying the changes from the pull request, then it worked again. The issue seems to be already fixed in the official repository (cocodataset/cocoapi#354).

[TekayaNidham]

downgraded to numpy 1.17 and it worked