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tensorflow
Eval error: UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
Prerequisites
Please answer the following questions for yourself before submitting an issue.
- [ ] I am using the latest TensorFlow Model Garden release and TensorFlow 2(using tf1 and a model from the garden for tf1).
- [x] I am reporting the issue to the correct repository. (Model Garden official or research directory)
- [x] I checked to make sure that this issue has not already been filed.
1. The entire URL of the file you are using
https://github.com/tensorflow/models/blob/master/research/object_detection/model_main.py
2. Describe the bug
Evaluation doesn't accept unicode characters but training does
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/PIL/ImageFont.py", line 128, in getsize
return self.font.getsize(text)
UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
[[node map_1/while/PyFunc (defined at /home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py:1748) ]]
[[Postprocessor/BatchMultiClassNonMaxSuppression/MultiClassNonMaxSuppression/non_max_suppression_with_scores_16/NonMaxSuppressionV5/_2543]]
0 successful operations.
0 derived errors ignored.
3. Steps to reproduce
While training with a custom dataset that contains unicode characters the training works ok till a checkpoint is saved and evaluated then this error shows. run training with custom dataset using model_train.py that has Arabic labels (tf1.15)
4. Expected behavior
Expected training to run through all steps and not crashing at checkpoint evaluation.
5. Additional context
2020-09-23 17:42:02.046396: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2020-09-23 17:42:02.051500: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-09-23 17:42:02.051549: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0
2020-09-23 17:42:02.051758: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N
2020-09-23 17:42:02.054590: 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
2020-09-23 17:42:02.054801: 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
2020-09-23 17:42:02.054985: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6738 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2060 SUPER, pci bus id: 0000:01:00.0, compute capability: 7.5)
INFO:tensorflow:Restoring parameters from /home/mai/ssd_ckpt/tf1_fine_tuning_vehicle/6.25k_steps_frz_var/train/model.ckpt-872
I0923 17:42:02.059047 139873538410304 saver.py:1284] Restoring parameters from /home/mai/ssd_ckpt/tf1_fine_tuning_vehicle/6.25k_steps_frz_var/train/model.ckpt-872
INFO:tensorflow:Running local_init_op.
I0923 17:42:03.378439 139873538410304 session_manager.py:500] Running local_init_op.
INFO:tensorflow:Done running local_init_op.
I0923 17:42:03.507816 139873538410304 session_manager.py:502] Done running local_init_op.
2020-09-23 17:42:05.991016: W tensorflow/core/framework/op_kernel.cc:1639] Invalid argument: UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
Traceback (most recent call last):
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/script_ops.py", line 235, in __call__
ret = func(*args)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 407, in visualization_py_func_fn
**kwargs)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 1239, in visualize_boxes_and_labels_on_image_array
use_normalized_coordinates=use_normalized_coordinates)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 162, in draw_bounding_box_on_image_array
use_normalized_coordinates)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 219, in draw_bounding_box_on_image
display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 219, in <listcomp>
display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/PIL/ImageFont.py", line 128, in getsize
return self.font.getsize(text)
UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
Traceback (most recent call last):
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-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: UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
Traceback (most recent call last):
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/script_ops.py", line 235, in __call__
ret = func(*args)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 407, in visualization_py_func_fn
**kwargs)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 1239, in visualize_boxes_and_labels_on_image_array
use_normalized_coordinates=use_normalized_coordinates)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 162, in draw_bounding_box_on_image_array
use_normalized_coordinates)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 219, in draw_bounding_box_on_image
display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 219, in <listcomp>
display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/PIL/ImageFont.py", line 128, in getsize
return self.font.getsize(text)
UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
[[{{node map_1/while/PyFunc}}]]
(1) Invalid argument: UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
Traceback (most recent call last):
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/script_ops.py", line 235, in __call__
ret = func(*args)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 407, in visualization_py_func_fn
**kwargs)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 1239, in visualize_boxes_and_labels_on_image_array
use_normalized_coordinates=use_normalized_coordinates)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 162, in draw_bounding_box_on_image_array
use_normalized_coordinates)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 219, in draw_bounding_box_on_image
display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 219, in <listcomp>
display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/PIL/ImageFont.py", line 128, in getsize
return self.font.getsize(text)
UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
[[{{node map_1/while/PyFunc}}]]
[[Postprocessor/BatchMultiClassNonMaxSuppression/MultiClassNonMaxSuppression/non_max_suppression_with_scores_20/NonMaxSuppressionV5/_2561]]
0 successful operations.
0 derived errors ignored.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "./object_detection/model_main.py", line 119, in <module>
tf.app.run()
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/site-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "./object_detection/model_main.py", line 104, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1360, in run
raise six.reraise(*original_exc_info)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/six.py", line 703, in reraise
raise value
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1426, in run
run_metadata=run_metadata))
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 511, in _evaluate
output_dir=self.eval_dir(name))
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1619, in _evaluate_run
config=self._session_config)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/evaluation.py", line 272, in _evaluate_once
session.run(eval_ops, feed_dict)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1360, in run
raise six.reraise(*original_exc_info)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/six.py", line 703, in reraise
raise value
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1418, in run
run_metadata=run_metadata)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1176, in run
return self._sess.run(*args, **kwargs)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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: 2 root error(s) found.
(0) Invalid argument: UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
Traceback (most recent call last):
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/script_ops.py", line 235, in __call__
ret = func(*args)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 407, in visualization_py_func_fn
**kwargs)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 1239, in visualize_boxes_and_labels_on_image_array
use_normalized_coordinates=use_normalized_coordinates)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 162, in draw_bounding_box_on_image_array
use_normalized_coordinates)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 219, in draw_bounding_box_on_image
display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 219, in <listcomp>
display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/PIL/ImageFont.py", line 128, in getsize
return self.font.getsize(text)
UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
[[node map_1/while/PyFunc (defined at /home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py:1748) ]]
(1) Invalid argument: UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
Traceback (most recent call last):
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/script_ops.py", line 235, in __call__
ret = func(*args)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 407, in visualization_py_func_fn
**kwargs)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 1239, in visualize_boxes_and_labels_on_image_array
use_normalized_coordinates=use_normalized_coordinates)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 162, in draw_bounding_box_on_image_array
use_normalized_coordinates)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 219, in draw_bounding_box_on_image
display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 219, in <listcomp>
display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/PIL/ImageFont.py", line 128, in getsize
return self.font.getsize(text)
UnicodeEncodeError: 'latin-1' codec can't encode character '\u062d' in position 0: ordinal not in range(256)
[[node map_1/while/PyFunc (defined at /home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py:1748) ]]
[[Postprocessor/BatchMultiClassNonMaxSuppression/MultiClassNonMaxSuppression/non_max_suppression_with_scores_20/NonMaxSuppressionV5/_2561]]
0 successful operations.
0 derived errors ignored.
Original stack trace for 'map_1/while/PyFunc':
File "./object_detection/model_main.py", line 119, in <module>
tf.app.run()
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/site-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "./object_detection/model_main.py", line 104, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 370, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1195, in _train_model_default
saving_listeners)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 754, in run
run_metadata=run_metadata)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1259, in run
run_metadata=run_metadata)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1345, in run
return self._sess.run(*args, **kwargs)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/monitored_session.py", line 1426, in run
run_metadata=run_metadata))
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/training/basic_session_run_hooks.py", line 619, in _save
if l.after_save(session, step):
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 519, in after_save
self._evaluate(global_step_value) # updates self.eval_result
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 539, in _evaluate
self._evaluator.evaluate_and_export())
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/training.py", line 920, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 480, in evaluate
name=name)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 522, in _actual_eval
return _evaluate()
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 504, in _evaluate
self._evaluate_build_graph(input_fn, hooks, checkpoint_path))
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1547, in _call_model_fn_eval
features, labels, ModeKeys.EVAL, config)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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/mai/models/research/object_detection/model_lib.py", line 620, in model_fn
eval_dict)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 1426, in get_estimator_eval_metric_ops
images = self.images_from_evaluation_dict(eval_dict)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 1498, in images_from_evaluation_dict
self._keypoint_edges)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 752, in draw_side_by_side_evaluation_image
use_normalized_coordinates=use_normalized_coordinates)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 621, in draw_bounding_boxes_on_image_tensors
images = tf.map_fn(draw_boxes, elems, dtype=tf.uint8, back_prop=False)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/map_fn.py", line 268, in map_fn
maximum_iterations=n)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/control_flow_ops.py", line 2753, in while_loop
return_same_structure)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/control_flow_ops.py", line 2245, in BuildLoop
pred, body, original_loop_vars, loop_vars, shape_invariants)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/control_flow_ops.py", line 2170, in _BuildLoop
body_result = body(*packed_vars_for_body)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/control_flow_ops.py", line 2705, in <lambda>
body = lambda i, lv: (i + 1, orig_body(*lv))
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/ops/map_fn.py", line 257, in compute
packed_fn_values = fn(packed_values)
File "/home/mai/models/research/object_detection/utils/visualization_utils.py", line 618, in draw_boxes
tf.uint8)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/util/deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/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/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/op_def_library.py", line 794, in _apply_op_helper
op_def=op_def)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py", line 3357, in create_op
attrs, op_def, compute_device)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py", line 3426, in _create_op_internal
op_def=op_def)
File "/home/mai/anaconda3/envs/tf/lib/python3.6/site-packages/tensorflow_core/python/framework/ops.py", line 1748, in __init__
self._traceback = tf_stack.extract_stack()
6. System information
- OS Platform and Distribution (e.g., Linux Ubuntu 186.04):
- Mobile device name if the issue happens on a mobile device:
- TensorFlow installed from (source or binary): binary using conda install
- TensorFlow version (use command below): tensorflow-gpu==1.15
- Python version: 3.6
- Bazel version (if compiling from source):
- GCC/Compiler version (if compiling from source):
- CUDA/cuDNN version: 10.0/7.6.5
- GPU model and memory: GeForce RTX 2060 super 8 GB
@Maioy97
Please refer link1 , link2 and see if it helps you. If your issue was not resolved,please share colab link or simple standalone code with supporting files to reproduce the issue in our environment.It helps us in localizing the issue faster.Thanks!
I've seen the solutions with encoding but my main problem is not being able to pinpoint where the data is read so I can add that since I'm using the given file: model_main.py
I'm having the same problem
I think it's PIL/ImageFont.py ( pandas) problem.
