Models: TypeError: 'InputReader' object does not support indexing in object_detection

[leccyril]

Please go to Stack Overflow for help and support:

http://stackoverflow.com/questions/tagged/tensorflow

Also, please understand that many of the models included in this repository are experimental and research-style code. If you open a GitHub issue, here is our policy:

System information

• What is the top-level directory of the model you are using:

_object_detection_

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

_No_

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):

_Debian 9_

• TensorFlow installed from (source or binary):

_intalled from github source_

• TensorFlow version (use command below):

_1.8.0 (updated from git today)_

• Bazel version (if compiling from source):
• CUDA/cuDNN version:
• GPU model and memory:
• Exact command to reproduce:

_python legacy/train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config_

Describe the problem

train is not working anymore from github tensorflow last update

Source code / logs

WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py:126: main (from __main__) is deprecated and will be removed in a future version.
Instructions for updating:
Use object_detection/model_main.py.
Traceback (most recent call last):
File "legacy/train.py", line 184, in
tf.app.run()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/deprecation.py", line 250, in new_func
return func(args, *kwargs)
File "legacy/train.py", line 93, in main
FLAGS.pipeline_config_path)
File "/home/tensorflow/models/research/object_detection/utils/config_util.py", line 99, in get_configs_from_pipeline_file
return create_configs_from_pipeline_proto(pipeline_config)
File "/home/tensorflow/models/research/object_detection/utils/config_util.py", line 123, in create_configs_from_pipeline_proto
configs["eval_input_config"] = configs["eval_input_configs"][0]
TypeError: 'InputReader' object does not support indexing

[canguro0335]

Hi!!
Similar issue.
Thank you!!

System information

What is the top-level directory of the model you are using: 
                   object_detection

Have I written custom code (as opposed to using a stock example script provided in TensorFlow): 
                   No

OS Platform and Distribution (e.g., Linux Ubuntu 16.04): 
                   Windows 10

TensorFlow installed from (source or binary): 
             last binary Miniconda pip install : tensorflow 1.12.0 / tensorflow-gpu  1.12.0
             Python 3.6.5 :: Anaconda, Inc.

TensorFlow version (use command below): 
             tensorflow 1.12.0 / tensorflow-gpu 1.12.0
             tensorflow models from Github (https://github.com/tensorflow/models) master branch 5 day ago 

Bazel version (if compiling from source):

CUDA/cuDNN version: 
               9.0
GPU model and memory: 
               GTX 1080 / 8Gb
Exact command to reproduce:

python legacy\train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config

Describe the problem

train is not working for faster_rcnn_inception_v2 model

Source code / logs

D:\imgdetect\models\research\object_detection>python legacytrain.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config
WARNING:tensorflow:From C:\Miniconda3lib\site-packagestensorflowpythonplatformapp.py:125: main (from __main__) is deprecated and will be removed in a future version.
Instructions for updating:
Use object_detection/model_main.py.
Traceback (most recent call last):
File "legacytrain.py", line 184, in
tf.app.run()
File "C:\Miniconda3lib\site-packagestensorflowpythonplatformapp.py", line 125, in run
_sys.exit(main(argv))
File "C:\Miniconda3lib\site-packagestensorflowpythonutil\deprecation.py", line 306, in new_func
return func(args, *kwargs)
File "legacytrain.py", line 93, in main
FLAGS.pipeline_config_path)
File "D:\imgdetect\models\research\object_detectionutilsconfig_util.py", line 99, in get_configs_from_pipeline_file
return create_configs_from_pipeline_proto(pipeline_config)
File "D:\imgdetect\models\research\object_detectionutilsconfig_util.py", line 123, in create_configs_from_pipeline_proto
configs["eval_input_config"] = configs["eval_input_configs"][0]
TypeError: 'InputReader' object does not support indexing

[leccyril]

i simply delete [0], it is working but i don't not if working well

[canguro0335]

Thanks, @leccyril. Now it's running ... But ...is it working? (I have the same question)

[leccyril]

i tried it and i have this result

i don't know if it is working well because in the tutorial all boxes are annotated but here it detect something but i have not the name so it is working well ?

[dienhoa]

I think you have a mismatch version of tensorflow and tensorflow/model . Do a pull for both and check if the problem is still there. For me I use tensorflow 1.10.1 and revert back to this commit solve the problem https://github.com/tensorflow/models/pull/4255
Hope that helps

[leccyril]

Hi thank you, i updated first tensorflow model, then update tensorflow to version 1.12 i dont want to revert tensorflow version because i dont know if downgrade several versions will fix issue, but i can try it

Nobody have last version of tensorflow and working détection ?

[shigeyuki-jp]

I had the same error, but it was solved.
In my case, it was caused by not having recompiled protobuf libraries with the new models sources.
(object_detection/protos/*.proto)

[futurev]

agree with shigeyuki-jp. I've solved this problem by reinstalling protobuf and regenerate all the files in object_detection/protos/*.proto.

[tensorflowbutler]

Hi There,
We are checking to see if you still need help on this, as this seems to be an old issue. Please update this issue with the latest information, code snippet to reproduce your issue and error you are seeing.
If we don't hear from you in the next 7 days, this issue will be closed automatically. If you don't need help on this issue any more, please consider closing this.