Models: In object_detection_tutorial

[yuanzhuohao]

---

ImportError Traceback (most recent call last)
in ()
----> 1 from utils import label_map_util
2
3 from utils import visualization_utils as vis_util

~/lab/dl/models/object_detection/utils/label_map_util.py in ()
20 import tensorflow as tf
21 from google.protobuf import text_format
---> 22 from object_detection.protos import string_int_label_map_pb2
23
24

ImportError: cannot import name 'string_int_label_map_pb2'

[zakizhou]

you forgot to run this

From tensorflow/models/

protoc object_detection/protos/*.proto --python_out=.

[chbaumgaertner]

I get an equal error after running

#From tensorflow/models/
protoc object_detection/protos/*.proto --python_out=.

Traceback (most recent call last):
  File "create_pet_tf_record.py", line 40, in <module>
    from object_detection.utils import label_map_util
  File "/home/chris/tensorflow-models/models/object_detection/utils/label_map_util.py", line 22, in <module>
    import string_int_label_map_pb2
ImportError: No module named string_int_label_map_pb2

[jch1]

@chbaumgaertner - Were there an error messages when you ran the protoc command? If it was successful, then you should see a bunch of extra files in the object_detection/protos directory of the form "xxx_pb2.py"

[Anuraag-Advani]

from object_detection.protos import string_int_label_map_pb2

Got this error, shouldn't it be
from protos import string_int_label_map_pb2

[june9713]

@jessyuan24
@zakizhou
@chbaumgaertner
@jch1
@Anuraag-Advani

I found some of reason. but I dont know how to solve it.
ipython notebook example file is in "object_detection" folder.
So , print(os.getcwd()) will show you "/models/object_detection"
but , "from object_detection.utils import label_map_util"
this line load utils from "/models"
current directory "/models/object_detection" but utils recognize current directory as "/models"
So, one trick is work.
"from object_detection.utils import label_map_util" --> "from utils import label_map_util"
And it works.

But this is just trick. this is not perfact solution.
somebody can solve this in windows enviorment please?

[Vikramank]

Hi guys,
I had the same problem. But after running the
protoc object_detection/protos/*.proto --python_out=.
it worked fine.
But my classes name and scores are not printed. Any suggestions? do I need to raise a separate issue?

[june9713]

@Vikramank jessyuan24 is aleady run protoc, but he said error is still showing. And I've had same problem in windows. :-)

[yuanzhuohao]

@june9713 Maybe I should install protoc first

[june9713]

@jessyuan24 Do you use windows virsion? or linux? If you are using windows, try my suggestion. :-)

[chbaumgaertner]

@june9713 your trick worked for now, thanks!

[Vikramank]

@june9713 @jessyuan24 great!

[jongold]

I'm getting this when trying to run protoc

~/models# protoc object_detection/protos/*.proto --python_out=.
object_detection/protos/anchor_generator.proto:11:3: Expected "required", "optional", or "repeated".
object_detection/protos/anchor_generator.proto:11:32: Missing field number.

Any ideas? Using the dl-docker image on a Mac

---

EDIT: fixed - https://github.com/tensorflow/models/issues/1570

[Anuraag-Advani]

I am not being able to use any model but the 'ssd_mobilenet_v1_coco_11_06_2017' one. I get this error with 'MODEL_NAME = 'faster_rcnn_resnet101_coco_11_06_2017''

```
DecodeError Traceback (most recent call last)
in ()
4 with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid:
5 serialized_graph = fid.read()
----> 6 od_graph_def.ParseFromString(serialized_graph)
7 tf.import_graph_def(od_graph_def, name='')

DecodeError: Error parsing message

```

[yuanzhuohao]

@june9713 No, I use mac osx

[astrung]

For window users : Use protobuf binary : protoc-3.3.0-win32.zip then : \link\to\protoc object_detection/protos/*.proto --python_out=. > then you can import string_int_label_map_pb2

[astrung]

Also, can we using transfer-learning for running locally ? i see that we have a doc about transfer learning on cloud but i can not find any documents that write about transfer learning on local machine . I expected it in pipeline but i can not find it. So how can we config transfer learning on running locally

[ghost]

how to run this command?
protoc object_detection/protos/*.proto --python_out=.

cmd or python is error

C:\Users\insor\Downloads\protoc-3.3.0-win32\bin>protoc.exe to C:\Users\insor\Desktop\k35 main\object detection\object_detection/protos/*.proto --python_out=.
to: No such file or directory

[yuanzhuohao]

@astrung Thanks it works.
@insort protoc install at https://github.com/google/protobuf

[astrung]

Also, can any one know about how to config for transfer learning on local machine ?

[june9713]

@astrung transfer learning? Could you tell me what does it mean?
Actually , I wanna train from scratch , but many error is occured.
I followed instruction from "Quick Start: Training a pet detector" and "Running locally" (is mixed)

1 . I downloaded pet image files and annotate files from http://www.robots.ox.ac.uk/~vgg/data/pets/

1. pet_label_map.pbtxt is already exist in data folder.

2. make record file(https://github.com/tensorflow/models/blob/master/object_detection/g3doc/running_pets.md)
   python object_detection/create_pet_tf_record.py \
   --label_map_path=object_detection/data/pet_label_map.pbtxt \
   --data_dir=pwd \
   --output_dir=pwd

3. most confusing thing is pipeline config file. I dont know how to make config file exactly. /models/object_detection/samples/configs/ directory has
   some of sample config files. I just choose one file. I choose "faster_rcnn_resnet101_pets.config"

4. edit faster_rcnn_resnet101_pets.config .
   some of directory and file path should be changing

5. Now all ready is done.( I think)
   Lets start traingin.(https://github.com/tensorflow/models/blob/master/object_detection/g3doc/running_locally.md)

my pipeline_config_path is :
'~/Desktop/models/object_detection/models/models/faster_rcnn_resnet101_pets.config'
my train_dir is :
~/Desktop/models/object_detection/models/models/train

run below:

python object_detection/train.py --logtostderr \
--pipeline_config_path='~/Desktop/models/object_detection/models/models/faster_rcnn_resnet101_pets.config' \
--train_dir=~/Desktop/models/object_detection/models/models/train

But failed.

Error Message is as below.

tensorflow.python.framework.errors_impl.NotFoundError: ~/Desktop/models/object_detection/models/models/faster_rcnn_resnet101_pets.config

It means pipeline_config file is not exist.
But file is obiously exist!! So I dont know reason.
Im finding the reason. If anybody have idea , please help me. Thnaks :-)

[astrung]

@june9713 Pls copy full of your error message. You may need absolute path . Also, transfer learning = train from previous model. You can check here when train in google cloud . But i can not understand why copy previous model to GCS Bucket. can help us to use transfer learning and how can i do same thing when run from local

[abhiML]

I think you just need to put the model for transfer learning(eg. VGG or Resnet) in a folder and specify the path in the config file.

[tejus-gupta]

For pascal_voc, the model configuration says num_classes=20 but the label_map file has an extra class with id=0 and name='none_of_the_above'. Why is this extra label added?

[abhiML]

Background.

[daniel0720]

Hello, I am in windows OS and downloaded protoc-3.3.0-win32.zip, after run protoc.exe object_detection\protos\*.proto --python_out=., I got a bunch of extra files in the object_detection/protos directory of the form "xxx_pb2.py".
But I still cannot run python object_detection\builders\model_builder_test.py.
Error is

So what is wrong?

[june9713]

@daniel0720
This is simple reason....
Run cmd as administrator.
you need to run "python3 setup.py build " and "python3 setup.py install" in models folder and /models/slim folder as Superuser(administrator).
After that, you can run run test, but if you try to run train, you will meet error again...
I wanna tell you reason... but it is too much log histoy about diff of py3 and py2.
I think you can solve it if you know what is diff py2 and py3,
otherwise, you should bring someones help. :-)

[daniel0720]

@june9713 Thank you very much. I know some diff py2 and py3.

[kaseyriver11]

I had the same problem. I changed my working directory to where the utils were:
os.chdir('.../anaconda/lib/python3.6/site-packages/tensorflow/models')

And the the code worked fine:
from object_detection.utils import label_map_util
from object_detection.utils import visualization_utils as vis_util

[june9713]

@kaseyriver11 Copy folder to site packages is good solution, but most easy way and clean way is setup.py insatll at models folder and slim folder to install models library. :-) Just type setup.py install at models folder and slim folder!

[chakpongchung]

Hi all, I had the same problem on ubuntu 16.04
tried:

cpchung:models$ uname -a
Linux microway 4.8.0-56-generic #61~16.04.1-Ubuntu SMP Wed Jun 14 11:58:22 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux

cpchung:models$ protoc --version
libprotoc 3.2.0

protoc object_detection/protos/*.proto --python_out=.
python setup.py install

no warning message found from these, but not working in jupyter-notebook

[june9713]

@chakpongchung Why dont you show Error message?

[chakpongchung]

@june9713

---

ImportError Traceback (most recent call last)
in ()
----> 1 from utils import label_map_util
2 from utils import visualization_utils as vis_util

/local/home/cpchung/software/models/object_detection/utils/label_map_util.py in ()
20 import tensorflow as tf
21 from google.protobuf import text_format
---> 22 from object_detection.protos import string_int_label_map_pb2
23
24

ImportError: cannot import name string_int_label_map_pb2

[june9713]

@chakpongchung
Do you use anaconda?
Or... is your notebook kernal python2?
Run python in console.
And type "import object_detection"
If there is no error, you need to find out what is kerneal in jupyter notebook

[chakpongchung]

cpchung:~$ python
Python 2.7.13 |Anaconda custom (64-bit)| (default, Dec 20 2016, 23:09:15)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org

>>> import object_detection
>>> 

My notebook kernel is python2

[june9713]

@chakpongchung
I dont use anaconda... So I dont know what happens exactly.
In my guess , your "setup.py" copies files to your conda path.
but your notebook is finding packages from your pure python2.7 path.
you need to test "import object_detection" in notebook.
What do you think?

[chakpongchung]

@june9713

Thanks for your feedback. But:

cpchung:models$ which jupyter-notebook
/local/home/cpchung/anaconda2/bin/jupyter-notebook

[FPerezHernandez92]

I download the models: https://github.com/tensorflow/models
I installed all and I do in directory: /models-master/:
$ protoc object_detection/protos/*.proto --python_out=.
$ export PYTHONPATH=$PYTHONPATH:pwd:pwd/slim
$ python object_detection/builders/model_builder_test.py

All fine, but, If I try do:
https://github.com/tensorflow/models/blob/master/object_detection/g3doc/running_locally.md
First I download annotations and images in directory: /object_detection/ , and I do in directory: /models-master/object_detection/
$ tar -xvf annotations.tar.gz
$ tar -xvf images.tar.gz
$ python create_pet_tf_record.py --data_dir=pwd --output_dir=pwd

In the pipeline I use the "faster_rcnn_resnet101_pets.config" and I changed the next:
fine_tune_checkpoint: "/home/fperez/Descargas/models-master/object_detection/model.ckpt"
I don't know, where the model.ckpt is. The other change is:
"""
train_input_reader: {
tf_record_input_reader {
input_path: "/home/fperez/Descargas/models-master/object_detection/pet_train.record"
}
label_map_path: "/home/fperez/Descargas/models-master/object_detection/data/pet_label_map.pbtxt"
}
eval_config: {
num_examples: 2000
}
eval_input_reader: {
tf_record_input_reader {
input_path: "/home/fperez/Descargas/models-master/object_detection/pet_val.record"
}
label_map_path: "/home/fperez/Descargas/models-master/object_detection/data/pet_label_map.pbtxt"
}
"""

I do in directory: /models-master/
$ python object_detection/train.py --logtostderr --pipeline_config_path=object_detection/ --train_dir=object_detection/
and I had the next error:
"""
Traceback (most recent call last):
File "object_detection/train.py", line 198, in
tf.app.run()
File "/home/fperez/.local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "object_detection/train.py", line 143, in main
model_config, train_config, input_config = get_configs_from_pipeline_file()
File "object_detection/train.py", line 103, in get_configs_from_pipeline_file
text_format.Merge(f.read(), pipeline_config)
File "/home/fperez/.local/lib/python2.7/site-packages/tensorflow/python/lib/io/file_io.py", line 125, in read
pywrap_tensorflow.ReadFromStream(self._read_buf, length, status))
File "/usr/lib/python2.7/contextlib.py", line 24, in __exit__
self.gen.next()
File "/home/fperez/.local/lib/python2.7/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.FailedPreconditionError: object_detection
"""

But, when I do "import object_detection" in python terminal, It works fine. What is it my problem? Sorry for the inconvenience

[june9713]

@FPerezHernandez92 Oh I have same problem either!! So I remove that line inconfig file. Then it works fine but, After traning, Problem occurs when I try freeze ckpt file to .pb file. And I found it is beacause of I removing line about model.ckpt from config file. Im trying to find answer but still didnt. I will let you know If I find somthing :-)

[FPerezHernandez92]

What line do you say? @june9713 Because, I comment the line:
fine_tune_checkpoint: "/home/fperez/Descargas/models-master/object_detection/model.ckpt"
And I have the same error than my other message.

[june9713]

@FPerezHernandez92 Do you install object_detection api to your pc? You need to do setup.py on /models/ folder.

[FPerezHernandez92]

@june9713 Yes, I do in directory "models-master/:
$ python setup.py sdist
$ (cd slim && python setup.py sdist )

But the problem, when I do:
$ python object_detection/train.py --logtostderr --pipeline_config_path=object_detection/ --train_dir=object_detection/

Is the same that I say in the other message.

[vallettea]

@Anuraag-Advani have you managed to tackle the problem of
```
DecodeError Traceback (most recent call last)
in ()
4 with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid:
5 serialized_graph = fid.read()
----> 6 od_graph_def.ParseFromString(serialized_graph)
7 tf.import_graph_def(od_graph_def, name='')

DecodeError: Error parsing message
``` ?

[Anuraag-Advani]

No

[gustavkkk]

I run the following command in /tensorflow/model
protoc object_detection/protos/.proto --python_out=.
but it returns the following error.
object_detection/protos/.proto: Invalid argument
Is there anyone could help me? I used anaconda3-4.2.0, tensorflow1.2.1 on windows8.1.

[gustavkkk]

the problem solved. I run .proto file one by one.

[roblee357]

Do they have to be ran one by one or is there a better way?

[awankuma]

I got same problem, solved by rerunning
export PYTHONPATH=$PYTHONPATH:'pwd':'pwd'/slim

Problem: single quote used for pwd was in some special character, type it after deleting from keyboard.

[weogen]

download the protoc_3.3,can solve this problem
$ mkdir protoc_3.3
$ cd protoc_3.3
protoc_3.3$ wget wget https://github.com/google/protobuf/releases/download/v3.3.0/protoc-3.3.0-linux-x86_64.zip
protoc_3.3$ chmod 775 protoc-3.3.0-linux-x86_64.zip
protoc_3.3$ unzip protoc-3.3.0-linux-x86_64.zip
cd ../tensorflow/models/
../tensorflow/models$ home/../protoc_3.3/bin/protoc object_detection/protos/*.proto --python_out=.

[yhmybzc]

@roblee357 try to add * like this: protoc object_detection/protos/*.proto --python_out=.

[yhmybzc]

I have passed builder_test.py, but when I try to run locally as in running_locally.md I got following issues:

Traceback (most recent call last): File "/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main "main", fname, loader, pkg_name) File "/usr/lib/python2.7/runpy.py", line 72, in _run_code exec code in run_globals File "/root/.local/lib/python2.7/site-packages/object_detection/train.py", line 198, in tf.app.run() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 44, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "/root/.local/lib/python2.7/site-packages/object_detection/train.py", line 141, in main assert FLAGS.train_dir, 'train_dir is missing.' AssertionError: train_dir is missing.

then I tried to set default train_dir in trian.py instead of by command line, but another issue occurs:

File "/data/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.FailedPreconditionError: .

any suggestion would be grateful~please help...

[rohitsubramani]

How do i resolve this in windows 10?
File "generate_tfrecord.py", line 20, in
from object_detection.utils import dataset_util
ModuleNotFoundError: No module named 'object_detection'

[june9713]

@rohitsubramani
Dear.
You have to install object detection.
setup.py install

[rohitsubramani]

how do i do it in windows

On Sun, Oct 15, 2017 at 9:10 AM, june9713 [e-mail] wrote:

@rohitsubramani https://github.com/rohitsubramani
Dear.
You have to install object detection.
setup.py install

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[sainttelant]

when i tried to train pet detecter tutorials followed by instructions steps by steps, i 've already added PYTHONPATH, and run model_test.py successfully, and meantime, i 've added export pythonpath in bashrc manually,and successfully, however, i executed the code to transfer pet_tf_record, it occurred the error as follows like;

/usr/local/lib/python3.5/dist-packages/tensorflow/models/research$ sudo python object_detection/create_pet_tf_record.py --label_map_path=object_detection/data/pet_label_map.pbtxt --data_dir=pwd --output_dir=pwd
Traceback (most recent call last):
File "object_detection/create_pet_tf_record.py", line 39, in
from object_detection.utils import dataset_util
ImportError: No module named object_detection.utils

how to solve it?plz tell me why?

[sainttelant]

@rohitsubramani
i got the same error like you, so how do you solve it?
ModuleNotFoundError: No module named 'object_detection'

[ybsave]

@yhmybzc The same command does not work on my Windows 10.
protoc object_detection/protos/.proto --python_out=.
This will show error message: object_detection/protos/.proto: No such file or directory.
But those directories and files do exist.

The only working solution is as @gustavkkk mentioned, run those .proto files one by one

Anyone know why?

[yoonsj]

@ybsave Not in this thread but I saw that "*.proto" to specify all proto extension files does not work on the windows command prompt so we need to put all of the files one by one as @gustavkkk mentioned. You can copy and paste following script to do that. This works for me.

protoc --python_out=. .\object_detection\protos\anchor_generator.proto .\object_detection\protos\argmax_matcher.proto .\object_detection\protos\bipartite_matcher.proto .\object_detection\protos\box_coder.proto .\object_detection\protos\box_predictor.proto .\object_detection\protoseval.proto .\object_detection\protos\faster_rcnn.proto .\object_detection\protos\faster_rcnn_box_coder.proto .\object_detection\protos\grid_anchor_generator.proto .\object_detection\protos\hyperparams.proto .\object_detection\protos\image_resizer.proto .\object_detection\protos\input_reader.proto .\object_detection\protos\losses.proto .\object_detection\protos\matcher.proto .\object_detection\protos\mean_stddev_box_coder.proto .\object_detection\protos\model.proto .\object_detection\protos\optimizer.proto .\object_detection\protos\pipeline.proto .\object_detection\protos\post_processing.proto .\object_detection\protos\preprocessor.proto .\object_detection\protos\region_similarity_calculator.proto .\object_detection\protos\square_box_coder.proto .\object_detection\protos\ssd.proto .\object_detection\protos\ssd_anchor_generator.proto .\object_detection\protosstring_int_label_map.proto .\object_detection\protos\train.proto

[karkinissan]

@jingyibo123
Try deleting the "build" file in the slim folder. The setup.py worked for me after that.
But it created another error.

ImportError: No module named 'nets.nasnet'

[jingyibo123]

Hi @karkinissan Oups I actually renamed it to BUILD2 now everything's working fine that's why I deleted the original comment. Not sure about your case though.

[KimmoOjala]

Hi @yoonsj I tried your script to compile the python executable protobuf files. When I ran python object_detection/builders/model_builder_test.py, I got: File "C:\Users\User\New\Anaconda3\envs\tensorflow\lib\site-packages\object_detection-0.1-py3.5.egg\object_detection\protos\box_coder_pb2.py", line 17, in
ImportError: cannot import name 'keypoint_box_coder_pb2'

I noticed that in your script ".\object_detection\protos\keypoint_box_coder.proto" was missing and added it which did produce keypoint_box_coder_pb2.py.

However, I still get the same error. What am I possibly missing?

Any help would be greatly appreciated.

[yoonsj]

Hi @KimmoOjala I found that the tensorflow object detection package has been changed. In the package I've downloaded, it does not require "keypoint_box_coder.proto" as follows, but updated package requires "keypoint_box_coder.proto." Did you check that "keypoint_box_coder.proto" is in "/protos" directory? If yes, check if "keypoint_box_coder_pb2.py" is generated after you built.

syntax = "proto2";

package object_detection.protos;

import "object_detection/protos/faster_rcnn_box_coder.proto";
import "object_detection/protos/mean_stddev_box_coder.proto";
import "object_detection/protos/square_box_coder.proto";

// Configuration proto for the box coder to be used in the object detection
// pipeline. See core/box_coder.py for details.
message BoxCoder {
  oneof box_coder_oneof {
    FasterRcnnBoxCoder faster_rcnn_box_coder = 1;
    MeanStddevBoxCoder mean_stddev_box_coder = 2;
    SquareBoxCoder square_box_coder = 3;
  }
}

[KimmoOjala]

Thanks for your help. It works for me now. I just had to build it again.

BR, Kimmo

2017-11-09 19:14 GMT+02:00 Su-Jong [e-mail]:

Hi @KimmoOjala https://github.com/kimmoojala I found that the
tensorflow object detection package has been changed. In the package I've
downloaded, it does not require the keypoint_box_coder_pb2 as follows, but
updated package requires "keypoint_box_coder.proto." Did you check that
"keypoint_box_coder.proto" is in "/protos" directory? If yes, check if
"keypoint_box_coder_pb2.py" is generated after you built.

syntax = "proto2";

package object_detection.protos;

import "object_detection/protos/faster_rcnn_box_coder.proto";
import "object_detection/protos/mean_stddev_box_coder.proto";
import "object_detection/protos/square_box_coder.proto";

// Configuration proto for the box coder to be used in the object detection
// pipeline. See core/box_coder.py for details.
message BoxCoder {
oneof box_coder_oneof {
FasterRcnnBoxCoder faster_rcnn_box_coder = 1;
MeanStddevBoxCoder mean_stddev_box_coder = 2;
SquareBoxCoder square_box_coder = 3;
}
}

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.

[manish341]

I donno If you guys got this. Didn't go through the full post.
The solution I got is really weird. I am using Its really weird version: protoc-3.3.0-win32.zip, shared above by @astrung after using all the latest versions. I was still facing issues though.
As soon I moved the object_detection folder inside the bin, it worked like a charm.. Cheers.

[prabhatsharma]

@Anuraag-Advani @vallettea were you guys able to resolve
DecodeErrorTraceback (most recent call last)
in ()
4 with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid:
5 serialized_graph = fid.read()
----> 6 od_graph_def.ParseFromString(serialized_graph)
7 tf.import_graph_def(od_graph_def, name='')

DecodeError: Error parsing message

[Amri95]

amrita@amrita-VirtualBox:~/Downloads/models/research/object_detection$ python3 train.py
WARNING:tensorflow:From /home/amrita/.local/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.
Traceback (most recent call last):
File "train.py", line 167, in
tf.app.run()
File "/home/amrita/.local/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "train.py", line 88, in main
assert FLAGS.train_dir, 'train_dir is missing.'
AssertionError: train_dir is missing.

I am having this error while running python3 train.py
Thanks if anyone can help.

[sooonwoo]

In Windows system protoc object_detection/protos/.proto --python_out=. is not working.
I think command "protos/.proto" is not working in windows system.

So you should enter the command for every file in protos folder.
like "protoc image_resizer.proto --python_out=." (#From tensorflow/models/object_detection/protos/
(image_resizer.proto is a exmaple name. you should do it for every .proto file)

Then you can see .pb files in protos folder, if it is worked.

[nasir3843]

I am on ubunto 16.04. After running command

./protoc ../../research/object_detection/protos/*.proto --python_out=.

I get this error.

../../research/object_detection/protos/anchor_generator.proto: File does not reside within any path specified using --proto_path (or -I). You must specify a --proto_path which encompasses this file. Note that the proto_path must be an exact prefix of the .proto file names -- protoc is too dumb to figure out when two paths (e.g. absolute and relative) are equivalent (it's harder than you think).

Any help would be appreciated. Thanks

[vdsvv]

Works for me(protoc.exe v3.4.0):
E:\$\tf\models-master\research>protoc.exe object_detection/protos/*.proto --python_out=.

[sbarter510]

What finally worked for me was moving the proto files to the folder site-packages/object_detection-0.1-py3.6.egg (I have no idea when this folder was formed but thats where label_map_util was trying to access the proto files.) Seems to be an issue with the path with which utils tries to access its neccesary components. 3 days of headache.. and now on to the next chapter!

[92shehab]

when i run this in my anaconda prompt : (tensorflow3) c:\tensorflow3\models\research\object_detection>python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/ssd_mobilenet_v1_coco.config

(it shows)
google.protobuf.text_format.ParseError: 71:12 : Message type "object_detection.protos.Hyperparams" has no field named "7".
(that error)

whats the pb ..please help me ...

[Azeem789]

Traceback (most recent call last):
File "C:\tensorflow\models-master\research\object_detection\object_detection_tutorial.py", line 17, in
import tensorflow as tf
File "C:\Users\Mr. Khan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow__init__.py", line 24, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "C:\Users\Mr. Khan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python__init__.py", line 59, in
from tensorflow.core.framework.graph_pb2 import *
File "C:\Users\Mr. Khan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\core\framework\graph_pb2.py", line 6, in
from google.protobuf import descriptor as _descriptor
File "C:\Users\Mr. Khan\AppData\Local\Programs\Python\Python36\lib\site-packages\google\protobuf\descriptor.py", line 47, in
from google.protobuf.pyext import _message
ImportError: DLL load failed: The specified procedure could not be found.

please help me!

[OsamaNaeem1995]

Hi guys,
I had the same problem. But after running the
protoc object_detection/protos/*.proto --python_out=.
it worked fine.
But my classes name and scores are not printed. Any suggestions? do I need to raise a separate issue?

Hi i run this command but i get the error no such file or directory what should i do ?

[Pices-26]

To solve this problem you need to run protoc object_detection/protos/*.proto --python_out=. from the path of the protoc location.
Then if you are using any model from object detection then what you NEED to do is create your program inside of object_detection. There is a way to set it up elsewhere and create a path to it but I suggest starting it from inside of object_detection folder

[stevevaius77]

To solve this issue please be sure to use protoc-3.4.0-win32 for windows 10 (3.9.0 not working). Then in by calling cmd in models/research folder
"C:/tensorflow1/protoc/bin/protoc" object_detection/protos/*.proto --python_out=.
PS: protoc's unzipped bin folder already moved to main root folder of project (i.e. c:/tensorflow1)

[456213]

(test1) D:\tensorflow\models\research\object_detection>python generate_tfrecord.py --csv_input=images\test_labels.csv --image_dir=images\test --output_path=test.record
Traceback (most recent call last):
File "generate_tfrecord.py", line 20, in
from object_detection.utils import dataset_util
ModuleNotFoundError: No module named 'object_detection'
how can i slove it please help me!

[Davari393]

Hi.i ran

Hi guys,
I had the same problem. But after running the
protoc object_detection/protos/*.proto --python_out=.
it worked fine.
But my classes name and scores are not printed. Any suggestions? do I need to raise a separate issue?

Hi i run this command but i get the error no such file or directory what should i do ?

Hi.me too.Could you solve the problem?

[Davari393]

Hi guys,
I had the same problem. But after running the
protoc object_detection/protos/*.proto --python_out=.
it worked fine.
But my classes name and scores are not printed. Any suggestions? do I need to raise a separate issue?

Hi i run this command but i get the error no such file or directory what should i do ?

Hi.me too.Could you solve it?

[BilalSaeedLM10]

I am building my own object detector by following this * https://towardsdatascience.com/creating-your-own-object-detector-ad69dda69c85 * tutorial.

Theproblem is whenver I am executing this *python generate_tfrecord.py --csv_input=images\train_labels.csv --image_dir=images\train --output_path=train.record
* command I am getting this error:

Traceback (most recent call last):
File "generate_tfrecord.py", line 20, in
from object_detection.utils import dataset_util
ModuleNotFoundError: No module named 'object_detection'

Any Ideas?

[nasir3843]

Could you execute below commands before running "python generate_tfrecord.py"

From tensorflow/models/research/

protoc object_detection/protos/*.proto --python_out=.

From tensorflow/models/research/

export PYTHONPATH=$PYTHONPATH:pwd:pwd/slim

[alzin]

If someone stills getting the same error, I imported the following to get rid of it:

import sys
sys.path
sys.path.insert(0, 'ON_YOUR_PC/object_detection')

sys.path.append("..")
from object_detection.utils import ops as utils_ops

from protos import string_int_label_map_pb2
from utils import visualization_utils as vis_util

[markhyro123]

(finalthesis) C:\tensorflow\models\research\object_detection>python generate_tfrecord.py --csv_input=images/train_labels.csv --image_dir=images/train --output_path=train.record
Traceback (most recent call last):
File "generate_tfrecord.py", line 17, in
import tensorflow as tf
File "C:\Users\Robuca\Anaconda3\envs\finalthesis\lib\site-packages\tensorflow__init__.py", line 24, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "C:\Users\Robuca\Anaconda3\envs\finalthesis\lib\site-packages\tensorflow\python__init__.py", line 59, in
from tensorflow.core.framework.graph_pb2 import *
File "C:\Users\Robuca\Anaconda3\envs\finalthesis\lib\site-packages\tensorflow\core\framework\graph_pb2.py", line 15, in
from tensorflow.core.framework import node_def_pb2 as tensorflow_dot_core_dot_framework_dot_node__def__pb2
File "C:\Users\Robuca\Anaconda3\envs\finalthesis\lib\site-packages\tensorflow\core\framework\node_def_pb2.py", line 15, in
from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr__value__pb2
File "C:\Users\Robuca\Anaconda3\envs\finalthesis\lib\site-packages\tensorflow\core\framework\attr_value_pb2.py", line 15, in
from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__pb2
File "C:\Users\Robuca\Anaconda3\envs\finalthesis\lib\site-packages\tensorflow\core\framework\tensor_pb2.py", line 15, in
from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resource__handle__pb2
File "C:\Users\Robuca\Anaconda3\envs\finalthesis\lib\site-packages\tensorflow\core\framework\resource_handle_pb2.py", line 91, in
__module__ = 'tensorflow.core.framework.resource_handle_pb2'
TypeError: expected bytes, Descriptor found

plsss help me this error..
how can i fix this error..
Im using tensorflow CPU..
I don't have graphics card for GPU