I'm trying to train a custom object detection module using object detection api. I have put everything together and tried to train the module using 'Google Colab'. When I try to train the module it gives this error.
Traceback (most recent call last):
File "train.py", line 49, in <module>
from object_detection import trainer
File "/usr/local/lib/python3.6/dist-packages/object_detection-0.1-py3.6.egg/object_detection/trainer.py", line 33, in <module>
from deployment import model_deploy
ModuleNotFoundError: No module named 'deployment'
I also execute the blow code segment which is equivalent to export PYTHONPATH=$PYTHONPATH:pwd:pwd/slim
import sys
sys.path.append('/content/models/research/slim/')
How do I overcome this error?
Copy 'deployment' folder in 'slim'. Then paste it to 'site-packages' folder of your python environment
Hope this helps!
For Google Colab,
import os
os.environ['PYTHONPATH'] += ':/models/research/:/models/research/slim/'
this one works..
Related
I am using an open source code from github for face detection uploaded to google colaboratory that runs k80 GPU. I believe I have installed and imported the libraries needed such as mxnet-cu90 and when I run the code I get the error listed below which I am not sure if it is a path problem or k80 does not support it or something else.
OSError: libcudart.so.9.0: cannot open shared object file: No such file or directory
Do we do imports differently in colab such as import mxnet as mx
It is my first attempt at colab and I run the code in the notebook cell as follows:
!python VideoProcessor.py
The VideoProcessor.py code runs as follows:
File "VideoProcessor.py", line 7, in <module>
from retinaface import RetinaFace
File "../thirdparty/insightface/RetinaFace/retinaface.py", line 7, in <module>
import mxnet as mx
File "/usr/local/lib/python3.6/dist-packages/mxnet/__init__.py", line 24, in <module>
from .context import Context, current_context, cpu, gpu, cpu_pinned
File "/usr/local/lib/python3.6/dist-packages/mxnet/context.py", line 24, in <module>
from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass
File "/usr/local/lib/python3.6/dist-packages/mxnet/base.py", line 213, in <module>
_LIB = _load_lib()
File "/usr/local/lib/python3.6/dist-packages/mxnet/base.py", line 204, in _load_lib
lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL)
File "/usr/lib/python3.6/ctypes/__init__.py", line 348, in __init__
self._handle = _dlopen(self._name, mode)
OSError: libcudart.so.9.0: cannot open shared object file: No such file or directory
I've tried to run the below code but it always gives a set of errors. I tried searching the answers but none work for my code, there are two files named 'object_detection' one in the research folder and other in the object_detection-0.1-py3.7.egg folder which might be causing the error but i tried to change the path but the errors still persist
I'm trying to execue this command:
C:\tensorflow1\models\research\object_detection>python train.py --
logtostderr --train_dir=training/ --
pipeline_config_path=training/faster_rcnn_inception_v2_pets.config
but have the following errors coming up:
Traceback (most recent call last):
1. File "train.py", line 51, in <module>
from object_detection.builders import model_builder
2. File "C:\Users\Swayam\mypython\lib\site-packages\object_detection-
0.1-
py3.7.egg\object_detection\builders\model_builder.py", line 27, in
<module>
from object_detection.builders import post_processing_builder
3. File "C:\Users\Swayam\mypython\lib\site-packages\object_detection-
0.1-
py3.7.egg\object_detection\builders\post_processing_builder.py",
line 2
2, in <module>
from object_detection.protos import post_processing_pb2
4. File "C:\Users\Swayam\mypython\lib\site-packages\object_detection-
0.1-
py3.7.egg\object_detection\protos\post_processing_pb2.py", line 15,
in
<module>
from object_detection.protos import calibration_pb2 as
object__detection_dot_protos_dot_calibration__pb2
5. ImportError: cannot import name 'calibration_pb2' from
'object_detection.protos' (C:\Users\Swayam\mypython\lib\site-
packages\object_detection-0.1-
py3.7.egg\object_detection\protos\__init__.py)
I've tried using the
protoc object_detection/protos/*.proto --python_out=.
command but it brings up errors too.
Also, the environment is not made in conda, could that be the cause of the error? Though all the necessary installations are present in the existing virtual environment.
Try this Solution:
Check if the file
"calibration_pb2.py"
is located in the following path, in your case may be this one:
C:\Users\Swayam\mypython\lib\site-packages\object_detection-0.1-
py3.7.egg\object_detection\protos\
If not, just copy it from your working path:
C:\tensorflow1\models\research\object_detection\protos\
If it works, I sugggest you try to copy all the *pb2.py files into the path mentioned above.
you just compile this
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\protos\eval.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\protos\string_int_label_map.proto .\object_detection\protos\train.proto .\object_detection\protos\keypoint_box_coder.proto .\object_detection\protos\multiscale_anchor_generator.proto .\object_detection\protos\graph_rewriter.proto .\object_detection\protos\calibration.proto
it will resolve the issue
I am trying to use Scrapy with Anaconda/Miniconda on Windows 10. Installation goes fine, but trying to actually run Scrapy gives the following error:
Traceback (most recent call last):
File "C:\ProgramData\Miniconda3\Scripts\scrapy-script.py", line 6, in <module>
from scrapy.cmdline import execute
File "C:\ProgramData\Miniconda3\lib\site-packages\scrapy\__init__.py", line 34, in <module>
from scrapy.spiders import Spider
File "C:\ProgramData\Miniconda3\lib\site-packages\scrapy\spiders\__init__.py", line 10, in <module>
from scrapy.http import Request
File "C:\ProgramData\Miniconda3\lib\site-packages\scrapy\http\__init__.py", line 11, in <module>
from scrapy.http.request.form import FormRequest
File "C:\ProgramData\Miniconda3\lib\site-packages\scrapy\http\request\form.py", line 11, in <module>
import lxml.html
File "C:\ProgramData\Miniconda3\lib\site-packages\lxml\html\__init__.py", line 53, in <module>
from .. import etree
ImportError: DLL load failed: The specified module could not be found.
I have tried reinstalling Scrapy, lxml, and Anaconda itself (this time, I'm using a clean install of Miniconda), as well as downloading unofficial lxml build from https://www.lfd.uci.edu/~gohlke/pythonlibs/, as suggested in one of the answers on Stack Overflow, but the problem persists. I have also done this on an Amazon AWS EC2 instance started from scratch, but I'm getting the same issue.
It seems to be something relatively common, but I couldn't find an answer that would work for me. What's an appropriate way to address this? Is it just about lxml, or is there something else causing this problem?
I'm trying to follow along the Audio Recognition Network tutorial.
I've created an Anaconda environment with python 3.6 and followed the install instruction accordingly for installing the GPU whl.
I can run the 'hello world' TF example.
When I go to run 'train.py' in the Audio Recognition Network tutorial/example, I get:
Traceback (most recent call last):
File "train.py", line 79, in <module>
import input_data
File "/home/philglau/speech_commands/input_data.py", line 35, in <module>
from tensorflow.contrib.framework.python.ops import audio_ops as contrib_audio
ImportError: cannot import name 'audio_ops'
The code in the tutorial that fails is:
from tensorflow.contrib.framework.python.ops import audio_ops as contrib_audio
I then backed up that chain until I could import some part of it:
import tensorflow.contrib.framework as test ==> works
import tensorflow.contrib.framework.python as test --> fail:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'tensorflow.contrib.framework' has no attribute 'python'
Not sure where I'm going wrong on my install.
Details:
Ubuntu 16.04
Anaconda env with python 3.6
Followed the 'anaconda' instruction on the TF install page. (GPU version)
I also tried using a python 2.7 env for anaconda but got the same results.
It looks like they're releasing the audio_ops modules in version 1.4 (https://github.com/tensorflow/tensorflow/issues/11339#issuecomment-327879009).
Until v1.4 is released, an easy way around this is to install the nightly tensorflow build
pip install tf-nightly
or with the docker image linked in the issue comment.
The short answer:
The framework is missing the "audio_ops.py" and the example wont work until the file is released. Or you code the wrappers.
More on this:
If you go to the: tensorflow.contrib.framework.python.ops local folder you can find other *_ops.py files but not the "audio_ops.py".
If you get it from the Master at: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/framework/python/ops
You will find the file is almost empty and with import labels wrong: "audio_ops" vs "gen_audio_ops".
With almost empty I mean that: decode_wav, encode_wav, audio_spectrogram , mfcc are not implemented/wrapped.
So, no working example and no fun.
We need to check again when "audio_ops.py" is released.
Here:
https://github.com/tensorflow/tensorflow/issues/11339
You can find a Developer saying: "we don't actually want to make them public / supported yet. I'm sorry this decision wasn't better documented"
I'm trying to setup a Zope app following the steps in the official tutorial.
After downloading the Zope distribution and bootstrapping the buildout, I get to the last step, bin/buildout, and this error follows:
Traceback (most recent call last):
File "bin/buildout", line 9, in <module>
import zc.buildout.buildout
ImportError: No module named buildout.buildout
How should I proceed?
Try instead the instructions in
https://pypi.python.org/pypi/bobtemplates.plone (call it from the src-directory)
and
https://github.com/plone/bobtemplates.plone
and use a virtualenv:
virtualenv mrbobvenv
source mrbobvenv/bin/activate