Problem Object API\models\research\object_detection>python train.py --train_dir=training/ --pipeline_config_path=training/ssd_mobilenet_v1_pets.config --logtostderr

[Homayra22]

(object) C:\Users\homay\OneDrive\Documents\Object API\models\research\object_detection>python train.py --train_dir=training/ --pipeline_config_path=training/ssd_mobilenet_v1_pets.config --logtostderr
Traceback (most recent call last):
File "C:\Users\homay\OneDrive\Documents\Object API\models\research\object_detection\train.py", line 48, in
import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow'

[ravikyram]

@Homayra22

What is your cpu make/model?
I suspect that your cpu does not support AVX instructtion sets.See hardware requirements.
Check if your Python is for 32- or 64-bit installation?. IT should be 64 bit.
Also, can you create a fresh environment and then try to install Tensorflow. and let us know if the issue still persists. Thanks!

[Homayra22]

@ravikyram
My CPU is Corei5, 8 gm RAM.
I am using Tensor flow 1.12
My Python is 3.8- 64 bit
I am trying to create a new environment for my anaconda tensor flow. In the anaconda navigator the available tensor flow package is 2.3.0 but I require 1.12 or 1.15. Can you please help me how can I install tensor flow 1.12 or 1.15 in anaconda navigator?

[ravikyram]

@Homayra22

Please, see tested build configurations for windows and linux . Please try with python 3.6 and see if the issue still persists. Thanks!

[Homayra22]

@ravikyram

Hi, After trying here for so long hours, I have moved to another tutorial. I am facing a problem when training a custom model

tensorflow.python.framework.errors_impl.InvalidArgumentError: NewRandomAccessFile failed to Create/Open: C:\Tensorflow\workspace raining_demonnotations\label_map.pbtxt : The filename, directory name, or volume label syntax is incorrect.
; no protocol option

I have already checked label_map.pbtxt file. The command is written properly.

[ravikyram]

@Homayra22

Please, refer similar issue #2215 and see if it helps you. Thanks!

[kumariko]

@Homayra22 As you are using an older version of tensorflow(1.x) which is officially considered as end of life. We recommend that you upgrade to 2.6 which is latest stable version of TF and let us know if the issue still persists in newer versions. refer issue. Thanks!

[google-ml-butler]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you.

[google-ml-butler]

Closing as stale. Please reopen if you'd like to work on this further.

[google-ml-butler]

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