I am new to Tensorflow as well as Data Science. Recently, I wanted to train custom object detection.

Machine and Environment Types and Other Requirements:

1. Anaconda to create and operate in venv
2. Tensor Flow cpu version
3. ssd-mobile-net-v1-coco
4. Python 3.6

At first I stored all my files in

C:\Users\Documents\TensorFlow\models\research

directory as it was giving error continuously while I try to run this from other folder.

then after copying all the files and folders of my custom object's to above directory, I started the venv of tensorflow_cpu in anaconda prompt and then I wrote following command:

python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/pipeline.config

Then the training began,

I have done all of this by following a blog. I wanted to keep my global loss at least 2. But suddenly without any intention to give keyboard interrupt I pressed ctrl+c and the train.py file terminated. Now when I re-run this, I get the following error:

(tensorflow_cpu) C:\Users\arfan\Documents\TensorFlow\models\research>python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/pipeline.config
WARNING:tensorflow:From C:\Anaconda3\envs\tensorflow_cpu\lib\site-packages\tensorflow\python\platform\app.py:125: main (from __main__) is deprecated and will be removed in a future version.
Instructions for updating:
Use object_detection/model_main.py.
W1118 23:02:23.971923  9792 tf_logging.py:125] From C:\Anaconda3\envs\tensorflow_cpu\lib\site-packages\tensorflow\python\platform\app.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 "train.py", line 184, in <module>
    tf.app.run()
  File "C:\Anaconda3\envs\tensorflow_cpu\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
    _sys.exit(main(argv))
  File "C:\Anaconda3\envs\tensorflow_cpu\lib\site-packages\tensorflow\python\util\deprecation.py", line 306, in new_func
    return func(*args, **kwargs)
  File "train.py", line 180, in main
    graph_hook_fn=graph_rewriter_fn)
  File "C:\Users\arfan\Documents\TensorFlow\models\research\object_detection\legacy\trainer.py", line 248, in train
    detection_model = create_model_fn()
  File "C:\Users\arfan\Documents\TensorFlow\models\research\object_detection\builders\model_builder.py", line 122, in build
    raise ValueError('Unknown meta architecture: {}'.format(meta_architecture))
ValueError: Unknown meta architecture: None

Can anyone please help? I am new to this field so please explain your answer. This is my first post here, extremely sorry if I make any unintentional mistake.

directory as it was giving error continuously while I try to run this from other folder.

then after copying all the files and folders of my custom object's to above directory, I started the venv of tensorflow_cpu in anaconda prompt and then I wrote following command:

directory as it was giving error continuously while I try to run this from other folder.



then after copying all the files and folders of my custom object's to above directory, I started the venv of tensorflow_cpu in anaconda prompt and then I wrote following command:

Then the training began,