ValueError: not enough values to unpack (expected 2, got 1)

[pra-dan]

I am converting YOLO v2-tiny model to TensorFlow.
I downloaded the weights from the official site and saved them to the data/ directory.
After running
!python3 main.py \ --cfg 'data/yolov2.cfg' \ --weights 'data/yolov2.weights' \ --output 'data/' \ --prefix 'yolov2/' \ --gpu 0
I mistakenly renamed the yolov2-tiny files to yolov2 files, hence the paths to cfg and weights may seem wrong

But this is what I get:

WARNING:tensorflow:From main.py:56: The name tf.reset_default_graph is deprecated. Please use tf.compat.v1.reset_default_graph instead.

Traceback (most recent call last):
  File "main.py", line 116, in <module>
    main(args)
  File "main.py", line 57, in main
    parse_net(args.layers, args.cfg, args.weights, args.training)
  File "main.py", line 25, in parse_net
    for ith, layer in enumerate(cfg_walker):
  File "/content/DW2TF/util/reader.py", line 94, in get_block
    key, value = line[0:2]
ValueError: not enough values to unpack (expected 2, got 1)

[pratayusha]

Hi pra-dan ,
I had a similar problem because I was using incorrect cfg file.

Use below command,
wget https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov2.cfg