Index Error while trying to run a neural network - python

I am new to both python and neural networks.
I am trying to run this
First I did
sh ./create_dataset.sh
And gave the correct path to scenflow_data_path.
Now I am trying to run this:
python main.py --maxdisp 192 --with_spn
as given, I am getting this following error. Please let me know how to correct this.
The error is:
Traceback (most recent call last):
File "main.py", line 194, in <module>
main()
File "main.py", line 51, in main
args.datapath)
File "/home/kbdp5524/Downloads/AnyNet-master/dataloader/listflowfile.py", line 23, in dataloader
monkaa_path = filepath + [x for x in image if 'monkaa' in x][0]
IndexError: list index out of range

Related

error when running this command: sudo ./run-analysis.py COOJA.testlog

I use Contiki-ng and I want to visualize the results of my simulation "simTCP.csc" but I have an error message when I run this command: sudo ./run-analysis.py COOJA.testlog.
the error is:
Traceback (most recent call last):
File "./run-analysis.py", line 389, in <module>
main()
File "./run-analysis.py", line 374, in main
results, ll_par, ll_queue_dropped, e2e_pdr = analyze_results(input_file, is_testbed)
File "./run-analysis.py", line 169, in analyze_results
fields2 = fields1[2].split()
IndexError: list index out of range
anyone can help me please?

Assertion Error: Framework is not detected correctly from model format

I am trying Intel Low precision Optimization tool and I am following this github(https://github.com/intel/lpot/tree/master/examples/tensorflow/object_detection).When I run the quantization command as below
bash run_tuning.sh --config=ssd_mobilenet_v1.yaml --input_model=ssd_mobilenet_v1_coco_2018_01_28/frozen_inference_graph.pb --output_model=./tensorflow-ssd_mobilenet_v1-tune.pb
I am getting the below error.
Traceback (most recent call last):
File "main.py", line 60, in <module>
evaluate_opt_graph.run()
File "main.py", line 48, in run
quantizer.model = self.args.input_graph
File "/home/uxxxxx/.conda/envs/lpot/lib/python3.7/site-packages/lpot/experimental/component.py", line 334, in model
self._model = Model(user_model)
File "/home/uxxxxx/.conda/envs/lpot/lib/python3.7/site-packages/lpot/experimental/common/model.py", line 43, in __new__
assert False, 'Framework is not detected correctly from model format.'
AssertionError: Framework is not detected correctly from model format.
Please help!
This is because your input model path needs some correction.
Use ./ssd instead of ssd. It worked for me.
Regards

“ValueError: too many values to unpack (expected 3)” when trying to run StyleGAN2 generating command

Got this error when trying to use Derrick Schultz's repository for StyleGAN2 neural training in Google Colab https://github.com/dvschultz/ai/blob/master/StyleGAN2_Colab_Train.ipynb
The command were:
!python run_generator.py generate-images --network=/content/drive/My\ Drive/stylegan2-colab-test/stylegan2/results/00002-stylegan2-birdaus-1gpu-config-f/submit_config.pkl --seeds=3875451-3876000 --truncation-psi=0.7
Everything prior were done as in the tutorial but with my own dataset. But then I got:
Local submit - run_dir: results/00006-generate-images
dnnlib: Running run_generator.generate_images() on localhost...
Loading networks from "/content/drive/My Drive/stylegan2-colab-test/stylegan2/results/00002-stylegan2-birdaus-1gpu-config-f/submit_config.pkl"...
Traceback (most recent call last):
File "run_generator.py", line 490, in <module>
main()
File "run_generator.py", line 485, in main
dnnlib.submit_run(sc, func_name_map[subcmd], **kwargs)
File "/content/drive/My Drive/stylegan2-colab-test/stylegan2/dnnlib/submission/submit.py", line 343, in submit_run
return farm.submit(submit_config, host_run_dir)
File "/content/drive/My Drive/stylegan2-colab-test/stylegan2/dnnlib/submission/internal/local.py", line 22, in submit
return run_wrapper(submit_config)
File "/content/drive/My Drive/stylegan2-colab-test/stylegan2/dnnlib/submission/submit.py", line 280, in run_wrapper
run_func_obj(**submit_config.run_func_kwargs)
File "/content/drive/My Drive/stylegan2-colab-test/stylegan2/run_generator.py", line 120, in generate_images
_G, _D, Gs = pretrained_networks.load_networks(network_pkl)
File "/content/drive/My Drive/stylegan2-colab-test/stylegan2/pretrained_networks.py", line 76, in load_networks
G, D, Gs = pickle.load(stream, encoding='latin1')
ValueError: too many values to unpack (expected 3)
This code were supposed to work as is, but doesn't. Unfortunately I'm not a coder myself. What needs to be changed here?

Tuple index out of range : Audio to spectrogram

I am trying to run an audio to spectrogram script, namely:
https://github.com/grrrr/nsgt/tree/master/examples
When I try python spectrogram.py myaudio.wav
I get the error:
Traceback (most recent call last):
File "spectrogram.py", line 111, in <module>
coefs = assemble_coeffs(c, ncoefs)
File "spectrogram.py", line 27, in assemble_coeffs
out = np.empty((ncoefs,cq0.shape[1],cq0.shape[2]), dtype=cq0.dtype)
IndexError: tuple index out of range
Am I doing something wrong?
Please advise! :)
you can run it with just the argument --matrixform added.
I suggest you to see this issue! from the github project it can help you

Creating a track object with track_from_file method in pyechonest

I am new to python. I am trying to use track_from_file method in pyechonest to create a track object. This is the code I wrote:
from pyechonest import config
from pyechonest.track import track_from_file
config.ECHO_NEST_API_KEY = "KRZG4XOVUQRKI45DP"
f = open("ShayneWard-NoPromises.mp3")
t = track_from_file(f, 'mp3')
But this is not working. I got an EchoNestIOError. This is the full error Traceback that i got.
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "build/bdist.linux-x86_64/egg/pyechonest/track.py", line 243, in track_from_file
File "build/bdist.linux-x86_64/egg/pyechonest/track.py", line 331, in track_from_md5
File "build/bdist.linux-x86_64/egg/pyechonest/track.py", line 209, in _profile
File "build/bdist.linux-x86_64/egg/pyechonest/util.py", line 257, in callm pyechonest.util.
EchoNestIOError: Echo Nest Unknown Error
Can anyone tell me what have I done wrong?
I finally figured it out. It seems that the upload does not take place through the proxy server of my university network which uses NAT.

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