Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[train_task_classifyapp.py] Cannot sample 1500 from 0 files found in task/classifyapp/ir_train/1 #4

Closed
GostD opened this issue Feb 22, 2019 · 2 comments · Fixed by #9
Closed

[train_task_classifyapp.py] Cannot sample 1500 from 0 files found in task/classifyapp/ir_train/1 #4

GostD opened this issue Feb 22, 2019 · 2 comments · Fixed by #9

Comments

@GostD
Copy link

GostD commented Feb 22, 2019 •
edited
Loading

I called python train_task_classifyapp.py and got this output:

Evaluating ClassifyappInst2Vec ...
Getting file names for 104 classes from folders:
task/classifyapp/ir_train
task/classifyapp/ir_val
task/classifyapp/ir_test
	training  : Read file names from folder  task/classifyapp/ir_train/1
 Traceback (most recent call last):
  File "train_task_classifyapp.py", line 478, in <module>
    app.run(main)
  File "/home/selp/.local/lib/python3.6/site-packages/absl/app.py", line 300, in run
    _run_main(main, args)
  File "/home/selp/.local/lib/python3.6/site-packages/absl/app.py", line 251, in _run_main
    sys.exit(main(argv))
  File "train_task_classifyapp.py", line 470, in main
    dense_layer_size, print_summary, num_epochs, batch_size)
  File "train_task_classifyapp.py", line 289, in evaluate
    len(seq_files)) + " files found in " + folder
AssertionError: Cannot sample 1500 from 0 files found in task/classifyapp/ir_train/1
@GostD
Copy link
Author

GostD commented Feb 22, 2019

As far as I understand, this line

classifyapp_accuracy = evaluate(NCC_classifyapp(), embeddings, folder_data, 
    train_samples, folder_results, dense_layer_size,
    print_summary, num_epochs, batch_size)

should be replaced with this line

classifyapp_accuracy = evaluate(NCC_classifyapp(), embeddings, "task/classifyapp/seq", 
    train_samples, folder_results, dense_layer_size, 
    print_summary, num_epochs, batch_size)

Am I right?

@tbennun
Copy link
Collaborator

tbennun commented Feb 23, 2019 •
edited
Loading

Hi @GostD,

Did you extract the dataset in the correct folder? As mentioned in the README, it can be found at: https://polybox.ethz.ch/index.php/s/JOBjrfmAjOeWCyl

@tbennun tbennun closed this as completed Apr 8, 2019
@natalymr natalymr mentioned this issue Apr 24, 2019
Closed
Zacharias030 added a commit to Zacharias030/ncc that referenced this issue May 6, 2019
@Zacharias030
Fixes spcl#4 and spcl#6 by being slightly more verbose.
c3300a9 
Made changes to let tensorflow only block as much GPU memory as necessary.
Fixed path for saving weights on ctrl+C and path scheme for models and predictions of classifyapp task.
@Zacharias030 Zacharias030 mentioned this issue May 6, 2019
Merged
tbennun added a commit that referenced this issue May 13, 2019
@tbennun
Merge pull request #9 from Zacharias030/master
aede8d0 
Fixes #4, #6 and minor improvements
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

Successfully merging a pull request may close this issue.

Fixes #4, #6 and minor improvements Zacharias030/ncc
2 participants
@tbennun @GostD