Hello everyone,
\n\nI ran my code for creating spectograms for the training set (code can be found here: https://www.kaggle.com/pranavkasela/parallelized-spectrogram-for-cnn?rvi=1 , since it takes a long time to create (4 hours), I decided to make a short guide on how to import the spectograms in your kernel:\n1) First click Add Data in you notebook:\n![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1068389%2F4f7cf56e783b400285624164a0ddf846%2FCapture%20-%201.PNG?generation=1592406786921197&alt=media\")
\n2) Now Click on the Kernel Output files (Red) and search for my user name pranav kasela (Blue) and add the data corresponding to the spectogram file (Lime)\n![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1068389%2F04fd5d30ea9f76d546ccee91cc66d128%2FCapture%20-%202.PNG?generation=1592406905674209&alt=media\")
\n3) wait a few second for kaggle to import this data set and use can find it at the following path:\n![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1068389%2Fc9b1443c2c11929be9d30157ad7024c2%2FCapture%20-%203.PNG?generation=1592407048585184&alt=media\")
Upvote the kernel if it was useful for you. :)
", "messages": [ { "id": "890570", "postDate": "06/17/2020 15:18:39", "content": "Hello everyone,
\n\nI ran my code for creating spectograms for the training set (code can be found here: https://www.kaggle.com/pranavkasela/parallelized-spectrogram-for-cnn?rvi=1 , since it takes a long time to create (4 hours), I decided to make a short guide on how to import the spectograms in your kernel:\n1) First click Add Data in you notebook:\n\n2) Now Click on the Kernel Output files (Red) and search for my user name pranav kasela (Blue) and add the data corresponding to the spectogram file (Lime)\n\n3) wait a few second for kaggle to import this data set and use can find it at the following path:\n
Upvote the kernel if it was useful for you. :)
", "rawMarkdown": "Hello everyone,\n\nI ran my code for creating spectograms for the training set (code can be found here: https://www.kaggle.com/pranavkasela/parallelized-spectrogram-for-cnn?rvi=1 , since it takes a long time to create (4 hours), I decided to make a short guide on how to import the spectograms in your kernel:\n1) First click Add Data in you notebook:\n\n2) Now Click on the Kernel Output files (Red) and search for my user name **pranav kasela** (Blue) and add the data corresponding to the spectogram file (Lime)\n\n3) wait a few second for kaggle to import this data set and use can find it at the following path:\n\n\nUpvote the kernel if it was useful for you. :)", "votes": null }, { "id": "893681", "postDate": "06/19/2020 19:52:49", "content": "Thanks! Might be useful!
", "rawMarkdown": "Thanks! Might be useful!", "votes": null } ], "comments": [ { "id": 893681, "author_name": "kaspds", "author_url": "", "post_date": "06/19/2020 19:52:49", "content": "Thanks! Might be useful!
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "890570": "Hello everyone,\n\nI ran my code for creating spectograms for the training set (code can be found here: https://www.kaggle.com/pranavkasela/parallelized-spectrogram-for-cnn?rvi=1 , since it takes a long time to create (4 hours), I decided to make a short guide on how to import the spectograms in your kernel:\n1) First click Add Data in you notebook:\n\n2) Now Click on the Kernel Output files (Red) and search for my user name **pranav kasela** (Blue) and add the data corresponding to the spectogram file (Lime)\n\n3) wait a few second for kaggle to import this data set and use can find it at the following path:\n\n\nUpvote the kernel if it was useful for you. :)", "893681": "Thanks! Might be useful!" }, "source": "meta" }