Hello!
\n\nI just submitted my first notebook and noticed that in the \"My submissions\" tab, it says that the \"Submission CSV\" was not found. In the commit of my notebook however, it shows the submission.csv file as output where I'm able to see the two columns \"filename\" and \"label\".
\n\nAny help/advice would be highly appreciated!
", "messages": [ { "id": "732642", "postDate": "01/30/2020 03:23:12", "content": "Hello!
\n\nI just submitted my first notebook and noticed that in the \"My submissions\" tab, it says that the \"Submission CSV\" was not found. In the commit of my notebook however, it shows the submission.csv file as output where I'm able to see the two columns \"filename\" and \"label\".
\n\nAny help/advice would be highly appreciated!
", "rawMarkdown": "Hello!\n\nI just submitted my first notebook and noticed that in the \"My submissions\" tab, it says that the \"Submission CSV\" was not found. In the commit of my notebook however, it shows the submission.csv file as output where I'm able to see the two columns \"filename\" and \"label\".\n\nAny help/advice would be highly appreciated!", "votes": null }, { "id": "732684", "postDate": "01/30/2020 05:29:58", "content": "Number of posts in discussion about errors in the submission process. Think at least one talks to the same issue as you had. Your kernel failed before the submission file was written. Those posts talk about ways were the kernel runs fine when you step thru and runs fine when you commit, but than has errors when a larger number of files are processed in the private test.
\n\nI had this error as one of my first - in my case it apparently failed because I was creating too many files (making audio files for each video and not deleting them after use). Inside your kernel at the end before you commit - add some code to list the contents of the output folder. If you have a bunch of files there that would be your root cause.
\n\n!ls -GFlash ../working
total 32K\n4.0K drwxr-xr-x 3 root 4.0K Jan 30 05:27 ./\n4.0K drwxr-xr-x 5 root 4.0K Jan 30 05:23 ../\n4.0K drwxr-xr-x 2 root 4.0K Jan 30 05:23 .ipynb_checkpoints/\n4.0K ---------- 1 root 263 Jan 30 05:23 notebook_source.ipynb\n 16K -rw-r--r-- 1 root 14K Jan 30 05:27 submission.csv
\n\nIf you have lots more than this you got some deleting to do.
", "rawMarkdown": "Number of posts in discussion about errors in the submission process. Think at least one talks to the same issue as you had. Your kernel failed before the submission file was written. Those posts talk about ways were the kernel runs fine when you step thru and runs fine when you commit, but than has errors when a larger number of files are processed in the private test.\n\nI had this error as one of my first - in my case it apparently failed because I was creating too many files (making audio files for each video and not deleting them after use). Inside your kernel at the end before you commit - add some code to list the contents of the output folder. If you have a bunch of files there that would be your root cause.\n\n`!ls -GFlash ../working`\n\ntotal 32K\n4.0K drwxr-xr-x 3 root 4.0K Jan 30 05:27 ./\n4.0K drwxr-xr-x 5 root 4.0K Jan 30 05:23 ../\n4.0K drwxr-xr-x 2 root 4.0K Jan 30 05:23 .ipynb_checkpoints/\n4.0K ---------- 1 root 263 Jan 30 05:23 __notebook_source__.ipynb\n 16K -rw-r--r-- 1 root 14K Jan 30 05:27 submission.csv\n\nIf you have lots more than this you got some deleting to do.", "votes": null }, { "id": "732705", "postDate": "01/30/2020 06:07:39", "content": "Great!\nThanks for the advice. I shall check it out. Also, does it matter if my kernel is printing out a bunch of stuff?
", "rawMarkdown": "Great!\nThanks for the advice. I shall check it out. Also, does it matter if my kernel is printing out a bunch of stuff?", "votes": null }, { "id": "732711", "postDate": "01/30/2020 06:30:18", "content": "Don't think so - I have a lot of print outs that I added as I was trying to figure who the reasons for my month of submission failures.
", "rawMarkdown": "Don't think so - I have a lot of print outs that I added as I was trying to figure who the reasons for my month of submission failures.", "votes": null }, { "id": "734174", "postDate": "02/01/2020 03:56:05", "content": "Please check this topic I made. link I summarized every kind of submission error I met and I've seen before and its solution.
", "rawMarkdown": "Please check this topic I made. [link](https://www.kaggle.com/c/deepfake-detection-challenge/discussion/127824) I summarized every kind of submission error I met and I've seen before and its solution.", "votes": null }, { "id": "736412", "postDate": "02/04/2020 06:45:51", "content": "\"(making audio files for each video and not deleting them after use)\"\nSame for me too\nThanks!
", "rawMarkdown": "\"(making audio files for each video and not deleting them after use)\"\nSame for me too\nThanks!", "votes": null }, { "id": "736531", "postDate": "02/04/2020 10:09:26", "content": "Yea. I had figured out how to solve it the other day. Turned out for video in the private dataset, MTCNN wasn't able to detect any face. So I had to put in an exception in the code to allot a prediction of 0.5 for such cases.\nThanks @unkownhihi and @pcjimmmy
", "rawMarkdown": "Yea. I had figured out how to solve it the other day. Turned out for video in the private dataset, MTCNN wasn't able to detect any face. So I had to put in an exception in the code to allot a prediction of 0.5 for such cases.\nThanks @unkownhihi and @pcjimmmy", "votes": null } ], "comments": [ { "id": 732684, "author_name": "pcjimmmy", "author_url": "", "post_date": "01/30/2020 05:29:58", "content": "Number of posts in discussion about errors in the submission process. Think at least one talks to the same issue as you had. Your kernel failed before the submission file was written. Those posts talk about ways were the kernel runs fine when you step thru and runs fine when you commit, but than has errors when a larger number of files are processed in the private test.
\n\nI had this error as one of my first - in my case it apparently failed because I was creating too many files (making audio files for each video and not deleting them after use). Inside your kernel at the end before you commit - add some code to list the contents of the output folder. If you have a bunch of files there that would be your root cause.
\n\n!ls -GFlash ../working
total 32K\n4.0K drwxr-xr-x 3 root 4.0K Jan 30 05:27 ./\n4.0K drwxr-xr-x 5 root 4.0K Jan 30 05:23 ../\n4.0K drwxr-xr-x 2 root 4.0K Jan 30 05:23 .ipynb_checkpoints/\n4.0K ---------- 1 root 263 Jan 30 05:23 notebook_source.ipynb\n 16K -rw-r--r-- 1 root 14K Jan 30 05:27 submission.csv
\n\nIf you have lots more than this you got some deleting to do.
", "votes": null, "replies": [ { "id": 732705, "author_name": "akashnandi", "author_url": "", "post_date": "01/30/2020 06:07:39", "content": "Great!\nThanks for the advice. I shall check it out. Also, does it matter if my kernel is printing out a bunch of stuff?
", "votes": null, "replies": [] }, { "id": 732711, "author_name": "pcjimmmy", "author_url": "", "post_date": "01/30/2020 06:30:18", "content": "Don't think so - I have a lot of print outs that I added as I was trying to figure who the reasons for my month of submission failures.
", "votes": null, "replies": [] }, { "id": 736412, "author_name": "", "author_url": "", "post_date": "02/04/2020 06:45:51", "content": "\"(making audio files for each video and not deleting them after use)\"\nSame for me too\nThanks!
", "votes": null, "replies": [] } ] }, { "id": 734174, "author_name": "unkownhihi", "author_url": "", "post_date": "02/01/2020 03:56:05", "content": "Please check this topic I made. link I summarized every kind of submission error I met and I've seen before and its solution.
", "votes": null, "replies": [ { "id": 736531, "author_name": "akashnandi", "author_url": "", "post_date": "02/04/2020 10:09:26", "content": "Yea. I had figured out how to solve it the other day. Turned out for video in the private dataset, MTCNN wasn't able to detect any face. So I had to put in an exception in the code to allot a prediction of 0.5 for such cases.\nThanks @unkownhihi and @pcjimmmy
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "732642": "Hello!\n\nI just submitted my first notebook and noticed that in the \"My submissions\" tab, it says that the \"Submission CSV\" was not found. In the commit of my notebook however, it shows the submission.csv file as output where I'm able to see the two columns \"filename\" and \"label\".\n\nAny help/advice would be highly appreciated!", "732684": "Number of posts in discussion about errors in the submission process. Think at least one talks to the same issue as you had. Your kernel failed before the submission file was written. Those posts talk about ways were the kernel runs fine when you step thru and runs fine when you commit, but than has errors when a larger number of files are processed in the private test.\n\nI had this error as one of my first - in my case it apparently failed because I was creating too many files (making audio files for each video and not deleting them after use). Inside your kernel at the end before you commit - add some code to list the contents of the output folder. If you have a bunch of files there that would be your root cause.\n\n`!ls -GFlash ../working`\n\ntotal 32K\n4.0K drwxr-xr-x 3 root 4.0K Jan 30 05:27 ./\n4.0K drwxr-xr-x 5 root 4.0K Jan 30 05:23 ../\n4.0K drwxr-xr-x 2 root 4.0K Jan 30 05:23 .ipynb_checkpoints/\n4.0K ---------- 1 root 263 Jan 30 05:23 __notebook_source__.ipynb\n 16K -rw-r--r-- 1 root 14K Jan 30 05:27 submission.csv\n\nIf you have lots more than this you got some deleting to do.", "732705": "Great!\nThanks for the advice. I shall check it out. Also, does it matter if my kernel is printing out a bunch of stuff?", "732711": "Don't think so - I have a lot of print outs that I added as I was trying to figure who the reasons for my month of submission failures.", "734174": "Please check this topic I made. [link](https://www.kaggle.com/c/deepfake-detection-challenge/discussion/127824) I summarized every kind of submission error I met and I've seen before and its solution.", "736412": "\"(making audio files for each video and not deleting them after use)\"\nSame for me too\nThanks!", "736531": "Yea. I had figured out how to solve it the other day. Turned out for video in the private dataset, MTCNN wasn't able to detect any face. So I had to put in an exception in the code to allot a prediction of 0.5 for such cases.\nThanks @unkownhihi and @pcjimmmy" }, "source": "meta" }