Does anyone have useful tips to debug the submission scoring error ? In my case, i use the same code that successfully submit before, same model only train on different fold and get the error.
\nAny help will be highly appreciated.
", "messages": [ { "id": "2290639", "postDate": "06/07/2023 02:10:03", "content": "Does anyone have useful tips to debug the submission scoring error ? In my case, i use the same code that successfully submit before, same model only train on different fold and get the error.
\nAny help will be highly appreciated.
", "rawMarkdown": "Does anyone have useful tips to debug the submission scoring error ? In my case, i use the same code that successfully submit before, same model only train on different fold and get the error.\n\nAny help will be highly appreciated.", "votes": null }, { "id": "2292064", "postDate": "06/08/2023 03:50:55", "content": "you may want to check encoded masks, did you rescale your masks to origin image size before encode it?
", "rawMarkdown": "you may want to check encoded masks, did you rescale your masks to origin image size before encode it?", "votes": null }, { "id": "2292274", "postDate": "06/08/2023 07:17:26", "content": "I infer with size 512 x 512. Also i already have a function to check the mask size output before encoded and everything seem normal
", "rawMarkdown": "I infer with size 512 x 512. Also i already have a function to check the mask size output before encoded and everything seem normal", "votes": null }, { "id": "2295806", "postDate": "06/11/2023 08:55:42", "content": "I also only get submission scoring error no matter what I try. Submitting the original sample submission itself, or even just creating a normal submission.csv for the given data but pasting the sample submission's prediction string into every row, all throw a scoring error no matter what.
", "rawMarkdown": "I also only get submission scoring error no matter what I try. Submitting the original sample submission itself, or even just creating a normal submission.csv for the given data but pasting the sample submission's prediction string into every row, all throw a scoring error no matter what.", "votes": null }, { "id": "2296319", "postDate": "06/11/2023 18:00:52", "content": "I'm in the same situation. I have not been able to reach a succesful submission with our baseline and we only get this error. One question: is it mandatory to encode 512x512 binary masks? Does it affect to have a different size?
\nI have also tried to submit the sample_submission.csv and I didn't make it work. I opened it with Pandas (pd.read_csv(…)) and then I made a submission.to_csv(\"submission.csv\") and I'm still getting the error. Is this wrong?
\nThank you so much in advance, we are newcomers in my team and every bit of help is super useful 😁
", "rawMarkdown": "I'm in the same situation. I have not been able to reach a succesful submission with our baseline and we only get this error. One question: is it mandatory to encode 512x512 binary masks? Does it affect to have a different size?\n\nI have also tried to submit the sample_submission.csv and I didn't make it work. I opened it with Pandas (pd.read_csv(...)) and then I made a submission.to_csv(\"submission.csv\") and I'm still getting the error. Is this wrong?\n\nThank you so much in advance, we are newcomers in my team and every bit of help is super useful 😁", "votes": null }, { "id": "2316403", "postDate": "06/24/2023 21:39:46", "content": "Hi! Have you been able to figure out the problem?
\nAny help will be greatly appreciated
", "rawMarkdown": "Hi! Have you been able to figure out the problem?\n\nAny help will be greatly appreciated", "votes": null }, { "id": "2316699", "postDate": "06/25/2023 07:09:36", "content": "I personally ended up taking one of the sample dummy submission notebooks and slowly integrating it with my model step by step while making test submissions.
", "rawMarkdown": "I personally ended up taking one of the sample dummy submission notebooks and slowly integrating it with my model step by step while making test submissions.", "votes": null } ], "comments": [ { "id": 2292064, "author_name": "ptran1203", "author_url": "", "post_date": "06/08/2023 03:50:55", "content": "you may want to check encoded masks, did you rescale your masks to origin image size before encode it?
", "votes": null, "replies": [ { "id": 2292274, "author_name": "researchbntz", "author_url": "", "post_date": "06/08/2023 07:17:26", "content": "I infer with size 512 x 512. Also i already have a function to check the mask size output before encoded and everything seem normal
", "votes": null, "replies": [] } ] }, { "id": 2295806, "author_name": "ms0kol", "author_url": "", "post_date": "06/11/2023 08:55:42", "content": "I also only get submission scoring error no matter what I try. Submitting the original sample submission itself, or even just creating a normal submission.csv for the given data but pasting the sample submission's prediction string into every row, all throw a scoring error no matter what.
", "votes": null, "replies": [] }, { "id": 2296319, "author_name": "santimontieleu", "author_url": "", "post_date": "06/11/2023 18:00:52", "content": "I'm in the same situation. I have not been able to reach a succesful submission with our baseline and we only get this error. One question: is it mandatory to encode 512x512 binary masks? Does it affect to have a different size?
\nI have also tried to submit the sample_submission.csv and I didn't make it work. I opened it with Pandas (pd.read_csv(…)) and then I made a submission.to_csv(\"submission.csv\") and I'm still getting the error. Is this wrong?
\nThank you so much in advance, we are newcomers in my team and every bit of help is super useful 😁
", "votes": null, "replies": [] }, { "id": 2316403, "author_name": "aschamp", "author_url": "", "post_date": "06/24/2023 21:39:46", "content": "Hi! Have you been able to figure out the problem?
\nAny help will be greatly appreciated
", "votes": null, "replies": [ { "id": 2316699, "author_name": "ms0kol", "author_url": "", "post_date": "06/25/2023 07:09:36", "content": "I personally ended up taking one of the sample dummy submission notebooks and slowly integrating it with my model step by step while making test submissions.
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "2290639": "Does anyone have useful tips to debug the submission scoring error ? In my case, i use the same code that successfully submit before, same model only train on different fold and get the error.\n\nAny help will be highly appreciated.", "2292064": "you may want to check encoded masks, did you rescale your masks to origin image size before encode it?", "2292274": "I infer with size 512 x 512. Also i already have a function to check the mask size output before encoded and everything seem normal", "2295806": "I also only get submission scoring error no matter what I try. Submitting the original sample submission itself, or even just creating a normal submission.csv for the given data but pasting the sample submission's prediction string into every row, all throw a scoring error no matter what.", "2296319": "I'm in the same situation. I have not been able to reach a succesful submission with our baseline and we only get this error. One question: is it mandatory to encode 512x512 binary masks? Does it affect to have a different size?\n\nI have also tried to submit the sample_submission.csv and I didn't make it work. I opened it with Pandas (pd.read_csv(...)) and then I made a submission.to_csv(\"submission.csv\") and I'm still getting the error. Is this wrong?\n\nThank you so much in advance, we are newcomers in my team and every bit of help is super useful 😁", "2316403": "Hi! Have you been able to figure out the problem?\n\nAny help will be greatly appreciated", "2316699": "I personally ended up taking one of the sample dummy submission notebooks and slowly integrating it with my model step by step while making test submissions." }, "source": "meta" }