Notebook HERE
\nDataset HERE
\nThis notebook was Inspired by this great notebook. I made a few improvements in the rle2mask code to make it more efficient and used the tools provided in pycocotools for everything else. This results in a massive reduction of computing time and dataset size.
Notebook HERE
\nDataset HERE
\nThis notebook was Inspired by this great notebook. I made a few improvements in the rle2mask code to make it more efficient and used the tools provided in pycocotools for everything else. This results in a massive reduction of computing time and dataset size.
Oh, that's cool. I actually tried doing it that way but failed on saving the compressed representation to json. It's possible I was only missing .decode('utf-8') /facepalm
Thanks for fixing I've added a note in my notebook to redirect to yours. What's the size of the file with all the samples?
", "rawMarkdown": "Oh, that's cool. I actually tried doing it that way but failed on saving the compressed representation to json. It's possible I was only missing `.decode('utf-8')` /facepalm\n\nThanks for fixing I've added a note in my notebook to redirect to yours. What's the size of the file with all the samples?", "votes": null }, { "id": "1572073", "postDate": "11/05/2021 11:50:56", "content": "\n\nWhat's the size of the file with all the samples?
\n
It's around 38 MB.
\nBtw, thanks for sharing your baseline. I learned a lot from it.
", "rawMarkdown": "> What's the size of the file with all the samples?\n\nIt's around 38 MB.\n\nBtw, thanks for sharing your baseline. I learned a lot from it.", "votes": null }, { "id": "1572253", "postDate": "11/05/2021 14:59:01", "content": "@slawekbiel don't be ashamed, I spent like 1h googling to find a fix for that! lmao
", "rawMarkdown": "slawekbiel don't be ashamed, I spent like 1h googling to find a fix for that! lmao", "votes": null } ], "comments": [ { "id": 1572002, "author_name": "slawekbiel", "author_url": "", "post_date": "11/05/2021 10:47:16", "content": "Oh, that's cool. I actually tried doing it that way but failed on saving the compressed representation to json. It's possible I was only missing .decode('utf-8') /facepalm
Thanks for fixing I've added a note in my notebook to redirect to yours. What's the size of the file with all the samples?
", "votes": null, "replies": [ { "id": 1572073, "author_name": "atharvaingle", "author_url": "", "post_date": "11/05/2021 11:50:56", "content": "\n\nWhat's the size of the file with all the samples?
\n
It's around 38 MB.
\nBtw, thanks for sharing your baseline. I learned a lot from it.
", "votes": null, "replies": [] }, { "id": 1572253, "author_name": "coldfir3", "author_url": "", "post_date": "11/05/2021 14:59:01", "content": "@slawekbiel don't be ashamed, I spent like 1h googling to find a fix for that! lmao
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "1571640": "Notebook [HERE](https://www.kaggle.com/coldfir3/efficient-coco-dataset-generator?scriptVersionId=78875004)\n\nDataset [HERE](https://www.kaggle.com/coldfir3/sartorius-coco-dataset)\n\nThis notebook was Inspired by [this](https://www.kaggle.com/slawekbiel/positive-score-with-detectron-1-3-input-data?scriptVersionId=77658860) great notebook. I made a few improvements in the `rle2mask` code to make it more efficient and used the tools provided in `pycocotools` for everything else. This results in a massive reduction of computing time and dataset size.", "1572002": "Oh, that's cool. I actually tried doing it that way but failed on saving the compressed representation to json. It's possible I was only missing `.decode('utf-8')` /facepalm\n\nThanks for fixing I've added a note in my notebook to redirect to yours. What's the size of the file with all the samples?", "1572073": "> What's the size of the file with all the samples?\n\nIt's around 38 MB.\n\nBtw, thanks for sharing your baseline. I learned a lot from it.", "1572253": "slawekbiel don't be ashamed, I spent like 1h googling to find a fix for that! lmao" }, "source": "meta" }