[Feature]Add coco, lvis and voc dataset download script based on pr #6715#7015
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ZwwWayne merged 18 commits intoopen-mmlab:devfrom Jan 19, 2022
Czm369:coco_download
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[Feature]Add coco, lvis and voc dataset download script based on pr #6715#7015ZwwWayne merged 18 commits intoopen-mmlab:devfrom Czm369:coco_download
ZwwWayne merged 18 commits intoopen-mmlab:devfrom
Czm369:coco_download
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You can use command "python tools/download.py --win --unzip" to download coco dataset. Linux for using command "python tools/download.py --unzip"
ZwwWayne
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Jan 17, 2022
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@@ Coverage Diff @@
## dev #7015 +/- ##
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Coverage 62.39% 62.39%
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Files 329 329
Lines 26176 26176
Branches 4432 4432
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Hits 16332 16332
- Misses 8974 8975 +1
+ Partials 870 869 -1
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RangiLyu
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Jan 17, 2022
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Add documentation of this tool in docs/en/1_exist_data_model.md and docs/en/useful_tools.md. |
…/zh_cn/1_exist_data_model.md and docs/en/useful_tools.md.
RangiLyu
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RangiLyu
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hhaAndroid
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hhaAndroid
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hhaAndroid
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hhaAndroid
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hhaAndroid
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hhaAndroid
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ZwwWayne
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Jan 19, 2022
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Feb 21, 2022
…pen-mmlab#6715 (open-mmlab#7015) * Add coco dataset download script You can use command "python tools/download.py --win --unzip" to download coco dataset. Linux for using command "python tools/download.py --unzip" * Add coco dataset download script * Add coco dataset download script * Add coco dataset download script * add some notes and modify dataset urls * add some notes and modify dataset urls * remove some useless lines and modify urls list to dict * add urls of lvis and voc, and delete --win * add parse_args() * Add documentation of this tool in docs/en/1_exist_data_model.md, docs/zh_cn/1_exist_data_model.md and docs/en/useful_tools.md. * add a link * Download files regardless of system。 * Use get() of dict * add empty line above the code block * Update useful_tools.md Co-authored-by: q3394101 <92794867+q3394101@users.noreply.github.com> Co-authored-by: q3394101 <3394101@qq.com> Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>
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Jul 18, 2022
…6715 (#7015) * Add coco dataset download script You can use command "python tools/download.py --win --unzip" to download coco dataset. Linux for using command "python tools/download.py --unzip" * Add coco dataset download script * Add coco dataset download script * Add coco dataset download script * add some notes and modify dataset urls * add some notes and modify dataset urls * remove some useless lines and modify urls list to dict * add urls of lvis and voc, and delete --win * add parse_args() * Add documentation of this tool in docs/en/1_exist_data_model.md, docs/zh_cn/1_exist_data_model.md and docs/en/useful_tools.md. * add a link * Download files regardless of system。 * Use get() of dict * add empty line above the code block * Update useful_tools.md Co-authored-by: q3394101 <92794867+q3394101@users.noreply.github.com> Co-authored-by: q3394101 <3394101@qq.com> Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>
ZwwWayne
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Jul 19, 2022
…pen-mmlab#6715 (open-mmlab#7015) * Add coco dataset download script You can use command "python tools/download.py --win --unzip" to download coco dataset. Linux for using command "python tools/download.py --unzip" * Add coco dataset download script * Add coco dataset download script * Add coco dataset download script * add some notes and modify dataset urls * add some notes and modify dataset urls * remove some useless lines and modify urls list to dict * add urls of lvis and voc, and delete --win * add parse_args() * Add documentation of this tool in docs/en/1_exist_data_model.md, docs/zh_cn/1_exist_data_model.md and docs/en/useful_tools.md. * add a link * Download files regardless of system。 * Use get() of dict * add empty line above the code block * Update useful_tools.md Co-authored-by: q3394101 <92794867+q3394101@users.noreply.github.com> Co-authored-by: q3394101 <3394101@qq.com> Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>
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Motivation
Add a script to download coco2017, lvis, voc2007 dataset based on #6715
Modification
Add a python file in tools/misc
BC-breaking (Optional)
This script do not link any other files
Use cases (Optional)
You can use command "python tools/download.py " to download coco2017 dataset.
Linux for using command "python tools/misc/download.py
You can alse use flag --unzip to unzip the zipfiles
such as python tools/misc/download.py --unzip
Checklist