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Is there any augmentation tool for images and bounding boxes?
2019 Community Moderator ElectionIs there a straightforward way to run pandas.DataFrame.isin in parallel?Perform several different torchvision.transforms on ImageFolder objectData augmentation: rotating images and zero valuesWhat are helpful annotation tools (if any)How can I use a string as input in a neural network?Bounding Boxes in YOLO ModelHow to obtain and load a good initial data set for object localization?Approach fpr extracting/cropping features images using deeplearning and no annotationswhat is the best approach to detect small objects with similar shape?How to detect different brands of milk
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I don't have a lot of training data and I'm looking for some tools in python or executable program like labelimg that do some heavy augmentation on images, even better if they also change bounding boxes coordinate accordingly. Any help will be appreciated!
python computer-vision tools data-augmentation
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add a comment |
$begingroup$
I don't have a lot of training data and I'm looking for some tools in python or executable program like labelimg that do some heavy augmentation on images, even better if they also change bounding boxes coordinate accordingly. Any help will be appreciated!
python computer-vision tools data-augmentation
$endgroup$
add a comment |
$begingroup$
I don't have a lot of training data and I'm looking for some tools in python or executable program like labelimg that do some heavy augmentation on images, even better if they also change bounding boxes coordinate accordingly. Any help will be appreciated!
python computer-vision tools data-augmentation
$endgroup$
I don't have a lot of training data and I'm looking for some tools in python or executable program like labelimg that do some heavy augmentation on images, even better if they also change bounding boxes coordinate accordingly. Any help will be appreciated!
python computer-vision tools data-augmentation
python computer-vision tools data-augmentation
edited 6 mins ago
AlexK
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asked Mar 18 at 4:01
Hoang Dang TuanHoang Dang Tuan
355
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2 Answers
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I think you should look into imgaug. It supports most image augmentation and does have support for bounding boxes.
Docs: https://imgaug.readthedocs.io/en/latest/
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Thank a lot Simon! Just what I'm looking for
$endgroup$
– Hoang Dang Tuan
Mar 19 at 6:17
add a comment |
$begingroup$
Other widely used Python libraries for data augmentation include:
OpenCV: has functions/methods for bounding boxes, changing color space, scaling, cropping, translation, rotation, filters, blur, thresholding, etc.
Scikit-image: also has features allowing converting from another color space to another, resizing/rescaling/rotating, erosion/dilation, filters, etc.
Pillow: also has features for color space conversion, resizing/rotation/cropping, filters, pixel-level transformations, etc.
New contributor
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
I think you should look into imgaug. It supports most image augmentation and does have support for bounding boxes.
Docs: https://imgaug.readthedocs.io/en/latest/
$endgroup$
$begingroup$
Thank a lot Simon! Just what I'm looking for
$endgroup$
– Hoang Dang Tuan
Mar 19 at 6:17
add a comment |
$begingroup$
I think you should look into imgaug. It supports most image augmentation and does have support for bounding boxes.
Docs: https://imgaug.readthedocs.io/en/latest/
$endgroup$
$begingroup$
Thank a lot Simon! Just what I'm looking for
$endgroup$
– Hoang Dang Tuan
Mar 19 at 6:17
add a comment |
$begingroup$
I think you should look into imgaug. It supports most image augmentation and does have support for bounding boxes.
Docs: https://imgaug.readthedocs.io/en/latest/
$endgroup$
I think you should look into imgaug. It supports most image augmentation and does have support for bounding boxes.
Docs: https://imgaug.readthedocs.io/en/latest/
answered Mar 18 at 7:54
Simon LarssonSimon Larsson
52312
52312
$begingroup$
Thank a lot Simon! Just what I'm looking for
$endgroup$
– Hoang Dang Tuan
Mar 19 at 6:17
add a comment |
$begingroup$
Thank a lot Simon! Just what I'm looking for
$endgroup$
– Hoang Dang Tuan
Mar 19 at 6:17
$begingroup$
Thank a lot Simon! Just what I'm looking for
$endgroup$
– Hoang Dang Tuan
Mar 19 at 6:17
$begingroup$
Thank a lot Simon! Just what I'm looking for
$endgroup$
– Hoang Dang Tuan
Mar 19 at 6:17
add a comment |
$begingroup$
Other widely used Python libraries for data augmentation include:
OpenCV: has functions/methods for bounding boxes, changing color space, scaling, cropping, translation, rotation, filters, blur, thresholding, etc.
Scikit-image: also has features allowing converting from another color space to another, resizing/rescaling/rotating, erosion/dilation, filters, etc.
Pillow: also has features for color space conversion, resizing/rotation/cropping, filters, pixel-level transformations, etc.
New contributor
$endgroup$
add a comment |
$begingroup$
Other widely used Python libraries for data augmentation include:
OpenCV: has functions/methods for bounding boxes, changing color space, scaling, cropping, translation, rotation, filters, blur, thresholding, etc.
Scikit-image: also has features allowing converting from another color space to another, resizing/rescaling/rotating, erosion/dilation, filters, etc.
Pillow: also has features for color space conversion, resizing/rotation/cropping, filters, pixel-level transformations, etc.
New contributor
$endgroup$
add a comment |
$begingroup$
Other widely used Python libraries for data augmentation include:
OpenCV: has functions/methods for bounding boxes, changing color space, scaling, cropping, translation, rotation, filters, blur, thresholding, etc.
Scikit-image: also has features allowing converting from another color space to another, resizing/rescaling/rotating, erosion/dilation, filters, etc.
Pillow: also has features for color space conversion, resizing/rotation/cropping, filters, pixel-level transformations, etc.
New contributor
$endgroup$
Other widely used Python libraries for data augmentation include:
OpenCV: has functions/methods for bounding boxes, changing color space, scaling, cropping, translation, rotation, filters, blur, thresholding, etc.
Scikit-image: also has features allowing converting from another color space to another, resizing/rescaling/rotating, erosion/dilation, filters, etc.
Pillow: also has features for color space conversion, resizing/rotation/cropping, filters, pixel-level transformations, etc.
New contributor
edited 3 hours ago
New contributor
answered 3 hours ago
AlexKAlexK
1135
1135
New contributor
New contributor
add a comment |
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