Comments (3)
@mdbloice, Thanks for this awesome library. Just wondering similar to transforming the mask, is it possible to transform the bounding box coordinates as well ?
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Hi @niekverw , yes, this is now finally possible using the ground_truth()
function in the Pipeline
class (as of Augmentor v0.2.0).
Basically, just use this function to point to a directory containing the mask images, and when you generate new image data, images will be generated for both the mask and the original images:
p = Augmentor.Pipeline("/home/user/images")
p.ground_truth("/home/user/mask_images")
Call p.sample()
in the same way as per usual to generate both sets of images.
See the README for more details.
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@mdbloice Hi there, Can you explain more about masks in the ground truth directory? I have image files and annotation files (a text file containing coordinates and dimensions of bounding boxes). My interest is to apply augmentation on image (shift, rotation, or flip), but also similarly to grounding boxes (masks?). Thanks.
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Related Issues (20)
- How to read and output uint16 images with Augmentor?
- moudle 'Augmentor' has no attribute 'Pipeline'
- int() argument must be a string, a bytes-like object or a number, not 'Image' HOT 4
- why random_erasing sometimes cause error, but sometimes not. HOT 1
- OSError: cannot write mode RGBA as JPEG HOT 2
- What augments should you use?
- label interpolate issue
- p.ground_truth not work for p.add_operation HOT 3
- Not cropping skewed image to original image size HOT 1
- Random Ereasing areas too big HOT 5
- Question - Does it updated the labels too? HOT 3
- Use for Semantic Segmentation HOT 4
- Output dataset format Labelme JSON
- ValueError: image has wrong mode HOT 1
- ZeroDivisionError: float division by zero while performing augmentor.sample(num_samples)
- DataPipeline使用sample的时候会报错
- Incompatible with numpy >= 1.20 due to use of type aliases. HOT 1
- Rotation degrees are opposite. HOT 3
- Project dependencies may have API risk issues
- fail to build augmentor 0.2.11 due to a minor typo HOT 1
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