Comments (4)
Hi @mdbloice , Thanks for the reply. My test code is as follow:
import Augmentor
p = Augmentor.Pipeline(img_path) # img_path: folder path of the images
p.ground_truth(label_path) # label_path: folder path of the labels
p.random_erasing(probability=0.8, rectangle_area=0.5)
p.sample(10)
Augmentor works very well for flipping, but for some more complex operations like distortion, erasing, and borders there will be some undesired masks
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Hi, @mdbloice, it seems I also face a similar problem described by @Superzlw .
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I updated the code in version 0.2.11 of Augmentor just now. Try upgrading with pip install --upgrade Augmentor
and let me know if this works for you now... 🤔
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Hi @Superzlw I will have to take a look at this more closely and try to find a fix... so you are passing images and their masks (as pairs) in to the pipeline, and augmenting them as normal?
If you could show some code that you are using to do this, that would help! If I can see your code I am sure we can fix it.
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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
- 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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