flipud: 0.0 # image flip up-down (probability) fliplr: 0.5 # image flip left-right (probability) mosaic: 1.0 # image mosaic (probability) mixup: 0.0 # image mixup (probability) copy_paste: 0.0 # segment copy-paste (probability) Next, you can briefly look at the structure of theYOLOv5s...
So far, research on quantum image representation has gone through more than 20 years. During this time, the quantum image representation models used have almost all been based on state vectors. However, in practical problems, the environment and the prin
flip_left_right(probability=0.5) p.zoom_random(probability=0.5, percentage_area=0.8) p.flip_top_bottom(probability=0.5) p.sample(50) Multiple Mask/Image Augmentation Using the DataPipeline class (Augmentor version >= 0.2.3), images that have multiple associated masks can be augmented: Multiple...
Cancel Create saved search Sign in Sign up Reseting focus {{ message }} NoguchiYukiyasu / imgaug Public forked from aleju/imgaug Notifications You must be signed in to change notification settings Fork 0 Star 0 Image augmentation for machine learning experiments. ...
Due to depth of AI processing, depending on image size this operation can take up to 20 seconds. Parameters 展开表 NameKeyRequiredTypeDescription The style of the painting to apply. To start, try "udnie" a painting ... style True string The style of the painting to apply. To start,...
* flip_prob: The probability at which to flip the image * direction: The flipping direction 0-1 horizontal,vertical RandomCrop dict config int/ List int int str None Contains the following configurable parameters: * size: The desired output size of the crop * padding: Optional padding ...
The exponential growth of various complex images is putting tremendous pressure on storage systems. Here, we propose a memristor-based storage system with an integrated near-storage in-memory computing-based convolutional autoencoder compression network
In the human visual system, attention can be directed by top-down class-aware guidance, which involves identifying important regions based on high-level tasks like classification, as well as by bottom-up class-agnostic guidance, which involves detecting salient regions that are distinct from their ...
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