Euresys adds EasyLocate to suite of powerful image analysis libraries

Product / 04.2021


The Open eVision Libraries from Euresys are some of the powerful image analysis libraries and software tools available in the machine vision market today. And now the next iteration of its Deep Learning libraries, EasyLocate is launched, joining existing products such as EasySegment and EasyClassify.

 

Check out our complete article about EasyLocate and see how it fits-in with the rest of the product range.

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EasyLocate article

 

 

EasyLocate 

Deep Learning localization and classification library

 

EasyLocate is the localization and identification library of Deep Learning Bundle. It is used to locate and identify objects, products, or defects in the image. It has the capability of distinguishing overlapping objects and, as such, EasyLocate is suitable for counting the number of object instances. In practice, EasyLocate predicts the bounding box surrounding each object, or defect, it has found in the image and assigns a class label to each bounding box. It must be trained with images where the objects or defects that must be found have been annotated with a bounding box and a class label.
 

At a glance
  • Localization and identification of objects/products/defects
  • ​Counting of objects
  • Supports data augmentation and masks
  • Compatible with CPU and GPU processing
  • Includes the free Deep Learning Studio application for dataset creation, training and evaluation
  • Only available as part of the Deep Learning Bundle
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EasyClassify

Deep Learning classification library

 
EasyClassify is the classification tool of Deep Learning Bundle. EasyClassify requires the user to label training images, that is to tell which ones are good and which ones are bad, or which ones belong to which class. After this learning/training process, the EasyClassify library is able to classify images. For any given image, it returns a list of probabilities, showing the likelihood that the image belongs to each of the classes it has been taught.
For example, if the process requires setting apart bad parts from good ones, EasyClassify returns whether each part is good or bad, and with what probability.
 
At a glance
  • Includes functions for classifier training and image classification
  • Able to detect defective products or sort products into various classes
  • Supports data augmentation, works with as few as one hundred training images per class
  • Compatible with CPU and GPU processing
  • Includes the free Deep Learning Studio application for dataset creation, training and evaluation
  • Only available as part of the Deep Learning Bundle
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EasySegment

Deep Learning segmentation library

 
EasySegment is the segmentation tool of Deep Learning Bundle. EasySegment performs defect detection and segmentation. It identifies parts that contain defects, and precisely pinpoints where they are in the image. The unsupervised mode of EasySegment works by learning a model of what is a “good” sample (i.e. a sample without any defect). This is done by training it only with images of “good” samples. Then, the tool can be used to classify new images as good or defective and segment the defects from these images. By training only with images of good samples, the unsupervised mode of EasySegment is able to perform inspection even when the type of defect is not known beforehand or when defective samples are not readily available.

The supervised mode of EasySegment works by learning a model of what is a defect and what is a “good” part in an image. This is done by training with images annotated with the expected segmentation. Then, the tool can be used to detect and segment the defects in new images. The supervised mode of EasySegment achieves better precision and can segment more complex defects than the unsupervised mode thanks to the knowledge of the expected segmentation.
 
At a glance
  • Unsupervised mode: train only with “good” images to detect and segment anomalies and defects in new images
  • Supervised mode: learn a model of the defects for better segmentation and detection precision
  • Works with any image resolution
  • Supports data augmentation and masks
  • Compatible with CPU and GPU processing
  • Includes the free Deep Learning Studio application for dataset creation, training and evaluation
  • Only available as part of the Deep Learning Bundle
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More info about our Deep Learning Bundle