Easy Locate
Deep Learning localization and classification library
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Easy Locate
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.
The Highlight Features
- 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
Key Features
Supported by Neo Licensing System
Data Augmentation which creates additional reference images by modifying (for example by shifting, rotating, scaling) existing reference images within programmable limits.
Deep Learning Bundle supports standard CPUs and automatically detects Nvidia CUDA-compatible GPUs in the PC. Using a single GPU typically accelerates the learning and the processing phases by a factor of 100.
Sample Dataset: Electronic components
Our “Electronic Component” dataset shows how EasyLocate is able to reliably detect and count different kinds of standard electronic components stored in bulk inside plastic bags, in spite of the poor lighting conditions.
Extra Note
- All Open eVision libraries are available for Windows and Linux
- Developed with the support of the DG06 Technology Development Department
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