This example shows a fully manual approach to tracing features directly in the Deep Learning Trainer.
You may download the sample reference images to use as learning tools and follow this example.
Begin by launching Deep Learning Trainer from the Launch Bar.
Drag and drop your reference images.
Click + in the Layers Panel to add a blank layer. Set the name and click “OK”. You may add additional Layers at any time using the + button. Click the Layer name in the Layers Table to set the active Layer for tracing.
Use manual editing tools to trace features of interest.
Click Save and advance to the next image to continue tracing.
After all features have been traced in each image, you may use the dropdown arrow next to the + followed by Add Inverse of All Layers to add a background Layer if needed. Name the Layer and click “OK”. You’ll usually choose “No” when asked if you want to erode after inversion. This will add all undefined pixels as another Layer.
This example shows a semi-automated approach to tracing features in the Deep Learning Trainer. This approach is useful if you have a Recipe which does a reasonable job of detecting features of interest, but leaves room for improvement
Launch the Batch Processor.
Load Recipe and drag and drop images to batch process.
When batch is finished, launch Deep Learning Trainer.
Drag and drop the Session file which was saved to the output directory of the batch process.
Use manual edit tools to correct any detection errors in all Layers of the first image.
Click Save and advance to the next image to continue correcting. Repeat until all images are corrected.
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