Introduction
In Mech-DLK, you can connect multiple algorithm modules to train models for more complex on-site needs. In this example, the cascade of Text Detection and Text Recognition algorithm modules is used to demonstrate the usage of cascaded modules.
Use Cascaded Modules
First, confirm whether the dongle rights include the module cascading function by clicking the + sign in the upper-right corner of the Modules section. If you can click it, the function is enabled. If not, please contact Mech-Mind Sales to upgrade the authorization version.
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Create a Text Detection project
Follow Use the Text Detection Module to complete the training and validation of the Text Detection model.
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Create a Text Recognition project
Click + and select the Text Recognition module to add.
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Import the data from the previous module
Click the Import/Export button and select Import from Previous Module to use the training results from the Text Recognition module as input.
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Click Import/Export and select Import from Previous Module.
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In the Import window, select the images of the Text Recognition module that you want to import. You can also filter images by using Min confidence and Image tag.
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Modify Import Configuration.
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Expand by: Expand the imported images by a specified number of pixels. The expansion can prevent data loss caused by insufficient accuracy of the previous module. Default value: 0 px
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Rectify image(s): Rectify all imported images to the positive direction (0°).
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Options for duplicates: You can choose to skip or import duplicate images.
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Image tag: Use existing tags or add new ones as needed.
The Import Configuration may vary under different cascaded modules. Please set the parameters according to what is displayed.
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Click OK.
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Perform labeling and training in the Text Recognition module
Complete the labeling and training of the current module.
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Validate and export the model
After training, validate the model and export it. The exported model can be used in Mech-Vision and Mech-DLK SDK.
Cascaded models can only be used in Mech-Vision version 1.7.2 or above, but below version 2.0.0.
| If the previous module is updated, the following module needs to be re-trained. |