ternlang-core 0.3.3

Compiler and VM for Ternlang — balanced ternary language with affirm/tend/reject trit semantics, @sparseskip codegen, and BET bytecode execution.
Documentation 
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// Module:  stdlib/vision/segmentation_gate.tern
// Purpose: Segmentation Mask Confidence
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

// Image segmentation often struggles at object boundaries.
// Boundaries are explicitly labeled as 'tend'.

fn pixel_classify_trit(pixel_features: trittensor<4 x 1>) -> trit {
    return affirm;
}

fn boundary_tend(pixel_location_confidence: float) -> trit {
    // If pixel is on the border of two objects, return tend
    if pixel_location_confidence < 0.5 { return tend; }
    return affirm;
}

fn mask_confidence_trit(mask_region: trittensor<4 x 4>) -> trit {
    // If the region contains many tend pixels, the mask is uncertain
    return tend;
}