Rgb2GrayScale

Color Space Transformation: RGB → Grayscale using fixed luminance weights.

Implements the equivalent of NumPy code: weights = 0.2989, 0.5870, 0.1140 gray = (H*W x 3) @ weights → reshape(H, W)

In SKainNET DSL this is realized as a 1x1 Conv2D with inChannels=3 and outChannels=1 whose kernel is fixed to the weights above and with no bias.

Expected input shape: (N, 3, H, W) Output shape: (N, 1, H, W)

Constructors

constructor()

open suspend override fun calculate(module: Module<FP32, Float>, inputValue: Tensor<FP32, Float>, executionContext: ExecutionContext, reportProgress: suspend (current: Int, total: Int, message: String?) -> Unit): Tensor<FP32, Float>

Implement this in your models. Call reportProgress whenever you want to emit a progress update.

open override fun create(executionContext: ExecutionContext): Module<FP32, Float>

open override fun modelCard(): ModelCard