I have a sample codebase in Scala where I use OpenCV and ScalaPy for doing some image classification. Here is the codebit:
def loadImage(imagePath: String): Image = {
// 0. Load the image and extract class label where a path to the image is assumed to be
// /path/to/dataset/{class}/{image}.jpg
val matrix: Mat = imread(imagePath)
val label = imagePath.split("")
// 1. Run the loaded image through the preprocessors, resulting in a feature vector
//val preProcessedImagesWithLabels = Seq(new ImageResizePreProcessor(appCfg)).map(preProcessor => (preProcessor.preProcess(matrix), label))
val preProcessedImagesWithLabels = Seq(new ImageResizePreProcessor(appCfg)).map(preProcessor => preProcessor.preProcess(matrix))
np.asarray(preProcessedImagesWithLabels)
}
It fails however for the reason that it cannot find an implicit converter for NumPy:
[error] /home/joesan/Projects/Private/ml-projects/object-classifier/src/main/scala/com/bigelectrons/animalclassifier/ImageLoader.scala:10:34: not found: type NumPy
[error] val np = py.module("numpy").as[NumPy]
What is to be expected in addition to the imports?
"me.shadaj" %% "scalapy-numpy" % "0.1.0",
"me.shadaj" %% "scalapy-core" % "0.5.0",
CodePudding user response:
Try with latest "dev" version of scalapy-numpy: 0.1.0 6-14ca0424
So change the sbt build in:
libraryDependencies = "me.shadaj" %% "scalapy-numpy" % "0.1.0 6-14ca0424"
I try in ammonite this script:
import me.shadaj.scalapy.numpy.NumPy
import me.shadaj.scalapy.py
val np = py.module("numpy").as[NumPy]
An it seems to find the NumPy
as expected