将VNCoreMFeatureValueObservation结果(3D Double Array)转换为多个UIIma

Question

我有一个coreml模型，它在运行后返回一个带有1"MultiArray:Double 10 x IMG_SIZE x IMG_IZE array"的VNCoreML FeatureValueObservation对象

如何将其转换为10个UIImages，每个UIImages具有IMG_SIZE x IMG_SIZE维度，并且它们的值为灰度？

Answer 1

在窥探了一番之后，我发现我必须添加以下Helper函数：

https://github.com/hollance/CoreMLHelpers我的Xcode项目。从一个MultiArray初始化问题来看：https://stackoverflow.com/a/44462908/403403

然后我拼凑出了这个解决方案：

let request = VNCoreMLRequest(model: model) { (request, error) in
guard let results = request.results as? [VNCoreMLFeatureValueObservation] else {
fatalError("Model failed to process image")
}
let obs : VNCoreMLFeatureValueObservation = (results.first)!
let m: MLMultiArray = obs.featureValue.multiArrayValue!
var mArrays = [MLMultiArray]()

for i in 0..<10 {
let start = i*(IMG_SIZE*IMG_SIZE) 
guard let tmp : MLMultiArray = try? MLMultiArray(shape:[768,768], dataType:MLMultiArrayDataType.double) else {
fatalError("Unexpected runtime error. MLMultiArray")
}
for n in 0..<(IMG_SIZE*IMG_SIZE) {
tmp[n] = m[start+n]
}
mArrays.append(tmp)
}

self.imagePred0.image = mArrays[0].image(offset: 0, scale: 255)!
self.imagePred1.image = mArrays[1].image(offset: 0, scale: 255)!
self.imagePred2.image = mArrays[2].image(offset: 0, scale: 255)!
self.imagePred3.image = mArrays[3].image(offset: 0, scale: 255)!
self.imagePred4.image = mArrays[4].image(offset: 0, scale: 255)!
self.imagePred5.image = mArrays[5].image(offset: 0, scale: 255)!
self.imagePred6.image = mArrays[6].image(offset: 0, scale: 255)!
self.imagePred7.image = mArrays[7].image(offset: 0, scale: 255)!
self.imagePred8.image = mArrays[8].image(offset: 0, scale: 255)!
self.imagePred9.image = mArrays[9].image(offset: 0, scale: 255)!

}

希望有一种更清洁的方式，但目前有效