public async Task GetResponse_WhenAMessageIsSent()
{
const int width = 615;
const int height = 384;
float[,,] normalizedValues;
PNetResponseDto expectedPNetResponse;
var image = await BaseImage
.CreateAsync("ServiceBusBridge/Tensorflow/Evaluation/Resources/image_020_1.jpg")
.ConfigureAwait(false);
using (var rgbValues = image.ToColorPixelsArray(width, height))
{
normalizedValues = rgbValues.NormalizeBatch();
}
using (var streamReader = File.OpenText("ServiceBusBridge/Tensorflow/Evaluation/Resources/PNetResponse.json"))
{
string json = await streamReader.ReadToEndAsync().ConfigureAwait(false);
expectedPNetResponse = JsonConvert.DeserializeObject <PNetResponseDto>(json);
}
using (var rpcClient = new PNetClient("localhost"))
{
var response = await rpcClient.SendAsync(new PNetRequestDto(normalizedValues, LoadWeightsMode.FromJson, "/facerec/Tests/PNet.json")).ConfigureAwait(false);
response.IsSuccess.Should().BeTrue();
response.ErrorMessage.Should().BeEmpty();
response.OutputValues.Count().Should().Be(expectedPNetResponse.OutputValues.Count());
foreach (var outputValue in response.OutputValues)
{
var expectedOutputValue = expectedPNetResponse.OutputValues.SingleOrDefault(v => v.Name == outputValue.Name);
expectedOutputValue.Should().NotBeNull();
outputValue.Value.GetLength(0).Should().Be(expectedOutputValue.Value.GetLength(0));
outputValue.Value.GetLength(1).Should().Be(expectedOutputValue.Value.GetLength(1));
outputValue.Value.GetLength(2).Should().Be(expectedOutputValue.Value.GetLength(2));
outputValue.Value.GetLength(3).Should().Be(expectedOutputValue.Value.GetLength(3));
for (int c = 0; c < outputValue.Value.GetLength(0); c++)
{
for (int x = 0; x < outputValue.Value.GetLength(1); x++)
{
for (int y = 0; y < outputValue.Value.GetLength(2); y++)
{
for (int z = 0; z < outputValue.Value.GetLength(3); z++)
{
(outputValue.Value[c, x, y, z] - outputValue.Value[c, x, y, z]).Should()
.BeLessOrEqualTo(Bootstrapper.FloatTolerance);
}
}
}
}
}
}
}
public async Task GivenIHaveAnImage_WhenIUseItWithTheMtcnnAlgorithm_ThenFaceLocationAndLandmarksAreReturned()
{
using (var testImage = new TestResource(GetType().Assembly, "FaceRecognition.UnitTests.FaceDetections.Algorithms.Resources.image_020_1.jpg"))
{
var image = await BaseImage.CreateAsync(testImage.ResourcePath).ConfigureAwait(false);
var mtcnnAlgorithm = new Mtcnn();
await mtcnnAlgorithm.LocateFacesAsync(image).ConfigureAwait(false);
}
}
public async Task GivenIHaveAnImage_WhenIConvertItToPixelsArray_RgbValuesAreReturnedInTheArray()
{
using (var testImage = new TestResource(GetType().Assembly, "FaceRecognition.UnitTests.Images.Resources.Anthony_Hopkins_0001.jpg"))
{
var image = await BaseImage.CreateAsync(testImage.ResourcePath).ConfigureAwait(false);
using (var rgbPixels = image.ToColorPixelsArray(4, 4))
{
rgbPixels.XLength.Should().Be(4);
rgbPixels.YLength.Should().Be(4);
rgbPixels.ZLength.Should().Be(3);
}
}
}
public async Task GenerateNormalizedBatchArray_WhenAnRgbImageIsSupplied()
{
await Task.CompletedTask.ConfigureAwait(false);
const int width = 615;
const int height = 384;
float[,,] normalizedValues;
float[,,] expectedValues;
var image = await BaseImage.CreateAsync("Domain/Helpers/Resources/image_020_1.jpg", copyToFileServer : true).ConfigureAwait(false);
using (var rgbValues = image.ToColorPixelsArray(width, height))
{
normalizedValues = rgbValues.NormalizeBatch();
}
using (var sReader = File.OpenText("Domain/Helpers/Resources/NormalizedImageValues.json"))
{
var json = await sReader.ReadToEndAsync().ConfigureAwait(false);
expectedValues = JsonConvert.DeserializeObject <float[, , ]>(json);
}
normalizedValues.Should().NotBeNull();
normalizedValues.GetLength(0).Should().Be(width);
normalizedValues.GetLength(1).Should().Be(height);
normalizedValues.GetLength(2).Should().Be(3);
for (int i = 0; i < normalizedValues.GetLength(0); i++)
{
for (int j = 0; j < normalizedValues.GetLength(1); j++)
{
for (int k = 0; k < normalizedValues.GetLength(2); k++)
{
normalizedValues[i, j, k].Should().Be(expectedValues[i, j, k]);
}
}
}
}