public void TestAddAndRemoveMultipleImages()
{
var image1 = GraphicUtils.GetImageByDimensions(100, 100);
var image2 = GraphicUtils.GetImageByDimensions(200, 200);
var category1 = new CategoryManager().GetOrCreate(18, "Small Car");
var observations1 = new Observation[]
{
new Observation(category1, 0.9, new SKRect(image1.Width / 5, image1.Height / 4, image1.Width / 3, image1.Height / 2)),
new Observation(category1, 0.9, new SKRect(image1.Width / 6, image1.Height / 7, image1.Width * 2 / 3, image1.Height * 3 / 4))
};
var category2 = new CategoryManager().GetOrCreate(19, "Large Boat");
var observations2 = new[]
{
new Observation(category2, 0.9, new SKRect(image2.Width / 5, image2.Height / 4, image2.Width / 3, image2.Height / 2))
};
const string name1 = "Image1.jpg";
const string name2 = "Image2.jpg";
var creationTime1 = DateTime.UtcNow;
var creationTime2 = DateTime.UtcNow;
var imageDao1 = DatabaseService.InsertOrUpdate(new ImageEntry(image1, name1, creationTime1, null, observations1));
var imageDao2 = DatabaseService.InsertOrUpdate(new ImageEntry(image2, name2, creationTime2, null, observations2));
DatabaseService.DeleteImage(imageDao1.Id);
Assert.IsNull(DatabaseService.GetImage(imageDao1.Id));
CollectionAssert.AreEqual(imageDao2.Observations, DatabaseUtils.GetAllObservations().ToList());
}
public void TestFromImage_DimensionsNotDivisibleByDefault(int width, int height)
{
var image = GraphicUtils.GetImageByDimensions(width, height);
var chips = Chip.FromImage(image).ToList();
var numWidth = width / SharedConstants.DefaultChipWidth + 1;
var numHeight = height / SharedConstants.DefaultChipHeight + 1;
for (var i = 0; i < numWidth; i++)
{
var subWidth = i + 1 < numWidth
? SharedConstants.DefaultChipWidth
: width % SharedConstants.DefaultChipWidth;
for (var j = 0; j < numHeight; j++)
{
var subHeight = j + 1 < numHeight
? SharedConstants.DefaultChipHeight
: height % SharedConstants.DefaultChipHeight;
var left = i * SharedConstants.DefaultChipWidth;
var top = j * SharedConstants.DefaultChipHeight;
var expectedRegion = new SKRectI(left, top, left + subWidth, top + subHeight);
var expectedPixels = GraphicUtils.GetPixelsByDimensions(subWidth, subHeight);
Assert.AreEqual(expectedRegion, chips[i * numHeight + j].Region);
Assert.AreEqual(expectedPixels, chips[i * numHeight + j].Pixels);
}
}
}
public void TestFromImage_DimensionsLessThanDefault(int width, int height)
{
var image = GraphicUtils.GetImageByDimensions(width, height);
var chips = Chip.FromImage(image).ToList();
Assert.AreEqual(1, chips.Count);
var expectedRegion = new SKRectI(0, 0, width, height);
var expectedPixels = GraphicUtils.GetPixelsByDimensions(width, height);
Assert.AreEqual(expectedRegion, chips[0].Region);
Assert.AreEqual(expectedPixels, chips[0].Pixels);
}
public void TestAddImage()
{
var image = GraphicUtils.GetImageByDimensions(100, 100);
var category = new CategoryManager().GetOrCreate(18, "Small Car");
const string name = "Image.jpg";
var creationTime = DateTime.UtcNow;
var observations = new Observation[]
{
new Observation(category, 0.9, new SKRect(image.Width / 5, image.Height / 4, image.Width / 3, image.Height / 2)),
new Observation(category, 0.9, new SKRect(image.Width / 6, image.Height / 7, image.Width * 2 / 3, image.Height * 3 / 4))
};
var addedImageDao = DatabaseService.InsertOrUpdate(new ImageEntry(image, name, creationTime, null, observations));
var retrievedImageDao = DatabaseService.GetImage(addedImageDao.Id);
Assert.AreEqual(addedImageDao, retrievedImageDao);
}
public void TestRemoveImage()
{
var image = GraphicUtils.GetImageByDimensions(100, 100);
var category = new CategoryManager().GetOrCreate(18, "Small Car");
const string name = "Image.jpg";
var creationTime = DateTime.UtcNow;
var observations = new Observation[]
{
new Observation(category, 0.9, new SKRect(image.Width / 5, image.Height / 4, image.Width / 3, image.Height / 2)),
new Observation(category, 0.9, new SKRect(image.Width / 6, image.Height / 7, image.Width * 2 / 3, image.Height * 3 / 4))
};
var imageDaoToDelete = DatabaseService.InsertOrUpdate(new ImageEntry(image, name, creationTime, null, observations));
DatabaseService.DeleteImage(imageDaoToDelete.Id);
Assert.IsNull(DatabaseService.GetImage(imageDaoToDelete.Id));
Assert.IsEmpty(DatabaseUtils.GetAllObservations());
}
private (ImageDAO, string) GenerateJsonsExamples()
{
var observations = new List <Observation>()
{
new Observation(_manager.GetOrCreate(0, "Car"), 0.5, new SKRect(0.1f, 0.2f, 0.7f, 0.8f)),
new Observation(_manager.GetOrCreate(1, "Bat Mobile"), 0.7, new SKRect(0.1f, 0.2f, 0.7f, 0.8f)),
};
const string name = "Image.jpg";
var creationTime = DateTime.UtcNow;
var testImg =
GraphicUtils.GetImageByDimensions(SharedConstants.DefaultChipWidth, SharedConstants.DefaultChipHeight);
var imageDao = new ImageDAO(testImg, name, creationTime);
foreach (var ob in observations)
{
imageDao.Add(new ObservationDAO(imageDao, ob));
}
return(imageDao, JSONService.ConvertToJson(imageDao));
}
public void TestFromImage_DimensionsDivisibleByDefault(int widthMultiplier, int heightMultiplier)
{
var image = GraphicUtils.GetImageByDimensions(widthMultiplier * SharedConstants.DefaultChipWidth,
heightMultiplier * SharedConstants.DefaultChipHeight);
var chips = Chip.FromImage(image).ToList();
Assert.AreEqual(widthMultiplier * heightMultiplier, chips.Count);
for (var i = 0; i < widthMultiplier; i++)
{
for (var j = 0; j < heightMultiplier; j++)
{
var left = i * SharedConstants.DefaultChipWidth;
var top = j * SharedConstants.DefaultChipHeight;
var expectedRegion = new SKRectI(left, top, left + SharedConstants.DefaultChipWidth,
top + SharedConstants.DefaultChipHeight);
var expectedPixels = GraphicUtils.GetPixelsByDimensions(SharedConstants.DefaultChipWidth,
SharedConstants.DefaultChipHeight);
Assert.AreEqual(expectedRegion, chips[i * heightMultiplier + j].Region);
Assert.AreEqual(expectedPixels, chips[i * heightMultiplier + j].Pixels);
}
}
}
