Do a request to Image-Charts API with current configuration and yield a promise of a base64 encodeddata URI Usage importImageChartsfrom'image-charts';constchart_url=ImageCharts().cht('bvg')// vertical bar chart.chs('300x300')// 300px x 300px.chd('a:60,40')// 2 data points: 60 ...
Do a request to Image-Charts API with current configuration and yield a promise of a base64 encodeddata URI Usage using ImageChartsLib; public class DownloadChartAsDataUri { static void Main(string[] args) { string dataUri = new ImageCharts() .cht("bvg") // vertical bar chart .chs("30...
Photo about an Asian dance girl in white background. Image of vietnamese, white, brunette - 203665434
For example, if your friend or kid is a big Disney fan, you can ask the image generator to create a realistic image of Mickey Mouse in a specific environment. The prompt's results are below: "Mickey Mouse on a plane, smiling."
International Journal of Computer Vision Aims and scope Submit manuscript Jiayi Ma, Xingyu Jiang, Aoxiang Fan, Junjun Jiang & Junchi Yan 101k Accesses 13 Altmetric Explore all metrics Abstract As a fundamental and critical task in various visual applications, image matching can identify then ...
In image-to-image translation, each patch in the output should reflect the content of the corresponding patch in the input, independent of domain. We propose a straightforward method for doing so – maximizing mutual information between the two, using a.
For a computer, each image is just a set of matrices containing numeric values. A digital image can be a two-dimensional or three-dimensional data arranged array of picture elements called pixels. In Fig. 2, a 8 × 8 pixels size image is shown where each box denotes the numerical value...
Ultraviolet colouration is thought to be an important form of signalling in many bird species, yet broad insights regarding the prevalence of ultraviolet plumage colouration and the factors promoting its evolution are currently lacking. In this paper, we
A common practice of splitting the sets into training and testing sets was applied. Since the NNs consist of a pre-defined number of input nodes or neurons, feature vectors were constructed from the simulated A-scans, containing hand-selected features such as peak heights and peak times [53]...
We further demonstrate that manifold learning during training results in sparse representations of domain transforms along low-dimensional data manifolds, and observe superior immunity to noise and a reduction in reconstruction artefacts compared with conventional handcrafted reconstruction methods. In addition...