Checkpoint

This commit is contained in:
Simon Gruber
2023-11-22 06:37:00 +01:00
parent e58fbc2d06
commit ea51f37f81
17 changed files with 511 additions and 270 deletions
+17 -7
View File
@@ -45,13 +45,13 @@ internal class EvaluationProcessor
.Use(new DuplicateFilter())
.Complete(new RegexFilter(WordRegex));
private readonly IProcessor<MagickImage, MagickImage> _thresholdProcessor;
private readonly StopwatchProcessor<MagickImage, MagickImage> _thresholdProcessor;
public string OutputFolder { get; init; } = "results";
public EvaluationProcessor(IProcessor<MagickImage, MagickImage> thresholdProcessor)
{
_thresholdProcessor = thresholdProcessor;
_thresholdProcessor = new StopwatchProcessor<MagickImage, MagickImage>(thresholdProcessor);
}
/// <inheritdoc />
@@ -59,12 +59,21 @@ internal class EvaluationProcessor
{
Directory.CreateDirectory(OutputFolder);
var processor = MakeProcessor();
var results = processor.Process(new[] { image }).Select(r => r.Word);
var words = MakeProcessor()
.Process(new[] { image })
.Select(r => r.Word)
.ToArray();
var result = new
{
Words = words.ToArray(),
Elapsed = _thresholdProcessor.Elapsed?.TotalMilliseconds,
};
var name = Path.GetFileNameWithoutExtension(image.FileName);
await using var file = File.OpenWrite(Path.Combine(OutputFolder, $"{name}.{_thresholdProcessor}.json"));
await JsonSerializer.SerializeAsync(file, results);
var path = Path.Combine(OutputFolder, $"{name}.{_thresholdProcessor}.json");
await using var file = File.OpenWrite(path);
await JsonSerializer.SerializeAsync(file, result);
});
private IProcessorChain<MagickImage, ScanResult> MakeProcessor()
@@ -93,7 +102,8 @@ internal class EvaluationProcessor
{
var image = tImages[i].CloneImage();
var name = Path.GetFileName(image.FileName);
image.Write(Path.Combine(OutputFolder, $"{_thresholdProcessor}.{i:D2}.{name}"));
var path = Path.Combine(OutputFolder, $"{_thresholdProcessor}.{i:D2}.{name}");
image.Write(path);
}
return tImages;
+1 -1
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@@ -6,7 +6,7 @@
},
"Test all img": {
"commandName": "Project",
"commandLineArgs": "\"img/*\""
"commandLineArgs": "\"img/*.png\""
},
"Test single img": {
"commandName": "Project",
+32
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@@ -0,0 +1,32 @@
using Process.Abstract;
using Process.Interface;
using System.Diagnostics;
public class StopwatchProcessor<TInput, TOutput> : Processor<TInput, TOutput>
{
private readonly IProcessor<TInput, TOutput> _processor;
/// <summary>
/// Execution time of the last processing action
/// </summary>
public TimeSpan? Elapsed { get; private set; }
public StopwatchProcessor(IProcessor<TInput, TOutput> processor)
{
_processor = processor;
}
public override IEnumerable<TOutput> Process(IEnumerable<TInput> inputs)
{
var stopWatch = Stopwatch.StartNew();
var results = _processor.Process(inputs);
stopWatch.Stop();
Elapsed = stopWatch.Elapsed;
return results;
}
/// <inheritdoc />
public override string? ToString() => _processor.ToString();
}
-1
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@@ -12,7 +12,6 @@
<ItemGroup>
<ProjectReference Include="..\..\Lookup\Lookup.Memory\Lookup.Memory.csproj" />
<ProjectReference Include="..\..\Ocr\Ocr.Processors\Ocr.Processors.csproj" />
<ProjectReference Include="..\..\Ocr\Ocr.Tesseract.Screenshots\Ocr.Tesseract.Screenshots.csproj" />
<ProjectReference Include="..\..\Ocr\Ocr.Tesseract\Ocr.Tesseract.csproj" />
<ProjectReference Include="..\..\Process\Process.Interface\Process.Interface.csproj" />
+77
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@@ -0,0 +1,77 @@
using System.Collections;
namespace Common.Distance;
public static class Calculator
{
/// <summary>
/// Calculates the levenshtein distance between
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="reference"></param>
/// <param name="hypothesis"></param>
/// <returns></returns>
public static double GetDistance<T>(T reference, T? hypothesis)
where T : IEnumerable
{
// Setup
var refArr = reference.Cast<object>().ToArray();
var hypArr = hypothesis?.Cast<object>().ToArray() ?? Array.Empty<object>();
if (!hypArr.Any())
{
return refArr.Length;
// return double.PositiveInfinity; // Adjust penalty for empty scans
}
if (Equals(refArr, hypArr))
{
return 0;
}
var distance = new int[refArr.Length + 1, hypArr.Length + 1];
// Fill matrix
for (var x = 0; x <= refArr.Length; x++)
{
// Reference on X axis
distance[x, 0] = x;
}
for (var y = 0; y <= hypArr.Length; y++)
{
// Hypothesis on Y axis
distance[0, y] = y;
}
// Calculate distance
for (var x = 0; x < refArr.Length; x++)
{
for (var y = 0; y < hypArr.Length; y++)
{
// BL Cost depends on whether the two elements are equal
var cost = Equals(refArr[x], hypArr[y]) ? 0 : 1;
// Apply distance mask
var c1 = distance[x, y] + cost; // Bottom left
var c2 = distance[x, y + 1] + 1; // Top left
var c3 = distance[x + 1, y] + 1; // Bottom right
distance[x + 1, y + 1] = Min(c1, c2, c3); // Top right
}
}
return distance[refArr.Length, hypArr.Length];
}
private static T Min<T>(params T[] values)
{
if (!values.Any())
{
throw new ArgumentException("Array cannot be empty", nameof(values));
}
return values.Min()!;
}
}
@@ -0,0 +1,36 @@
using ReportGenerator.Models;
using System.Collections;
namespace Common.Distance;
public readonly struct DistanceComparer<T> : IDistanceComparer<T>
where T : IEnumerable
{
/// <inheritdoc />
public T Reference { get; }
/// <inheritdoc />
public T? Hypothesis { get; }
/// <inheritdoc />
public double Distance { get; }
public DistanceComparer(T reference) : this(reference, default)
{
}
public DistanceComparer(T reference, T? hypothesis)
{
Reference = reference;
Hypothesis = hypothesis;
Distance = Calculator.GetDistance(Reference, Hypothesis);
}
/// <inheritdoc />
public override string ToString() => Hypothesis switch
{
null => "`null`",
var hyp when Equals(hyp, Reference) => Hypothesis.ToString() ?? string.Empty,
_ => $"<strong style='color: orange;' title='CER: {Distance}'>{Hypothesis}</strong>"
};
}
@@ -0,0 +1,27 @@
using System.Collections;
namespace ReportGenerator.Models;
public interface IDistanceComparer
{
/// <summary>
/// The calculated distance between
/// <see cref="IDistanceComparer{T}.Reference"/> and
/// <see cref="IDistanceComparer{T}.Hypothesis"/>
/// </summary>
public double Distance { get; }
}
public interface IDistanceComparer<out T> : IDistanceComparer
where T : IEnumerable
{
/// <summary>
/// The comparison reference, meaning the "known to be correct" value
/// </summary>
public T Reference { get; }
/// <summary>
/// The value hypothesis, whose correctness is checked against <see cref="Reference"/>
/// </summary>
public T? Hypothesis { get; }
}
@@ -0,0 +1,15 @@
using System.Text;
namespace Common.Extensions;
public static class StringBuilderExtensions
{
public static StringBuilder AppendHeading(this StringBuilder sb, int level, string text) => sb
.Append(new string('#', level))
.Append(' ')
.AppendParagraph(text);
public static StringBuilder AppendParagraph(this StringBuilder sb, string text) => sb
.AppendLine(text)
.AppendLine();
}
+12 -14
View File
@@ -1,14 +1,10 @@
using System.Text.RegularExpressions;
namespace Common.Extensions;
namespace Common.Extensions;
/// <summary>
/// Extensions for the string object type
/// </summary>
public static class StringExtensions
{
private static readonly Regex patternRegex = new Regex(@"^\*$");
/// <summary>
/// Determines whether this string contains the specified string. Not case sensitive.
/// </summary>
@@ -24,18 +20,20 @@ public static class StringExtensions
/// </summary>
/// <param name="self"></param>
/// <returns></returns>
public static ICollection<string> ExpandPath(this string self)
public static IEnumerable<string> ExpandPath(this string self)
{
string pattern = Path.GetFileName(self);
if (patternRegex.IsMatch(pattern))
var parts = self.Split(Path.DirectorySeparatorChar);
var fileName = parts.Last();
if (fileName.Contains('*') || fileName.Contains('?'))
{
return Directory.GetFiles(
self.Substring(0, self.Length - pattern.Length),
pattern,
SearchOption.TopDirectoryOnly
);
// Path contains file pattern
var path = Path.Combine(parts.SkipLast(1).ToArray());
return Directory.EnumerateFiles(path, fileName);
}
// Path contains no pattern
return new[] { self };
}
}
}
@@ -1,61 +0,0 @@
namespace ReportGenerator.Models;
internal readonly struct CharacterStats
{
public string Reference { get; }
public string Value { get; }
public double CharacterError { get; }
public CharacterStats(string reference)
{
Reference = reference;
Value = string.Empty;
CharacterError = double.PositiveInfinity;
}
public CharacterStats(string reference, string value)
{
Value = value;
Reference = reference;
CharacterError = CalculateCer(reference, value);
}
private static double CalculateCer(string s1, string s2)
{
var distance = new int[s1.Length + 1, s2.Length + 1];
for (var i = 0; i <= s1.Length; i++)
{
distance[i, 0] = i;
}
for (var j = 0; j <= s2.Length; j++)
{
distance[0, j] = j;
}
for (var i = 1; i <= s1.Length; i++)
{
for (var j = 1; j <= s2.Length; j++)
{
var cost = s2[j - 1] == s1[i - 1] ? 0 : 1;
var c1 = Math.Min(distance[i - 1, j] + 1, distance[i, j - 1] + 1);
var c2 = distance[i - 1, j - 1] + cost;
distance[i, j] = Math.Min(c1, c2);
}
}
return distance[s1.Length, s2.Length];
}
/// <inheritdoc />
public override string ToString()
{
var value = string.IsNullOrEmpty(Value) ? "`null`" : Value;
return $"{value} ({CharacterError})";
}
}
+12 -27
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@@ -1,42 +1,27 @@
namespace ReportGenerator.Models;
internal readonly struct ImageStats
public readonly struct ImageStats
{
public string ImageName { get; } = string.Empty;
public string ImageName { get; }
public ICollection<string> Reference { get; } = Array.Empty<string>();
public ICollection<ProcessorStat> Stats { get; } = Array.Empty<ProcessorStat>();
public ICollection<string> Reference { get; }
public ICollection<ProcessorStat> Processors { get; }
public ImageStats(
string imageName,
ICollection<string> taggedWords,
IEnumerable<ScannedResultInfo> scanResult
IEnumerable<ScanFileInfo> scanResult
)
{
Reference = taggedWords;
ImageName = imageName;
Stats = scanResult
.Select(t => new ProcessorStat(t.ProcessorName, taggedWords, t.GetWords()))
Processors = scanResult
.Select(t =>
{
var (elapsed, words) = t.GetData();
return new ProcessorStat(t.ProcessorName, elapsed, taggedWords, words);
})
.ToArray();
}
public IEnumerable<IEnumerable<string>> ToTable()
{
// Title
yield return Reference
.Prepend("Processor")
.Append("WER")
.Append("CER (avg)")
.Append("CER (sum)");
// Spacer
yield return Enumerable.Range(0, Reference.Count + 4).Select(_ => "---");
// Content
foreach (var stat in Stats)
{
yield return stat.ToRow();
}
}
}
@@ -1,90 +1,82 @@
namespace ReportGenerator.Models;
using Common.Distance;
internal readonly struct ProcessorStat
namespace ReportGenerator.Models;
public readonly struct ProcessorStat : IDistanceComparer<IEnumerable<string>>
{
public string ProcessorName { get; } = string.Empty;
public ICollection<CharacterStats> CharacterStats { get; } = Array.Empty<CharacterStats>();
public double WordError { get; } = double.PositiveInfinity;
public ProcessorStat(
string processorName,
ICollection<string> reference,
ICollection<string> values
)
{
ProcessorName = processorName;
WordError = CalculateWer(
reference,
values
);
CharacterStats = GetCharacterStat(
reference,
values
).ToArray();
}
public IEnumerable<string> ToRow() => CharacterStats
.Select(s => s.ToString())
.Append(WordError.ToString("F2"))
.Append(CharacterStats.Average(s => s.CharacterError).ToString("F2"))
.Append(CharacterStats.Sum(s => s.CharacterError).ToString("F2"))
.Prepend(ProcessorName);
/// <summary>
/// The name of the processor
/// </summary>
public string Name { get; }
/// <summary>
/// Finds the smallest possible CER by calculating the levenshtein
/// distance to every word and returning the most similar combination
/// The total milliseconds it took the processor to process the data
/// </summary>
/// <returns></returns>
private static IEnumerable<CharacterStats> GetCharacterStat(
IEnumerable<string> reference,
ICollection<string> values
public double ProcessingTime { get; }
/// <inheritdoc />
public IEnumerable<string> Reference { get; }
/// <inheritdoc />
public IEnumerable<string>? Hypothesis { get; }
/// <inheritdoc />
public double Distance { get; }
/// <summary>
/// Information about the processed values
/// </summary>
public ICollection<IDistanceComparer<string>> Words { get; }
public ProcessorStat(
string name,
double processingTime,
ICollection<string> reference,
ICollection<string> hypothesis
)
{
foreach (var refValue in reference)
Name = name;
ProcessingTime = processingTime;
Reference = reference;
Hypothesis = hypothesis;
Distance = Calculator.GetDistance(
reference.OrderBy(s => s).ToArray(),
hypothesis.OrderBy(s => s).ToArray()
) / reference.Count;
Words = reference.Select(r => GetDistanceInfo(r, hypothesis)).ToArray();
}
/// <summary>
/// Compares the <paramref name="reference"/> with all given <paramref name="values"/>
/// and determines the <see cref="IDistanceComparer{T}"/> with the lowest error
/// </summary>
private static IDistanceComparer<string> GetDistanceInfo(
string reference, IEnumerable<string> values
)
{
var result = new DistanceComparer<string>(reference);
// Determine character stat with lowest error
foreach (var value in values)
{
CharacterStats result = new CharacterStats(refValue);
foreach (var value in values)
var stat = new DistanceComparer<string>(reference, value);
if (stat.Distance > result.Distance)
{
var stat = new CharacterStats(refValue, value);
if (stat.CharacterError > result.CharacterError)
{
continue;
}
result = stat;
if (stat.CharacterError == 0)
{
break;
}
continue;
}
yield return result;
}
}
result = stat;
static double CalculateWer(ICollection<string> expected, ICollection<string> actual)
{
if (!actual.Any())
{
return double.PositiveInfinity;
if (stat.Distance == 0)
{
// We cannot go lower than zero, break
return result;
}
}
// Amount of words that need to be substituted to match the original
int substitutions = expected
.Zip(actual, (e, a) => string.Equals(e, a) ? 0 : 1)
.Sum();
// todo this isn't correct i think
// Amount of words dropped from the original
int deletions = expected.Except(actual).Count();
// Amount of extra words added compared to the original
int insertions = actual.Except(expected).Count();
return (substitutions + deletions + insertions) / (double)expected.Count;
return result;
}
}
@@ -3,7 +3,7 @@ using System.Text.RegularExpressions;
namespace ReportGenerator.Models;
internal struct ScannedResultInfo
public struct ScanFileInfo
{
public string Path { get; private init; }
@@ -16,22 +16,26 @@ internal struct ScannedResultInfo
public string ImageName { get; set; }
public ICollection<string> GetWords()
public (double Elapsed, ICollection<string> Words) GetData()
{
using var file = File.OpenRead(Path);
return JsonDocument
.Parse(file)
.RootElement
var root = JsonDocument.Parse(file).RootElement;
var words = root
.GetProperty("Words")
.EnumerateArray()
.Select(e =>
e.GetProperty("Text").GetString() ?? throw new Exception("Cannot parse null words"))
.Select(e => e.GetProperty("Text").GetString() ?? string.Empty)
.ToArray();
var elapsed = root.GetProperty("Elapsed").GetDouble();
return (elapsed, words);
}
public static ScannedResultInfo FromPath(string path)
public static ScanFileInfo FromPath(string path)
{
var match = parseRegex.Match(System.IO.Path.GetFileName(path));
return new ScannedResultInfo
return new ScanFileInfo
{
Path = path,
ProcessorName = match.Groups["processor"].Value,
@@ -1,49 +0,0 @@
namespace ReportGenerator.Models;
internal readonly struct TableInfo
{
public IEnumerable<IEnumerable<string>> Rows { get; } = Enumerable.Empty<IEnumerable<string>>();
public string Title { get; init; } = string.Empty;
public string RowStart { get; init; } = string.Empty;
public string RowEnd { get; init; } = string.Empty;
public string ColumnStart { get; init; } = string.Empty;
public string ColumnEnd { get; init; } = string.Empty;
public TableInfo(IEnumerable<IEnumerable<string>> rows)
{
Rows = rows;
}
#region Overrides of ValueType
/// <inheritdoc />
public override string ToString()
{
string result = string.Empty;
// Title
result += Title;
// Body
foreach (var row in Rows)
{
result += RowStart;
foreach (var column in row)
{
result += ColumnStart;
result += column;
result += ColumnEnd;
}
result += RowEnd;
}
return result;
}
#endregion
}
+28 -27
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@@ -1,4 +1,5 @@
using ReportGenerator.Models;
using System.Text;
namespace ReportGenerator;
@@ -6,45 +7,45 @@ internal static class Program
{
internal static void Main(string[] args)
{
// Retrieve data
Console.WriteLine("Getting data");
var tagFileInfos = GetTagFileInfos(args[0]);
var scanFileInfos = GetScanFileInfos(args[1]);
Directory.CreateDirectory("reports");
// Parse
var stats = Scan(tagFileInfos, scanFileInfos);
Console.WriteLine("Evaluating");
var scans = Scan(tagFileInfos, scanFileInfos);
var report = Table.ReportGenerator
.FromData(scans)
.WithTitle("OCR Report")
.WithBestOf("Best of")
.WithFullStatistic("Statistic")
.ToString();
foreach (var stat in stats)
{
var tableFields = stat.ToTable();
var tableInfo = new TableInfo(tableFields)
{
Title = stat.ImageName + Environment.NewLine,
RowStart = " | ",
RowEnd = Environment.NewLine,
ColumnEnd = " | "
};
// Generate output file
var tableStr = tableInfo.ToString();
Console.WriteLine("Generating report");
File.WriteAllText("Report.md", report, Encoding.UTF8);
Console.WriteLine();
Console.WriteLine();
Console.WriteLine(tableStr);
Console.WriteLine();
Console.WriteLine();
}
Console.WriteLine("Completed");
}
private static IEnumerable<ImageStats> Scan(
IEnumerable<TagFileInfo> tagFileInfos,
IEnumerable<ScannedResultInfo> scanFileInfos
IEnumerable<ScanFileInfo> scanFileInfos
)
{
var scanFileLookup = scanFileInfos.ToLookup(i => i.ImageName);
return tagFileInfos.Select(i => new ImageStats(
i.ImageName,
i.GetWords().OrderBy(w => w).ToArray(),
scanFileLookup[i.ImageName]
));
foreach (var i in tagFileInfos)
{
yield return new ImageStats(
i.ImageName,
i.GetWords().Distinct().OrderBy(w => w).ToArray(),
scanFileLookup[i.ImageName]
);
}
}
@@ -58,13 +59,13 @@ internal static class Program
return Directory.EnumerateFiles(dir, "*.json").Select(TagFileInfo.FromPath);
}
private static IEnumerable<ScannedResultInfo> GetScanFileInfos(string dir)
private static IEnumerable<ScanFileInfo> GetScanFileInfos(string dir)
{
if (!Directory.Exists(dir))
{
throw new ArgumentException($"Invalid scan results directory '{dir}'");
}
return Directory.EnumerateFiles(dir, "*.json").Select(ScannedResultInfo.FromPath);
return Directory.EnumerateFiles(dir, "*.json").Select(ScanFileInfo.FromPath);
}
}
@@ -11,4 +11,8 @@
<PackageReference Include="Microsoft.EntityFrameworkCore" Version="7.0.5" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\Common\Common.csproj" />
</ItemGroup>
</Project>
@@ -0,0 +1,171 @@
using Common.Extensions;
using ReportGenerator.Models;
using System.Text;
namespace ReportGenerator.Table
{
public class ReportGenerator
{
private ICollection<ImageStats> Images { get; }
private readonly StringBuilder _sb = new();
private ReportGenerator(IEnumerable<ImageStats> stats) => Images = stats.ToArray();
/// <inheritdoc />
public override string ToString() => _sb.ToString();
#region Fluent definition
public ReportGenerator WithTitle(string text)
{
_sb.AppendHeading(1, text);
return this;
}
public ReportGenerator WithFullStatistic(string title)
{
_sb.AppendHeading(2, title);
foreach (var stat in Images)
{
_sb.AppendHeading(3, stat.ImageName);
_sb.AppendParagraph(HtmlImage(Path.Combine("img", stat.ImageName), 350, 350));
AppendRow(stat
.Reference
.Prepend("Image")
.Prepend("CER (avg)")
.Prepend("WER")
.Prepend("Elapsed")
.Prepend("Processor")
);
AppendRowSeparator(stat.Reference.Count + 5);
var processors = stat.Processors
.OrderBy(s => s.Distance)
.ThenBy(s => s.ProcessingTime);
foreach (var processor in processors)
{
var imgPath = Path.Combine("results", $"{processor.Name}.00.{stat.ImageName}.png");
AppendRow(processor.Words
.Select(s => s.ToString() ?? string.Empty)
.Prepend(HtmlImage(imgPath, 150, 150))
.Prepend(processor.Words.Average(s => s.Distance).ToString("F2"))
.Prepend($"{processor.Distance * 100:F1}%")
.Prepend($"{processor.ProcessingTime * 1000:F1}ms")
.Prepend(processor.Name)
);
}
_sb.AppendLine();
_sb.AppendParagraph(
$"*Comparison data generated based on {stat.Reference.Count} tagged words.*"
);
}
return this;
}
public ReportGenerator WithBestOf(string title, int context = 5)
{
_sb.AppendHeading(2, title);
var lookup = Images
.SelectMany(s => s.Processors)
.ToLookup(p => p.Name);
// Compare time across all images
var byTime = lookup
.Select(g => (Name: g.Key, Value: g.Average(p => p.ProcessingTime) * 1000))
.OrderBy(g => g.Value);
// Compare WER across all images
var byWer = lookup
.Select(g => (Name: g.Key, Value: g.Average(p => p.Distance) * 100))
.OrderBy(g => g.Value);
// Compare CER across all images
var byCer = lookup
.Select(g => (Name: g.Key, Value: g.Average(p => p.Words.Average(w => w.Distance))))
.OrderBy(g => g.Value);
// Print
AppendComparison(3, "Time", byTime, " ms");
AppendComparison(3, "WER", byWer, " %");
AppendComparison(3, "CER", byCer, " changes");
return this;
void AppendComparison(
int level,
string tableTitle,
IEnumerable<(string, double)> values,
string valueUnit = ""
)
{
var tValues = values.ToArray();
var tContext = Math.Min(tValues.Length / 2, context);
_sb.AppendHeading(level, tableTitle);
AppendRow(new[] { "Processor", "Average" });
AppendRowSeparator(2);
AppendRows(tValues.Take(tContext).Select(v => new[]
{
v.Item1,
v.Item2.ToString("F2") + valueUnit
}));
AppendRowSeparator(2, "...");
AppendRows(tValues.TakeLast(tContext).Select(v => new[]
{
v.Item1,
v.Item2.ToString("F2") + valueUnit
}));
}
}
#endregion
#region Helpers
private void AppendRow(IEnumerable<string> row)
{
const string separator = " | ";
_sb.AppendLine(separator + string.Join(" | ", row) + separator);
}
private void AppendRows(IEnumerable<IEnumerable<string>> rows)
{
foreach (var row in rows)
{
AppendRow(row);
}
}
private static string HtmlImage(string path, int maxWidth, int maxHeight)
{
if (!path.EndsWith(".png"))
{
path += ".png";
}
return $"<img src=\"{path}\" style=\"max-width:{maxWidth}px;max-height:{maxHeight}px;\" />";
}
private void AppendRowSeparator(int columns, string content = "---") =>
AppendRow(Enumerable.Range(0, columns).Select(_ => content));
#endregion
#region Factory Methods
public static ReportGenerator FromData(IEnumerable<ImageStats> stats) => new(stats);
#endregion
}
}