feat : algorithm improvements
- use FastStitchProcessor when the canvas is either large, tall or wide (original algorithm) - introduce StreamingProcessor algorithm for better robust performance - add logger
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7 changed files with 210 additions and 46 deletions
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@ -1,49 +1,86 @@
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using StitcherApi.Models;
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using StitcherApi.Services.Fast;
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using StitcherApi.Services.Streaming;
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using StitcherApi.Services.Utilities;
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namespace StitcherApi.Services;
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public class ImageService : IImageService
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{
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private readonly ImageProcessor _processor;
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private const int TILE_SIZE = 720;
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private readonly ILogger<ImageService> _logger;
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private readonly FastProcessor _fastProcessor;
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private readonly StreamingProcessor _streamingProcessor;
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public ImageService(IConfiguration configuration)
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private const double ASPECT_RATIO_THRESHOLD_TALL = 0.25;
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private const double ASPECT_RATIO_THRESHOLD_WIDE = 8.0;
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private const int TILE_COUNT_THRESHOLD = 30;
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public ImageService(IConfiguration config, ILoggerFactory loggerFactory)
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{
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_logger = loggerFactory.CreateLogger<ImageService>();
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string assetPath =
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configuration["AssetPath"]
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?? throw new InvalidOperationException("AssetPath is not configured.");
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_processor = new ImageProcessor(assetPath);
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config["AssetPath"] ?? throw new InvalidOperationException("AssetPath not configured.");
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_fastProcessor = new FastProcessor(assetPath, loggerFactory.CreateLogger<FastProcessor>());
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_streamingProcessor = new StreamingProcessor(
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assetPath,
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loggerFactory.CreateLogger<StreamingProcessor>()
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);
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}
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public async Task<byte[]> GenerateImageAsync(GenerateImageRequest request)
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{
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// 1. Delegate parsing to the CoordinateParser
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(int minRow, int minCol, int maxRow, int maxCol) = CoordinateParser.ParseCanvasRect(
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request.CanvasRect
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);
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// 2. Perform high-level calculations
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int tileGridWidth = maxCol - minCol + 1;
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int tileGridHeight = maxRow - minRow + 1;
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int totalTiles = tileGridWidth * tileGridHeight;
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StitchRequest stitchRequest = CreateStitchRequest(request, minRow, minCol, maxRow, maxCol);
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double aspectRatio = (tileGridHeight > 0) ? (double)tileGridWidth / tileGridHeight : 0;
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if (
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totalTiles > TILE_COUNT_THRESHOLD
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|| aspectRatio > ASPECT_RATIO_THRESHOLD_WIDE
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|| (aspectRatio > 0 && aspectRatio < ASPECT_RATIO_THRESHOLD_TALL)
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)
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{
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_logger.LogInformation("Large, Tall, or Wide canvas detected. Using fast processor.");
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return await _fastProcessor.ProcessAsync(stitchRequest);
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}
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else
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{
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_logger.LogInformation(
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"Small, block-shaped canvas detected. Using robust streaming processor."
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);
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return await _streamingProcessor.ProcessAsync(stitchRequest);
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}
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}
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private StitchRequest CreateStitchRequest(
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GenerateImageRequest request,
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int minRow,
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int minCol,
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int maxRow,
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int maxCol
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)
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{
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const int TILE_SIZE = 720;
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int stitchedCanvasWidth = (maxCol - minCol + 1) * TILE_SIZE;
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int stitchedCanvasHeight = (maxRow - minRow + 1) * TILE_SIZE;
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int cropX = (int)(request.CropOffset[0] * stitchedCanvasWidth);
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int cropY = (int)(request.CropOffset[1] * stitchedCanvasHeight);
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int cropW = (int)(request.CropSize[0] * stitchedCanvasWidth);
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int cropH = (int)(request.CropSize[1] * stitchedCanvasHeight);
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int startTileCol = minCol + cropX / TILE_SIZE;
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int endTileCol = minCol + (cropX + cropW - 1) / TILE_SIZE;
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int startTileRow = minRow + cropY / TILE_SIZE;
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int endTileRow = minRow + (cropY + cropH - 1) / TILE_SIZE;
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if (cropW <= 0 || cropH <= 0)
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{
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throw new ArgumentException("Calculated crop dimensions are invalid.");
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}
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int startTileCol = minCol + (cropX / TILE_SIZE);
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int endTileCol = minCol + ((cropX + cropW - 1) / TILE_SIZE);
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int startTileRow = minRow + (cropY / TILE_SIZE);
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int endTileRow = minRow + ((cropY + cropH - 1) / TILE_SIZE);
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// 3. Create a parameter object for the processor
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StitchRequest stitchRequest = new StitchRequest(
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return new StitchRequest(
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minRow,
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minCol,
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startTileRow,
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@ -56,8 +93,5 @@ public class ImageService : IImageService
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cropH,
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request.OutputScale
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);
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// 4. Delegate image processing work
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return await _processor.StitchAndCropAsync(stitchRequest);
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}
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}
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