Updated to YOLO v26

splitter-cli/PassthroughSplitter.cs

@@ -114,14 +114,14 @@ public sealed class PassthroughSplitter : LoggingBase, ISegmentProcessor
         {
             FileName = "ffprobe",
             Arguments =
-            "-select_streams v " +
-            $"-read_intervals \"{(segmentStart-0.1).ToString(CultureInfo.InvariantCulture)}%+{window.ToString(CultureInfo.InvariantCulture)}\" " +
-            "-skip_frame nokey " +
-            "-show_packets " +
-            "-show_entries packet=pts_time,flags " +
-            "-of compact=p=0 " +
-            "-v quiet " +
-            $"\"{inputFile}\"",
+                "-select_streams v " +
+                $"-read_intervals \"{(segmentStart-0.1).ToString(CultureInfo.InvariantCulture)}%+{window.ToString(CultureInfo.InvariantCulture)}\" " +
+                "-skip_frame nokey " +
+                "-show_packets " +
+                "-show_entries packet=pts_time,flags " +
+                "-of compact=p=0 " +
+                "-v quiet " +
+                $"\"{inputFile}\"",
             RedirectStandardOutput = true,
             UseShellExecute = false,
             CreateNoWindow = true

splitter-cli/README.md

@@ -21,7 +21,14 @@ It supports batch input, flexible duration formats, rotation, smart face/body-aw
 - FFmpeg and FFprobe available in system PATH
 - .NET 10 Runtime or newer
 
-If you want to update model:
+Due to GitHub file size limits, Splitter does not include the ONNX models used for face and body detection. You must download them separately and place them in the `models` folder.
+
+For body detection we use [Ultralytics/YOLO26 · Hugging Face](https://huggingface.co/Ultralytics/YOLO26).
+
+Exact quantation Yolo26s.onnx (body detection) can be downloaded from [yolo26m/yolo26m.onnx · prithivMLmods/YOLO26-ONNX at main](https://huggingface.co/prithivMLmods/YOLO26-ONNX/blob/main/yolo26m/yolo26m.onnx).
+Model card: [prithivMLmods/YOLO26-ONNX · Hugging Face](https://huggingface.co/prithivMLmods/YOLO26-ONNX)
+
+If you want to update model yourself:
 
 - For face detection: [opencv_zoo/models/face_detection_yunet at main · opencv/opencv_zoo](https://github.com/opencv/opencv_zoo/tree/main/models/face_detection_yunet)
 - For body detection: [yolov8s.pt · Ultralytics/YOLOv8 at main](https://huggingface.co/Ultralytics/YOLOv8/blob/main/yolov8s.pt)

splitter-cli/algo/YoloV10ObjectDetector.cs

@@ -54,7 +54,7 @@ public sealed class YoloV10ObjectDetector : LoggingBase, IObjectDetector, IDispo
         options.AppendExecutionProvider_DML();
 
         var basePath  = AppDomain.CurrentDomain.BaseDirectory;
-        var modelPath = Path.Combine(basePath, "models", "yolov10m.onnx");
+        var modelPath = Path.Combine(basePath, "models", "yolo26m.onnx"); // yolov10m.onnx
 
         _session      = new InferenceSession(modelPath, options);