Worked great until upgrade about bitmaponnxprediction HOT 3 CLOSED

  class ImageInputData
    {
        [ImageType(224, 224)]
        public Bitmap Image { get; set; }
    }

  class ImageInputData
    {
        [ImageType(224, 224)]
        public MLImage Image { get; set; }
    }

            Microsoft.ML.OnnxRuntime.Tensors.Tensor<float> input = new Microsoft.ML.OnnxRuntime.Tensors.DenseTensor<float>(new[] { 1, 3, 720, 576 });

            BitmapData bitmapData = originalImage.LockBits(new System.Drawing.Rectangle(0, 0, originalImage.Width, originalImage.Height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);

            int stride = bitmapData.Stride;
            IntPtr scan0 = bitmapData.Scan0;

            unsafe
            {
                byte* ptr = (byte*)scan0;
                for (int y = 0; y < originalImage.Height; y++)
                {
                    for (int x = 0; x < originalImage.Width; x++)
                    {
                        int offset = y * stride + x * 3;
                        input[0, 0, y, x] = ptr[offset + 2] / 255.0f; // Red channel
                        input[0, 1, y, x] = ptr[offset + 1] / 255.0f; // Green channel
                        input[0, 2, y, x] = ptr[offset] / 255.0f;     // Blue channel
                    }
                }
            }


            originalImage.UnlockBits(bitmapData);


            var inputs = new List<Microsoft.ML.OnnxRuntime.NamedOnnxValue>
            {
                Microsoft.ML.OnnxRuntime.NamedOnnxValue.CreateFromTensor("images", input)
            };

            var session = new Microsoft.ML.OnnxRuntime.InferenceSession(this.txtONNXFile.Text, sessionOptions);
            Microsoft.ML.OnnxRuntime.IDisposableReadOnlyCollection<Microsoft.ML.OnnxRuntime.DisposableNamedOnnxValue> results = session.Run(inputs);