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private Tensor GetInputs(string imageFilePath, Mat rgbMat, out int new_h, out int new_w) {
// Read image Mat imageMat = CvInvoke.Imread(imageFilePath, ImreadModes.Color); CvInvoke.CvtColor(imageMat, rgbMat, ColorConversion.Bgr2Rgb); imageMat.Dispose(); //取图片最小的边做为短边 int short_size = rgbMat.Height < rgbMat.Width ? rgbMat.Height : rgbMat.Width; //测试发现如果短边小于96,会造成识别不出来或者识别不完全,要保证短边不小于96 if (short_size < 96) { short_size = 96; } //短边 取整为32的倍数 short_size = 32 * (short_size / 32); double scale_h = 0, tar_w = 0, scale_w = 0, tar_h = 0; if (rgbMat.Height < rgbMat.Width) { scale_h = short_size * 1.0 / rgbMat.Height; tar_w = rgbMat.Width * scale_h * 1.0; tar_w = tar_w - tar_w % 32; tar_w = Math.Max(32, tar_w); scale_w = tar_w / rgbMat.Width; } else { scale_w = short_size * 1.0 / rgbMat.Width; tar_h = rgbMat.Height * scale_w * 1.0; tar_h = tar_h - tar_h % 32; tar_h = Math.Max(32, tar_h); scale_h = tar_h / rgbMat.Height; } new_h = (int)(scale_h * rgbMat.Height); new_w = (int)(scale_w * rgbMat.Width); Mat imgResized = new Mat(new_h, new_w, DepthType.Cv32F, 3); CvInvoke.Resize(rgbMat, imgResized, new Size(new_w, new_h)); return GetTensorInputFromImg(imgResized); }
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private Tensor GetInputs(string imageFilePath, Mat rgbMat, out int new_h, out int new_w)
{
The text was updated successfully, but these errors were encountered: