static void Yolo()
{
NeuralNetwork neuralNetwork = new NeuralNetwork();
neuralNetwork.LoadH5(@"D:\keras-yolo3-master\model_data\yolo.h5");
neuralNetwork.Summary();
string[] labels =
{
"person", "bicycle", "car", "motorbike", "aeroplane", "bus", "train", "truck", "boat", "traffic light", "fire hydrant",
"stop sign", "parking meter", "bench", "bird", "cat", "dog", "horse", "sheep", "cow", "elephant", "bear", "zebra", "giraffe",
"backpack", "umbrella", "handbag", "tie", "suitcase", "frisbee", "skis", "snowboard", "sports ball", "kite", "baseball bat",
"baseball glove", "skateboard", "surfboard", "tennis racket", "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl",
"banana", "apple", "sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake", "chair", "sofa", "pottedplant",
"bed", "diningtable", "toilet", "tvmonitor", "laptop", "mouse", "remote", "keyboard", "cell phone", "microwave", "oven", "toaster",
"sink", "refrigerator", "book", "clock", "vase", "scissors", "teddy bear", "hair drier", "toothbrush"
};
Bitmap image = new Bitmap($@"{AssetsPath}\Test.png");
float[,,] inputs = NeuralNetworkInput.FromRGBImage(new Bitmap(image, 416, 416));
List <NeuralNetworkYoloResult> results = neuralNetwork.Yolo(inputs, image.Width, image.Height, 0.6F, 0.5F);
Graphics graphics = Graphics.FromImage(image);
NeuralNetworkOutput.DrawYoloResult(graphics, results, labels);
image.Save("Temp.jpg");
Process.Start("Temp.jpg");
}
private void pictureBox1_Click(object sender, EventArgs e)
{
if (openFileDialog1.ShowDialog() == DialogResult.OK)
{
Image image = Image.FromFile(openFileDialog1.FileName);
pictureBox1.Image = image;
float[,,] inputs = NeuralNetworkInput.FromRGBImage(new Bitmap(pictureBox1.Image, 416, 416));
List <NeuralNetworkYoloResult> results = NeuralNetwork.Yolo(inputs, pictureBox1.Image.Width, pictureBox1.Image.Height, 0.6F, 0.5F);
Graphics graphics = Graphics.FromImage(image);
NeuralNetworkOutput.DrawYoloResult(graphics, results, Labels);
graphics.Dispose();
pictureBox1.Image = image;
}
}