yolov7的matlab代码

很抱歉，yolov7并不是一个已知的目标检测模型，可能是一个笔误或者误传的信息。目前yolov5是最新的版本，如果您需要yolov5的matlab代码，可以参考以下代码：

% 导入yolov5s.onnx模型
yolo = importONNXNetwork('yolov5s.onnx');

% 读取待检测的图像
img = imread('test.jpg');

% 对图像进行预处理
inputSize = yolo.Layers(1).InputSize;
img = imresize(img, [inputSize(1) inputSize(2)]);
img = single(img);
img = img/255;
img = img - yolo.Layers(1).Mean;

% 进行目标检测
detections = yolo.predict(img);

% 解析检测结果
bboxes = detections(:,1:4);
scores = detections(:,5);
labels = categorical(yolo.Layers(end).Classes);
[~,maxScoreIdx] = max(scores);
maxScoreDetection = detections(maxScoreIdx,:);

% 显示检测结果
annotatedImg = insertObjectAnnotation(img,'rectangle',bboxes,cellstr(labels));
annotatedImg = insertObjectAnnotation(annotatedImg,'rectangle',maxScoreDetection(1:4),...
    sprintf('%s: (Confidence = %f)',labels(maxScoreDetection(6)),maxScoreDetection(5)));
imshow(annotatedImg);