首先这里是我的代码：

        image = cv2.imread(filePath)
        height, width, channels = image.shape
        
        # USing blob function of opencv to preprocess image
        blob = cv2.dnn.blobFromImage(image, 1 / 255.0, (416, 416),
        swapRB=True, crop=False)
        #Detecting objects
        net.setInput(blob)
        outs = net.forward(output_layers)
        
        # Showing informations on the screen
        class_ids = []
        confidences = []
        boxes = []

        for out in outs:
            for detection in out:
                scores = detection[5:]
                class_id = np.argmax(scores)
                confidence = scores[class_id]
                if confidence > 0.7:
                    # Object detected
                    center_x = int(detection[0] * width)
                    center_y = int(detection[1] * height)
                    w = int(detection[2] * width)
                    h = int(detection[3] * height)

                    # Rectangle coordinates
                    x = int(center_x - w / 2)
                    y = int(center_y - h / 2)

                    boxes.append([x, y, w, h])
                    confidences.append(float(confidence))
                    class_ids.append(class_id)
                    
                indexes = cv2.dnn.NMSBoxes(boxes, confidences,score_threshold=0.4,nms_threshold=0.8,top_k=1)
                
        font = cv2.FONT_HERSHEY_PLAIN
        colors = np.random.uniform(0, 255, size=(len(classes), 3))
        labels = ['bicycle','car','motorbike','bus','truck']
        for i in range(len(boxes)):
            if i in indexes:
                label = str(classes[class_ids[i]])
                if label in labels:
                    x, y, w, h = boxes[i]
                    color = colors[class_ids[i]]
                    cv2.rectangle(image, (x, y), (x + w, y + h), color, 2)
                    cv2.putText(image, label, (x, y + 30), font, 2, color, 3)
        cv2.imshow(fileName,image)

我的问题是：是不是cv2.dnn.NMSBoxes应该消除多个边界框？那么为什么我仍然得到如下示例的输出：

我的预期是这样的：

我的代码做错了吗？有没有更好的选择？非常感谢您的帮助。

回答