【YOLOv5】将YOLOv5预测结果由矩形框改为透明mask_yolo mask预测

原始的YOLOv5预测结果是在图片上面绘制矩阵框，但是在视觉效果上并不明显。

因此将矩阵框的形式改为绘制透明mask。

代码实现：
修改YOLOv5工程中的utils/plots.py部分代码，class Annotator中的函数进行如下替换，主要是两处TODO：

    def box_label(self, box, label='', color=(128, 128, 128), txt_color=(255, 255, 255)):
        # Add one xyxy box to image with label
        if self.pil or not is_ascii(label):
            self.draw.rectangle(box, width=self.lw, outline=color)  # box
            if label:
                w, h = self.font.getsize(label)  # text width, height
                outside = box[1] - h >= 0  # label fits outside box
                self.draw.rectangle(
                    (box[0], box[1] - h if outside else box[1], box[0] + w + 1,
                     box[1] + 1 if outside else box[1] + h + 1),
                    fill=color,
                )
                # self.draw.text((box[0], box[1]), label, fill=txt_color, font=self.font, anchor='ls')  # for PIL>8.0
                self.draw.text((box[0], box[1] - h if outside else box[1]), label, fill=txt_color, font=self.font)
        else:  # cv2
            p1, p2 = (int(box[0]), int(box[1])), (int(box[2]), int(box[3]))
            # TODO mask1-1
            cv2.rectangle(self.im, p1, p2, color, thickness=self.lw, lineType=cv2.LINE_AA)
            # self.im = self.mask_label(self.im, p1, p2, color)

            if label:
                tf = max(self.lw - 1, 1)  # font thickness
                w, h = cv2.getTextSize(label, 0, fontScale=self.lw / 3, thickness=tf)[0]  # text width, height
                outside = p1[1] - h >= 3
                p2 = p1[0] + w, p1[1] - h - 3 if outside else p1[1] + h + 3
                cv2.rectangle(self.im, p1, p2, color, -1, cv2.LINE_AA)  # filled
                cv2.putText(self.im,
                            label, (p1[0], p1[1] - 2 if outside else p1[1] + h + 2),
                            0,
                            self.lw / 3,
                            txt_color,
                            thickness=tf,
                            lineType=cv2.LINE_AA)
    # TODO mask1-2
    def mask_label(self, img, pos1, pos2, color, thickness=-1, alpha=1, beta=0.5, gamma=0):
        mask_zeros = np.zeros((img.shape), dtype=np.uint8)
        mask = cv2.rectangle(mask_zeros, pos1, pos2, color, thickness)
        mask_img = cv2.addWeighted(img, alpha, mask, beta, gamma)
        return mask_img
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