txtPath=os.path.join(vocDir,"eval.txt")

    with open(txtPath,"w") as f:

        f.writelines("allGroundBoxNum:{}\n".format(groundBoxNum))

        f.writelines("allDetectedBoxNum:{}\n".format(detectedBoxNum))

        f.writelines("allDetectedBoxRightNum:{}\n".format(detectedBoxRightNum))

        f.writelines("allDetectedBoxAndClassificationRightNum:{}\n".format(detectedBoxAndClassificationRightNum))

        f.writelines("识别错误的框的个数:{}\n".format(detectedBoxNum - detectedBoxRightNum))

        f.writelines("识别错误的框的个数/预测的框:{}\n".format((detectedBoxNum - detectedBoxRightNum) / detectedBoxNum))

        f.writelines("识别对的框/所有的框:{}\n".format(detectedBoxRightNum / groundBoxNum))

        f.writelines("框和分类都正确/所有的框:{}\n".format(detectedBoxAndClassificationRightNum / groundBoxNum))

        for i in range(len(categories)):

            f.writelines("{}的Ground,Detected,DetectedRight个数分别为{},{},{},\n".format(categories[i]["name"],

                                                                      allGroundClassNumDict[i + ],

                                                                      allDetectedClassNumDict[i + ],

                                                                      allDetectedClassRightNumDict[i + ]))