import  os,argparse,torch
from System_I import Detection_Y5,Fine_grained_T,Fine_grained_mmclsonnx
from  tqdm import tqdm

#os.environ['CUDA_VISIBLE_DEVICES'] = "1"
"""###
输入：/根目录/imagesAI
     -------文件夹1
            ------NoResult 存放无结果图片
            ------BrokenImage 存放损坏图片
            ------imagesAILabel 存放待处理图片
            ------Annotations 存放识别结果xml标签文件
            ------JPEGImages  备份原图原图
            ------result      存放可视化结果图片
     -------文件夹2
            ------NoResult 存放无结果图片
            ------BrokenImage 存放损坏图片
            ------imagesAILabel 存放待处理图片
            ------Annotations 存放识别结果xml标签文件
            ------JPEGImages  备份原图原图
            ------result      存放可视化结果图片

###"""



if __name__ == '__main__':
    parser1 = argparse.ArgumentParser(description="AILabel")
    parser1.add_argument("--RawPath", default='/data5/student/Hatcher/test/imagesAI', type=str,
                        help='RawPath.')
    parser1.add_argument("--GPU", default="2", type=str,
                        help='GPU.')  #本参数在该工程中不起作用，请修改common.py文件种的全局参数
    parser1.add_argument("--thresh", default=0.4, type=float,
                        help='thresh.')
    args = parser1.parse_args()
    os.environ['CUDA_VISIBLE_DEVICES'] = args.GPU#"1"
    try:
        if "imagesAI" not in args.RawPath:
            exit()
        else:
            os.system("sudo chmod 777 -R {}".format(str(args.RawPath).replace("imagesAI","")))
    except:
        exit()

    #devices = torch.device('cuda:{}'.format(str(int(args.GPU))) if torch.cuda.is_available() else 'cpu')
    devices = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
    Detection = Detection_Y5(device=devices, root=" ", detect_thresh=args.thresh)
    FineGrained = Fine_grained_mmclsonnx(device=devices)
    for RawPaths in os.listdir(args.RawPath):
        RawPath = os.path.join(args.RawPath,RawPaths,"imagesAILabel")
        if not os.path.exists(RawPath.replace("imagesAILabel","NoResult")):
            os.makedirs(RawPath.replace("imagesAILabel","NoResult"))
        if not os.path.exists(RawPath.replace("imagesAILabel","JPEGImages")):
            os.makedirs(RawPath.replace("imagesAILabel","JPEGImages"))
        if not os.path.exists(RawPath.replace("imagesAILabel","Annotations")):
            os.makedirs(RawPath.replace("imagesAILabel","Annotations"))
        if not os.path.exists(RawPath.replace("imagesAILabel", "BrokenImage")):
            os.makedirs(RawPath.replace("imagesAILabel", "BrokenImage"))
        if not os.path.exists(RawPath.replace("imagesAILabel", "result")):
            os.makedirs(RawPath.replace("imagesAILabel", "result"))


        imagepaths = os.listdir(RawPath)
        for imagepath in tqdm(imagepaths):
            imagepath = os.path.join(RawPath,imagepath)
            Detection.AIlabelFine(imagepath,FineGrained)