GeneralRecognitionV2_PPLCNetV2_base.yaml微调特征提取模型报错

[chinesejunzai12]

库对应的版本如下: paddleclas==2.5.2 paddlepaddle==2.5.2 paddlepaddle-gpt==2.5.2

运行命令报错如下: python3.7 tools/train.py \

-c ./ppcls/configs/GeneralRecognitionV2/CUB_GeneralRecognitionV2_PPLCNetV2_base.yaml grep: warning: GREP_OPTIONS is deprecated; please use an alias or script [2024/06/26 17:17:35] ppcls INFO: =========================================================== == PaddleClas is powered by PaddlePaddle ! == =========================================================== == == == For more info please go to the following website. == == == == https://github.com/PaddlePaddle/PaddleClas == ===========================================================

[2024/06/26 17:17:35] ppcls INFO: AMP : [2024/06/26 17:17:35] ppcls INFO: level : O1 [2024/06/26 17:17:35] ppcls INFO: scale_loss : 65536 [2024/06/26 17:17:35] ppcls INFO: use_dynamic_loss_scaling : True [2024/06/26 17:17:35] ppcls INFO: ------------------------------------------------------------ [2024/06/26 17:17:35] ppcls INFO: Arch : [2024/06/26 17:17:35] ppcls INFO: Backbone : [2024/06/26 17:17:35] ppcls INFO: class_expand : 512 [2024/06/26 17:17:35] ppcls INFO: name : PPLCNetV2_base_ShiTu [2024/06/26 17:17:35] ppcls INFO: pretrained : True [2024/06/26 17:17:35] ppcls INFO: use_ssld : True [2024/06/26 17:17:35] ppcls INFO: BackboneStopLayer : [2024/06/26 17:17:35] ppcls INFO: name : flatten [2024/06/26 17:17:35] ppcls INFO: Head : [2024/06/26 17:17:35] ppcls INFO: bias_attr : False [2024/06/26 17:17:35] ppcls INFO: class_num : 101 [2024/06/26 17:17:35] ppcls INFO: embedding_size : 512 [2024/06/26 17:17:35] ppcls INFO: name : FC [2024/06/26 17:17:35] ppcls INFO: weight_attr : [2024/06/26 17:17:35] ppcls INFO: initializer : [2024/06/26 17:17:35] ppcls INFO: name : Normal [2024/06/26 17:17:35] ppcls INFO: std : 0.001 [2024/06/26 17:17:35] ppcls INFO: Neck : [2024/06/26 17:17:35] ppcls INFO: bias_attr : [2024/06/26 17:17:35] ppcls INFO: initializer : [2024/06/26 17:17:35] ppcls INFO: name : Constant [2024/06/26 17:17:35] ppcls INFO: value : 0.0 [2024/06/26 17:17:35] ppcls INFO: learning_rate : 1e-20 [2024/06/26 17:17:35] ppcls INFO: name : BNNeck [2024/06/26 17:17:35] ppcls INFO: num_features : 512 [2024/06/26 17:17:35] ppcls INFO: weight_attr : [2024/06/26 17:17:35] ppcls INFO: initializer : [2024/06/26 17:17:35] ppcls INFO: name : Constant [2024/06/26 17:17:35] ppcls INFO: value : 1.0 [2024/06/26 17:17:35] ppcls INFO: infer_add_softmax : False [2024/06/26 17:17:35] ppcls INFO: infer_output_key : features [2024/06/26 17:17:35] ppcls INFO: name : RecModel [2024/06/26 17:17:35] ppcls INFO: DataLoader : [2024/06/26 17:17:35] ppcls INFO: Eval : [2024/06/26 17:17:35] ppcls INFO: Gallery : [2024/06/26 17:17:35] ppcls INFO: dataset : [2024/06/26 17:17:35] ppcls INFO: cls_label_path : ./dataset/CUB_200_2011/test_list.txt [2024/06/26 17:17:35] ppcls INFO: image_root : ./dataset/CUB_200_2011/ [2024/06/26 17:17:35] ppcls INFO: name : VeriWild [2024/06/26 17:17:35] ppcls INFO: transform_ops : [2024/06/26 17:17:35] ppcls INFO: DecodeImage : [2024/06/26 17:17:35] ppcls INFO: channel_first : False [2024/06/26 17:17:35] ppcls INFO: to_rgb : True [2024/06/26 17:17:35] ppcls INFO: ResizeImage : [2024/06/26 17:17:35] ppcls INFO: backend : cv2 [2024/06/26 17:17:35] ppcls INFO: interpolation : bilinear [2024/06/26 17:17:35] ppcls INFO: return_numpy : False [2024/06/26 17:17:35] ppcls INFO: size : [224, 224] [2024/06/26 17:17:35] ppcls INFO: NormalizeImage : [2024/06/26 17:17:35] ppcls INFO: mean : [0.485, 0.456, 0.406] [2024/06/26 17:17:35] ppcls INFO: order : hwc [2024/06/26 17:17:35] ppcls INFO: scale : 1.0/255.0 [2024/06/26 17:17:35] ppcls INFO: std : [0.229, 0.224, 0.225] [2024/06/26 17:17:35] ppcls INFO: loader : [2024/06/26 17:17:35] ppcls INFO: num_workers : 4 [2024/06/26 17:17:35] ppcls INFO: use_shared_memory : True [2024/06/26 17:17:35] ppcls INFO: sampler : [2024/06/26 17:17:35] ppcls INFO: batch_size : 64 [2024/06/26 17:17:35] ppcls INFO: drop_last : False [2024/06/26 17:17:35] ppcls INFO: name : DistributedBatchSampler [2024/06/26 17:17:35] ppcls INFO: shuffle : False [2024/06/26 17:17:35] ppcls INFO: Query : [2024/06/26 17:17:35] ppcls INFO: dataset : [2024/06/26 17:17:35] ppcls INFO: cls_label_path : ./dataset/CUB_200_2011/test_list.txt [2024/06/26 17:17:35] ppcls INFO: image_root : ./dataset/CUB_200_2011/ [2024/06/26 17:17:35] ppcls INFO: name : VeriWild [2024/06/26 17:17:35] ppcls INFO: transform_ops : [2024/06/26 17:17:35] ppcls INFO: DecodeImage : [2024/06/26 17:17:35] ppcls INFO: channel_first : False [2024/06/26 17:17:35] ppcls INFO: to_rgb : True [2024/06/26 17:17:35] ppcls INFO: ResizeImage : [2024/06/26 17:17:35] ppcls INFO: backend : cv2 [2024/06/26 17:17:35] ppcls INFO: interpolation : bilinear [2024/06/26 17:17:35] ppcls INFO: return_numpy : False [2024/06/26 17:17:35] ppcls INFO: size : [224, 224] [2024/06/26 17:17:35] ppcls INFO: NormalizeImage : [2024/06/26 17:17:35] ppcls INFO: mean : [0.485, 0.456, 0.406] [2024/06/26 17:17:35] ppcls INFO: order : hwc [2024/06/26 17:17:35] ppcls INFO: scale : 1.0/255.0 [2024/06/26 17:17:35] ppcls INFO: std : [0.229, 0.224, 0.225] [2024/06/26 17:17:35] ppcls INFO: loader : [2024/06/26 17:17:35] ppcls INFO: num_workers : 4 [2024/06/26 17:17:35] ppcls INFO: use_shared_memory : True [2024/06/26 17:17:35] ppcls INFO: sampler : [2024/06/26 17:17:35] ppcls INFO: batch_size : 64 [2024/06/26 17:17:35] ppcls INFO: drop_last : False [2024/06/26 17:17:35] ppcls INFO: name : DistributedBatchSampler [2024/06/26 17:17:35] ppcls INFO: shuffle : False [2024/06/26 17:17:35] ppcls INFO: Train : [2024/06/26 17:17:35] ppcls INFO: dataset : [2024/06/26 17:17:35] ppcls INFO: cls_label_path : ./dataset/CUB_200_2011/train_list.txt [2024/06/26 17:17:35] ppcls INFO: image_root : ./dataset/CUB_200_2011/ [2024/06/26 17:17:35] ppcls INFO: name : VeriWild [2024/06/26 17:17:35] ppcls INFO: relabel : True [2024/06/26 17:17:35] ppcls INFO: transform_ops : [2024/06/26 17:17:35] ppcls INFO: DecodeImage : [2024/06/26 17:17:35] ppcls INFO: channel_first : False [2024/06/26 17:17:35] ppcls INFO: to_rgb : True [2024/06/26 17:17:35] ppcls INFO: ResizeImage : [2024/06/26 17:17:35] ppcls INFO: backend : cv2 [2024/06/26 17:17:35] ppcls INFO: interpolation : bilinear [2024/06/26 17:17:35] ppcls INFO: return_numpy : False [2024/06/26 17:17:35] ppcls INFO: size : [224, 224] [2024/06/26 17:17:35] ppcls INFO: RandFlipImage : [2024/06/26 17:17:35] ppcls INFO: flip_code : 1 [2024/06/26 17:17:35] ppcls INFO: Pad : [2024/06/26 17:17:35] ppcls INFO: backend : cv2 [2024/06/26 17:17:35] ppcls INFO: padding : 10 [2024/06/26 17:17:35] ppcls INFO: RandCropImageV2 : [2024/06/26 17:17:35] ppcls INFO: size : [224, 224] [2024/06/26 17:17:35] ppcls INFO: RandomRotation : [2024/06/26 17:17:35] ppcls INFO: degrees : 90 [2024/06/26 17:17:35] ppcls INFO: interpolation : bilinear [2024/06/26 17:17:35] ppcls INFO: prob : 0.5 [2024/06/26 17:17:35] ppcls INFO: ResizeImage : [2024/06/26 17:17:35] ppcls INFO: backend : cv2 [2024/06/26 17:17:35] ppcls INFO: interpolation : bilinear [2024/06/26 17:17:35] ppcls INFO: return_numpy : False [2024/06/26 17:17:35] ppcls INFO: size : [224, 224] [2024/06/26 17:17:35] ppcls INFO: NormalizeImage : [2024/06/26 17:17:35] ppcls INFO: mean : [0.485, 0.456, 0.406] [2024/06/26 17:17:35] ppcls INFO: order : hwc [2024/06/26 17:17:35] ppcls INFO: scale : 1.0/255.0 [2024/06/26 17:17:35] ppcls INFO: std : [0.229, 0.224, 0.225] [2024/06/26 17:17:35] ppcls INFO: loader : [2024/06/26 17:17:35] ppcls INFO: num_workers : 4 [2024/06/26 17:17:35] ppcls INFO: use_shared_memory : True [2024/06/26 17:17:35] ppcls INFO: sampler : [2024/06/26 17:17:35] ppcls INFO: batch_size : 256 [2024/06/26 17:17:35] ppcls INFO: drop_last : False [2024/06/26 17:17:35] ppcls INFO: id_list : [50030, 80700, 92019, 96015] [2024/06/26 17:17:35] ppcls INFO: name : PKSampler [2024/06/26 17:17:35] ppcls INFO: ratio : [4, 4] [2024/06/26 17:17:35] ppcls INFO: sample_method : id_avg_prob [2024/06/26 17:17:35] ppcls INFO: sample_per_id : 4 [2024/06/26 17:17:35] ppcls INFO: shuffle : True [2024/06/26 17:17:35] ppcls INFO: Global : [2024/06/26 17:17:35] ppcls INFO: checkpoints : None [2024/06/26 17:17:35] ppcls INFO: device : gpu [2024/06/26 17:17:35] ppcls INFO: epochs : 100 [2024/06/26 17:17:35] ppcls INFO: eval_during_train : True [2024/06/26 17:17:35] ppcls INFO: eval_interval : 1 [2024/06/26 17:17:35] ppcls INFO: eval_mode : retrieval [2024/06/26 17:17:35] ppcls INFO: image_shape : [3, 224, 224] [2024/06/26 17:17:35] ppcls INFO: output_dir : ./output [2024/06/26 17:17:35] ppcls INFO: pretrained_model : None [2024/06/26 17:17:35] ppcls INFO: print_batch_step : 20 [2024/06/26 17:17:35] ppcls INFO: re_ranking : False [2024/06/26 17:17:35] ppcls INFO: retrieval_feature_from : features [2024/06/26 17:17:35] ppcls INFO: save_inference_dir : ./inference [2024/06/26 17:17:35] ppcls INFO: save_interval : 10 [2024/06/26 17:17:35] ppcls INFO: use_dali : False [2024/06/26 17:17:35] ppcls INFO: use_visualdl : False [2024/06/26 17:17:35] ppcls INFO: Loss : [2024/06/26 17:17:35] ppcls INFO: Eval : [2024/06/26 17:17:35] ppcls INFO: CELoss : [2024/06/26 17:17:35] ppcls INFO: weight : 1.0 [2024/06/26 17:17:35] ppcls INFO: Train : [2024/06/26 17:17:35] ppcls INFO: CELoss : [2024/06/26 17:17:35] ppcls INFO: epsilon : 0.1 [2024/06/26 17:17:35] ppcls INFO: weight : 1.0 [2024/06/26 17:17:35] ppcls INFO: TripletAngularMarginLoss : [2024/06/26 17:17:35] ppcls INFO: absolute_loss_weight : 0.1 [2024/06/26 17:17:35] ppcls INFO: add_absolute : True [2024/06/26 17:17:35] ppcls INFO: an_value : 0.4 [2024/06/26 17:17:35] ppcls INFO: ap_value : 0.8 [2024/06/26 17:17:35] ppcls INFO: feature_from : features [2024/06/26 17:17:35] ppcls INFO: margin : 0.5 [2024/06/26 17:17:35] ppcls INFO: normalize_feature : True [2024/06/26 17:17:35] ppcls INFO: reduction : mean [2024/06/26 17:17:35] ppcls INFO: weight : 1.0 [2024/06/26 17:17:35] ppcls INFO: Metric : [2024/06/26 17:17:35] ppcls INFO: Eval : [2024/06/26 17:17:35] ppcls INFO: Recallk : [2024/06/26 17:17:35] ppcls INFO: topk : [1, 5] [2024/06/26 17:17:35] ppcls INFO: mAP : [2024/06/26 17:17:35] ppcls INFO: Optimizer : [2024/06/26 17:17:35] ppcls INFO: lr : [2024/06/26 17:17:35] ppcls INFO: learning_rate : 0.06 [2024/06/26 17:17:35] ppcls INFO: name : Cosine [2024/06/26 17:17:35] ppcls INFO: warmup_epoch : 5 [2024/06/26 17:17:35] ppcls INFO: momentum : 0.9 [2024/06/26 17:17:35] ppcls INFO: name : Momentum [2024/06/26 17:17:35] ppcls INFO: regularizer : [2024/06/26 17:17:35] ppcls INFO: coeff : 1e-05 [2024/06/26 17:17:35] ppcls INFO: name : L2 [2024/06/26 17:17:35] ppcls INFO: profiler_options : None [2024/06/26 17:17:35] ppcls INFO: train with paddle 2.5.2 and device Place(gpu:0) Traceback (most recent call last): File "tools/train.py", line 32, in engine = Engine(config, mode="train") File "/mnt/ppcls/engine/engine.py", line 121, in init self.config["DataLoader"], "Train", self.device, self.use_dali) File "/mnt/ppcls/data/init.py", line 91, in build_dataloader dataset = eval(dataset_name)(**config_dataset) TypeError: init() got an unexpected keyword argument 'relabel'