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Merge pull request #13 from Zhao-Yian/master

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Add logs from ZhaoYian
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thomas-yanxin 2022-05-21 17:25:31 +08:00 committed by GitHub
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[2022/05/21 16:27:06] ppcls INFO:
===========================================================
== PaddleClas is powered by PaddlePaddle ! ==
===========================================================
== ==
== For more info please go to the following website. ==
== ==
== https://github.com/PaddlePaddle/PaddleClas ==
===========================================================
[2022/05/21 16:27:06] ppcls INFO: Arch :
[2022/05/21 16:27:06] ppcls INFO: Backbone :
[2022/05/21 16:27:06] ppcls INFO: name : PPLCNet_x2_5
[2022/05/21 16:27:06] ppcls INFO: pretrained : True
[2022/05/21 16:27:06] ppcls INFO: use_ssld : True
[2022/05/21 16:27:06] ppcls INFO: BackboneStopLayer :
[2022/05/21 16:27:06] ppcls INFO: name : flatten
[2022/05/21 16:27:06] ppcls INFO: Head :
[2022/05/21 16:27:06] ppcls INFO: class_num : 2389
[2022/05/21 16:27:06] ppcls INFO: embedding_size : 4096
[2022/05/21 16:27:06] ppcls INFO: margin : 0.2
[2022/05/21 16:27:06] ppcls INFO: name : ArcMargin
[2022/05/21 16:27:06] ppcls INFO: scale : 30
[2022/05/21 16:27:06] ppcls INFO: Neck :
[2022/05/21 16:27:06] ppcls INFO: class_num : 4096
[2022/05/21 16:27:06] ppcls INFO: embedding_size : 1280
[2022/05/21 16:27:06] ppcls INFO: name : FC
[2022/05/21 16:27:06] ppcls INFO: infer_add_softmax : False
[2022/05/21 16:27:06] ppcls INFO: infer_output_key : features
[2022/05/21 16:27:06] ppcls INFO: name : RecModel
[2022/05/21 16:27:06] ppcls INFO: DataLoader :
[2022/05/21 16:27:06] ppcls INFO: Eval :
[2022/05/21 16:27:06] ppcls INFO: Gallery :
[2022/05/21 16:27:06] ppcls INFO: dataset :
[2022/05/21 16:27:06] ppcls INFO: cls_label_path : /home/aistudio/work/dataset/all/test_list.txt
[2022/05/21 16:27:06] ppcls INFO: image_root : /home/aistudio/work/dataset/all/
[2022/05/21 16:27:06] ppcls INFO: name : VeriWild
[2022/05/21 16:27:06] ppcls INFO: transform_ops :
[2022/05/21 16:27:06] ppcls INFO: DecodeImage :
[2022/05/21 16:27:06] ppcls INFO: channel_first : False
[2022/05/21 16:27:06] ppcls INFO: to_rgb : True
[2022/05/21 16:27:06] ppcls INFO: ResizeImage :
[2022/05/21 16:27:06] ppcls INFO: size : 224
[2022/05/21 16:27:06] ppcls INFO: NormalizeImage :
[2022/05/21 16:27:06] ppcls INFO: mean : [0.485, 0.456, 0.406]
[2022/05/21 16:27:06] ppcls INFO: order :
[2022/05/21 16:27:06] ppcls INFO: scale : 0.00392157
[2022/05/21 16:27:06] ppcls INFO: std : [0.229, 0.224, 0.225]
[2022/05/21 16:27:06] ppcls INFO: loader :
[2022/05/21 16:27:06] ppcls INFO: num_workers : 4
[2022/05/21 16:27:06] ppcls INFO: use_shared_memory : True
[2022/05/21 16:27:06] ppcls INFO: sampler :
[2022/05/21 16:27:06] ppcls INFO: batch_size : 64
[2022/05/21 16:27:06] ppcls INFO: drop_last : False
[2022/05/21 16:27:06] ppcls INFO: name : DistributedBatchSampler
[2022/05/21 16:27:06] ppcls INFO: shuffle : False
[2022/05/21 16:27:06] ppcls INFO: Query :
[2022/05/21 16:27:06] ppcls INFO: dataset :
[2022/05/21 16:27:06] ppcls INFO: cls_label_path : /home/aistudio/work/dataset/all/test_list.txt
[2022/05/21 16:27:06] ppcls INFO: image_root : /home/aistudio/work/dataset/all/
[2022/05/21 16:27:06] ppcls INFO: name : VeriWild
[2022/05/21 16:27:06] ppcls INFO: transform_ops :
[2022/05/21 16:27:06] ppcls INFO: DecodeImage :
[2022/05/21 16:27:06] ppcls INFO: channel_first : False
[2022/05/21 16:27:06] ppcls INFO: to_rgb : True
[2022/05/21 16:27:06] ppcls INFO: ResizeImage :
[2022/05/21 16:27:06] ppcls INFO: size : 224
[2022/05/21 16:27:06] ppcls INFO: NormalizeImage :
[2022/05/21 16:27:06] ppcls INFO: mean : [0.485, 0.456, 0.406]
[2022/05/21 16:27:06] ppcls INFO: order :
[2022/05/21 16:27:06] ppcls INFO: scale : 0.00392157
[2022/05/21 16:27:06] ppcls INFO: std : [0.229, 0.224, 0.225]
[2022/05/21 16:27:06] ppcls INFO: loader :
[2022/05/21 16:27:06] ppcls INFO: num_workers : 4
[2022/05/21 16:27:06] ppcls INFO: use_shared_memory : True
[2022/05/21 16:27:06] ppcls INFO: sampler :
[2022/05/21 16:27:06] ppcls INFO: batch_size : 64
[2022/05/21 16:27:06] ppcls INFO: drop_last : False
[2022/05/21 16:27:06] ppcls INFO: name : DistributedBatchSampler
[2022/05/21 16:27:06] ppcls INFO: shuffle : False
[2022/05/21 16:27:06] ppcls INFO: Train :
[2022/05/21 16:27:06] ppcls INFO: dataset :
[2022/05/21 16:27:06] ppcls INFO: cls_label_path : /home/aistudio/work/dataset/all/train_list.txt
[2022/05/21 16:27:06] ppcls INFO: image_root : /home/aistudio/work/dataset/all/
[2022/05/21 16:27:06] ppcls INFO: name : ImageNetDataset
[2022/05/21 16:27:06] ppcls INFO: transform_ops :
[2022/05/21 16:27:06] ppcls INFO: DecodeImage :
[2022/05/21 16:27:06] ppcls INFO: channel_first : False
[2022/05/21 16:27:06] ppcls INFO: to_rgb : True
[2022/05/21 16:27:06] ppcls INFO: RandCropImage :
[2022/05/21 16:27:06] ppcls INFO: size : 224
[2022/05/21 16:27:06] ppcls INFO: RandFlipImage :
[2022/05/21 16:27:06] ppcls INFO: flip_code : 1
[2022/05/21 16:27:06] ppcls INFO: NormalizeImage :
[2022/05/21 16:27:06] ppcls INFO: mean : [0.485, 0.456, 0.406]
[2022/05/21 16:27:06] ppcls INFO: order :
[2022/05/21 16:27:06] ppcls INFO: scale : 1.0/255.0
[2022/05/21 16:27:06] ppcls INFO: std : [0.229, 0.224, 0.225]
[2022/05/21 16:27:06] ppcls INFO: loader :
[2022/05/21 16:27:06] ppcls INFO: num_workers : 4
[2022/05/21 16:27:06] ppcls INFO: use_shared_memory : True
[2022/05/21 16:27:06] ppcls INFO: sampler :
[2022/05/21 16:27:06] ppcls INFO: batch_size : 256
[2022/05/21 16:27:06] ppcls INFO: drop_last : False
[2022/05/21 16:27:06] ppcls INFO: name : DistributedBatchSampler
[2022/05/21 16:27:06] ppcls INFO: shuffle : True
[2022/05/21 16:27:06] ppcls INFO: Global :
[2022/05/21 16:27:06] ppcls INFO: checkpoints : None
[2022/05/21 16:27:06] ppcls INFO: device : gpu
[2022/05/21 16:27:06] ppcls INFO: epochs : 100
[2022/05/21 16:27:06] ppcls INFO: eval_during_train : True
[2022/05/21 16:27:06] ppcls INFO: eval_interval : 1
[2022/05/21 16:27:06] ppcls INFO: eval_mode : retrieval
[2022/05/21 16:27:06] ppcls INFO: image_shape : [3, 224, 224]
[2022/05/21 16:27:06] ppcls INFO: output_dir : ./output_resize_wide/
[2022/05/21 16:27:06] ppcls INFO: pretrained_model : /home/aistudio/PaddleClas/output_resize_wide/RecModel/best_model
[2022/05/21 16:27:06] ppcls INFO: print_batch_step : 10
[2022/05/21 16:27:06] ppcls INFO: save_inference_dir : ./inference
[2022/05/21 16:27:06] ppcls INFO: save_interval : 1
[2022/05/21 16:27:06] ppcls INFO: to_static : False
[2022/05/21 16:27:06] ppcls INFO: use_dali : False
[2022/05/21 16:27:06] ppcls INFO: use_visualdl : True
[2022/05/21 16:27:06] ppcls INFO: Loss :
[2022/05/21 16:27:06] ppcls INFO: Eval :
[2022/05/21 16:27:06] ppcls INFO: CELoss :
[2022/05/21 16:27:06] ppcls INFO: weight : 1.0
[2022/05/21 16:27:06] ppcls INFO: Train :
[2022/05/21 16:27:06] ppcls INFO: CELoss :
[2022/05/21 16:27:06] ppcls INFO: weight : 1.0
[2022/05/21 16:27:06] ppcls INFO: Metric :
[2022/05/21 16:27:06] ppcls INFO: Eval :
[2022/05/21 16:27:06] ppcls INFO: Recallk :
[2022/05/21 16:27:06] ppcls INFO: topk : [1, 5]
[2022/05/21 16:27:06] ppcls INFO: Optimizer :
[2022/05/21 16:27:06] ppcls INFO: lr :
[2022/05/21 16:27:06] ppcls INFO: learning_rate : 0.002
[2022/05/21 16:27:06] ppcls INFO: name : Cosine
[2022/05/21 16:27:06] ppcls INFO: warmup_epoch : 5
[2022/05/21 16:27:06] ppcls INFO: momentum : 0.9
[2022/05/21 16:27:06] ppcls INFO: name : Momentum
[2022/05/21 16:27:06] ppcls INFO: regularizer :
[2022/05/21 16:27:06] ppcls INFO: coeff : 1e-05
[2022/05/21 16:27:06] ppcls INFO: name : L2
[2022/05/21 16:27:06] ppcls INFO: train with paddle 2.2.2 and device CUDAPlace(0)
[2022/05/21 16:27:12] ppcls INFO: unique_endpoints {''}
[2022/05/21 16:27:12] ppcls INFO: Found /home/aistudio/.paddleclas/weights/PPLCNet_x2_5_ssld_pretrained.pdparams
[2022/05/21 16:27:13] ppcls INFO: gallery feature calculation process: [0/617]
[2022/05/21 16:27:14] ppcls INFO: gallery feature calculation process: [10/617]
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[2022/05/21 16:28:38] ppcls INFO: Build gallery done, all feat shape: [39457, 4096], begin to eval..
[2022/05/21 16:28:39] ppcls INFO: query feature calculation process: [0/617]
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[2022/05/21 16:30:03] ppcls INFO: Build query done, all feat shape: [39457, 4096], begin to eval..
[2022/05/21 16:30:05] ppcls INFO: [Eval][Epoch 0][Avg]recall1: 0.96101, recall5: 0.98078

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