rm -rf binary_v2 configure file

ppcls/configs/GeneralRecognition/GeneralRecognition_PPLCNet_x2_5_binary_v2.yaml

-# global configs
-Global:
-  checkpoints: null
-  pretrained_model: null
-  output_dir: ./output_v3/
-  device: gpu
-  save_interval: 1
-  eval_during_train: True
-  eval_interval: 1
-  epochs: 100
-  print_batch_step: 10
-  use_visualdl: False
-  # used for static mode and model export
-  image_shape: [3, 224, 224]
-  save_inference_dir: ./inference
-  eval_mode: retrieval
-  use_dali: False
-  to_static: False
-
-  #feature postprocess
-  feature_normalize: False
-  feature_binarize: "sign"
-
-# model architecture
-Arch:
-  name: RecModel
-  infer_output_key: features
-  infer_add_softmax: False
-
-  Backbone:
-    name: PPLCNet_x2_5_Tanh
-    pretrained: True
-    use_ssld: True
-    class_num: 512
-  Head:
-    name: CircleMargin
-    margin: 0.2
-    scale: 30
-    embedding_size: 512
-    class_num: 271083
-
-# loss function config for traing/eval process
-Loss:
-  Train:
-    - CELoss:
-        weight: 1.0
-        epsilon: 0.1
-  Eval:
-    - CELoss:
-        weight: 1.0
-        epsilon: 0.1
-
-Optimizer:
-  name: Momentum
-  momentum: 0.9
-  lr:
-    name: Cosine
-    learning_rate: 0.04
-    warmup_epoch: 5
-  regularizer:
-    name: 'L2'
-    coeff: 0.00001
-
-
-# data loader for train and eval
-DataLoader:
-  Train:
-    dataset:
-      name: ImageNetDataset
-      image_root: ./dataset/all_data
-      cls_label_path: ./dataset/all_data/train_reg_all_data_v2.txt
-      transform_ops:
-        - DecodeImage:
-            to_rgb: True
-            channel_first: False
-        - RandCropImage:
-            size: 224
-        - RandFlipImage:
-            flip_code: 1
-        - NormalizeImage:
-            scale: 1.0/255.0
-            mean: [0.485, 0.456, 0.406]
-            std: [0.229, 0.224, 0.225]
-            order: ''
-
-    sampler:
-      name: DistributedBatchSampler
-      batch_size: 256
-      drop_last: False
-      shuffle: True
-    loader:
-      num_workers: 4
-      use_shared_memory: True
-
-  Eval:
-    Query:
-      dataset: 
-        name: VeriWild
-        image_root: ./dataset/Aliproduct/
-        cls_label_path: ./dataset/Aliproduct/val_list.txt
-        transform_ops:
-          - DecodeImage:
-              to_rgb: True
-              channel_first: False
-          - ResizeImage:
-              size: 224
-          - NormalizeImage:
-              scale: 0.00392157
-              mean: [0.485, 0.456, 0.406]
-              std: [0.229, 0.224, 0.225]
-              order: ''
-      sampler:
-        name: DistributedBatchSampler
-        batch_size: 64
-        drop_last: False
-        shuffle: False
-      loader:
-        num_workers: 4
-        use_shared_memory: True
-
-Metric:
-  Eval:
-    - Recallk:
-        topk: [1, 5]