Create VGG16_CIFAR10_DeepHash.yaml

ppcls/configs/quick_start/professional/VGG16_CIFAR10_DeepHash.yaml

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+# global configs
+Global:
+  checkpoints: null
+  pretrained_model: null
+  output_dir: ./output
+  device: gpu
+  save_interval: 1
+  eval_during_train: True
+  eval_interval: 1
+  eval_mode: "retrieval"
+  epochs: 128
+  print_batch_step: 10
+  use_visualdl: False
+
+  # used for static mode and model export
+  image_shape: [3, 227, 227]
+  save_inference_dir: ./inference
+
+  #feature postprocess
+  feature_normalize: False
+  feature_binarize: "round"
+
+# model architecture
+Arch:
+  name: "RecModel"
+  Backbone:
+    name: "VGG16"
+    pretrained: True
+    class_num: 48
+  Head:
+    name: "FC"
+    class_num: 10
+    embedding_size: 48
+    
+  infer_output_key:  "features"
+  infer_add_softmax: "false"
+
+# loss function config for train/eval process
+Loss:
+  Train:
+    - CELoss:
+        weight: 1.0
+        epsilon: 0.1
+  Eval:
+    - CELoss:
+        weight: 1.0
+
+Optimizer:
+  name: Momentum
+  momentum: 0.9
+  lr:
+    name: Piecewise
+    learning_rate: 0.01
+    decay_epochs: [200]
+    values: [0.01, 0.001]
+
+# data loader for train and eval
+DataLoader:
+  Train:
+    dataset:
+      name: ImageNetDataset
+      image_root: ./dataset/cifar10/
+      cls_label_path: ./dataset/cifar10/cifar10-2/train.txt
+      transform_ops:
+        - DecodeImage:
+            to_rgb: True
+            channel_first: False
+        - ResizeImage:
+            size: 256
+        - RandCropImage:
+            size: 227
+        - RandFlipImage:
+            flip_code: 1
+        - NormalizeImage:
+            scale: 1.0/255.0
+            mean: [0.4914, 0.4822, 0.4465]
+            std: [0.2023, 0.1994, 0.2010]
+            order: ''
+    sampler:
+      name: DistributedBatchSampler
+      batch_size: 128
+      drop_last: False
+      shuffle: True
+    loader:
+      num_workers: 4
+      use_shared_memory: True
+
+  Eval:
+    Query:
+      dataset: 
+        name: ImageNetDataset
+        image_root: ./dataset/cifar10/
+        cls_label_path: ./dataset/cifar10/cifar10-2/test.txt
+        transform_ops:
+          - DecodeImage:
+              to_rgb: True
+              channel_first: False
+          - ResizeImage:
+              size: 227
+          - NormalizeImage:
+              scale: 1.0/255.0
+              mean: [0.4914, 0.4822, 0.4465]
+              std: [0.2023, 0.1994, 0.2010]
+              order: ''
+      sampler:
+        name: DistributedBatchSampler
+        batch_size: 512
+        drop_last: False
+        shuffle: False
+      loader:
+        num_workers: 4
+        use_shared_memory: True
+
+    Gallery:
+      dataset: 
+        name: ImageNetDataset
+        image_root: ./dataset/cifar10/
+        cls_label_path: ./dataset/cifar10/cifar10-2/database.txt
+        transform_ops:
+          - DecodeImage:
+              to_rgb: True
+              channel_first: False
+          - ResizeImage:
+              size: 227
+          - NormalizeImage:
+              scale: 1.0/255.0
+              mean: [0.4914, 0.4822, 0.4465]
+              std: [0.2023, 0.1994, 0.2010]
+              order: ''
+      sampler:
+        name: DistributedBatchSampler
+        batch_size: 512
+        drop_last: False
+        shuffle: False
+      loader:
+        num_workers: 4
+        use_shared_memory: True
+
+Metric:
+  Train:
+    - TopkAcc:
+        topk: [1, 5]
+  Eval:
+    - mAP:
+    - Precisionk:
+        topk: [1, 5]
+