eval.yaml

mode: 'valid'
ARCHITECTURE:
    name: "ResNet50_vd"

pretrained_model: "./pretrained_model/ResNet50_vd_pretrained"
classes_num: 1000
total_images: 1281167
topk: 5
image_shape: [3, 224, 224]

VALID:
    batch_size: 16
    num_workers: 4
    file_list: "./dataset/ILSVRC2012/val_list.txt"
    data_dir: "./dataset/ILSVRC2012/"
    shuffle_seed: 0
    transforms:
        - DecodeImage:
            to_rgb: True
            channel_first: False
        - ResizeImage:
            resize_short: 256
        - CropImage:
            size: 224
        - NormalizeImage:
            scale: 1.0/255.0
            mean: [0.485, 0.456, 0.406]
            std: [0.229, 0.224, 0.225]
            order: ''
        - ToCHWImage: