PaddleClas/ppcls/configs/GeneralRecognition/Gallery2FC_PPLCNet_x2_5.yaml

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YAML

# global configs
Global:
pretrained_model: ./pretrained/general_PPLCNet_x2_5_pretrained_v1.0_quant
# used for static mode and model export
image_shape: [3, 224, 224]
save_inference_dir: ./inference/general_PPLCNet_x2_5_quant/inference
# for quantizaiton or prune model
Slim:
## for prune
quant:
name: pact
# model architecture
Arch:
name: RecModel
Backbone:
name: PPLCNet_x2_5
pretrained: False
use_ssld: True
BackboneStopLayer:
name: "flatten"
Neck:
name: FC
embedding_size: 1280
class_num: 512
Head:
name: ArcMargin
embedding_size: 512
class_num: 185341
margin: 0.2
scale: 30
# indexing engine config
IndexProcess:
image_root: "./drink_dataset_v1.0/gallery/"
data_file: "./drink_dataset_v1.0/gallery/drink_label.txt"
delimiter: "\t"
batch_size: 2
transform_ops:
- 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: