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Global:
model: PP-OCRv4_mobile_det
mode: check_dataset # check_dataset/train/evaluate/predict
module: text_det
dataset_dir: "/kaggle/working/PaddleX/dataset/paddlex_dataset"
device: gpu:0
output: "output"
CheckDataset:
convert:
enable: False
src_dataset_type: null
split:
enable: False
train_percent: null
val_percent: null
Train:
epochs_iters: 20
batch_size: 8
learning_rate: 0.002
pretrain_weight_path: https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-OCRv4_mobile_det_pretrained.pdparams
resume_path: null
log_interval: 10
eval_interval: 1
save_interval: 10
Evaluate:
weight_path: "output/best_accuracy/best_accuracy.pdparams"
log_interval: 1
Export:
weight_path: https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-OCRv4_mobile_det_pretrained.pdparams
Predict:
batch_size: 1
model_dir: "output/best_accuracy/inference"
input: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_ocr_001.png"
kernel_option:
run_mode: paddle
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