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rec_r45_abinet for export model #10892

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merged 2 commits into from
Sep 21, 2023
Merged

rec_r45_abinet for export model #10892

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6fe96c8
When exporting the inference model for ABINet, adapt to the 'image_sh…
xlg-go Sep 13, 2023
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xlg-go Sep 13, 2023
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2 changes: 1 addition & 1 deletion configs/rec/rec_r45_abinet.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ Global:
cal_metric_during_train: True
pretrained_model: ./pretrain_models/abinet_vl_pretrained
checkpoints:
save_inference_dir:
save_inference_dir: ./output/rec/r45_abinet/infer
use_visualdl: False
infer_img: doc/imgs_words_en/word_10.png
# for data or label process
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8 changes: 6 additions & 2 deletions tools/export_model.py
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Expand Up @@ -93,11 +93,12 @@ def export_single_model(model,
]
model = to_static(model, input_spec=other_shape)
elif arch_config["algorithm"] == "ABINet":
if not input_shape:
input_shape = [3, 32, 128]
other_shape = [
paddle.static.InputSpec(
shape=[None, 3, 32, 128], dtype="float32"),
shape=[None] + input_shape, dtype="float32"),
]
# print([None, 3, 32, 128])
model = to_static(model, input_spec=other_shape)
elif arch_config["algorithm"] in ["NRTR", "SPIN", 'RFL']:
other_shape = [
Expand Down Expand Up @@ -270,6 +271,9 @@ def main():
"name"] != 'MultiHead':
input_shape = config["Eval"]["dataset"]["transforms"][-2][
'SVTRRecResizeImg']['image_shape']
elif arch_config["algorithm"].lower() == "ABINet".lower():
rec_rs = [c for c in config["Eval"]["dataset"]["transforms"] if 'ABINetRecResizeImg' in c]
input_shape = rec_rs[0]['ABINetRecResizeImg']['image_shape'] if rec_rs else None
else:
input_shape = None

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