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请问,文字图片方向分类训练时如何使用预训练模型text_image_orientation_pretrained?
直接将PPLCNet_x1_0.yaml的Global中pretrained_model设置为text_image_orientation_pretrained.pdparams的路径(text_image_orientation_pretrained不加后缀pdparams)即可吗? 如: Global: checkpoints: null
pretrained_model: pretrained_model/text_image_orientation/text_image_orientation_pretrained output_dir: ./output/ device: gpu save_interval: 1 eval_during_train: True eval_interval: 1
epochs: 1 print_batch_step: 10 use_visualdl: False
image_shape: [3, 224, 224] save_inference_dir: ./inference
The text was updated successfully, but these errors were encountered:
我尝试了,这样是正确的
Sorry, something went wrong.
嗯嗯,这样可以的。
TingquanGao
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请问,文字图片方向分类训练时如何使用预训练模型text_image_orientation_pretrained?
直接将PPLCNet_x1_0.yaml的Global中pretrained_model设置为text_image_orientation_pretrained.pdparams的路径(text_image_orientation_pretrained不加后缀pdparams)即可吗?
如:
Global:
checkpoints: null
pretrained_model: null
pretrained_model: pretrained_model/text_image_orientation/text_image_orientation_pretrained
output_dir: ./output/
device: gpu
save_interval: 1
eval_during_train: True
eval_interval: 1
epochs: 60
epochs: 1
print_batch_step: 10
use_visualdl: False
used for static mode and model export
image_shape: [3, 224, 224]
save_inference_dir: ./inference
The text was updated successfully, but these errors were encountered: