--det_model_path ./models/ch_ptocr_v4_det_server_infer.pth
--rec_model_path ./models/ch_ptocr_v4_rec_server_infer.pth
--cls_model_path ./models/ch_ptocr_mobile_v2.0_cls_infer.pth
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🔥 Quick OCR - 简化的OCR命令行工具
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🚀 初始化OCR实例...
使用华为NPU设备: npu:0
Warning: since the loaded file is not a zipfile, only "torch.device" and "str" type parameters are currently supported for parameter types o
f map_location. If parameter types of map_location is "Callable[[torch.Tensor, str], torch.Tensor]" or "Dict[str, str]", which is only suppo
rt for zipfile, all tensors are currently loaded onto the CPU, which may introduce problems
PytorchPaddleOCR 初始化失败: Error(s) in loading state_dict for BaseModel:
Missing key(s) in state_dict: "backbone.stem.stem1.conv.weight", "backbone.stem.stem1.bn.weight", "backbone.stem.stem1.bn.bias", "ba
ckbone.stem.stem1.bn.running_mean", "backbone.stem.stem1.bn.running_var", "backbone.stem.stem2a.conv.weight", "backbone.stem.stem2a.bn.weigh
t", "backbone.stem.stem2a.bn.bias", "backbone.stem.stem2a.bn.running_mean", "backbone.stem.stem2a.bn.running_var", "backbone.stem.stem2b.con
v.weight", "backbone.stem.stem2b.bn.weight", "backbone.stem.stem2b.bn.bias", "backbone.stem.stem2b.bn.running_mean", "backbone.stem.stem2b.b
n.running_var", "backbone.stem.stem3.conv.weight", "backbone.stem.stem3.bn.weight", "backbone.stem.stem3.bn.bias", "backbone.stem.stem3.bn.r
unning_mean", "backbone.stem.stem3.bn.running_var", "backbone.stem.stem4.conv.weight", "backbone.stem.stem4.bn.weight", "backbone.stem.stem4
.bn.bias", "backbone.stem.stem4.bn.running_mean", "backbone.stem.stem4.bn.running_var", "backbone.stages.0.blocks.0.aggregation_squeeze_conv
.conv.weight", "backbone.stages.0.blocks.0.aggregation_squeeze_conv.bn.weight", "backbone.stages.0.blocks.0.aggregation_squeeze_conv.bn.bias
", "backbone.stages.0.blocks.0.aggregation_squeeze_conv.bn.running_mean", "backbone.stages.0.blocks.0.aggregation_squeeze_conv.bn.running_va
r", "backbone.stages.0.blocks.0.aggregation_excitation_conv.conv.weight", "backbone.stages.0.blocks.0.aggregation_excitation_conv.bn.weight"
, "backbone.stages.0.blocks.0.aggregation_excitation_conv.bn.bias", "backbone.stages.0.blocks.0.aggregation_excitation_conv.bn.running_mean"
, "backbone.stages.0.blocks.0.aggregation_excitation_conv.bn.running_var", "backbone.stages.1.blocks.0.aggregation_squeeze_conv.conv.weight"
, "backbone.stages.1.blocks.0.aggregation_squeeze_conv.bn.weight", "backbone.stages.1.blocks.0.aggregation_squeeze_conv.bn.bias", "backbone.
stages.1.blocks.0.aggregation_squeeze_conv.bn.running_mean", "backbone.stages.1.blocks.0.aggregation_squeeze_conv.bn.running_var", "backbone
.stages.1.blocks.0.aggregation_excitation_conv.conv.weight", "backbone.stages.1.blocks.0.aggregation_excitation_conv.bn.weight", "backbone.s
tages.1.blocks.0.aggregation_excitation_conv.bn.bias", "backbone.stages.1.blocks.0.aggregation_excitation_conv.bn.running_mean", "backbone.s
tages.1.blocks.0.aggregation_excitation_conv.bn.running_var", "backbone.stages.2.blocks.0.layers.0.conv1.conv.weight", "backbone.stages.2.bl
ocks.0.layers.0.conv1.bn.weight", "backbone.stages.2.blocks.0.layers.0.conv1.bn.bias", "backbone.stages.2.blocks.0.layers.0.conv1.bn.running
_mean", "backbone.stages.2.blocks.0.layers.0.conv1.bn.running_var", "backbone.stages.2.blocks.0.layers.0.conv2.conv.weight", "backbone.stage
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.stages.2.blocks.0.layers.1.conv1.bn.weight", "backbone.stages.2.blocks.0.layers.1.conv1.bn.bias", "backbone.stages.2.blocks.0.layers.1.conv1.bn.running_mean", "backbone.stages.2.blocks.0.layers.1.conv1.bn.running_var", "backbone.stages.2.blocks.0.layers.1.conv2.conv.weight", "backbone.stages.2.blocks.0.layers.1.conv2.bn.weight", "backbone.stages.2.blocks.0.layers.1.conv2.bn.bias", "backbone.stages.2.blocks.0.layers.1.conv2.bn.running_mean", "backbone.stages.2.blocks.0.layers.1.conv2.bn.running_var", "backbone.stages.2.blocks.0.layers.2.conv1.conv.weight", "backbone.stages.2.blocks.0.layers.2.conv1.bn.weight", "backbone.stages.2.blocks.0.layers.2.conv1.bn.bias", "backbone.stages.2.blocks.0.layers.2.conv1.bn.running_mean", "backbone.stages.2.blocks.0.layers.2.conv1.bn.running_var", "backbone.stages.2.blocks.0.layers.2.conv2.conv.weight", "backbone.stages.2.blocks.0.layers.2.conv2.bn.weight", "backbone.stages.2.blocks.0.layers.2.conv2.bn.bias", 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"backbone.stages.3.blocks.0.aggregation_excitation_conv.bn.weight", "backbone.stages.3.blocks.0.aggregation_excitation_conv.bn.bias", "backbone.stages.3.blocks.0.aggregation_excitation_conv.bn.running_mean", "backbone.stages.3.blocks.0.aggregation_excitation_conv.bn.running_var", "backbone.last_conv.weight".
命令行：
python quick_ocr.py --image_dir ./images
--det_model_path ./models/ch_ptocr_v4_det_server_infer.pth
--rec_model_path ./models/ch_ptocr_v4_rec_server_infer.pth
--cls_model_path ./models/ch_ptocr_mobile_v2.0_cls_infer.pth
日志如下：
(PyTorch-2.5.1) [root@GPUPHY001 PaddleOCR-NPU]# python quick_ocr.py --image_dir ./images \