diff --git a/doc/doc_ch/inference.md b/doc/doc_ch/inference.md index aea7ff1de242dec75cae26a2bf3d6838d7559882..09303e93534b091ee50cb6d62045b95faee6cfe5 100755 --- a/doc/doc_ch/inference.md +++ b/doc/doc_ch/inference.md @@ -131,12 +131,12 @@ python3 tools/export_model.py -c configs/cls/cls_mv3.yml -o Global.pretrained_mo # 下载超轻量中文检测模型： wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar tar xf ch_ppocr_mobile_v2.0_det_infer.tar -python3 tools/infer/predict_det.py --image_dir="./doc/imgs/22.jpg" --det_model_dir="./ch_ppocr_mobile_v2.0_det_infer/" +python3 tools/infer/predict_det.py --image_dir="./doc/imgs/00018069.jpg" --det_model_dir="./ch_ppocr_mobile_v2.0_det_infer/" ``` 可视化文本检测结果默认保存到`./inference_results`文件夹里面，结果文件的名称前缀为'det_res'。结果示例如下： -![](../imgs_results/det_res_22.jpg) +![](../imgs_results/det_res_00018069.jpg) 通过参数`limit_type`和`det_limit_side_len`来对图片的尺寸进行限制， `litmit_type`可选参数为[`max`, `min`]， diff --git a/doc/doc_en/inference_en.md b/doc/doc_en/inference_en.md index db86b109d1a13d00aab833aa31d0279622e7c7f8..3fcd36c076c7d969420818484034ed610e76bc27 100755 --- a/doc/doc_en/inference_en.md +++ b/doc/doc_en/inference_en.md @@ -138,12 +138,12 @@ For lightweight Chinese detection model inference, you can execute the following wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar tar xf ch_ppocr_mobile_v2.0_det_infer.tar # predict -python3 tools/infer/predict_det.py --image_dir="./doc/imgs/22.jpg" --det_model_dir="./inference/det_db/" +python3 tools/infer/predict_det.py --image_dir="./doc/imgs/00018069.jpg" --det_model_dir="./inference/det_db/" ``` The visual text detection results are saved to the ./inference_results folder by default, and the name of the result file is prefixed with'det_res'. 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