From 3602b066ba3048b0e99e4e8d4a3caa2d0be4d7cb Mon Sep 17 00:00:00 2001 From: tink2123 Date: Tue, 15 Dec 2020 20:32:18 +0800 Subject: [PATCH] fix ic15.yml and del img_words_en --- configs/rec/rec_icdar15_train.yml | 7 ++++--- doc/doc_ch/recognition.md | 6 ++---- doc/doc_en/recognition_en.md | 6 ++---- doc/imgs_words_en/.DS_Store | Bin 6148 -> 0 bytes 4 files changed, 8 insertions(+), 11 deletions(-) delete mode 100644 doc/imgs_words_en/.DS_Store diff --git a/configs/rec/rec_icdar15_train.yml b/configs/rec/rec_icdar15_train.yml index 7efbd5cf..3de0ce77 100644 --- a/configs/rec/rec_icdar15_train.yml +++ b/configs/rec/rec_icdar15_train.yml @@ -36,12 +36,13 @@ Architecture: algorithm: CRNN Transform: Backbone: - name: ResNet - layers: 34 + name: MobileNetV3 + scale: 0.5 + model_name: large Neck: name: SequenceEncoder encoder_type: rnn - hidden_size: 256 + hidden_size: 96 Head: name: CTCHead fc_decay: 0 diff --git a/doc/doc_ch/recognition.md b/doc/doc_ch/recognition.md index e9b2dbd9..491507d9 100644 --- a/doc/doc_ch/recognition.md +++ b/doc/doc_ch/recognition.md @@ -353,8 +353,7 @@ python3 tools/infer_rec.py -c configs/rec/rec_icdar15_train.yml -o Global.checkp ``` infer_img: doc/imgs_words/en/word_1.png - index: [19 24 18 23 29] - word : joint + result: ('joint', 0.9998967) ``` 预测使用的配置文件必须与训练一致，如您通过 `python3 tools/train.py -c configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml` 完成了中文模型的训练， @@ -373,6 +372,5 @@ python3 tools/infer_rec.py -c configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v ``` infer_img: doc/imgs_words/ch/word_1.jpg - index: [2092 177 312 2503] - word : 韩国小馆 + result: ('韩国小馆', 0.997218) ``` diff --git a/doc/doc_en/recognition_en.md b/doc/doc_en/recognition_en.md index 3169d48d..bc8faa0f 100644 --- a/doc/doc_en/recognition_en.md +++ b/doc/doc_en/recognition_en.md @@ -347,8 +347,7 @@ Get the prediction result of the input image: ``` infer_img: doc/imgs_words/en/word_1.png - index: [19 24 18 23 29] - word : joint + result: ('joint', 0.9998967) ``` The configuration file used for prediction must be consistent with the training. For example, you completed the training of the Chinese model with `python3 tools/train.py -c configs/rec/ch_ppocr_v2.0/rec_chinese_lite_train_v2.0.yml`, you can use the following command to predict the Chinese model: @@ -366,6 +365,5 @@ Get the prediction result of the input image: ``` infer_img: doc/imgs_words/ch/word_1.jpg - index: [2092 177 312 2503] - word : 韩国小馆 + result: ('韩国小馆', 0.997218) ``` diff --git a/doc/imgs_words_en/.DS_Store b/doc/imgs_words_en/.DS_Store deleted file mode 100644 index 5008ddfcf53c02e82d7eee2e57c38e5672ef89f6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0