forgetest5
/
PaddleOCR
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

update angle class doc (#1635)

This commit is contained in:
zhoujun 2021-01-06 17:07:37 +08:00 committed by GitHub
parent 541c3170f8
commit e7bf6c86cc
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 7 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
doc/doc_ch/angle_class.md
View File

@ -21,9 +21,8 @@ ln -sf <path/to/dataset> <path/to/paddle_ocr>/train_data/cls/dataset
``` ```
" 图像文件名 图像标注信息 " " 图像文件名 图像标注信息 "
train/word_001.jpg 0
train_data/cls/word_001.jpg 0 train/word_002.jpg 180
train_data/cls/word_002.jpg 180
``` ```
最终训练集应有如下文件结构： 最终训练集应有如下文件结构：
@ -55,6 +54,8 @@ train_data/cls/word_002.jpg 180
### 启动训练 ### 启动训练
将准备好的txt文件和图片文件夹路径分别写入配置文件的 `Train/Eval.dataset.label_file_list` 和 `Train/Eval.dataset.data_dir` 字段下，`Train/Eval.dataset.data_dir`字段下的路径和文件里记载的图片名构成了图片的绝对路径。
PaddleOCR提供了训练脚本、评估脚本和预测脚本。 PaddleOCR提供了训练脚本、评估脚本和预测脚本。
开始训练: 开始训练:

5
doc/doc_en/angle_class_en.md
View File

@ -23,8 +23,8 @@ First put the training images in the same folder (train_images), and use a txt f
``` ```
" Image file name Image annotation " " Image file name Image annotation "
train_data/word_001.jpg 0 train/word_001.jpg 0
train_data/word_002.jpg 180 train/word_002.jpg 180
``` ```
The final training set should have the following file structure: The final training set should have the following file structure:
@ -57,6 +57,7 @@ containing all images (test) and a cls_gt_test.txt. The structure of the test se
``` ```
### TRAINING ### TRAINING
Write the prepared txt file and image folder path into the configuration file under the `Train/Eval.dataset.label_file_list` and `Train/Eval.dataset.data_dir` fields, the absolute path of the image consists of the `Train/Eval.dataset.data_dir` field and the image name recorded in the txt file.
PaddleOCR provides training scripts, evaluation scripts, and prediction scripts. PaddleOCR provides training scripts, evaluation scripts, and prediction scripts.