[doc] update inference args default type (#8822)

* add finetune en doc & test=document_fix

* fix dead link & test=document_fix

* fix dead link & test=document_fix

* update check img

* fix det res dtype

* update args default type & test=document_fix

doc/doc_ch/inference_args.md

@@ -88,7 +88,7 @@ PSE算法相关参数如下
 | :--: | :--: | :--: | :--: |
 |  rec_algorithm | str | "CRNN" | 文本识别算法名称，目前支持`CRNN`, `SRN`, `RARE`, `NETR`, `SAR`, `ViTSTR`, `ABINet`, `VisionLAN`, `SPIN`, `RobustScanner`, `SVTR`, `SVTR_LCNet` |
 |  rec_model_dir | str | 无，如果使用识别模型，该项是必填项 | 识别inference模型路径 |
-|  rec_image_shape | list | [3, 48, 320] | 识别时的图像尺寸 |
+|  rec_image_shape | str | "3,48,320" | 识别时的图像尺寸 |
 |  rec_batch_num | int | 6 | 识别的batch size |
 |  max_text_length | int | 25 | 识别结果最大长度，在`SRN`中有效 |
 |  rec_char_dict_path | str | "./ppocr/utils/ppocr_keys_v1.txt" | 识别的字符字典文件 |
@@ -115,7 +115,7 @@ PSE算法相关参数如下
 | :--: | :--: | :--: | :--: |
 |  use_angle_cls | bool | False | 是否使用方向分类器 |
 |  cls_model_dir | str | 无，如果需要使用，则必须显式指定路径 | 方向分类器inference模型路径 |
-|  cls_image_shape | list | [3, 48, 192] | 预测尺度 |
+|  cls_image_shape | str | "3,48,192" | 预测尺度 |
 |  label_list | list | ['0', '180'] | class id对应的角度值 |
 |  cls_batch_num | int | 6 | 方向分类器预测的batch size |
 |  cls_thresh | float | 0.9 | 预测阈值，模型预测结果为180度，且得分大于该阈值时，认为最终预测结果为180度，需要翻转 |

doc/doc_en/inference_args_en.md

@@ -88,7 +88,7 @@ The relevant parameters of the PSE algorithm are as follows
 | :--: | :--: | :--: | :--: |
 |  rec_algorithm | str | "CRNN" | Text recognition algorithm name, currently supports `CRNN`, `SRN`, `RARE`, `NETR`, `SAR`, `ViTSTR`, `ABINet`, `VisionLAN`, `SPIN`, `RobustScanner`, `SVTR`, `SVTR_LCNet` |
 |  rec_model_dir | str | None, it is required if using the recognition model | recognition inference model paths |
-|  rec_image_shape | list | [3, 48, 320] | Image size at the time of recognition |
+|  rec_image_shape | str | "3,48,320" ] | Image size at the time of recognition |
 |  rec_batch_num | int | 6 | batch size |
 |  max_text_length | int | 25 | The maximum length of the recognition result, valid in `SRN` |
 |  rec_char_dict_path | str | "./ppocr/utils/ppocr_keys_v1.txt" | character dictionary file |
@@ -115,7 +115,7 @@ The relevant parameters of the PSE algorithm are as follows
 | :--: | :--: | :--: | :--: |
 |  use_angle_cls | bool | False | whether to use an angle classifier |
 |  cls_model_dir | str | None, if you need to use, you must specify the path explicitly | angle classifier inference model path |
-|  cls_image_shape | list | [3, 48, 192] | prediction shape |
+|  cls_image_shape | str | "3,48,192" | prediction shape |
 |  label_list | list | ['0', '180'] | The angle value corresponding to the class id |
 |  cls_batch_num | int | 6 | batch size |
 |  cls_thresh | float | 0.9 | Prediction threshold, when the model prediction result is 180 degrees, and the score is greater than the threshold, the final prediction result is considered to be 180 degrees and needs to be flipped |