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fix typos (#16374)

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This commit is contained in:
co63oc
2025-09-15 14:59:03 +08:00
committed by GitHub
parent 70e6aa87eb
commit dfd8efa04f
10 changed files with 16 additions and 16 deletions
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awesome_projects.md
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@@ -15,7 +15,7 @@
| [March7thAssistant](https://github.com/moesnow/March7thAssistant) <a href="https://github.com/moesnow/March7thAssistant"><img src="https://img.shields.io/github/stars/moesnow/March7thAssistant"></a> | Daily Tasks: Stamina recovery, daily training, claiming rewards, commissions, and farming. |
| [PaddlePaddle/models](https://github.com/PaddlePaddle/models) <a href="https://github.com/PaddlePaddle/models"><img src="https://img.shields.io/github/stars/PaddlePaddle/models"></a> |PaddlePaddle's industrial-grade model zoo.|
| [katanaml/sparrow](https://github.com/katanaml/sparrow) <a href="https://github.com/katanaml/sparrow"><img src="https://img.shields.io/github/stars/katanaml/sparrow"></a> | Sparrow is an innovative open-source solution for efficient data extraction and processing from various documents and images. |
| [RapidOCR](https://github.com/RapidAI/RapidOCR) <a href="https://github.com/RapidAI/RapidOCR"><img src="https://img.shields.io/github/stars/RapidAI/RapidOCR"></a> | Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVINO, PaddlePaddle and PyTorch |
| [RapidOCR](https://github.com/RapidAI/RapidOCR) <a href="https://github.com/RapidAI/RapidOCR"><img src="https://img.shields.io/github/stars/RapidAI/RapidOCR"></a> | Awesome OCR multiple programming languages toolkits based on ONNXRuntime, OpenVINO, PaddlePaddle and PyTorch |
| [autoMate](https://github.com/yuruotong1/autoMate) <a href="https://github.com/yuruotong1/autoMate"><img src="https://img.shields.io/github/stars/yuruotong1/autoMate"></a> | AI-Powered Local Automation Tool & Let Your Computer Work for You. |
| [Agent-S](https://github.com/simular-ai/Agent-S) <a href="https://github.com/simular-ai/Agent-S"><img src="https://img.shields.io/github/stars/simular-ai/Agent-S"></a> | A Compositional Generalist-Specialist Framework for Computer Use Agents. |
| [pdf-craft](https://github.com/oomol-lab/pdf-craft) <a href="https://github.com/oomol-lab/pdf-craft"><img src="https://img.shields.io/github/stars/oomol-lab/pdf-craft"></a> | PDF Craft can convert PDF files into various other formats. |
deploy/cpp_infer/src/common/processors.cc
+2 -2
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@@ -79,7 +79,7 @@ Resize::Resize(const std::vector<int> &target_size, bool keep_ratio,
auto interp_value = GetInterp(interp_upper);
if (!interp_value.ok()) {
INFOE("Unknow type: %s", interp_value.status().ToString().c_str());
INFOE("Unknown type: %s", interp_value.status().ToString().c_str());
exit(-1);
}
interp_ = interp_value.value();
@@ -134,7 +134,7 @@ ResizeByShort::ResizeByShort(int target_short_edge, int size_divisor,
auto interp_value = Resize::GetInterp(interp_upper);
if (!interp_value.ok()) {
INFOE("Unknow type: %s", interp_value.status().ToString().c_str());
INFOE("Unknown type: %s", interp_value.status().ToString().c_str());
exit(-1);
}
interp_ = interp_value.value();
deploy/cpp_infer/src/modules/text_recognition/predictor.cc
+1 -1
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@@ -108,7 +108,7 @@ absl::Status TextRecPredictor::CheckRecModelParams() {
auto result_models_check = Utility::GetOcrModelInfo(
params_.lang.value_or(""), params_.ocr_version.value_or(""));
if (!result_models_check.ok()) {
return absl::InvalidArgumentError("lang and ocr_version is invaild : " +
return absl::InvalidArgumentError("lang and ocr_version is invalid : " +
result_models_check.status().ToString());
}
auto result_model_name = ModelName();
deploy/cpp_infer/src/utils/ilogger.cc
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@@ -108,7 +108,7 @@ const char *level_string(LogLevel level) {
case LogLevel::Fatal:
return "fatal";
default:
return "unknow";
return "unknown";
}
}
deploy/cpp_infer/src/utils/utility.cc
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@@ -86,7 +86,7 @@ Utility::GetDefaultConfig(std::string pipeline_name) {
for (int i = 0; i < 2; i++) {
size_t pos = current_path.find_last_of(PATH_SEPARATOR);
if (pos == std::string::npos) {
return absl::NotFoundError("Could not find pipline config yaml :" +
return absl::NotFoundError("Could not find pipeline config yaml :" +
pipeline_name);
}
current_path = current_path.substr(0, pos);
@@ -100,7 +100,7 @@ Utility::GetDefaultConfig(std::string pipeline_name) {
} else if (FileExists(config_path_yml).ok()) {
return config_path_yml;
}
return absl::NotFoundError("Could not find pipline config yaml :" +
return absl::NotFoundError("Could not find pipeline config yaml :" +
pipeline_name);
}
absl::StatusOr<std::string>
deploy/slim/quantization/quant_kl.py
+2 -2
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@@ -90,7 +90,7 @@ quant_config = {
def sample_generator(loader):
def __reader__():
for indx, data in enumerate(loader):
for _, data in enumerate(loader):
images = np.array(data[0])
yield images
@@ -99,7 +99,7 @@ def sample_generator(loader):
def sample_generator_layoutxlm_ser(loader):
def __reader__():
for indx, data in enumerate(loader):
for _, data in enumerate(loader):
input_ids = np.array(data[0])
bbox = np.array(data[1])
attention_mask = np.array(data[2])
docs/index.en.md
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@@ -31,7 +31,7 @@ In addition to providing an outstanding model library, PaddleOCR 3.0 also offers
</p>
</div>
You can [Quick Start](./quick_start.en.md) directly, find comprehensive documentation in the [PaddleOCR Docs](https://paddlepaddle.github.io/PaddleOCR/main/index.html), get support via [Github Issus](https://github.com/PaddlePaddle/PaddleOCR/issues), and explore our OCR courses on [OCR courses on AIStudio](https://aistudio.baidu.com/course/introduce/25207).
You can [Quick Start](./quick_start.en.md) directly, find comprehensive documentation in the [PaddleOCR Docs](https://paddlepaddle.github.io/PaddleOCR/main/index.html), get support via [Github Issues](https://github.com/PaddlePaddle/PaddleOCR/issues), and explore our OCR courses on [OCR courses on AIStudio](https://aistudio.baidu.com/course/introduce/25207).
**Special Note**: PaddleOCR 3.x introduces several significant interface changes. **Old code written based on PaddleOCR 2.x is likely incompatible with PaddleOCR 3.x**. Please ensure that the documentation you are reading matches the version of PaddleOCR you are using. [This document](./update/upgrade_notes.en.md) explains the reasons for the upgrade and the major changes from PaddleOCR 2.x to 3.x.
docs/version3.x/deployment/cpp/OCR.en.md
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@@ -153,7 +153,7 @@ You can directly download the inference models provided by PaddleOCR:
</details>
<details>
<summary><b>Text Image Unwraping Module (Optional):</b></summary>
<summary><b>Text Image Unwrapping Module (Optional):</b></summary>
<table>
<thead>
<tr>
docs/version3.x/module_usage/table_structure_recognition.en.md
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@@ -6,7 +6,7 @@ comments: true
## 1. Overview
Table structure recognition is an important component of table recognition systems, capable of converting non-editable table images into editable table formats (such as HTML). The goal of table structure recognition is to identify the positions of rows, columns, and cells in tables. The performance of this module directly affects the accuracy and efficiency of the entire table recognition system. The table structure recognition module usually outputs HTML code for the table area, which is then passed as input to the tabl recognition pipeline for further processing.
Table structure recognition is an important component of table recognition systems, capable of converting non-editable table images into editable table formats (such as HTML). The goal of table structure recognition is to identify the positions of rows, columns, and cells in tables. The performance of this module directly affects the accuracy and efficiency of the entire table recognition system. The table structure recognition module usually outputs HTML code for the table area, which is then passed as input to the table recognition pipeline for further processing.
## 2. Supported Model List
ppocr/data/simple_dataset.py
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@@ -166,10 +166,10 @@ class MultiScaleDataSet(SimpleDataSet):
def wh_aware(self):
data_line_new = []
wh_ratio = []
for lins in self.data_lines:
data_line_new.append(lins)
lins = lins.decode("utf-8")
name, label, w, h = lins.strip("\n").split(self.delimiter)
for line in self.data_lines:
data_line_new.append(line)
line = line.decode("utf-8")
name, label, w, h = line.strip("\n").split(self.delimiter)
wh_ratio.append(float(w) / float(h))
self.data_lines = data_line_new