Fix typos in multiple files (#3994)

Signed-off-by: co63oc <co63oc@users.noreply.github.com>

libs/ultra-infer/python/ultra_infer/pipeline/pptinypose/__init__.py

@@ -40,7 +40,7 @@ class PPTinyPose(object):
 
     @property
     def detection_model_score_threshold(self):
-        """Attribute of PPTinyPose pipeline model. Stating the score threshold for detectin model to filter bbox before inputting pptinypose model
+        """Attribute of PPTinyPose pipeline model. Stating the score threshold for detecting model to filter bbox before inputting pptinypose model
 
         :return: value of detection_model_score_threshold(float)
         """

libs/ultra-infer/ultra_infer/pipeline/pptinypose/pipeline.h

@@ -48,7 +48,7 @@ public:
   virtual bool Predict(cv::Mat *img,
                        ultra_infer::vision::KeyPointDetectionResult *result);
 
-  /* \brief The score threshold for detectin model to filter bbox before
+  /* \brief The score threshold for detecting model to filter bbox before
    * inputting pptinypose model
    */
   float detection_model_score_threshold = 0;

libs/ultra-infer/ultra_infer/vision/classification/contrib/resnet.h

@@ -17,7 +17,7 @@
 #include "ultra_infer/vision/common/processors/transform.h"
 #include "ultra_infer/vision/common/result.h"
 
-// The namespace shoulde be
+// The namespace should be
 // ultra_infer::vision::classification (ultra_infer::vision::${task})
 namespace ultra_infer {
 namespace vision {

libs/ultra-infer/ultra_infer/vision/classification/ppcls/preprocessor.cc

@@ -137,7 +137,7 @@ bool PaddleClasPreprocessor::Apply(FDMatBatch *image_batch,
       image_batch->proc_lib = ProcLib::OPENCV;
     }
     if (!(*(processors_[j].get()))(image_batch)) {
-      FDERROR << "Failed to processs image in " << processors_[j]->Name() << "."
+      FDERROR << "Failed to process image in " << processors_[j]->Name() << "."
               << std::endl;
       return false;
     }

libs/ultra-infer/ultra_infer/vision/classification/ppshitu/ppshituv2_rec_preprocessor.cc

@@ -141,7 +141,7 @@ bool PPShiTuV2RecognizerPreprocessor::Apply(FDMatBatch *image_batch,
       image_batch->proc_lib = ProcLib::OPENCV;
     }
     if (!(*(processors_[j].get()))(image_batch)) {
-      FDERROR << "Failed to processs image in " << processors_[j]->Name() << "."
+      FDERROR << "Failed to process image in " << processors_[j]->Name() << "."
               << std::endl;
       return false;
     }

libs/ultra-infer/ultra_infer/vision/detection/ppdet/preprocessor.cc

@@ -167,7 +167,7 @@ bool PaddleDetPreprocessor::Apply(FDMatBatch *image_batch,
     scale_factor_ptr[2 * i + 1] = 1.0;
     for (size_t j = 0; j < processors_.size(); ++j) {
       if (!(*(processors_[j].get()))(mat)) {
-        FDERROR << "Failed to processs image:" << i << " in "
+        FDERROR << "Failed to process image:" << i << " in "
                 << processors_[j]->Name() << "." << std::endl;
         return false;
       }

libs/ultra-infer/ultra_infer/vision/facedet/ppdet/blazeface/preprocessor.cc

@@ -66,7 +66,7 @@ bool BlazeFacePreprocessor::Run(
 
     for (size_t j = 0; j < processors_.size(); ++j) {
       if (!(*(processors_[j].get()))(&((*images)[i]))) {
-        FDERROR << "Failed to processs image:" << i << " in "
+        FDERROR << "Failed to process image:" << i << " in "
                 << processors_[i]->Name() << "." << std::endl;
         return false;
       }

libs/ultra-infer/ultra_infer/vision/generation/contrib/preprocessor.cc

@@ -25,14 +25,14 @@ bool AnimeGANPreprocessor::Run(std::vector<Mat> &images,
   for (size_t i = 0; i < images.size(); ++i) {
     auto ret = BGR2RGB::Run(&images[i]);
     if (!ret) {
-      FDERROR << "Failed to processs image:" << i << " in "
+      FDERROR << "Failed to process image:" << i << " in "
               << "BGR2RGB"
               << "." << std::endl;
       return false;
     }
     ret = Cast::Run(&images[i], "float");
     if (!ret) {
-      FDERROR << "Failed to processs image:" << i << " in "
+      FDERROR << "Failed to process image:" << i << " in "
               << "Cast"
               << "." << std::endl;
       return false;
@@ -41,7 +41,7 @@ bool AnimeGANPreprocessor::Run(std::vector<Mat> &images,
     std::vector<float> std{-1.f, -1.f, -1.f};
     ret = Convert::Run(&images[i], mean, std);
     if (!ret) {
-      FDERROR << "Failed to processs image:" << i << " in "
+      FDERROR << "Failed to process image:" << i << " in "
               << "Cast"
               << "." << std::endl;
       return false;

libs/ultra-infer/ultra_infer/vision/perception/paddle3d/caddn/preprocessor.cc

@@ -77,7 +77,7 @@ bool CaddnPreprocessor::Apply(FDMatBatch *image_batch,
     FDMat *mat = &(image_batch->mats->at(i));
     for (size_t j = 0; j < processors_.size(); ++j) {
       if (!(*(processors_[j].get()))(mat)) {
-        FDERROR << "Failed to processs image:" << i << " in "
+        FDERROR << "Failed to process image:" << i << " in "
                 << processors_[j]->Name() << "." << std::endl;
         return false;
       }

libs/ultra-infer/ultra_infer/vision/perception/paddle3d/petr/preprocessor.cc

@@ -83,7 +83,7 @@ bool PetrPreprocessor::Apply(FDMatBatch *image_batch,
     FDMat *mat = &(image_batch->mats->at(i));
     for (size_t j = 0; j < processors_.size(); ++j) {
       if (!(*(processors_[j].get()))(mat)) {
-        FDERROR << "Failed to processs image:" << i << " in "
+        FDERROR << "Failed to process image:" << i << " in "
                 << processors_[j]->Name() << "." << std::endl;
         return false;
       }

libs/ultra-infer/ultra_infer/vision/perception/paddle3d/smoke/preprocessor.cc

@@ -139,7 +139,7 @@ bool SmokePreprocessor::Apply(FDMatBatch *image_batch,
     FDMat *mat = &(image_batch->mats->at(i));
     for (size_t j = 0; j < processors_.size(); ++j) {
       if (!(*(processors_[j].get()))(mat)) {
-        FDERROR << "Failed to processs image:" << i << " in "
+        FDERROR << "Failed to process image:" << i << " in "
                 << processors_[j]->Name() << "." << std::endl;
         return false;
       }

libs/ultra-infer/ultra_infer/vision/tracking/pptracking/lapjv.cc

@@ -14,7 +14,7 @@
 
 // The code is based on:
 // https://github.com/gatagat/lap/blob/master/lap/lapjv.cpp
-// Ths copyright of gatagat/lap is as follows:
+// The copyright of gatagat/lap is as follows:
 // MIT License
 
 #include <stdio.h>

libs/ultra-infer/ultra_infer/vision/tracking/pptracking/lapjv.h

@@ -14,7 +14,7 @@
 
 // The code is based on:
 // https://github.com/gatagat/lap/blob/master/lap/lapjv.h
-// Ths copyright of gatagat/lap is as follows:
+// The copyright of gatagat/lap is as follows:
 // MIT License
 
 #pragma once

libs/ultra-infer/ultra_infer/vision/tracking/pptracking/tracker.cc

@@ -14,7 +14,7 @@
 
 // The code is based on:
 // https://github.com/CnybTseng/JDE/blob/master/platforms/common/jdetracker.cpp
-// Ths copyright of CnybTseng/JDE is as follows:
+// The copyright of CnybTseng/JDE is as follows:
 // MIT License
 
 #include <algorithm>

libs/ultra-infer/ultra_infer/vision/tracking/pptracking/tracker.h

@@ -14,7 +14,7 @@
 
 // The code is based on:
 // https://github.com/CnybTseng/JDE/blob/master/platforms/common/jdetracker.h
-// Ths copyright of CnybTseng/JDE is as follows:
+// The copyright of CnybTseng/JDE is as follows:
 // MIT License
 
 #pragma once

libs/ultra-infer/ultra_infer/vision/tracking/pptracking/trajectory.cc

@@ -14,7 +14,7 @@
 
 // The code is based on:
 // https://github.com/CnybTseng/JDE/blob/master/platforms/common/trajectory.cpp
-// Ths copyright of CnybTseng/JDE is as follows:
+// The copyright of CnybTseng/JDE is as follows:
 // MIT License
 
 #include "ultra_infer/vision/tracking/pptracking/trajectory.h"

libs/ultra-infer/ultra_infer/vision/tracking/pptracking/trajectory.h

@@ -14,7 +14,7 @@
 
 // The code is based on:
 // https://github.com/CnybTseng/JDE/blob/master/platforms/common/trajectory.h
-// Ths copyright of CnybTseng/JDE is as follows:
+// The copyright of CnybTseng/JDE is as follows:
 // MIT License
 
 #pragma once

paddlex/__init__.py

@@ -24,7 +24,7 @@ for mod in _SPECIAL_MODS:
 from . import version
 from .inference import create_pipeline, create_predictor
 from .model import create_model
-from .modules import build_dataset_checker, build_evaluater, build_trainer
+from .modules import build_dataset_checker, build_evaluator, build_trainer
 
 
 def _initialize():

paddlex/inference/models/common/tokenizer/tokenizer_utils.py

@@ -688,7 +688,7 @@ class ChatTemplateMixin:
             conversation = [[conversation]]
         elif isinstance(conversation, list) and isinstance(conversation[0], str):
             raise ValueError(
-                "apply_chat_template do not support appling batch conversations, "
+                "apply_chat_template do not support applying batch conversations, "
                 "so you should apply the conversation one by one."
             )
 
@@ -710,7 +710,7 @@ class ChatTemplateMixin:
                 conversations = conversation
             else:
                 raise ValueError(
-                    "apply_chat_template do not support appling batch conversations, "
+                    "apply_chat_template do not support applying batch conversations, "
                     "so you should apply the conversation one by one."
                 )
         query = self.chat_template.render(

paddlex/inference/models/common/tokenizer/tokenizer_utils_base.py

@@ -3531,7 +3531,7 @@ class PretrainedTokenizerBase(SpecialTokensMixin):
         prefix_offset: int = 0,
         read_offset: int = 0,
     ) -> Tuple[str, int, int]:
-        """tokenizer decoding for the streaming generation use case. This method can be overrided for tokenizer that doesn't follow this API"""
+        """tokenizer decoding for the streaming generation use case. This method can be overridden for tokenizer that doesn't follow this API"""
         prefix_text = self.decode(
             all_input_ids[prefix_offset:read_offset],
             skip_special_tokens=False,

paddlex/inference/models/common/tokenizer/vocab.py

@@ -27,7 +27,7 @@ class Vocab(object):
     store/load functions.
 
     Args:
-        counter (collections.Counter, optional): A Counter intance describes
+        counter (collections.Counter, optional): A Counter instance describes
             the tokens and their frequencies. Its keys will be indexed according
             to the order of frequency sorting to construct mapping relationship.
             If None, `token_to_idx` must be provided as the mapping relationship.
@@ -480,7 +480,7 @@ class Vocab(object):
         **kwargs
     ):
         """
-        Builds the :class:`Vocab` accoring to given iterator and other
+        Builds the :class:`Vocab` according to given iterator and other
         information. Firstly, iterate over the `iterator` to construct a
         :class:`collections.Counter` and used to init the as  :class:`Vocab`.
 

paddlex/inference/models/common/vlm/transformers/configuration_utils.py

@@ -496,7 +496,7 @@ class PretrainedConfig:
             if num_labels is not None and len(self.id2label) != num_labels:
                 logging.warning(
                     f"You passed along `num_labels={num_labels}` with an incompatible id to label map: "
-                    f"{self.id2label}. The number of labels wil be overwritten to {self.num_labels}."
+                    f"{self.id2label}. The number of labels will be overwritten to {self.num_labels}."
                 )
             self.id2label = dict(
                 (int(key), value) for key, value in self.id2label.items()
@@ -939,7 +939,7 @@ class PretrainedConfig:
 
             output[key] = value
 
-        # Fix for rewrited from_pretrained method, hasattr
+        # Fix for rewrote from_pretrained method, hasattr
         if saving_file and hasattr(self, "_unsavable_keys"):
             for key in list(output.keys()):
                 if key in self._unsavable_keys:

paddlex/inference/pipelines/table_recognition/pipeline_v2.py

@@ -969,8 +969,8 @@ class _TableRecognitionPipelineV2(BasePipeline):
             table_box (list): The table box coordinates.
             use_e2e_wired_table_rec_model (bool): Whether to use end-to-end wired table recognition model.
             use_e2e_wireless_table_rec_model (bool): Whether to use end-to-end wireless table recognition model.
-            use_wired_table_cells_trans_to_html (bool): Whether to use wired tabel cells trans to HTML.
-            use_wireless_table_cells_trans_to_html (bool): Whether to use wireless tabel cells trans to HTML.
+            use_wired_table_cells_trans_to_html (bool): Whether to use wired table cells trans to HTML.
+            use_wireless_table_cells_trans_to_html (bool): Whether to use wireless table cells trans to HTML.
             use_ocr_results_with_table_cells (bool): Whether to use OCR results processed by table cells.
             flag_find_nei_text (bool): Whether to find neighboring text.
         Returns:
@@ -1134,8 +1134,8 @@ class _TableRecognitionPipelineV2(BasePipeline):
                 It will be used if it is not None and use_layout_detection is False.
             use_e2e_wired_table_rec_model (bool): Whether to use end-to-end wired table recognition model.
             use_e2e_wireless_table_rec_model (bool): Whether to use end-to-end wireless table recognition model.
-            use_wired_table_cells_trans_to_html (bool): Whether to use wired tabel cells trans to HTML.
-            use_wireless_table_cells_trans_to_html (bool): Whether to use wireless tabel cells trans to HTML.
+            use_wired_table_cells_trans_to_html (bool): Whether to use wired table cells trans to HTML.
+            use_wireless_table_cells_trans_to_html (bool): Whether to use wireless table cells trans to HTML.
             use_table_orientation_classify (bool): Whether to use table orientation classification.
             use_ocr_results_with_table_cells (bool): Whether to use OCR results processed by table cells.
             **kwargs: Additional keyword arguments.

paddlex/inference/utils/io/readers.py

@@ -361,7 +361,7 @@ class DecordVideoReaderBackend(_VideoReaderBackend):
         self.valid_mode = True
         self._fps = 0
 
-        # XXX(gaotingquan): There is a confict with `paddle` when import `decord` globally.
+        # XXX(gaotingquan): There is a conflict with `paddle` when import `decord` globally.
         try:
             import decord
 

paddlex/model.py

@@ -17,7 +17,7 @@ from copy import deepcopy
 from .inference import PaddlePredictorOption, create_predictor
 from .modules import (
     build_dataset_checker,
-    build_evaluater,
+    build_evaluator,
     build_exportor,
     build_trainer,
 )
@@ -119,7 +119,7 @@ class _ModelBasedConfig(_BaseModel):
         trainer.train()
 
     def evaluate(self):
-        evaluator = build_evaluater(self._config)
+        evaluator = build_evaluator(self._config)
         return evaluator.evaluate()
 
     def export(self):

paddlex/modules/__init__.py

@@ -14,7 +14,7 @@
 from importlib import import_module
 
 from .anomaly_detection import UadDatasetChecker, UadEvaluator, UadExportor, UadTrainer
-from .base import build_dataset_checker, build_evaluater, build_exportor, build_trainer
+from .base import build_dataset_checker, build_evaluator, build_exportor, build_trainer
 from .face_recognition import (
     FaceRecDatasetChecker,
     FaceRecEvaluator,

paddlex/modules/base/__init__.py

@@ -13,6 +13,6 @@
 # limitations under the License.
 
 from .dataset_checker import BaseDatasetChecker, build_dataset_checker
-from .evaluator import BaseEvaluator, build_evaluater
+from .evaluator import BaseEvaluator, build_evaluator
 from .exportor import BaseExportor, build_exportor
 from .trainer import BaseTrainer, build_trainer

paddlex/modules/base/evaluator.py

@@ -27,14 +27,14 @@ from ...utils.misc import AutoRegisterABCMetaClass
 from .build_model import build_model
 
 
-def build_evaluater(config: AttrDict) -> "BaseEvaluator":
-    """build model evaluater
+def build_evaluator(config: AttrDict) -> "BaseEvaluator":
+    """build model evaluator
 
     Args:
         config (AttrDict): PaddleX pipeline config, which is loaded from pipeline yaml file.
 
     Returns:
-        BaseEvaluator: the evaluater, which is subclass of BaseEvaluator.
+        BaseEvaluator: the evaluator, which is subclass of BaseEvaluator.
     """
     model_name = config.Global.model
     try:

paddlex/ops/__init__.py

@@ -114,7 +114,7 @@ class PaddleXCustomOperatorModule(ModuleType):
             with filelock.FileLock(lockfile):
                 return paddle_jit_load(name=self.modulename, sources=sources, **args)
         except:
-            logging.error("{} builded fail!".format(self.modulename))
+            logging.error("{} built fail!".format(self.modulename))
             raise
 
     def _load_module(self):
@@ -126,7 +126,7 @@ class PaddleXCustomOperatorModule(ModuleType):
                     "No custom op {} found, try JIT build".format(self.modulename)
                 )
                 self.module = self.jit_build()
-                logging.info("{} builded success!".format(self.modulename))
+                logging.info("{} built success!".format(self.modulename))
 
             # refresh
             sys.modules[self.fullname] = self.module

paddlex/repo_apis/PaddleVideo_api/configs/PP-TSM-R50_8frames_uniform.yaml

@@ -151,6 +151,6 @@ Infer:
         class_id_map_file: data/k400/Kinetics-400_label_list.txt     
 
 model_name: "ppTSM"
-log_interval: 10 #Optional, the interal of logger, default:10
+log_interval: 10 #Optional, the interval of logger, default:10
 epochs: 80 #Mandatory, total epoch
 log_level: "INFO" #Optional, the logger level. default: "INFO"

paddlex/repo_apis/PaddleVideo_api/configs/PP-TSMv2-LCNetV2_16frames_uniform.yaml

@@ -146,6 +146,6 @@ Infer:
         class_id_map_file: data/k400/Kinetics-400_label_list.txt      
 
 model_name: "ppTSMv2"
-log_interval: 10 #Optional, the interal of logger, default:10
+log_interval: 10 #Optional, the interval of logger, default:10
 epochs: 120  #Mandatory, total epoch
 log_level: "INFO" #Optional, the logger level. default: "INFO"

paddlex/repo_apis/PaddleVideo_api/configs/PP-TSMv2-LCNetV2_8frames_uniform.yaml

@@ -143,6 +143,6 @@ Infer:
         class_id_map_file: data/k400/Kinetics-400_label_list.txt     
 
 model_name: "ppTSMv2"
-log_interval: 10 #Optional, the interal of logger, default:10
+log_interval: 10 #Optional, the interval of logger, default:10
 epochs: 120  #Mandatory, total epoch
 log_level: "INFO" #Optional, the logger level. default: "INFO"

paddlex/repo_apis/PaddleVideo_api/configs/YOWO.yaml

@@ -136,7 +136,7 @@ label_list:
     - WalkingWithDog
 
 model_name: "YOWO"
-log_interval: 20 #Optional, the interal of logger, default:10
+log_interval: 20 #Optional, the interval of logger, default:10
 save_interval: 1
 epochs: 5 #Mandatory, total epoch
 log_level: "INFO" #Optional, the logger level. default: "INFO"