🔎 Search before asking
🐛 Bug (问题描述)
I have already set text_recognition_model_dir to a local directory explicitly and yet it still raise hosting errors and trying to connect network.
ocr = PaddleOCR(
text_recognition_model_dir="PP-/mnt/posfs/globalmount/PP-OCRv5_server_rec",
use_doc_orientation_classify=False, # Use use_doc_orientation_classify to enable/disable document orientation classification model
use_doc_unwarping=False, # Use use_doc_unwarping to enable/disable document unwarping module
use_textline_orientation=False, # Use use_textline_orientation to enable/disable textline orientation classification model
device="cpu", # Use device to specify GPU for model inference
)
Creating model: ('PP-OCRv5_server_det', None)
Using official model (PP-OCRv5_server_det), the model files will be automatically downloaded and saved in /root/.paddlex/official_models.
No available model hosting platforms detected. Please check your network connection.
Traceback (most recent call last):
File "", line 1, in
File "/usr/local/lib/python3.10/site-packages/paddleocr/_pipelines/ocr.py", line 163, in init
super().init(**base_params)
File "/usr/local/lib/python3.10/site-packages/paddleocr/_pipelines/base.py", line 67, in init
self.paddlex_pipeline = self._create_paddlex_pipeline()
File "/usr/local/lib/python3.10/site-packages/paddleocr/_pipelines/base.py", line 102, in _create_paddlex_pipeline
return create_pipeline(config=self._merged_paddlex_config, **kwargs)
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/pipelines/init.py", line 166, in create_pipeline
pipeline = BasePipeline.get(pipeline_name)(
File "/usr/local/lib/python3.10/site-packages/paddlex/utils/deps.py", line 202, in _wrapper
return old_init_func(self, *args, **kwargs)
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/pipelines/_parallel.py", line 103, in init
self._pipeline = self._create_internal_pipeline(config, self.device)
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/pipelines/_parallel.py", line 158, in _create_internal_pipeline
return self._pipeline_cls(
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/pipelines/ocr/pipeline.py", line 117, in init
self.text_det_model = self.create_model(
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/pipelines/base.py", line 105, in create_model
model = create_predictor(
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/models/init.py", line 69, in create_predictor
model_dir = official_models[model_name]
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/utils/official_models.py", line 577, in getitem
return self._get_model_local_path(model_name)
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/utils/official_models.py", line 552, in _get_model_local_path
raise Exception(msg)
Exception: No available model hosting platforms detected. Please check your network connection.
🏃♂️ Environment (运行环境)
paddleocr==3.2.0
paddlepaddle==3.2.0
paddlex==3.2.0
🌰 Minimal Reproducible Example (最小可复现问题的Demo)
ocr = PaddleOCR(
text_recognition_model_dir="your local path containing model and config",
use_doc_orientation_classify=False, # Use use_doc_orientation_classify to enable/disable document orientation classification model
use_doc_unwarping=False, # Use use_doc_unwarping to enable/disable document unwarping module
use_textline_orientation=False, # Use use_textline_orientation to enable/disable textline orientation classification model
device="cpu", # Use device to specify GPU for model inference
)
🔎 Search before asking
🐛 Bug (问题描述)
I have already set
text_recognition_model_dirto a local directory explicitly and yet it still raise hosting errors and trying to connect network.🏃♂️ Environment (运行环境)
paddleocr==3.2.0
paddlepaddle==3.2.0
paddlex==3.2.0
🌰 Minimal Reproducible Example (最小可复现问题的Demo)
ocr = PaddleOCR(
text_recognition_model_dir="your local path containing model and config",
use_doc_orientation_classify=False, # Use use_doc_orientation_classify to enable/disable document orientation classification model
use_doc_unwarping=False, # Use use_doc_unwarping to enable/disable document unwarping module
use_textline_orientation=False, # Use use_textline_orientation to enable/disable textline orientation classification model
device="cpu", # Use device to specify GPU for model inference
)