PaddlePaddle / PaddlePaddle/FastDeploy
使用FastDeploy搭建PP-OCRv3模型服务后怎么配置参数
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Description
系统环境/System Environment:docker
版本号/Version: fastdeploy:1.0.4-cpu-only-21.10
小白一个,目前服务部署起来了,但是我想配置一下文本框识别数量上限这种参数。小白凭个人猜测对着det_postprocess文件夹下的config.pbtxt文件改了两下会报错。求大神指点该怎么写,怎么配置……

尝试在config.pbtxt中直接加入max_candidates: 2
[libprotobuf ERROR /tmp/tritonbuild/tritonserver/build/_deps/repo-third-party-build/grpc-repo/src/grpc/third_party/protobuf/src/google/protobuf/text_format.cc:317] Error parsing text-format inference.ModelConfig: 46:27: Message type "inference.ModelConfig.ParametersEntry" has no field named "max_candidates".
E0430 23:07:12.852829 210 model_repository_manager.cc:1890] Poll failed for model directory 'det_postprocess': failed to read text proto from /opt/tritonserver/FastDeploy/examples/vision/ocr/PP-OCR/serving/fastdeploy_serving/models/det_postprocess/config.pbtxt
尝试加入parameters {max_candidates: 2}
[libprotobuf ERROR /tmp/tritonbuild/tritonserver/build/_deps/repo-third-party-build/grpc-repo/src/grpc/third_party/protobuf/src/google/protobuf/text_format.cc:317] Error parsing text-format inference.ModelConfig: 46:27: Message type "inference.ModelConfig.ParametersEntry" has no field named "max_candidates".
E0430 23:07:12.852829 210 model_repository_manager.cc:1890] Poll failed for model directory 'det_postprocess': failed to read text proto from /opt/tritonserver/FastDeploy/examples/vision/ocr/PP-OCR/serving/fastdeploy_serving/models/det_postprocess/config.pbtxt
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
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Research direction
Start with models/det_postprocess/config.pbtxt in the PP-OCR serving example and review how its Triton model configuration is structured. Reproduce the reported parsing error, then identify the supported configuration path for the requested text-box limit and document the valid setting and an example that lets the service start successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker
- Domain
- devops, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100