PaddleOCR MCP Server

// Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #pragma once #include "src/modules/text_detection/predictor.h" struct TextDetectionParams { absl::optional<std::string> model_name = absl::nullopt; absl::optional<std::string> model_dir = absl::nullopt; absl::optional<std::string> device = absl::nullopt; std::string precision = "fp32"; bool enable_mkldnn = true; int mkldnn_cache_capacity = 10; int cpu_threads = 8; int batch_size = 1; absl::optional<int> limit_side_len = absl::nullopt; absl::optional<std::string> limit_type = absl::nullopt; absl::optional<int> max_side_limit = absl::nullopt; absl::optional<float> thresh = absl::nullopt; absl::optional<float> box_thresh = absl::nullopt; absl::optional<float> unclip_ratio = absl::nullopt; absl::optional<std::vector<int>> input_shape = absl::nullopt; }; class TextDetection { public: TextDetection(const TextDetectionParams &params = TextDetectionParams()); std::vector<std::unique_ptr<BaseCVResult>> Predict(const std::string &input) { std::vector<std::string> inputs = {input}; return Predict(inputs); }; std::vector<std::unique_ptr<BaseCVResult>> Predict(const std::vector<std::string> &input); void CreateModel(); absl::Status CheckParams(); static TextDetPredictorParams ToTextDetectionModelParams(const TextDetectionParams &from); private: TextDetectionParams params_; std::unique_ptr<BasePredictor> model_infer_; };