// Copyright (c) 2022 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 #include #include #ifndef CUDA_CHECK #define CUDA_CHECK(callstr)\ {\ cudaError_t error_code = callstr;\ if (error_code != cudaSuccess) {\ std::cerr << "CUDA error " << error_code << " at " << __FILE__ << ":";\ std::cerr << __LINE__;\ assert(0);\ }\ } #endif // CUDA_CHECK namespace fastdeploy { namespace vision { namespace utils { void CudaYoloPreprocess(uint8_t* src, int src_width, int src_height, float* dst, int dst_width, int dst_height, const std::vector padding_value, cudaStream_t stream); } // namespace utils } // namespace vision } // namespace fastdeploy