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| 1 | +#include "dsp.hpp" |
| 2 | +#include "model.hpp" |
| 3 | +#include "tensor.hpp" |
| 4 | +#include <Eigen/Core> |
| 5 | +#include <Eigen/Dense> |
| 6 | +#include <cassert> |
| 7 | +#include <filesystem> |
| 8 | +#include <iostream> |
| 9 | +#include <sstream> |
| 10 | +#include <string> |
| 11 | +#include <thread> |
| 12 | +#include <unsupported/Eigen/FFT> |
| 13 | +#include <vector> |
| 14 | + |
| 15 | +using namespace demucscpp; |
| 16 | + |
| 17 | +int main(int argc, const char **argv) |
| 18 | +{ |
| 19 | + if (argc != 4) |
| 20 | + { |
| 21 | + std::cerr << "Usage: " << argv[0] |
| 22 | + << " <model file> <wav file> <out dir>" << std::endl; |
| 23 | + exit(1); |
| 24 | + } |
| 25 | + |
| 26 | + // enable openmp parallelization for Eigen |
| 27 | + // init parallelism for eigen |
| 28 | + Eigen::initParallel(); |
| 29 | + |
| 30 | + // set eigen nb threads to physical cores minus 1 |
| 31 | + // discover number of physical cores through C++ stdlib |
| 32 | + // https://stackoverflow.com/questions/150355/programmatically-find-the-number-of-cores-on-a-machine |
| 33 | + int nb_cores = std::thread::hardware_concurrency(); |
| 34 | + std::cout << "Number of physical cores: " << nb_cores << std::endl; |
| 35 | + Eigen::setNbThreads(nb_cores - 1); |
| 36 | + |
| 37 | + std::cout << "demucs.cpp Main driver program" << std::endl; |
| 38 | + |
| 39 | + // load model passed as argument |
| 40 | + std::string model_file = argv[1]; |
| 41 | + |
| 42 | + // load audio passed as argument |
| 43 | + std::string wav_file = argv[2]; |
| 44 | + |
| 45 | + // output dir passed as argument |
| 46 | + std::string out_dir = argv[3]; |
| 47 | + |
| 48 | + Eigen::MatrixXf audio = load_audio(wav_file); |
| 49 | + Eigen::Tensor3dXf out_targets; |
| 50 | + |
| 51 | + std::cout << "Using 4s model" << std::endl; |
| 52 | + |
| 53 | + // initialize a struct demucs_model |
| 54 | + struct demucs_model_4s model |
| 55 | + { |
| 56 | + }; |
| 57 | + |
| 58 | + auto ret = load_demucs_model_4s(model_file, &model); |
| 59 | + std::cout << "demucs_model_load returned " << (ret ? "true" : "false") |
| 60 | + << std::endl; |
| 61 | + if (!ret) |
| 62 | + { |
| 63 | + std::cerr << "Error loading model" << std::endl; |
| 64 | + exit(1); |
| 65 | + } |
| 66 | + |
| 67 | + std::cout << "Starting demucs inference" << std::endl; |
| 68 | + |
| 69 | + // create 4 audio matrix same size, to hold output |
| 70 | + Eigen::Tensor3dXf audio_targets = |
| 71 | + demucscpp::demucs_inference_4s(model, audio); |
| 72 | + std::cout << "returned!" << std::endl; |
| 73 | + |
| 74 | + out_targets = audio_targets; |
| 75 | + |
| 76 | + for (int target = 0; target < 4; ++target) |
| 77 | + { |
| 78 | + // now write the 4 audio waveforms to files in the output dir |
| 79 | + // using libnyquist |
| 80 | + // join out_dir with "/target_0.wav" |
| 81 | + // using std::filesystem::path; |
| 82 | + |
| 83 | + std::filesystem::path p = out_dir; |
| 84 | + // make sure the directory exists |
| 85 | + std::filesystem::create_directories(p); |
| 86 | + |
| 87 | + auto p_target = p / "target_0.wav"; |
| 88 | + // generate p_target = p / "target_{target}.wav" |
| 89 | + p_target.replace_filename("target_" + std::to_string(target) + ".wav"); |
| 90 | + |
| 91 | + std::cout << "Writing wav file " << p_target << std::endl; |
| 92 | + |
| 93 | + Eigen::MatrixXf target_waveform(2, audio.cols()); |
| 94 | + |
| 95 | + // copy the input stereo wav file into all 4 targets |
| 96 | + for (int channel = 0; channel < 2; ++channel) |
| 97 | + { |
| 98 | + for (int sample = 0; sample < audio.cols(); ++sample) |
| 99 | + { |
| 100 | + target_waveform(channel, sample) = |
| 101 | + out_targets(target, channel, sample); |
| 102 | + } |
| 103 | + } |
| 104 | + |
| 105 | + demucscppdebug::debug_matrix_xf(target_waveform, |
| 106 | + "target_waveform for target " + |
| 107 | + std::to_string(target)); |
| 108 | + |
| 109 | + demucscpp::write_audio_file(target_waveform, p_target); |
| 110 | + } |
| 111 | +} |
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