#include "pyinterface.h" #include "inpaint.h" static unsigned int PM_seed = 1212; static bool PM_verbose = false; int _dtype_py_to_cv(int dtype_py); int _dtype_cv_to_py(int dtype_cv); cv::Mat _py_to_cv2(PM_mat_t pymat); PM_mat_t _cv2_to_py(cv::Mat cvmat); void PM_set_random_seed(unsigned int seed) { PM_seed = seed; } void PM_set_verbose(int value) { PM_verbose = static_cast(value); } void PM_free_pymat(PM_mat_t pymat) { free(pymat.data_ptr); } PM_mat_t PM_inpaint(PM_mat_t source_py, PM_mat_t mask_py, int patch_size) { cv::Mat source = _py_to_cv2(source_py); cv::Mat mask = _py_to_cv2(mask_py); auto metric = PatchSSDDistanceMetric(patch_size); cv::Mat result = Inpainting(source, mask, &metric).run(PM_verbose, false, PM_seed); return _cv2_to_py(result); } PM_mat_t PM_inpaint_regularity(PM_mat_t source_py, PM_mat_t mask_py, PM_mat_t ijmap_py, int patch_size, float guide_weight) { cv::Mat source = _py_to_cv2(source_py); cv::Mat mask = _py_to_cv2(mask_py); cv::Mat ijmap = _py_to_cv2(ijmap_py); auto metric = RegularityGuidedPatchDistanceMetricV2(patch_size, ijmap, guide_weight); cv::Mat result = Inpainting(source, mask, &metric).run(PM_verbose, false, PM_seed); return _cv2_to_py(result); } PM_mat_t PM_inpaint2(PM_mat_t source_py, PM_mat_t mask_py, PM_mat_t global_mask_py, int patch_size) { cv::Mat source = _py_to_cv2(source_py); cv::Mat mask = _py_to_cv2(mask_py); cv::Mat global_mask = _py_to_cv2(global_mask_py); auto metric = PatchSSDDistanceMetric(patch_size); cv::Mat result = Inpainting(source, mask, global_mask, &metric).run(PM_verbose, false, PM_seed); return _cv2_to_py(result); } PM_mat_t PM_inpaint2_regularity(PM_mat_t source_py, PM_mat_t mask_py, PM_mat_t global_mask_py, PM_mat_t ijmap_py, int patch_size, float guide_weight) { cv::Mat source = _py_to_cv2(source_py); cv::Mat mask = _py_to_cv2(mask_py); cv::Mat global_mask = _py_to_cv2(global_mask_py); cv::Mat ijmap = _py_to_cv2(ijmap_py); auto metric = RegularityGuidedPatchDistanceMetricV2(patch_size, ijmap, guide_weight); cv::Mat result = Inpainting(source, mask, global_mask, &metric).run(PM_verbose, false, PM_seed); return _cv2_to_py(result); } int _dtype_py_to_cv(int dtype_py) { switch (dtype_py) { case PM_UINT8: return CV_8U; case PM_INT8: return CV_8S; case PM_UINT16: return CV_16U; case PM_INT16: return CV_16S; case PM_INT32: return CV_32S; case PM_FLOAT32: return CV_32F; case PM_FLOAT64: return CV_64F; } return CV_8U; } int _dtype_cv_to_py(int dtype_cv) { switch (dtype_cv) { case CV_8U: return PM_UINT8; case CV_8S: return PM_INT8; case CV_16U: return PM_UINT16; case CV_16S: return PM_INT16; case CV_32S: return PM_INT32; case CV_32F: return PM_FLOAT32; case CV_64F: return PM_FLOAT64; } return PM_UINT8; } cv::Mat _py_to_cv2(PM_mat_t pymat) { int dtype = _dtype_py_to_cv(pymat.dtype); dtype = CV_MAKETYPE(pymat.dtype, pymat.shape.channels); return cv::Mat(cv::Size(pymat.shape.width, pymat.shape.height), dtype, pymat.data_ptr).clone(); } PM_mat_t _cv2_to_py(cv::Mat cvmat) { PM_shape_t shape = {cvmat.size().width, cvmat.size().height, cvmat.channels()}; int dtype = _dtype_cv_to_py(cvmat.depth()); size_t dsize = cvmat.total() * cvmat.elemSize(); void *data_ptr = reinterpret_cast(malloc(dsize)); memcpy(data_ptr, reinterpret_cast(cvmat.data), dsize); return PM_mat_t {data_ptr, shape, dtype}; }