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| // Copyright (c) OpenMMLab. All rights reserved | |
| // It is modified from https://github.com/WenmuZhou/PAN.pytorch | |
| std::vector<std::vector<float>> pixel_group_impl( | |
| Tensor score, Tensor mask, Tensor embedding, Tensor kernel_label, | |
| Tensor kernel_contour, int kernel_region_num, float dis_threshold) { | |
| return DISPATCH_DEVICE_IMPL(pixel_group_impl, score, mask, embedding, | |
| kernel_label, kernel_contour, kernel_region_num, | |
| dis_threshold); | |
| } | |
| std::vector<std::vector<float>> pixel_group( | |
| Tensor score, Tensor mask, Tensor embedding, Tensor kernel_label, | |
| Tensor kernel_contour, int kernel_region_num, float distance_threshold) { | |
| score = score.contiguous(); | |
| mask = mask.contiguous(); | |
| embedding = embedding.contiguous(); | |
| kernel_label = kernel_label.contiguous(); | |
| kernel_contour = kernel_contour.contiguous(); | |
| return pixel_group_impl(score, mask, embedding, kernel_label, kernel_contour, | |
| kernel_region_num, distance_threshold); | |
| } | |