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@@ -532,12 +532,12 @@ bool Model::predict(const std::vector<cv::Mat>& im_batch,
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for (int i = 0; i < lod_vector[0].size() - 1; ++i) {
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(*results)[i].mask_resolution = output_mask_shape[2];
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for (int j = 0; j < (*results)[i].boxes.size(); ++j) {
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- Box* box = &result->boxes[i];
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+ Box* box = &(*results)[i]->boxes[i];
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int category_id = box->category_id;
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box->mask.shape = {static_cast<int>(box->coordinate[2]),
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static_cast<int>(box->coordinate[3])};
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auto begin_mask =
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- output_mask.begin() + (i * classes + box->category_id) * mask_pixels;
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+ output_mask.data() + (i * classes + box->category_id) * mask_pixels;
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cv::Mat bin_mask(result->mask_resolution,
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result->mask_resolution,
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CV_32FC1,
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@@ -546,7 +546,7 @@ bool Model::predict(const std::vector<cv::Mat>& im_batch,
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bin_mask,
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cv::Size(box->mask.shape[0], box->mask.shape[1]));
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cv::threshold(bin_mask, bin_mask, 0.5, 1, cv::THRESH_BINARY);
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- auto mask_int_begin = bin_mask.data;
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+ auto mask_int_begin = reinterpret_cast<int*>(bin_mask.data);
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auto mask_int_end =
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mask_int_begin + box->mask.shape[0] * box->mask.shape[1];
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box->mask.data.assign(mask_int_begin, mask_int_end);
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