./opencv_model_diagnostics -m=sam_vit_b.fixed.nopost.sim.onnx 
[ERROR:0@0.044] global debug_utils.cpp:74 printMissing DNN: Not supported types:
Type='ai.onnx.Not', affected nodes:
['/Not_output_0']

TEST_P(Test_ONNX_layers, FAIR_SAM)
{
    std::string model_path = "/absolute_path/to/sam_vit_b.fixed.nopost.sim.onnx";
    Net net = readNet(model_path);
    std::vector<int> shape_image_embeddings{1, 256, 64, 64};
    Mat image_embeddings(shape_image_embeddings, CV_32FC1);
    randn(image_embeddings, 0.f, 1.f);
    net.setInput(image_embeddings, std::string("image_embeddings"));
    std::vector<int> shape_point_coords{1, 5, 2};
    Mat point_coords(shape_point_coords, CV_32FC1);
    randn(point_coords, 0.f, 1.f);
    net.setInput(point_coords, std::string("point_coords"));
    std::vector<int> shape_point_labels{1, 5};
    Mat point_labels(shape_point_labels, CV_32FC1);
    randn(point_labels, 0.f, 1.f);
    net.setInput(point_labels, std::string("point_labels"));
    
    std::vector<int> shape_mask_input{1, 1, 256, 256};
    Mat mask_input(shape_mask_input, CV_32FC1);
    randn(mask_input, 0.f, 1.f);
    net.setInput(mask_input, std::string("mask_input"));
    std::vector<int> shape_has_mask_input{1};
    Mat has_mask_input(shape_has_mask_input, CV_32FC1);
    has_mask_input.at<float>(0) = 1;
    net.setInput(has_mask_input, std::string("has_mask_input"));
    Mat outs = net.forward();
    std::cout << outs.size << std::endl;
}