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https://github.com/slsdetectorgroup/aare.git
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Separated cluster size for finding and saving. You now specfic the cluster size you want when search through a frame, but you can also now specify a cluster size to save afterwards. For example, you search for 3x3s but save 9x9s
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@@ -26,24 +26,24 @@ def _get_class(name, cluster_size, dtype):
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def ClusterFinder(image_size, cluster_size, n_sigma=5, dtype = np.int32, capacity = 1024, chunk_size=50000, n_chunks = 10):
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def ClusterFinder(image_size, saved_cluster_size, checked_cluster_size, n_sigma=5, dtype = np.int32, capacity = 1024, chunk_size=50000, n_chunks = 10):
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"""
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Factory function to create a ClusterFinder object. Provides a cleaner syntax for
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the templated ClusterFinder in C++.
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"""
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cls = _get_class("ClusterFinder", cluster_size, dtype)
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return cls(image_size, n_sigma=n_sigma, capacity=capacity, chunk_size=chunk_size, n_chunks=n_chunks)
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cls = _get_class("ClusterFinder", saved_cluster_size, dtype)
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return cls(image_size, n_sigma=n_sigma, capacity=capacity, chunk_size=chunk_size, n_chunks=n_chunks, cluster_size_x=checked_cluster_size[0], cluster_size_y=checked_cluster_size[1])
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def ClusterFinderMT(image_size, cluster_size = (3,3), dtype=np.int32, n_sigma=5, capacity = 1024, n_threads = 3, chunk_size=50000, n_chunks = 10):
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def ClusterFinderMT(image_size, saved_cluster_size = (3,3), checked_cluster_size = (3,3), dtype=np.int32, n_sigma=5, capacity = 1024, n_threads = 3, chunk_size=50000, n_chunks = 10):
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"""
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Factory function to create a ClusterFinderMT object. Provides a cleaner syntax for
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the templated ClusterFinderMT in C++.
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"""
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cls = _get_class("ClusterFinderMT", cluster_size, dtype)
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return cls(image_size, n_sigma=n_sigma, capacity=capacity, n_threads=n_threads, chunk_size=chunk_size, n_chunks=n_chunks)
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cls = _get_class("ClusterFinderMT", saved_cluster_size, dtype)
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return cls(image_size, n_sigma=n_sigma, capacity=capacity, n_threads=n_threads, chunk_size=chunk_size, n_chunks=n_chunks, cluster_size_x=checked_cluster_size[0], cluster_size_y=checked_cluster_size[1])
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@@ -30,9 +30,10 @@ void define_ClusterFinder(py::module &m, const std::string &typestr) {
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py::class_<ClusterFinder<ClusterType, uint16_t, pd_type>>(
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m, class_name.c_str())
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.def(py::init<Shape<2>, pd_type, size_t, uint32_t, uint32_t>(), py::arg("image_size"),
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py::arg("n_sigma") = 5.0, py::arg("capacity") = 1'000'000,
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py::arg("chunk_size") = 50'000, py::arg("n_chunks") = 10)
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.def(py::init<Shape<2>, pd_type, size_t, uint32_t, uint32_t, uint32_t, uint32_t>(),
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py::arg("image_size"), py::arg("n_sigma") = 5.0, py::arg("capacity") = 1'000'000,
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py::arg("chunk_size") = 50'000, py::arg("n_chunks") = 10,
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py::arg("cluster_size_x") = 3, py::arg("cluster_size_y") = 3)
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.def("push_pedestal_frame",
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[](ClusterFinder<ClusterType, uint16_t, pd_type> &self,
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py::array_t<uint16_t> frame) {
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@@ -30,10 +30,11 @@ void define_ClusterFinderMT(py::module &m, const std::string &typestr) {
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py::class_<ClusterFinderMT<ClusterType, uint16_t, pd_type>>(
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m, class_name.c_str())
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.def(py::init<Shape<2>, pd_type, size_t, size_t, uint32_t, uint32_t>(),
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.def(py::init<Shape<2>, pd_type, size_t, size_t, uint32_t, uint32_t, uint32_t, uint32_t>(),
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py::arg("image_size"), py::arg("n_sigma") = 5.0,
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py::arg("capacity") = 2048, py::arg("n_threads") = 3,
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py::arg("chunk_size") = 50'000, py::arg("n_chunks") = 10)
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py::arg("chunk_size") = 50'000, py::arg("n_chunks") = 10,
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py::arg("cluster_size_x") = 3, py::arg("cluster_size_y") = 3)
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.def("push_pedestal_frame",
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[](ClusterFinderMT<ClusterType, uint16_t, pd_type> &self,
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py::array_t<uint16_t> frame) {
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