Is it possible in Tensorboard to Add to main graph all elements at once? Every time when I load a graph I see this picture. And adding all elements manually takes minutes. I could not find a way to add all to see the whole graph. Is it possible?
You can scope all elements in a common name scope when building the computational graph.
It's not a solution, but shows you the whole graph.
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I'm looking to auto-generate a Bill Of Materials (BOM) in draw.io by using object ID's. This is because my plans contain many of the same or similar components making it difficult to visually count. So, ultimately I'd like to auto-generate a parts list. Firstly is this possible in draw.io? Secondly what would be the best method of execution?
Currently I'm converting my diagram to PDF and then using the find function to count the number of instances of the part number.
A point in the right direction would be most welcome.
I want to be able to use bfs in BGL to find all the trees of a forest, which is basically finding connected components using multiple source vertices. For example, it may be used to find different connected regions of an image to enable image segmentation (this is just one of the cases). How can I use the breadth_first_search in BGL to do this? Any pointers to examples/sources would be greatly appreciated! I have surveyed BGL documentation and have not been successful in finding what I want to do.
Just use the connected components that already exists in boost. There is a useful example. Afterwards all vertices in the graph will have a mapping to their component. If you really want to use BFS on individual parts, just use a visitor and push nodes into a vector.
You can specify your start node with:
breadth_first_search(graph, visitor(vis).root_vertex(root_vertex_descriptor));
I am working on a huge graph.
I'm interested to focus on a small part of the graph and make some optimization on it.
All other "not interesting" nodes will be packed to one "supernode".
I am going to make number of iterations, each iteration will focus on another part of a graph. Then, I need to unpack existing supernode and pack another supernode.
I am looking for existing packages/algorithms which can do for me the packing/unpacking jobs.
I am working on C++ and using boost BGL.
I am new to graph theory and graph concept.
I am workign on something, that requires me to create a mesh(Undirected graphs) with n number of nodes.
Once the structure is created, I would be running various algorithms on the structure, to find a shortest path from a node to other.
No for this I have decided to use Boost graph librabry.
I read through the online documentation. The online documentation is good but at the same time not sufficient.
I went through various examples online and everywhere, they import the graph from Graphviz.
If i am not wrong, we have to manually draw or write a dot program to get a graph in Graphviz and import in .dot format(Please correct me if i am wrong)
But is there a way in Boost where I could create a graph, instead of importing it from GraphViz?
And I would let user to decide the number of vertices in it, instead of pre-defining it.
Any help would be very much appreciated.
Thanks a ton in advance.
It's maybe not very correct, but I am giving a response a gave before.
https://stackoverflow.com/a/3100220/202083
You can see how to programmaticaly add nodes and edges.
I hope this is enough for you to get started.
hello every i want to ask that is there any way through which i can pick values from the plotted graph and statistically analyze them using c++ programming and also the graph is moving graph (realtime graph)
thank u kindly help me
i am using c++ and linux and graph is plotted by using qwt and qt
Analyzing doesn't look necessary for what you describe (if I got it well) and would be too costly. You simply need to create an observer system ; when a node value is changed, send a message with the new value. You'll only need to see if the value is zero. Add special events for the extreme nodes and check when their value is changed if they match.