Hi, i'm trying to learn programing using Java processing, I want to run G4P examples, butthe tool is not working right I reinstall it . I found this , but it never got answered. I am using Ubuntu, (cool for me :)I went here _58072but the answer was never givin. How do you fix this ?
The installation of a library in processing is very simple. In case of PeasyCam, you first you need to download the library from Feinberg's website: After you unzipped the file put the PeasyCam folder in the libraries folder of processing. If there is not any library folder, make one your self.
processing no library found for peasy
DOWNLOAD: https://cinurl.com/2vJBjT
This RecursiveFactorization.jl used tools from the JuliaSIMD stack, mainly LoopVectorization.jl and Polyester.jl's low-overhead threading model, to generate architecture-specific compute kernels with efficient multithreading. After a great lift done by @chriselrod and @yingboma on this front, the results became very clear that this new LU-factorization codebase completely stomped OpenBLAS out of the water, achieving more than a 2x performance boost for matrices smaller than 500x500. But surprisingly, on some CPU architectures RecursiveFactorization.jl was seeing up to 50% over the well-optimized MKL library (and interestingly, there's a heavy correlation between "seeing a really good result" and "having benchmarked on an AMD CPU"). More details about this can be found in a pull request and in Chris Elrod's JuliaCon 2021 talk on pure Julia linear algebra functions.
Yep. I just load my lights, flats, and darks into Deep Sky Stacker and let it do its thing. After the first run I just use the master darks and flats generated by DSS. From there the stacked image goes into Nebulosity for initial processing and Photoshop CC for final processing. Easy peasy. Seems to work.
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