Peak-based Action
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const var TimPan = Content.getComponent("TimPan"); TimPan.setTimerCallback(function() { var Peak = Engine.getMasterPeakLevel("L"); if (Peak > 0.1) { Sat1.set("visible", false); Sat2.set("visible", true); } else { Sat1.set("visible", true); Sat2.set("visible", false); } }); TimPan.startTimer(50);I have written the code above, trying to switch between two graphics based on the output peak. I think it worked for oscillators in hise, but I want it to react to the sound coming from the DAW. (it's an effects-plugin)
Any ideas if and how I could achieve something like that.
ps. it would be good if something like that would be possible with low performance cost -
@VorosMusic That code looks like it should work. You could reduce it a bit
TimPan.setTimerCallback(function() { var state = Engine.getMasterPeakLevel("L") > 0.1; Sat1.set("visible", !state); Sat2.set("visible", state); }); -
@VorosMusic I would go for a global_cable instead of a timer so the callback only fires when the value changed.
Even better, it allows you to place the logic on the DSP side so the script callback we really just fire when necessary.That been said this is still a lightweight job for the script, but when I can prevent a timer for running all the time, I do…
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@ustk Thats what I thought too. Not a fan of the continuous times thing, but I didn't know any other way.
I have never used a global_cable do you have a starting point for me?
ps. @David-Healey thank you for the reduced version! Currently still no effect in DAW.
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@VorosMusic Here's a snippet that demonstrates how to handle the detection and integration part in the DSP.
Notice that the callback only fires when the value changes from peak (value==1) to clean (value==0) and vice-versa, with no extra firing in between (that's not entirely true as it fires sometimes but this might be due to the AsyncNotification not being fast enough when the changes are erratic like in this example)HiseSnippet 2117.3oc6Y0DaijTEt63TdF6YfcWsgENrG5YDG7.iL1IYlLqVwDm33Dh1IYLwdyBmhJ2cY6RtcU81c4Lwf1Sb.twYPBI3NGPbCIPLmQZ3Nm3D2yo85xqppa6tcamI1IY2cP3QZRWU8dc89468SWUcetMIHf6aXlu4POhg4cQMFxDcq1ESYF6uig4Jn8b4svtUwsbI0NC22ykXr8PObP.wwvzLydRJMysrg524atM1EyrIimxv3XN0l7LZepX7rdU9Hpq6tXGRSZ+XTudk8s4rpbW9.PpxfJY3gs6g6PNDKIaIjwOBGz0v76gVi37AOoLYiG2pzFqtZI6MHOlr9ZNsdhy5kINqSvq8AO5QjMV0vLaMGpf62PfEj.3ktM2YXit7Wvzavwz.JnbxAkMZ.6rdZipcotN0iLQAFFln5iMXYzFrUPGPcnilerg6sUKXMli3FMyktHQp7bHRlwDok0hz6fZX6S8DiWQJO2AsOSP7aisS5+zzZrze0DUkCTvDE6i6Q10GFLhiBOtToGZA+2C9v74A+Sfv5Tru0dGcf0OzpFqCkQJ1gHzPki3CDTVmCvLvs4W.XYLGdDbuS5XCbA7JYQgqJb+v4uu78mObPQeRGZ.HAUwtts.TPg1CX1BJmU3Tr6.xCx+yymi11ROx5oVkJ9nGjOWNPMB3tjhd9Tlnv8umU8Za8Q26d2S9xyQbCHoo4oVUcIXVwhEUDkK+m8PqsBFxrOjKnso1X4t9fOLZ+s3LXAxyYETxP9OKu0jK0t8TWSZh84ttR6xTVVFK3eQLVfMneKh+CsFaAjDB99j.prWN.ks1iGiPNaeFU7bOR33c4tNRfh74zvOiPHC7zGu+NXAVhHCmCnyi3KnRwwbGxoPN.M9LGZGRPOA2yvHM3EBa3NCbwhjwRxrLgK.1iD.XIHkEPECimEZNBvJcgAXWVQ7cP0oB6tSWFWZJxHXotIjwvzReCTs1sI1hwB3xnc+IKZNnRycNn7g4ff8Tm7QOzZBYHL4i4uBMFq64S7v9jl75t3gEBTUbNBDwGZ0xka2qA8mQRGf3okfskTTvtKlwf.8EINJ60ThYiQYAE9zyfRGGNneCnllMoZnzAyYtjLDROtjbrDVzfvbTC9B3W3hkkiMCWrbzhwh9NjHdA2umxaD9rg4skl9uMZO5ojCH0kIU2IvKZ0sbc4unJuuGMDuBtC0b04tC85xYTa4TZJhD5s5yG.6WnjOFrucjmIRIfhzMwTWI1uwf.HahyyYMf2ipy.yLGS7CT64sPkJB+ChENj6.KkcWrMX9GVGK5JCpjIn.DLwun8Hj7rzn3.Kc2ByhR4dE0hgVdA0ruzRJavvLSrTWZzsbDD6tjb6uKZ+fikqZicMNVBejZo5cJIORQjjlEIKkYjPmtCnS9PgG4Bok3PNdMB3xwEvXtglXenjZPXRXFwV6XUhz9NxLu1f6DBtLpi8g8CpsJmNK5Yj1B0d.wZmEkGeGZfGDBt8.HShNNOwLRyAygbVDZrFDP4.0JTrGgPGsORAMlkIOpO2Q6RSXcVIlGeDEoMSwX+lzWlIlDeKzTD2z.zzxZDiWfftBpYWhkCXmBylg8EWihtDxwNEnEbZID+2UI9P5vhiIHsBDm8qj0NqrvIIRXygbZsp5qGt5H3agNh1oK.gii2f8OZDfXNfxh13vJv+zWd.9rIlCxvJHd5LY4V929aj+9Ka1nG4EZCmb1mZ+2dUm+z2phFUneAMImIZxUOWcjwBrbeLDgzFfGNfj0Q+8KMFzZOe9.O0fI19BubGRa7.WQJwJdvyXivT.iZuod4z9xwrNOdx4vAgPXGmIcNZsIoyISLmycR6bf8Lky47Mi6bF4vR3bhnTi2T40tl7MFFyx2r0.AuOzufpUOiad8JBsekUrk99+x26e8O+2aN2JV9Kmh89URqXmu4rUr6hppPmxVqu1baUtLgTZXahvInFC72hx4SGGoo+0DCsThXnYlZ5FCkbslZZtg+STw+15xfkm+Bni37BL2eBTAkFXAu5.KWZOhElYAeYOoiBKAOZw8cH9VBtUOBwyR.0akcZAqzl62WkZyBCrJDtDKWNqCHPEKdM1K36hHfw2EX+j1bYe1SVL98QNCY39T6fhooLsUYZuuan1FyGUzn7WI8MlnTwkKySke8jYd98oqiCyZ8pe2q1TiN2RHv18lQzRVj5TJuRAJqWY9KML25QNzQDWBNfb0UDXumhhfTGQq98oPiKPYgokI6hJK7VQm6ZCZGFDncimQK4WpLB7O2caEi2an1s9lnNpyb8Da44n9+665Mi9t9Eu7e7Gp84ytuqqX70Wya6ZVcHLAVNQz16g70mmVwDzjNjahWR7vtbY2y6O+Ey8IDDKtazWtFdCESMRc1M5c22HZz67Y.KOeyDwaSGiNo9arMm2qOVcxjW4qH315EuE5PNEpvoO1c0yV6QfNHU32uTuaRyLIOt3kubGWbxayHF8S4v0W9l5NGW9xcd+ulK.5q+2fShqmHWjL1fJ6YsVXKzgXoPf+nYiKjGvY7niEeL74Hhvm1oCIYP4zzmv9KGMyJUh5TazTe2JOCBSw9pSIawLEy+sEOU202IrcXKY.f0Uws8kJJ6Z3R3t1k2upuPt7QYTqNv+TRsO0HriZcRZe5mZU6GmrN5f96RcUouCuzoswpajRaz9i+f+yeWNQ4QVw2dPE4DqlLSKyYsImX83F9c2sYMlrFsV2y7lz8t8+J6QersO+jvuiQBbtsZFv1xBOs3CjisJab5jsszGJzbhscxWUJFWcQYbsEkw0WTFezhx3iWTF2XQY7IudFk8AD1tlLMHzlY8Z5CXwLVTmw+Ebk3BYI