I have come up with a workaround to bypass Aurora's batch processing algorithm, by running Aurora via the Lightroom plugin in single processing mode and processing three files at a time, then repeating the process with a mouse/keyboard recorder for all images in a batch. I did try the last version of Aurora HDR 2018, and encountered the same "blooming" aberration bug, so I didn't test it beyond that. OTOH Aurora HDR 2018 does or did *not* have this problem (at least not with my Leica RWL/RAW files). I notified Support asap, but until now got no feedback whatsoever. My guess is that we are seeing a serious memory corruption bug here and it will be there at all times, probably even for non-batch bracketed/singel? images. but sometimes at the first HDR bracketed images, at other occasions after 100 or so. I used the EXACT same batches many times and it fails at all times!. even when the Batch detection algorithm works correctly it will/may fail/crash to DESKTOP at *any* time ! I'm afraid that's not even the whole story. I'm still testing the fully functioning trial version. My needs are pretty basic, and every other HDR package I've used doesn't have any problems processing my test images.Īll I can say is thank god I didn't buy this "beta" software, its clearly buggy as hell and not ready for a prime time release. ![]() I must say, so far, I'm pretty disappointed with Aurora HDR's lack of bug testing before release. I don't know why the Aurora HDR coders didn't just allow the user to set the number of bracket images manually before initiating the batch process, like every other HDR application? They'll notice the Aurora HDR algorithm fails to recognise them as 3 image sets, and adds the first image of the second set as a fourth bracket image to the first set. I have sent 6 raw images (2x3 bracketed images) to test the batch process themselves. ![]() The Aurora HDR batch detection algorithm is incorrectly detecting then grouping the wrong images. I found out what caused the batch process to cancel abruptly.
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