Gigapixel v5.1.5

Not for me - so not a direct result of face detection.

Am I correct in my understanding that you have a major issue with Gigapixel 5.15 and despite issues being reported within hours of being made available you have not even posted a warning message on the download page never mind pull until the issue can be investigated?

I assume you have heard of the term “duty of care” - if not I suggest you look it up - but please pull the update first.

Then I’d suggest you investigate the common thread from a number of beta testers that they highlighted this issue but their reports disappeared.

And in case you are uncertain at this stage - yes I am a PAID licence holder of the software in question and yes it crashed for me also

Please upload your Logs here, add .txt as the extension, and go to Help-> Graphics info., press copy and paste in this thread along with the logs.

Please upload your logs here, add .txt as the extension, and go to Help-> Graphics info., press copy and paste in this thread along with the logs.

Could you explain the issue you are actually having along with going to Help-> Graphics info., press copy and paste in this thread.

As long as I’m not using “Face Refinement”, “Auto-detect Settings” on the right pane and “Use recommended option” in GAI settings window - I can use GAI 5.1.5.

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5.1.5 crash for me when I try to load an image.

AMD x2700
nvidia 2070 Super with latest drivers (not hotfix)

I can’t do nothing in gigapixel.

If you manage to turn off “Face Refinement” quickly (if it’s on), you should be able to use GAI next time.
I was searching where GAI saves its settings, and I only found this place:
image
I wonder if this helps you?

That’s it is it ?

Have a go at the customer because they didn’t follow procedure?

I did mention the product and version I was having the issue with - like everyone else has had to work out themselves - uninstall and reinstall from the previous versions list.

And no I’m not going to reinstall something that doesn’t even start fully when launched - no I’m not a beta tester - I’m a customer who has paid good money for a product and now has something that isn’t fit for purpose.

If as children you all want to sit around arguing over Symantec’s rather than doing something to resolve the issue - I was obviously wasting my time reporting back

And finally can you tell me how am I supposed to know from the update dialogue if the current update is simply the broken one or a replacement with a fix ?

Keith Armstrong

Please open GigaPixel and go to Help-> Graphics info, press Copy and paste the information here.

Why do you thing I am ‘having a go at you’, I just asked you to explain the issue you are facing and paste the Graphics inf. from within the application here 


What are you saying here, I didn’t ask you to reinstall anything and I didn’t mention Symantec. If you want help just do as i asked, it is a start to identify your issue. And I don’t see any mention of your issue in this thread except you said it wasn’t face detection.

I rolled back to 5.1.4, but here is the graphic info (from 5.1.4):

Application & Version: Topaz Gigapixel AI Version 5.1.4

Operating System: Windows 10 (10.0)

Graphics Hardware: GeForce RTX 2070 SUPER/PCIe/SSE2

OpenGL Driver: 3.3.0 NVIDIA 452.06

CPU RAM: 16310 MB

Video RAM: 8192 MB

Preview Limit: 8000 Pixels

AiDon this is not driver fault because Gigapixel 5.1.4 and older version works ok. When preview is active Gigapixel not responding and crash at 2% preview/calibration. When i disable preview, then crash when save image.
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Application & Version: Topaz Gigapixel AI Version 5.1.5

Operating System: Windows 10 20H2 Beta 19042.487

Graphics Hardware: GeForce RTX 2080 Ti/PCIe/SSE2

OpenGL Driver: 3.3.0 NVIDIA 451.85/452.06/452.22/460.15

CPU RAM: 16320 MB

Video RAM: 11264 MB

Preview Limit: 8000 Pixels

Doesn’t seem like you should have any issues, do you have logs? If logging is on they will be in the the log folder which you can find from the Help menu, add them all to a ZIP file, then upload to a file sharing site such as Google Drive, DropBox etc and post the link here.

You will find that calibration does take a comparatively long time and it will look like it is stuck on 2% especially when loading OpenVINO.

There is no guarantee that Beta drivers work as the NVIDIA component, TensorFlow, may not be updated as there may be changes.

If you do reload v5.1.5, before opening an image change your performance settings to NO/NO and run a enlargement to test.

https://drive.google.com/file/d/1_WGzLkClAyi5o5AYOI7bZb0_h9sWMuf3/view?usp=sharing

NVIDIA CUDA Deep Neural Network Library works correct on 5.1.4 but fails in 5.1.5

This is error from 5.1.5:

	[CPU TF] [ 0 ] Start testing

2020-09-07T02:23:51.436 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1737> Thread ID: 0x1e4c8a41b60 NN 4 X Tensorflow Operation Start
2020-09-07T02:23:51.436 [Debug ] <TCalNumBlocks::calNumBlocks line #: 30> Thread ID: 0x1e4c8a41b60 [input size] QSize(192, 192)
2020-09-07T02:23:51.436 [Debug ] <TCalNumBlocks::calNumBlocks line #: 31> Thread ID: 0x1e4c8a41b60 [numBlocks] QSize(1, 1)
2020-09-07T02:23:51.436 [Debug ] <TCalNumBlocks::calNumBlocks line #: 39> Thread ID: 0x1e4c8a41b60 [last block] boundary needs more pixels ( 0 , 0 )
2020-09-07T02:23:51.440 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1770> Thread ID: 0x1e4c8a41b60 inTSMat size QSize(192, 192) inTSMat type “CV_16UC3”
2020-09-07T02:23:51.440 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1771> Thread ID: 0x1e4c8a41b60 → New paddedInTSMat size QSize(192, 192) paddedInTSMat type “CV_16UC3”
2020-09-07T02:23:51.440 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1782> Thread ID: 0x1e4c8a41b60 input block size 192 x 192
2020-09-07T02:23:52.952 [Warning] <TtfUtils::proc line #: 231> Thread ID: 0x1e4c8a41b60 ERROR!!! proc failed Unknown: 2 root error(s) found.
(0) Unknown: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
[[{{node tl_unet1x2x4x/Conv2D}}]]
[[netOutput4X/_7]]
(1) Unknown: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
[[{{node tl_unet1x2x4x/Conv2D}}]]
0 successful operations.
0 derived errors ignored.
2020-09-07T02:23:52.952 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1784> Thread ID: 0x1e4c8a41b60 one block convert time: 1.512
2020-09-07T02:23:52.952 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1785> Thread ID: 0x1e4c8a41b60 out block size 0 x 0

And This is form 5.1.4:

	[CPU TF] [ 0 ] Start testing

2020-09-07T02:09:55.327 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1724> Thread ID: 0x235c533c610 NN 4 X Tensorflow Operation Start
2020-09-07T02:09:55.327 [Debug ] <TCalNumBlocks::calNumBlocks line #: 30> Thread ID: 0x235c533c610 [input size] QSize(192, 192)
2020-09-07T02:09:55.327 [Debug ] <TCalNumBlocks::calNumBlocks line #: 31> Thread ID: 0x235c533c610 [numBlocks] QSize(1, 1)
2020-09-07T02:09:55.327 [Debug ] <TCalNumBlocks::calNumBlocks line #: 39> Thread ID: 0x235c533c610 [last block] boundary needs more pixels ( 0 , 0 )
2020-09-07T02:09:55.331 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1757> Thread ID: 0x235c533c610 inTSMat size QSize(192, 192) inTSMat type “CV_16UC3”
2020-09-07T02:09:55.331 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1758> Thread ID: 0x235c533c610 → New paddedInTSMat size QSize(192, 192) paddedInTSMat type “CV_16UC3”
2020-09-07T02:09:55.331 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1769> Thread ID: 0x235c533c610 input block size 192 x 192
2020-09-07T02:09:57.023 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1771> Thread ID: 0x235c533c610 one block convert time: 1.691
2020-09-07T02:09:57.023 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1772> Thread ID: 0x235c533c610 out block size 768 x 768
2020-09-07T02:09:57.059 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1812> Thread ID: 0x235c533c610 NN 4 X Operation End
2020-09-07T02:09:57.059 [Debug ] <TEUpsamplingWorker::cnnTF line #: 1813> Thread ID: 0x235c533c610 convert time: 1.732
2020-09-07T02:09:57.060 [Debug ] <TEUpsamplingWorker::doBenchmark line #: 920> Thread ID: 0x235c533c610

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Thank you, hopefully this will give more insight to Taylor as the processing options have been changed to add TensorFlow & CPU as a processing option.

And as I only have a GTX1050/4GB I don’t see these types of issues that seem to be restricted to some of the RTX line which I see NVIDIA sending out hotfixes often for the gaming community.

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with the new update I can’t see the blur settings on my screen. something changed about the spacing. I have a x280 ThinkPad, small screen, now I have to change my DPI way too small. please make the small adjustment back to what the screen spacing was.

for me, as long as i dont use “Face Refinement”, “Auto-detect Settings”, and use “Use recommended option” in settings, it works for me, otherwise, it freezes at 2% preview

Please go to Help-> Graphics info., press Copy and paste the info here. Doesn’t matter which version you are using.