Gigapixel v5.0.1

Those are targeted at Win 10 2004 which I have not migrated to yet so I was in no rush to update drivers. I went ahead and updated the drivers anyway, and as I expected the results were pixel for pixel identical to the results I had an hour ago with the older drivers.

This version still has serious color problems. As long as the image appears black and blue, the image export will appear reddish. It works normally in version 4.4.5. Even if the preview will appear red, the export works normally. This is a Very serious problem, hope to solve it.

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Hey Andy, I made the image highly compressed to test how good Gigapixel was at removing the artifacts. I figured it was a good test of AIE as well. Thanks for your test info.

Huh? OpenVINO is an Intel software that uses an Intel CPU feature:

" OpenVINO toolkit (Open Visual Inference and Neural network Optimization) is a free toolkit facilitating the optimization of a Deep Learning model from a framework and deployment using an inference engine onto Intel hardware."

@lhkjacky I tried it myself and you are certainly right, the CPU (even though it is slower) with Open VINO produces a better results. I didn’t find any difference between the Max Quality setting on or off when using the CPU. With MQ off, it will run approximately twice as fast. I also hope Topaz can improve the GPU results to be like the CPU. I assume they both use the same model.

Just saw tjwmmd2 reply on Open VINO. I have an AMD 2600X CPU and Open VINO works and speeds up the process.


But that makes no sense though.

The supported hardware for OpenVINO are given below

  • 6th to 10th generation Intel® Core™ processors and Intel® Xeon® processors
  • Intel Pentium® processor N4200/5, N3350/5, or N3450/5 with Intel® HD Graphics

And this post:

I dunno, seems like parts of OpenVINO that use SSE2 and doesn’t use the Intel optimizations may work on AMD.

But it doesn’t mean that it doesn’t work.
Look in the log files:

2020-07-04T11:35:06.293 [Debug  ] <TEUpsamplingWorker::procMat line #: 441> Thread ID: 0x1f69796c2d0 ===========================================================
2020-07-04T11:35:06.293 [Debug  ] <TEUpsamplingWorker::procMat line #: 442> Thread ID: 0x1f69796c2d0   Start image processing                                   
2020-07-04T11:35:06.293 [Debug  ] <TEUpsamplingWorker::procMat line #: 443> Thread ID: 0x1f69796c2d0 ===========================================================
2020-07-04T11:35:06.293 [Debug  ] <TEUpsamplingWorker::procMat line #: 445> Thread ID: 0x1f69796c2d0 !!!!! CPU
2020-07-04T11:35:06.293 [Debug  ] <TEUpsamplingWorker::procMat line #: 461> Thread ID: 0x1f69796c2d0 !!!!! OpenVINO
2020-07-04T11:35:06.293 [Debug  ] <TEUpsamplingWorker::procMat line #: 462> Thread ID: 0x1f69796c2d0 - iGPU available (m_igpu_available): false
2020-07-04T11:35:06.293 [Debug  ] <TEUpsamplingWorker::procMat line #: 463> Thread ID: 0x1f69796c2d0 - Enable iGPU (m_enableIGPU)       : true
2020-07-04T11:35:06.293 [Debug  ] <TEUpsamplingWorker::procMat line #: 471> Thread ID: 0x1f69796c2d0 Model file: "C:\\ProgramData\\Topaz Labs LLC\\Topaz Gigapixel AI\\tgrc\\"
2020-07-04T11:35:06.293 [Debug  ] <TEUpsamplingWorker::procMat line #: 519> Thread ID: 0x1f69796c2d0 !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
2020-07-04T11:35:06.293 [Debug  ] <TEUpsamplingWorker::procMat line #: 520> Thread ID: 0x1f69796c2d0 ----- OPENVINO FP32 "C:\\ProgramData\\Topaz Labs LLC\\Topaz Gigapixel AI\\tgrc\\"

It use the OpenVINO FP32 AI model from topaz.

According to Wikipedia, AMD Ryzen CPU support instructions sets “SSE1, SSE2, SSE3, SSSE3, SSE4a, SSE4.1, SSE4.2 and also AVX, AVX2,”.

I am using AMD Ryzen 7 1700 cpu, enable OpenVINO in GP speed up the CPU process significantly.

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I noticed that using CPU with this version I only get 40% of CPU usage when processing images.
I still have v 4.4.5 and it gets 60% of CPU usage. And of course it was much faster with v 4.4.5
CPU : AMD Threadripper 1950X 16C/32T

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Can confirm this finding.
On my 3900X 12c/24t the version 4.x got 80% CPU usage the 5.x only 50% max.
Maybe Topaz use a new version of OpenVINO which is more optimized on Intel and less AMD ready, but for my usage I still prefer OpenVINO over GPU model.

I have a Ryzen 2700x and with the OpenVINO I get worse results than CPU mode only. More noise, less sharper and more glitches.

CPU vs GPU vs OpenVINO:

Yes, the CPU version is slightly sharper than OpenVINO, but both of them are much better than process by GPU. Those “Red line” or “Grid Pattern” only show when using GPU.

In my old Ryzen 1st generation 1700 processor,
Process by CPU took 100 seconds at 70~80% cpu consumption.
With OpenVINO enabled, it only took 40 seconds at around 30~50% cpu consumption.
While using GPU, it took 20 seconds.

Processing Time:
CPU (100s) > OpenVINO (40s) > GPU (20s)

I have a newer Ryzen 7 3700X and see a similar result:

CPU 88 sec, 75-85% CPU
OpenVINO 27 sec, 65-75 % CPU
GPU (RTX 2070 Super) 10 sec, 15-30% CPU

Gigapixel version 4.4.5 and/or 4.4.6 still has better image quality compared to the latest version. Also, very stable. Although, may be a bit slower. One can request an installer from support at the main website, to compare the difference with the new version. Both applications can co-exist as they install into different directories.

In my experience, quality declined after version 4.4.6.

Interesting with my i7/GTX1050 this is the best release for quality and speed.

I’ve done a lot of testing quality wise, and those are my findings. Of course, there is nothing wrong with you being happy with it. Enjoy!

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Hello, this is my first time posting, im a long time user of Gigapixel. I hope i dont break some form rule or get attacked for this but i want to bring up the argument that i just tried the internet based AI upscaler called ‘letsenhance’ and on a test image of roughly 600x600 in a 4x enlargement it hands down beat Gigapixel.
No matter what mode or setting i tried with gigapixiel. It beat it in that it retained more of the original image shapes within the image , lost less detail and created more higher resolution and believable details.

Now i checked their pricing plans and i dont like the look of it, they limit the amount of images per month to 100 for $108 every year. For more images its much more expensive. Topaz with its unlimited images and ability to just batch load a lot of images and have it crunch through them in no time is far better… BUT ultimately im looking for the best output image quality…

Can anyone here from Topaz Labs give any insight if the quality of Topaz Gigapixels output will in fact increase in the future or not?

I haven’t used ‘letsenhance’ and the cost you quoted seems too steep. Also, I wouldn’t upload my personal images to some website. But if, as you say, the image quality is indeed better, I also hope Topaz will not only try to match it, but aim to outdo it.

I agree with you johnnystar, v 4.4.5 produces in most cases better results after the tests I made.
I think I will stick with this version.
But for the first time I made real tests on original images downsized 4X then Upscaled 4X on Gigapixel AI
and after comparing the results with the original images Gigapixel AI has still a long way to go recover the fine details.

@sono2000 I looked at the letsenhance facebook page and it is interesting. It is certainly less expensive than AI Enlarge for most users if you have up to 100 images a month or less. If you sign up you can get five images processed for free. Here is the facebook page for those who want to read more. Redirecting... I didn’t test any pictures so I can’t compare results.

As for Gigapixel, I believe that Topaz will continue to improve it as they have done so far. I think concentrating on quality (especially small faces) would be a good idea.