LUG talk: darktable for beginners

Entropy512 · August 14, 2019, 2:56pm

Might want to cover some “tips and tricks and gotchas” - small things that can potentially be highly beneficial:

Because of the way white balance multipliers work (they are all positive), they may actually want to use -EV exposure compensation to pull highlights back below the clip point which is potentially counterintuitive. Also just a quick overview of scenarios you might want to use the highlight reconstruction module in.
Use of right-click on a slider to get a more fine-grained slider and numeric entry (strangely, I don’t remember this being present when I last used a release version of DT - either I missed it and if I did so will a lot of new users, or it’s new in git master…)

Daniel_Catalina · August 14, 2019, 2:59pm

You can inspire from here Darktable Tricks. Tips and tricks are always catchy!

priort · August 16, 2019, 4:21pm

Being clear on the concept of non-destructive editing would be important given the number of people that often seem confused on that. Also sending out some basics on digital imaging ahead of the presentation might be a real boost. I find many people are frustrated by something complicated by DT but it is because they lack a basic understanding about the nuts and bolts of digital image editing…This is a really great site for issues around color digital editing etc that is really something everyone should have a handle on in my opinion This site is fantastic and covers all the basics https://www.cambridgeincolour.com/ . Finally reminding them that DT is open source and has evolved from the contributions of several individuals the result being a large number of modules with quite a bit of overlap and so there is not one correct way to do things …Its a toolbox and how you craft depends on the tools you like and the combination that you use them in…But really its very complicated and powerful so I would choose a theme…How to get images in, a basic edit and how to export. Then you could insert some nuance and complexity later…just my thoughts…

Pierre · September 5, 2019, 9:35am

I’m very late to the party, and I don’t know if you’ve always done your presentation…

Like @patdavid said, there is a high chance your audience is not entirely familiar with the concept of raw photos (compared to jpeg or png files), so it’s good to explain this.

As for darktable itself, most people “just” want to open a raw photo and edit it to get a good result. If you have a workflow you follow all the time, it’s a good idea to talk about it (what module, in what order and why).

If you have some extra time, explaining the magic denoising using one luma and one chroma denoise module would be pretty cool (it’s briefly mentioned in the user manual). I don’t know if other software have this option, but it gives very good results and can be adjusted for each photo to get the best level of details Vs. noise reduction output.

Hopefully this can be recorded and shared here!

Cheers!

zerosapte · September 5, 2019, 9:38am

Talk about how damn slow it is, even on moderately powerful hardware and how to make it less so.

Claes · September 5, 2019, 9:50am

Morning, @radu

What is “damn slow”?
What results do you get when running the two benchmark tests described here:

Have fun!
Claes in Lund, Sweden

zerosapte · September 5, 2019, 10:35am

Sup, @Claes.

Damn slow is everything. The interface, switching between light and darktable modules, seeing the effects of every edit and slider movement takes seconds sometimes.

I took a look at the links you posted, but I’m afraid that is a bit beyond my level. I only just switched to Linux a few weeks ago, after having been a Windohs user for the last 25 years. The learning curve is real.

I don’t know how to do those benchmarks. I also saw mention of OPENCL and I don’t think my machine supports that… whatever it is.

I use an ASUS FX503 (laptop)
i5 7300, gtx 1050 4gb (non-ti), 16gb ram, 1x 256gb M2 SSD, 1x 1tb sshd.

Teach me how to run those benchmarks and I’m happy to do so.

Claes · September 5, 2019, 11:10am

Let’s take this step by step…

GTX 1050 is not a bad graphics card.
To check openCL, enter this command in a terminal:
darktable-cltest

Have fun!
Claes in Lund, Sweden

zerosapte · September 5, 2019, 11:18am

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0.088164 [opencl_init] device 0 `GeForce GTX 1050' has sm_20 support.
0.088314 [opencl_init] device 0 `GeForce GTX 1050' supports image sizes of 16384 x 32768
0.088317 [opencl_init] device 0 `GeForce GTX 1050' allows GPU memory allocations of up to 1010MB
[opencl_init] device 0: GeForce GTX 1050 
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0.278622 [opencl_init] kernel loading time: 0.0987 
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0.278632 [opencl_init] here are the internal numbers and names of OpenCL devices available to darktable:
0.278633 [opencl_init]		0	'GeForce GTX 1050'
0.278636 [opencl_init] FINALLY: opencl is AVAILABLE on this system.
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0.279454 [opencl_priorities] these are your device priorities:
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0.279479 [opencl_priorities]		0	0	0	0
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0.279486 [opencl_priorities]		1	1	1	1
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0.403176 [opencl_create_kernel] successfully loaded kernel `markesteijn_interpolate_green' (66) for device 0
0.403185 [opencl_create_kernel] successfully loaded kernel `markesteijn_solitary_green' (67) for device 0
0.403190 [opencl_create_kernel] successfully loaded kernel `markesteijn_recalculate_green' (68) for device 0
0.403195 [opencl_create_kernel] successfully loaded kernel `markesteijn_red_and_blue' (69) for device 0
0.403218 [opencl_create_kernel] successfully loaded kernel `markesteijn_interpolate_twoxtwo' (70) for device 0
0.403223 [opencl_create_kernel] successfully loaded kernel `markesteijn_convert_yuv' (71) for device 0
0.403239 [opencl_create_kernel] successfully loaded kernel `markesteijn_differentiate' (72) for device 0
0.403244 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_threshold' (73) for device 0
0.403261 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_set' (74) for device 0
0.403265 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_sum' (75) for device 0
0.403270 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_max' (76) for device 0
0.403273 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_max_corr' (77) for device 0
0.403277 [opencl_create_kernel] successfully loaded kernel `markesteijn_homo_quench' (78) for device 0
0.403281 [opencl_create_kernel] successfully loaded kernel `markesteijn_zero' (79) for device 0
0.403286 [opencl_create_kernel] successfully loaded kernel `markesteijn_accu' (80) for device 0
0.403290 [opencl_create_kernel] successfully loaded kernel `markesteijn_final' (81) for device 0
0.404760 [opencl_create_kernel] successfully loaded kernel `colorchecker' (82) for device 0
0.406668 [opencl_create_kernel] successfully loaded kernel `velvia' (83) for device 0
0.408255 [opencl_create_kernel] successfully loaded kernel `graduatedndp' (84) for device 0
0.408279 [opencl_create_kernel] successfully loaded kernel `graduatedndm' (85) for device 0
0.410104 [opencl_create_kernel] successfully loaded kernel `rawoverexposed_mark_cfa' (86) for device 0
0.410127 [opencl_create_kernel] successfully loaded kernel `rawoverexposed_mark_solid' (87) for device 0
0.410133 [opencl_create_kernel] successfully loaded kernel `rawoverexposed_falsecolor' (88) for device 0
0.411576 [opencl_create_kernel] successfully loaded kernel `lowpass_mix' (89) for device 0
0.413481 [opencl_create_kernel] successfully loaded kernel `colorin_unbound' (90) for device 0
0.413510 [opencl_create_kernel] successfully loaded kernel `colorin_clipping' (91) for device 0
0.415965 [opencl_create_kernel] successfully loaded kernel `bloom_threshold' (92) for device 0
0.415988 [opencl_create_kernel] successfully loaded kernel `bloom_hblur' (93) for device 0
0.416011 [opencl_create_kernel] successfully loaded kernel `bloom_vblur' (94) for device 0
0.416015 [opencl_create_kernel] successfully loaded kernel `bloom_mix' (95) for device 0
0.418086 [opencl_create_kernel] successfully loaded kernel `retouch_clear_alpha' (96) for device 0
0.418114 [opencl_create_kernel] successfully loaded kernel `retouch_copy_alpha' (97) for device 0
0.418118 [opencl_create_kernel] successfully loaded kernel `retouch_copy_buffer_to_buffer' (98) for device 0
0.418125 [opencl_create_kernel] successfully loaded kernel `retouch_copy_buffer_to_image' (99) for device 0
0.418144 [opencl_create_kernel] successfully loaded kernel `retouch_fill' (100) for device 0
0.418148 [opencl_create_kernel] successfully loaded kernel `retouch_copy_image_to_buffer_masked' (101) for device 0
0.418155 [opencl_create_kernel] successfully loaded kernel `retouch_copy_buffer_to_buffer_masked' (102) for device 0
0.418159 [opencl_create_kernel] successfully loaded kernel `retouch_image_rgb2lab' (103) for device 0
0.418164 [opencl_create_kernel] successfully loaded kernel `retouch_image_lab2rgb' (104) for device 0
0.418168 [opencl_create_kernel] successfully loaded kernel `retouch_copy_mask_to_alpha' (105) for device 0
0.419498 [opencl_create_kernel] successfully loaded kernel `vignette' (106) for device 0
0.421791 [opencl_create_kernel] successfully loaded kernel `ashift_bilinear' (107) for device 0
0.421802 [opencl_create_kernel] successfully loaded kernel `ashift_bicubic' (108) for device 0
0.421806 [opencl_create_kernel] successfully loaded kernel `ashift_lanczos2' (109) for device 0
0.421810 [opencl_create_kernel] successfully loaded kernel `ashift_lanczos3' (110) for device 0
0.424503 [opencl_create_kernel] successfully loaded kernel `exposure' (111) for device 0
0.425730 [opencl_create_kernel] successfully loaded kernel `overexposed' (112) for device 0
0.426976 [opencl_create_kernel] successfully loaded kernel `colorcontrast' (113) for device 0
0.428405 [opencl_create_kernel] successfully loaded kernel `highpass_invert' (114) for device 0
0.428434 [opencl_create_kernel] successfully loaded kernel `highpass_hblur' (115) for device 0
0.428438 [opencl_create_kernel] successfully loaded kernel `highpass_vblur' (116) for device 0
0.428442 [opencl_create_kernel] successfully loaded kernel `highpass_mix' (117) for device 0
0.429877 [opencl_create_kernel] successfully loaded kernel `splittoning' (118) for device 0
0.431262 [opencl_create_kernel] successfully loaded kernel `pixelmax_first' (119) for device 0
0.431270 [opencl_create_kernel] successfully loaded kernel `pixelmax_second' (120) for device 0
0.431286 [opencl_create_kernel] successfully loaded kernel `global_tonemap_reinhard' (121) for device 0
0.431291 [opencl_create_kernel] successfully loaded kernel `global_tonemap_drago' (122) for device 0
0.431295 [opencl_create_kernel] successfully loaded kernel `global_tonemap_filmic' (123) for device 0
0.435499 [opencl_create_kernel] successfully loaded kernel `lens_distort_bilinear' (124) for device 0
0.435521 [opencl_create_kernel] successfully loaded kernel `lens_distort_bicubic' (125) for device 0
0.435526 [opencl_create_kernel] successfully loaded kernel `lens_distort_lanczos2' (126) for device 0
0.435551 [opencl_create_kernel] successfully loaded kernel `lens_distort_lanczos3' (127) for device 0
0.435555 [opencl_create_kernel] successfully loaded kernel `lens_vignette' (128) for device 0
0.512745 [opencl_create_kernel] successfully loaded kernel `colorreconstruction_zero' (129) for device 0
0.512761 [opencl_create_kernel] successfully loaded kernel `colorreconstruction_splat' (130) for device 0
0.512765 [opencl_create_kernel] successfully loaded kernel `colorreconstruction_blur_line' (131) for device 0
0.512772 [opencl_create_kernel] successfully loaded kernel `colorreconstruction_slice' (132) for device 0
0.514329 [opencl_create_kernel] successfully loaded kernel `zonesystem' (133) for device 0
0.515586 [opencl_create_kernel] successfully loaded kernel `colorize' (134) for device 0
0.517156 [opencl_create_kernel] successfully loaded kernel `clip_rotate_bilinear' (135) for device 0
0.517187 [opencl_create_kernel] successfully loaded kernel `clip_rotate_bicubic' (136) for device 0
0.517198 [opencl_create_kernel] successfully loaded kernel `clip_rotate_lanczos2' (137) for device 0
0.517205 [opencl_create_kernel] successfully loaded kernel `clip_rotate_lanczos3' (138) for device 0
0.519067 [opencl_create_kernel] successfully loaded kernel `sharpen_hblur' (139) for device 0
0.519092 [opencl_create_kernel] successfully loaded kernel `sharpen_vblur' (140) for device 0
0.519113 [opencl_create_kernel] successfully loaded kernel `sharpen_mix' (141) for device 0
0.522242 [opencl_create_kernel] successfully loaded kernel `colormapping_histogram' (142) for device 0
0.522271 [opencl_create_kernel] successfully loaded kernel `colormapping_mapping' (143) for device 0
0.524161 [opencl_create_kernel] successfully loaded kernel `basecurve_lut' (144) for device 0
0.524171 [opencl_create_kernel] successfully loaded kernel `basecurve_zero' (145) for device 0
0.524194 [opencl_create_kernel] successfully loaded kernel `basecurve_ev_lut' (146) for device 0
0.524199 [opencl_create_kernel] successfully loaded kernel `basecurve_compute_features' (147) for device 0
0.524220 [opencl_create_kernel] successfully loaded kernel `basecurve_blur_h' (148) for device 0
0.524224 [opencl_create_kernel] successfully loaded kernel `basecurve_blur_v' (149) for device 0
0.524228 [opencl_create_kernel] successfully loaded kernel `basecurve_expand' (150) for device 0
0.524232 [opencl_create_kernel] successfully loaded kernel `basecurve_reduce' (151) for device 0
0.524237 [opencl_create_kernel] successfully loaded kernel `basecurve_detail' (152) for device 0
0.524241 [opencl_create_kernel] successfully loaded kernel `basecurve_adjust_features' (153) for device 0
0.524245 [opencl_create_kernel] successfully loaded kernel `basecurve_blend_gaussian' (154) for device 0
0.524250 [opencl_create_kernel] successfully loaded kernel `basecurve_blend_laplacian' (155) for device 0
0.524254 [opencl_create_kernel] successfully loaded kernel `basecurve_normalize' (156) for device 0
0.524257 [opencl_create_kernel] successfully loaded kernel `basecurve_reconstruct' (157) for device 0
0.524259 [opencl_create_kernel] successfully loaded kernel `basecurve_finalize' (158) for device 0
0.529618 [opencl_create_kernel] successfully loaded kernel `shadows_highlights_mix' (159) for device 0
0.531108 [opencl_create_kernel] successfully loaded kernel `monochrome_filter' (160) for device 0
0.531136 [opencl_create_kernel] successfully loaded kernel `monochrome' (161) for device 0
0.532851 [opencl_create_kernel] successfully loaded kernel `warp_kernel' (162) for device 0
0.534538 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_precondition' (163) for device 0
0.534561 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_init' (164) for device 0
0.534584 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_dist' (165) for device 0
0.534588 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_horiz' (166) for device 0
0.534608 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_vert' (167) for device 0
0.534613 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_accu' (168) for device 0
0.534617 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_finish' (169) for device 0
0.534622 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_backtransform' (170) for device 0
0.534641 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_decompose' (171) for device 0
0.534647 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_synthesize' (172) for device 0
0.534663 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_reduce_first' (173) for device 0
0.534666 [opencl_create_kernel] successfully loaded kernel `denoiseprofile_reduce_second' (174) for device 0
0.538327 [opencl_create_kernel] successfully loaded kernel `tonecurve' (175) for device 0
0.545142 [opencl_create_kernel] successfully loaded kernel `eaw_decompose' (176) for device 0
0.545182 [opencl_create_kernel] successfully loaded kernel `eaw_synthesize' (177) for device 0
0.548130 [opencl_create_kernel] successfully loaded kernel `highlights_1f_clip' (178) for device 0
0.548141 [opencl_create_kernel] successfully loaded kernel `highlights_1f_lch_bayer' (179) for device 0
0.548146 [opencl_create_kernel] successfully loaded kernel `highlights_1f_lch_xtrans' (180) for device 0
0.548149 [opencl_create_kernel] successfully loaded kernel `highlights_4f_clip' (181) for device 0
0.550221 [opencl_create_kernel] successfully loaded kernel `nlmeans_init' (182) for device 0
0.550232 [opencl_create_kernel] successfully loaded kernel `nlmeans_dist' (183) for device 0
0.550237 [opencl_create_kernel] successfully loaded kernel `nlmeans_horiz' (184) for device 0
0.550241 [opencl_create_kernel] successfully loaded kernel `nlmeans_vert' (185) for device 0
0.550244 [opencl_create_kernel] successfully loaded kernel `nlmeans_accu' (186) for device 0
0.550249 [opencl_create_kernel] successfully loaded kernel `nlmeans_finish' (187) for device 0
0.551528 [opencl_create_kernel] successfully loaded kernel `colorout' (188) for device 0
0.552859 [opencl_create_kernel] successfully loaded kernel `relight' (189) for device 0
0.557043 [opencl_create_kernel] successfully loaded kernel `soften_overexposed' (190) for device 0
0.557054 [opencl_create_kernel] successfully loaded kernel `soften_hblur' (191) for device 0
0.557060 [opencl_create_kernel] successfully loaded kernel `soften_vblur' (192) for device 0
0.557064 [opencl_create_kernel] successfully loaded kernel `soften_mix' (193) for device 0
0.558350 [opencl_create_kernel] successfully loaded kernel `rawprepare_1f' (194) for device 0
0.558361 [opencl_create_kernel] successfully loaded kernel `rawprepare_1f_unnormalized' (195) for device 0
0.558368 [opencl_create_kernel] successfully loaded kernel `rawprepare_4f' (196) for device 0
0.559910 [opencl_create_kernel] successfully loaded kernel `profilegamma' (197) for device 0
0.559921 [opencl_create_kernel] successfully loaded kernel `profilegamma_log' (198) for device 0
0.564907 [opencl_create_kernel] successfully loaded kernel `whitebalance_4f' (199) for device 0
0.564919 [opencl_create_kernel] successfully loaded kernel `whitebalance_1f' (200) for device 0
0.564923 [opencl_create_kernel] successfully loaded kernel `whitebalance_1f_xtrans' (201) for device 0```

Claes · September 5, 2019, 11:50am

Good. Thank you.

Next step: open darktable preferences.
Under core options, go down to cpu / gpu / memory.
See to it that activate OpenCL support is active (selected).
Set OpenCL schedueling profile to default.

Close darktable. Open darktable.
Do you notice any difference?

zerosapte · September 5, 2019, 11:52am

@Claes Sigh… it’s not available.

Screenshot%20from%202019-09-05%2014-52-12

Claes · September 5, 2019, 12:23pm

Hm… What version of darktable are you using?

zerosapte · September 5, 2019, 12:28pm

@Claes 2.6.2, the most recent one I was able to find. (I did find a .deb of 2.7, but that always hung on starting up so I went back to 2.6.2)

pitbuster · September 5, 2019, 1:12pm

From the logs, it seems you don’t have OpenCL installed. I am assuming you are using Ubuntu with an Nvidia card, if so, install using

sudo apt-get install nvidia-opencl-dev

If not, please search for the instructions for you Linix distribution and video card.

Claes · September 5, 2019, 1:27pm

@pitbuster But look at his log at 0.278636:

He is using Pop!_OS.

zerosapte · September 5, 2019, 1:43pm

So what, then?

Do I still try what @pitbuster suggested?

afre · September 5, 2019, 1:56pm

@zerosapte I suggest you edit your post and place backticks to your error output so that the forum can add a scrollbar to it. On my small mobile screen, it takes at least 8 min to scroll up to the next post. E.g.,

```
error output
```

will be rendered like this, but with a scrollbar for longer output

error output

Daniel_Catalina · September 5, 2019, 2:12pm

You should use your distribution package manager and install the suggested package ‘nvidia-opencl-dev’. If your distribution is using the same package manager as specified (apt-get) then you can run the exact command specified above by pitbuster.

Entropy512 · September 5, 2019, 2:34pm

Strange thing is, in his logs it appears that darktable-cltest IS finding all of the required infrastructure.

So why isn’t darktable itself doing so?

I’d suggest:
darktable -d opencl -d perf

pitbuster · September 5, 2019, 2:52pm

Oh, my bad, I misread the log. But taking a step back, @zerosapte are you using a laptop with a dual video card (Nvidia Optimus)? If so, you should have to do some configuration to run darktable using the Nvidia card (using Optimus or nvidia-xrun, for example).