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GetID3 - Bloc informations de fichiers
9 avril 2013, par
Mis à jour : Mai 2013
Langue : français
Type : Image
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GetID3 - Boutons supplémentaires
9 avril 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Image
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Collections - Formulaire de création rapide
19 février 2013, par
Mis à jour : Février 2013
Langue : français
Type : Image
Autres articles (79)
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Organiser par catégorie
17 mai 2013, parDans MédiaSPIP, une rubrique a 2 noms : catégorie et rubrique.
Les différents documents stockés dans MédiaSPIP peuvent être rangés dans différentes catégories. On peut créer une catégorie en cliquant sur "publier une catégorie" dans le menu publier en haut à droite ( après authentification ). Une catégorie peut être rangée dans une autre catégorie aussi ce qui fait qu’on peut construire une arborescence de catégories.
Lors de la publication prochaine d’un document, la nouvelle catégorie créée sera proposée (...) -
Récupération d’informations sur le site maître à l’installation d’une instance
26 novembre 2010, parUtilité
Sur le site principal, une instance de mutualisation est définie par plusieurs choses : Les données dans la table spip_mutus ; Son logo ; Son auteur principal (id_admin dans la table spip_mutus correspondant à un id_auteur de la table spip_auteurs)qui sera le seul à pouvoir créer définitivement l’instance de mutualisation ;
Il peut donc être tout à fait judicieux de vouloir récupérer certaines de ces informations afin de compléter l’installation d’une instance pour, par exemple : récupérer le (...) -
Demande de création d’un canal
12 mars 2010, parEn fonction de la configuration de la plateforme, l’utilisateur peu avoir à sa disposition deux méthodes différentes de demande de création de canal. La première est au moment de son inscription, la seconde, après son inscription en remplissant un formulaire de demande.
Les deux manières demandent les mêmes choses fonctionnent à peu près de la même manière, le futur utilisateur doit remplir une série de champ de formulaire permettant tout d’abord aux administrateurs d’avoir des informations quant à (...)
Sur d’autres sites (8889)
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Developing MobyCAIRO
26 mai 2021, par Multimedia Mike — GeneralI recently published a tool called MobyCAIRO. The ‘CAIRO’ part stands for Computer-Assisted Image ROtation, while the ‘Moby’ prefix refers to its role in helping process artifact image scans to submit to the MobyGames database. The tool is meant to provide an accelerated workflow for rotating and cropping image scans. It works on both Windows and Linux. Hopefully, it can solve similar workflow problems for other people.
As of this writing, MobyCAIRO has not been tested on Mac OS X yet– I expect some issues there that should be easily solvable if someone cares to test it.
The rest of this post describes my motivations and how I arrived at the solution.
Background
I have scanned well in excess of 2100 images for MobyGames and other purposes in the past 16 years or so. The workflow looks like this :
Image workflow
It should be noted that my original workflow featured me manually rotating the artifact on the scanner bed in order to ensure straightness, because I guess I thought that rotate functions in image editing programs constituted dark, unholy magic or something. So my workflow used to be even more arduous :
I can’t believe I had the patience to do this for hundreds of scans
Sometime last year, I was sitting down to perform some more scanning and found myself dreading the oncoming tedium of straightening and cropping the images. This prompted a pivotal question :
Why can’t a computer do this for me ?
After all, I have always been a huge proponent of making computers handle the most tedious, repetitive, mind-numbing, and error-prone tasks. So I did some web searching to find if there were any solutions that dealt with this. I also consulted with some like-minded folks who have to cope with the same tedious workflow.
I came up empty-handed. So I endeavored to develop my own solution.
Problem Statement and Prior Work
I want to develop a workflow that can automatically rotate an image so that it is straight, and also find the most likely crop rectangle, uniformly whitening the area outside of the crop area (in the case of circles).As mentioned, I checked to see if any other programs can handle this, starting with my usual workhorse, Photoshop Elements. But I can’t expect the trimmed down version to do everything. I tried to find out if its big brother could handle the task, but couldn’t find a definitive answer on that. Nor could I find any other tools that seem to take an interest in optimizing this particular workflow.
When I brought this up to some peers, I received some suggestions, including an idea that the venerable GIMP had a feature like this, but I could not find any evidence. Further, I would get responses of “Program XYZ can do image rotation and cropping.” I had to tamp down on the snark to avoid saying “Wow ! An image editor that can perform rotation AND cropping ? What a game-changer !” Rotation and cropping features are table stakes for any halfway competent image editor for the last 25 or so years at least. I am hoping to find or create a program which can lend a bit of programmatic assistance to the task.
Why can’t other programs handle this ? The answer seems fairly obvious : Image editing tools are general tools and I want a highly customized workflow. It’s not reasonable to expect a turnkey solution to do this.
Brainstorming An Approach
I started with the happiest of happy cases— A disc that needed archiving (a marketing/press assets CD-ROM from a video game company, contents described here) which appeared to have some pretty clear straight lines :
My idea was to try to find straight lines in the image and then rotate the image so that the image is parallel to the horizontal based on the longest single straight line detected.
I just needed to figure out how to find a straight line inside of an image. Fortunately, I quickly learned that this is very much a solved problem thanks to something called the Hough transform. As a bonus, I read that this is also the tool I would want to use for finding circles, when I got to that part. The nice thing about knowing the formal algorithm to use is being able to find efficient, optimized libraries which already implement it.
Early Prototype
A little searching for how to perform a Hough transform in Python led me first to scikit. I was able to rapidly produce a prototype that did some basic image processing. However, running the Hough transform directly on the image and rotating according to the longest line segment discovered turned out not to yield expected results.
It also took a very long time to chew on the 3300×3300 raw image– certainly longer than I care to wait for an accelerated workflow concept. The key, however, is that you are apparently not supposed to run the Hough transform on a raw image– you need to compute the edges first, and then attempt to determine which edges are ‘straight’. The recommended algorithm for this step is the Canny edge detector. After applying this, I get the expected rotation :
The algorithm also completes in a few seconds. So this is a good early result and I was feeling pretty confident. But, again– happiest of happy cases. I should also mention at this point that I had originally envisioned a tool that I would simply run against a scanned image and it would automatically/magically make the image straight, followed by a perfect crop.
Along came my MobyGames comrade Foxhack to disabuse me of the hope of ever developing a fully automated tool. Just try and find a usefully long straight line in this :
Darn it, Foxhack…
There are straight edges, to be sure. But my initial brainstorm of rotating according to the longest straight edge looks infeasible. Further, it’s at this point that we start brainstorming that perhaps we could match on ratings badges such as the standard ESRB badges omnipresent on U.S. video games. This gets into feature detection and complicates things.
This Needs To Be Interactive
At this point in the effort, I came to terms with the fact that the solution will need to have some element of interactivity. I will also need to get out of my safe Linux haven and figure out how to develop this on a Windows desktop, something I am not experienced with.I initially dreamed up an impressive beast of a program written in C++ that leverages Windows desktop GUI frameworks, OpenGL for display and real-time rotation, GPU acceleration for image analysis and processing tricks, and some novel input concepts. I thought GPU acceleration would be crucial since I have a fairly good GPU on my main Windows desktop and I hear that these things are pretty good at image processing.
I created a list of prototyping tasks on a Trello board and made a decent amount of headway on prototyping all the various pieces that I would need to tie together in order to make this a reality. But it was ultimately slowgoing when you can only grab an hour or 2 here and there to try to get anything done.
Settling On A Solution
Recently, I was determined to get a set of old shareware discs archived. I ripped the data a year ago but I was blocked on the scanning task because I knew that would also involve tedious straightening and cropping. So I finally got all the scans done, which was reasonably quick. But I was determined to not manually post-process them.This was fairly recent, but I can’t quite recall how I managed to come across the OpenCV library and its Python bindings. OpenCV is an amazing library that provides a significant toolbox for performing image processing tasks. Not only that, it provides “just enough” UI primitives to be able to quickly create a basic GUI for your program, including image display via multiple windows, buttons, and keyboard/mouse input. Furthermore, OpenCV seems to be plenty fast enough to do everything I need in real time, just with (accelerated where appropriate) CPU processing.
So I went to work porting the ideas from the simple standalone Python/scikit tool. I thought of a refinement to the straight line detector– instead of just finding the longest straight edge, it creates a histogram of 360 rotation angles, and builds a list of lines corresponding to each angle. Then it sorts the angles by cumulative line length and allows the user to iterate through this list, which will hopefully provide the most likely straightened angle up front. Further, the tool allows making fine adjustments by 1/10 of an angle via the keyboard, not the mouse. It does all this while highlighting in red the straight line segments that are parallel to the horizontal axis, per the current candidate angle.
The tool draws a light-colored grid over the frame to aid the user in visually verifying the straightness of the image. Further, the program has a mode that allows the user to see the algorithm’s detected edges :
For the cropping phase, the program uses the Hough circle transform in a similar manner, finding the most likely circles (if the image to be processed is supposed to be a circle) and allowing the user to cycle among them while making precise adjustments via the keyboard, again, rather than the mouse.
Running the Hough circle transform is a significantly more intensive operation than the line transform. When I ran it on a full 3300×3300 image, it ran for a long time. I didn’t let it run longer than a minute before forcibly ending the program. Is this approach unworkable ? Not quite– It turns out that the transform is just as effective when shrinking the image to 400×400, and completes in under 2 seconds on my Core i5 CPU.
For rectangular cropping, I just settled on using OpenCV’s built-in region-of-interest (ROI) facility. I tried to intelligently find the best candidate rectangle and allow fine adjustments via the keyboard, but I wasn’t having much success, so I took a path of lesser resistance.
Packaging and Residual Weirdness
I realized that this tool would be more useful to a broader Windows-using base of digital preservationists if they didn’t have to install Python, establish a virtual environment, and install the prerequisite dependencies. Thus, I made the effort to figure out how to wrap the entire thing up into a monolithic Windows EXE binary. It is available from the project’s Github release page (another thing I figured out for the sake of this project !).The binary is pretty heavy, weighing in at a bit over 50 megabytes. You might advise using compression– it IS compressed ! Before I figured out the
--onefile
command for pyinstaller.exe, the generated dist/ subdirectory was 150 MB. Among other things, there’s a 30 MB FORTRAN BLAS library packaged in !Conclusion and Future Directions
Once I got it all working with a simple tkinter UI up front in order to select between circle and rectangle crop modes, I unleashed the tool on 60 or so scans in bulk, using the Windows forfiles command (another learning experience). I didn’t put a clock on the effort, but it felt faster. Of course, I was livid with proudness the whole time because I was using my own tool. I just wish I had thought of it sooner. But, really, with 2100+ scans under my belt, I’m just getting started– I literally have thousands more artifacts to scan for preservation.The tool isn’t perfect, of course. Just tonight, I threw another scan at MobyCAIRO. Just go ahead and try to find straight lines in this specimen :
I eventually had to use the text left and right of center to line up against the grid with the manual keyboard adjustments. Still, I’m impressed by how these computer vision algorithms can see patterns I can’t, highlighting lines I never would have guessed at.
I’m eager to play with OpenCV some more, particularly the video processing functions, perhaps even some GPU-accelerated versions.
The post Developing MobyCAIRO first appeared on Breaking Eggs And Making Omelettes.
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Screen capture (video screencast) with FFMPEG with very low FPS
20 septembre 2023, par jesusdaI recently changed PCs, I went from having an Intel Core i5 4460 with integrated graphics card to a Xeon E5 2678 v3 with AMD RADEON RX 550 graphics.


On paper, the new PC is on the order of 3 to 7 times more powerful than the old one and I can attest that this is the case in daily use, video and image editing etc. The advantage of having so many cores and threads available is palpable. In terms of games I haven't tried it because I'm not really a gamer and the few games I use are the typical free ones that come with Debian and some emulators that, honestly, already worked fine with the old PC.


However there is one task that brings me head over heels for its terrible performance : video screen capture.


With my old PC I was able to capture at over 60 fps at full screen while doing any task I needed to record.


Even with my lenovo thinkpad x230 I am able to capture screen at over 80fps with total fluency.


The command I have always used is :


ffmpeg -f x11grab -draw_mouse 1 -framerate 60 -video_size 1920x1200 -i :0.0+1680,0 -qscale 0 -pix_fmt yuv420p -c:v libx264 -preset medium -qp 0 -q:v 1 -s 1920x1200 -f matroska -threads 4 video.mkv



notes :


-video_size 1920x1200 -i :0.0+1680,0 y -s 1920x1200
are the dimensions and position of the region to capture (my right monitor).

Notice that I even used
-preset medium
and software encoding, so I got very good quality even with that parameter setting and without ever going below 60 fps.

What happens to me now ?


The equipment is unable to capture more than 20 fps which makes any video invalid, with frame drops and not even reach 30fps, which would be the minimum required.


In addition, it is quite noticeable the decrease in responsiveness of the PC as soon as I launch the command. That is, all that fluidity and smoothness that is appreciated when working normally, disappears and even moving a window from one side to another is rough and stumbling.


I have tried with different parameters of ffmpeg, to capture raw, without encoding.


I have tried saving the resulting video directly to RAM disk in order to avoid the possible bottleneck of writing to disk. It doesn't affect it at all.


So, does anyone have any suggestions as to at least where I can dig further to find a solution to the problem ?


Additional data, in case it helps :


$ → inxi
CPU: 12-Core Intel Xeon E5-2678 v3 (-MT MCP-)
speed/min/max: 1201/1200/3300 MHz Kernel: 5.10.0-0.bpo.4-amd64 x86_64
Up: 1d 6h 55m Mem: 6427.6/32012.4 MiB (20.1%)
Storage: 13.76 TiB (55.9% used) Procs: 433 Shell: bash 5.0.18 inxi: 3.0.32


$ → ffmpeg -v
ffmpeg version 4.1.6 Copyright (c) 2000-2020 the FFmpeg developers
 built with gcc 8 (Debian 8.3.0-6)
 configuration: --disable-decoder=amrnb --disable-decoder=libopenjpeg --disable-libopencv --disable-outdev=sdl2 --disable-podpages --disable-sndio --disable-stripping --enable-libaom --enable-avfilter --enable-avresample --enable-gcrypt --disable-gnutls --enable-openssl --enable-gpl --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libfdk-aac --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libilbc --enable-libkvazaar --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenh264 --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libx265 --enable-libzimg --enable-libxvid --enable-libzvbi --enable-nonfree --enable-opencl --enable-opengl --enable-postproc --enable-pthreads --enable-shared --enable-version3 --enable-libwebp --incdir=/usr/include/x86_64-linux-gnu --libdir=/usr/lib/x86_64-linux-gnu --prefix=/usr --toolchain=hardened --enable-frei0r --enable-chromaprint --enable-libx264 --enable-libiec61883 --enable-libdc1394 --enable-vaapi --enable-libmfx --enable-libvmaf --disable-altivec --shlibdir=/usr/lib/x86_64-linux-gnu
 libavutil 56. 22.100 / 56. 22.100
 libavcodec 58. 35.100 / 58. 35.100
 libavformat 58. 20.100 / 58. 20.100
 libavdevice 58. 5.100 / 58. 5.100
 libavfilter 7. 40.101 / 7. 40.101
 libavresample 4. 0. 0 / 4. 0. 0
 libswscale 5. 3.100 / 5. 3.100
 libswresample 3. 3.100 / 3. 3.100
 libpostproc 55. 3.100 / 55. 3.100



I have the free amdgpu drivers (not amdgpu-pro), but I activated OpenCL just in case.


I followed this tutorial.


$ → glxinfo | grep OpenGL
OpenGL vendor string: AMD
OpenGL renderer string: Radeon RX550/550 Series (POLARIS12, DRM 3.40.0, 5.10.0-0.bpo.4-amd64, LLVM 11.0.1)
OpenGL core profile version string: 4.6 (Core Profile) Mesa 20.3.4
OpenGL core profile shading language version string: 4.60
OpenGL core profile context flags: (none)
OpenGL core profile profile mask: core profile
OpenGL core profile extensions:
OpenGL version string: 4.6 (Compatibility Profile) Mesa 20.3.4
OpenGL shading language version string: 4.60
OpenGL context flags: (none)
OpenGL profile mask: compatibility profile
OpenGL extensions:
OpenGL ES profile version string: OpenGL ES 3.2 Mesa 20.3.4
OpenGL ES profile shading language version string: OpenGL ES GLSL ES 3.20
OpenGL ES profile extensions:





$ → clinfo
Number of platforms 1
 Platform Name Clover
 Platform Vendor Mesa
 Platform Version OpenCL 1.1 Mesa 20.3.4
 Platform Profile FULL_PROFILE
 Platform Extensions cl_khr_icd
 Platform Extensions function suffix MESA

 Platform Name Clover
Number of devices 1
 Device Name Radeon RX550/550 Series (POLARIS12, DRM 3.40.0, 5.10.0-0.bpo.4-amd64, LLVM 11.0.1)
 Device Vendor AMD
 Device Vendor ID 0x1002
 Device Version OpenCL 1.1 Mesa 20.3.4
 Driver Version 20.3.4
 Device OpenCL C Version OpenCL C 1.1
 Device Type GPU
 Device Profile FULL_PROFILE
 Device Available Yes
 Compiler Available Yes
 Max compute units 8
 Max clock frequency 1183MHz
 Max work item dimensions 3
 Max work item sizes 256x256x256
 Max work group size 256
 Preferred work group size multiple 64
 Preferred / native vector sizes
 char 16 / 16
 short 8 / 8
 int 4 / 4
 long 2 / 2
 half 0 / 0 (n/a)
 float 4 / 4
 double 2 / 2 (cl_khr_fp64)
 Half-precision Floating-point support (n/a)
 Single-precision Floating-point support (core)
 Denormals No
 Infinity and NANs Yes
 Round to nearest Yes
 Round to zero No
 Round to infinity No
 IEEE754-2008 fused multiply-add No
 Support is emulated in software No
 Correctly-rounded divide and sqrt operations No
 Double-precision Floating-point support (cl_khr_fp64)
 Denormals Yes
 Infinity and NANs Yes
 Round to nearest Yes
 Round to zero Yes
 Round to infinity Yes
 IEEE754-2008 fused multiply-add Yes
 Support is emulated in software No
 Address bits 64, Little-Endian
 Global memory size 3221225472 (3GiB)
 Error Correction support No
 Max memory allocation 1717986918 (1.6GiB)
 Unified memory for Host and Device No
 Minimum alignment for any data type 128 bytes
 Alignment of base address 32768 bits (4096 bytes)
 Global Memory cache type None
 Image support No
 Local memory type Local
 Local memory size 32768 (32KiB)
 Max number of constant args 16
 Max constant buffer size 67108864 (64MiB)
 Max size of kernel argument 1024
 Queue properties
 Out-of-order execution No
 Profiling Yes
 Profiling timer resolution 0ns
 Execution capabilities
 Run OpenCL kernels Yes
 Run native kernels No
 Device Extensions cl_khr_byte_addressable_store cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_fp64

NULL platform behavior
 clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) Clover
 clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [MESA]
 clCreateContext(NULL, ...) [default] Success [MESA]
 clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1)
 Platform Name Clover
 Device Name Radeon RX550/550 Series (POLARIS12, DRM 3.40.0, 5.10.0-0.bpo.4-amd64, LLVM 11.0.1)
 clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform
 clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (1)
 Platform Name Clover
 Device Name Radeon RX550/550 Series (POLARIS12, DRM 3.40.0, 5.10.0-0.bpo.4-amd64, LLVM 11.0.1)
 clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform
 clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No devices found in platform
 clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) Success (1)
 Platform Name Clover
 Device Name Radeon RX550/550 Series (POLARIS12, DRM 3.40.0, 5.10.0-0.bpo.4-amd64, LLVM 11.0.1)

ICD loader properties
 ICD loader Name OpenCL ICD Loader
 ICD loader Vendor OCL Icd free software
 ICD loader Version 2.2.12
 ICD loader Profile OpenCL 2.2



This would not be a tearing problem, as no tearing is visible when playing videos and the TearFree driver policy is enabled.


$ → xrandr --verbose | grep TearFree
 TearFree: on
 TearFree: on
 TearFree: on



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FFMPEG on Windows Server "Unknown encoder 'libfaac'" [duplicate]
18 novembre 2020, par JonathanI am doing this on a Windows server and is not already answered as per the other question on here on a Linux server.


Im using FFMPEG on a project handling video uploads and I keep getting an issue with Videos with AAC audio encoding.


I tried using aac and other aac encoders, but the windows version of FFMPEG says unknown encoders. I tried without setting an AudioCode so it might convert to native. But still the same.


Please see the log output below :


<pre>object(FFMpeg\Exception\RuntimeException)#35 (7) {
 ["message":protected]=>
 string(15) "Encoding failed"
 ["string":"Exception":private]=>
 string(0) ""
 ["code":protected]=>
 int(0)
 ["file":protected]=>
 string(108) "C:\inetpub\wwwroot\dev\ffmpeg-lib\ffmpeg-php\vendor\php-ffmpeg\php-ffmpeg\src\FFMpeg\Media\AbstractVideo.php"
 ["line":protected]=>
 int(106)
 ["trace":"Exception":private]=>
 array(1) {
 [0]=>
 array(5) {
 ["file"]=>
 string(45) "C:\inetpub\wwwroot\dev\ffmpeg-lib\process.php"
 ["line"]=>
 int(35)
 ["function"]=>
 string(4) "save"
 ["class"]=>
 string(26) "FFMpeg\Media\AbstractVideo"
 ["type"]=>
 string(2) "->"
 }
 }
 ["previous":"Exception":private]=>
 object(Alchemy\BinaryDriver\Exception\ExecutionFailureException)#43 (9) {
 ["command":protected]=>
 string(397) "C:\ffmpeg\bin\ffmpeg.exe -y -ss 00:00:17.00 -i "temp/temp_20201110-100656_1080p-220mb.mp4" -t 00:00:52.00 -threads 12 -vcodec libx264 -acodec libfaac -b:v 1000k -refs 6 -coder 1 -sc_threshold 40 -flags +loop -me_range 16 -subq 7 -i_qfactor 0.71 -qcomp 0.6 -qdiff 4 -trellis 1 -b:a 128k -pass 1 -passlogfile "W:/TempIIS\ffmpeg-passes5fabd88bb6b0912dmm/pass-5fabd88bb6c3b" "temp/20201111-122651.mp4""
 ["errorOutput":protected]=>
 string(2301) "ffmpeg version git-2020-08-31-4a11a6f Copyright (c) 2000-2020 the FFmpeg developers
 built with gcc 10.2.1 (GCC) 20200805
 configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libsrt --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libgsm --enable-librav1e --enable-libsvtav1 --disable-w32threads --enable-libmfx --enable-ffnvcodec --enable-cuda-llvm --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt --enable-amf
 libavutil 56. 58.100 / 56. 58.100
 libavcodec 58.101.101 / 58.101.101
 libavformat 58. 51.101 / 58. 51.101
 libavdevice 58. 11.101 / 58. 11.101
 libavfilter 7. 87.100 / 7. 87.100
 libswscale 5. 8.100 / 5. 8.100
 libswresample 3. 8.100 / 3. 8.100
 libpostproc 55. 8.100 / 55. 8.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'temp/temp_20201110-100656_1080p-220mb.mp4':
 Metadata:
 major_brand : mp42
 minor_version : 19529854
 compatible_brands: mp42isom
 creation_time : 2016-04-11T06:32:53.000000Z
 Duration: 00:02:25.98, start: 0.000000, bitrate: 13772 kb/s
 Stream #0:0(eng): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 128 kb/s (default)
 Metadata:
 creation_time : 2016-04-11T06:32:53.000000Z
 handler_name : Sound Media Handler
 Stream #0:1(eng): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1920x1080 [SAR 1:1 DAR 16:9], 13639 kb/s, 29.97 fps, 29.97 tbr, 30k tbn, 59.94 tbc (default)
 Metadata:
 creation_time : 2016-04-11T06:32:53.000000Z
 handler_name : Video Media Handler
 encoder : AVC Coding
Unknown encoder 'libfaac'
"
 ["message":protected]=>
 string(2750) "ffmpeg failed to execute command C:\ffmpeg\bin\ffmpeg.exe -y -ss 00:00:17.00 -i "temp/temp_20201110-100656_1080p-220mb.mp4" -t 00:00:52.00 -threads 12 -vcodec libx264 -acodec libfaac -b:v 1000k -refs 6 -coder 1 -sc_threshold 40 -flags +loop -me_range 16 -subq 7 -i_qfactor 0.71 -qcomp 0.6 -qdiff 4 -trellis 1 -b:a 128k -pass 1 -passlogfile "W:/TempIIS\ffmpeg-passes5fabd88bb6b0912dmm/pass-5fabd88bb6c3b" "temp/20201111-122651.mp4":

Error Output:

 ffmpeg version git-2020-08-31-4a11a6f Copyright (c) 2000-2020 the FFmpeg developers
 built with gcc 10.2.1 (GCC) 20200805
 configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libsrt --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libgsm --enable-librav1e --enable-libsvtav1 --disable-w32threads --enable-libmfx --enable-ffnvcodec --enable-cuda-llvm --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt --enable-amf
 libavutil 56. 58.100 / 56. 58.100
 libavcodec 58.101.101 / 58.101.101
 libavformat 58. 51.101 / 58. 51.101
 libavdevice 58. 11.101 / 58. 11.101
 libavfilter 7. 87.100 / 7. 87.100
 libswscale 5. 8.100 / 5. 8.100
 libswresample 3. 8.100 / 3. 8.100
 libpostproc 55. 8.100 / 55. 8.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'temp/temp_20201110-100656_1080p-220mb.mp4':
 Metadata:
 major_brand : mp42
 minor_version : 19529854
 compatible_brands: mp42isom
 creation_time : 2016-04-11T06:32:53.000000Z
 Duration: 00:02:25.98, start: 0.000000, bitrate: 13772 kb/s
 Stream #0:0(eng): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 128 kb/s (default)
 Metadata:
 creation_time : 2016-04-11T06:32:53.000000Z
 handler_name : Sound Media Handler
 Stream #0:1(eng): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1920x1080 [SAR 1:1 DAR 16:9], 13639 kb/s, 29.97 fps, 29.97 tbr, 30k tbn, 59.94 tbc (default)
 Metadata:
 creation_time : 2016-04-11T06:32:53.000000Z
 handler_name : Video Media Handler
 encoder : AVC Coding
Unknown encoder 'libfaac'
"
 ["string":"Exception":private]=>
 string(0) ""
 ["code":protected]=>
 int(0)
 ["file":protected]=>
 string(116) "C:\inetpub\wwwroot\dev\ffmpeg-lib\ffmpeg-php\vendor\alchemy\binary-driver\src\Alchemy\BinaryDriver\ProcessRunner.php"
 ["line":protected]=>
 int(95)
 ["trace":"Exception":private]=>
 array(5) {
 [0]=>
 array(5) {
 ["file"]=>
 string(116) "C:\inetpub\wwwroot\dev\ffmpeg-lib\ffmpeg-php\vendor\alchemy\binary-driver\src\Alchemy\BinaryDriver\ProcessRunner.php"
 ["line"]=>
 int(73)
 ["function"]=>
 string(18) "doExecutionFailure"
 ["class"]=>
 string(34) "Alchemy\BinaryDriver\ProcessRunner"
 ["type"]=>
 string(2) "->"
 }
 [1]=>
 array(5) {
 ["file"]=>
 string(117) "C:\inetpub\wwwroot\dev\ffmpeg-lib\ffmpeg-php\vendor\alchemy\binary-driver\src\Alchemy\BinaryDriver\AbstractBinary.php"
 ["line"]=>
 int(207)
 ["function"]=>
 string(3) "run"
 ["class"]=>
 string(34) "Alchemy\BinaryDriver\ProcessRunner"
 ["type"]=>
 string(2) "->"
 }
 [2]=>
 array(5) {
 ["file"]=>
 string(117) "C:\inetpub\wwwroot\dev\ffmpeg-lib\ffmpeg-php\vendor\alchemy\binary-driver\src\Alchemy\BinaryDriver\AbstractBinary.php"
 ["line"]=>
 int(136)
 ["function"]=>
 string(3) "run"
 ["class"]=>
 string(35) "Alchemy\BinaryDriver\AbstractBinary"
 ["type"]=>
 string(2) "->"
 }
 [3]=>
 array(5) {
 ["file"]=>
 string(108) "C:\inetpub\wwwroot\dev\ffmpeg-lib\ffmpeg-php\vendor\php-ffmpeg\php-ffmpeg\src\FFMpeg\Media\AbstractVideo.php"
 ["line"]=>
 int(96)
 ["function"]=>
 string(7) "command"
 ["class"]=>
 string(35) "Alchemy\BinaryDriver\AbstractBinary"
 ["type"]=>
 string(2) "->"
 }
 [4]=>
 array(5) {
 ["file"]=>
 string(45) "C:\inetpub\wwwroot\dev\ffmpeg-lib\process.php"
 ["line"]=>
 int(35)
 ["function"]=>
 string(4) "save"
 ["class"]=>
 string(26) "FFMpeg\Media\AbstractVideo"
 ["type"]=>
 string(2) "->"
 }
 }
 ["previous":"Exception":private]=>
 NULL
 }
}
</pre>


Output of ffmpeg -encoders


V..... a64multi Multicolor charset for Commodore 64 (codec a64_multi)
 V..... a64multi5 Multicolor charset for Commodore 64, extended with 5th color (colram) (codec a64_multi5)
 V..... alias_pix Alias/Wavefront PIX image
 V..... amv AMV Video
 V..... apng APNG (Animated Portable Network Graphics) image
 V..... asv1 ASUS V1
 V..... asv2 ASUS V2
 V..... libaom-av1 libaom AV1 (codec av1)
 V..... librav1e librav1e AV1 (codec av1)
 V..... libsvtav1 SVT-AV1(Scalable Video Technology for AV1) encoder (codec av1)
 V..... avrp Avid 1:1 10-bit RGB Packer
 V..X.. avui Avid Meridien Uncompressed
 V..... ayuv Uncompressed packed MS 4:4:4:4
 V..... bmp BMP (Windows and OS/2 bitmap)
 VF.... cfhd GoPro CineForm HD
 V..... cinepak Cinepak
 V..... cljr Cirrus Logic AccuPak
 V.S... vc2 SMPTE VC-2 (codec dirac)
 VFS... dnxhd VC3/DNxHD
 V..... dpx DPX (Digital Picture Exchange) image
 VFS... dvvideo DV (Digital Video)
 V.S... ffv1 FFmpeg video codec #1
 VF.... ffvhuff Huffyuv FFmpeg variant
 V..... fits Flexible Image Transport System
 V..... flashsv Flash Screen Video
 V..... flashsv2 Flash Screen Video Version 2
 V..... flv FLV / Sorenson Spark / Sorenson H.263 (Flash Video) (codec flv1)
 V..... gif GIF (Graphics Interchange Format)
 V..... h261 H.261
 V..... h263 H.263 / H.263-1996
 V.S... h263p H.263+ / H.263-1998 / H.263 version 2
 V..... libx264 libx264 H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 (codec h264)
 V..... libx264rgb libx264 H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 RGB (codec h264)
 V..... h264_amf AMD AMF H.264 Encoder (codec h264)
 V..... h264_mf H264 via MediaFoundation (codec h264)
 V..... h264_nvenc NVIDIA NVENC H.264 encoder (codec h264)
 V..... h264_qsv H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 (Intel Quick Sync Video acceleration) (codec h264)
 V..... nvenc NVIDIA NVENC H.264 encoder (codec h264)
 V..... nvenc_h264 NVIDIA NVENC H.264 encoder (codec h264)
 V..... hap Vidvox Hap
 V..... libx265 libx265 H.265 / HEVC (codec hevc)
 V..... nvenc_hevc NVIDIA NVENC hevc encoder (codec hevc)
 V..... hevc_amf AMD AMF HEVC encoder (codec hevc)
 V..... hevc_mf HEVC via MediaFoundation (codec hevc)
 V..... hevc_nvenc NVIDIA NVENC hevc encoder (codec hevc)
 V..... hevc_qsv HEVC (Intel Quick Sync Video acceleration) (codec hevc)
 VF.... huffyuv Huffyuv / HuffYUV
 V..... jpeg2000 JPEG 2000
 VF.... libopenjpeg OpenJPEG JPEG 2000 (codec jpeg2000)
 VF.... jpegls JPEG-LS
 VF.... ljpeg Lossless JPEG
 VF.... magicyuv MagicYUV video
 VFS... mjpeg MJPEG (Motion JPEG)
 V..... mjpeg_qsv MJPEG (Intel Quick Sync Video acceleration) (codec mjpeg)
 V.S... mpeg1video MPEG-1 video
 V.S... mpeg2video MPEG-2 video
 V..... mpeg2_qsv MPEG-2 video (Intel Quick Sync Video acceleration) (codec mpeg2video)
 V.S... mpeg4 MPEG-4 part 2
 V..... libxvid libxvidcore MPEG-4 part 2 (codec mpeg4)
 V..... msmpeg4v2 MPEG-4 part 2 Microsoft variant version 2
 V..... msmpeg4 MPEG-4 part 2 Microsoft variant version 3 (codec msmpeg4v3)
 V..... msvideo1 Microsoft Video-1
 V..... pam PAM (Portable AnyMap) image
 V..... pbm PBM (Portable BitMap) image
 V..... pcx PC Paintbrush PCX image
 V..... pgm PGM (Portable GrayMap) image
 V..... pgmyuv PGMYUV (Portable GrayMap YUV) image
 VF.... png PNG (Portable Network Graphics) image
 V..... ppm PPM (Portable PixelMap) image
 VF.... prores Apple ProRes
 VF.... prores_aw Apple ProRes (codec prores)
 VFS... prores_ks Apple ProRes (iCodec Pro) (codec prores)
 V..... qtrle QuickTime Animation (RLE) video
 V..... r10k AJA Kona 10-bit RGB Codec
 V..... r210 Uncompressed RGB 10-bit
 V..... rawvideo raw video
 V..... roqvideo id RoQ video (codec roq)
 V..... rpza QuickTime video (RPZA)
 V..... rv10 RealVideo 1.0
 V..... rv20 RealVideo 2.0
 V..... sgi SGI image
 V..... snow Snow
 V..... sunrast Sun Rasterfile image
 V..... svq1 Sorenson Vector Quantizer 1 / Sorenson Video 1 / SVQ1
 V..... targa Truevision Targa image
 V..... libtheora libtheora Theora (codec theora)
 VF.... tiff TIFF image
 VF.... utvideo Ut Video
 V..... v210 Uncompressed 4:2:2 10-bit
 V..... v308 Uncompressed packed 4:4:4
 V..... v408 Uncompressed packed QT 4:4:4:4
 V..... v410 Uncompressed 4:4:4 10-bit
 V..... libvpx libvpx VP8 (codec vp8)
 V..... libvpx-vp9 libvpx VP9 (codec vp9)
 V..... vp9_qsv VP9 video (Intel Quick Sync Video acceleration) (codec vp9)
 V..... libwebp_anim libwebp WebP image (codec webp)
 V..... libwebp libwebp WebP image (codec webp)
 V..... wmv1 Windows Media Video 7
 V..... wmv2 Windows Media Video 8
 V..... wrapped_avframe AVFrame to AVPacket passthrough
 V..... xbm XBM (X BitMap) image
 V..... xface X-face image
 V..... xwd XWD (X Window Dump) image
 V..... y41p Uncompressed YUV 4:1:1 12-bit
 V..... yuv4 Uncompressed packed 4:2:0
 VF.... zlib LCL (LossLess Codec Library) ZLIB
 V..... zmbv Zip Motion Blocks Video
 A..... aac AAC (Advanced Audio Coding)
 A..... aac_mf AAC via MediaFoundation (codec aac)
 A..... ac3 ATSC A/52A (AC-3)
 A..... ac3_fixed ATSC A/52A (AC-3) (codec ac3)
 A..... ac3_mf AC3 via MediaFoundation (codec ac3)
 A..... adpcm_adx SEGA CRI ADX ADPCM
 A..... adpcm_argo ADPCM Argonaut Games
 A..... g722 G.722 ADPCM (codec adpcm_g722)
 A..... g726 G.726 ADPCM (codec adpcm_g726)
 A..... g726le G.726 little endian ADPCM ("right-justified") (codec adpcm_g726le)
 A..... adpcm_ima_apm ADPCM IMA Ubisoft APM
 A..... adpcm_ima_qt ADPCM IMA QuickTime
 A..... adpcm_ima_ssi ADPCM IMA Simon & Schuster Interactive
 A..... adpcm_ima_wav ADPCM IMA WAV
 A..... adpcm_ms ADPCM Microsoft
 A..... adpcm_swf ADPCM Shockwave Flash
 A..... adpcm_yamaha ADPCM Yamaha
 A..... alac ALAC (Apple Lossless Audio Codec)
 A..... libopencore_amrnb OpenCORE AMR-NB (Adaptive Multi-Rate Narrow-Band) (codec amr_nb)
 A..... libvo_amrwbenc Android VisualOn AMR-WB (Adaptive Multi-Rate Wide-Band) (codec amr_wb)
 A..... aptx aptX (Audio Processing Technology for Bluetooth)
 A..... aptx_hd aptX HD (Audio Processing Technology for Bluetooth)
 A..... comfortnoise RFC 3389 comfort noise generator
 A..X.. dca DCA (DTS Coherent Acoustics) (codec dts)
 A..... eac3 ATSC A/52 E-AC-3
 A..... flac FLAC (Free Lossless Audio Codec)
 A..... g723_1 G.723.1
 A..... libgsm libgsm GSM (codec gsm)
 A..... libgsm_ms libgsm GSM Microsoft variant (codec gsm_ms)
 A..X.. mlp MLP (Meridian Lossless Packing)
 A..... mp2 MP2 (MPEG audio layer 2)
 A..... mp2fixed MP2 fixed point (MPEG audio layer 2) (codec mp2)
 A..... libtwolame libtwolame MP2 (MPEG audio layer 2) (codec mp2)
 A..... libmp3lame libmp3lame MP3 (MPEG audio layer 3) (codec mp3)
 A..... libshine libshine MP3 (MPEG audio layer 3) (codec mp3)
 A..... mp3_mf MP3 via MediaFoundation (codec mp3)
 A..... nellymoser Nellymoser Asao
 A..X.. opus Opus
 A..... libopus libopus Opus (codec opus)
 A..... pcm_alaw PCM A-law / G.711 A-law
 A..... pcm_dvd PCM signed 16|20|24-bit big-endian for DVD media
 A..... pcm_f32be PCM 32-bit floating point big-endian
 A..... pcm_f32le PCM 32-bit floating point little-endian
 A..... pcm_f64be PCM 64-bit floating point big-endian
 A..... pcm_f64le PCM 64-bit floating point little-endian
 A..... pcm_mulaw PCM mu-law / G.711 mu-law
 A..... pcm_s16be PCM signed 16-bit big-endian
 A..... pcm_s16be_planar PCM signed 16-bit big-endian planar
 A..... pcm_s16le PCM signed 16-bit little-endian
 A..... pcm_s16le_planar PCM signed 16-bit little-endian planar
 A..... pcm_s24be PCM signed 24-bit big-endian
 A..... pcm_s24daud PCM D-Cinema audio signed 24-bit
 A..... pcm_s24le PCM signed 24-bit little-endian
 A..... pcm_s24le_planar PCM signed 24-bit little-endian planar
 A..... pcm_s32be PCM signed 32-bit big-endian
 A..... pcm_s32le PCM signed 32-bit little-endian
 A..... pcm_s32le_planar PCM signed 32-bit little-endian planar
 A..... pcm_s64be PCM signed 64-bit big-endian
 A..... pcm_s64le PCM signed 64-bit little-endian
 A..... pcm_s8 PCM signed 8-bit
 A..... pcm_s8_planar PCM signed 8-bit planar
 A..... pcm_u16be PCM unsigned 16-bit big-endian
 A..... pcm_u16le PCM unsigned 16-bit little-endian
 A..... pcm_u24be PCM unsigned 24-bit big-endian
 A..... pcm_u24le PCM unsigned 24-bit little-endian
 A..... pcm_u32be PCM unsigned 32-bit big-endian
 A..... pcm_u32le PCM unsigned 32-bit little-endian
 A..... pcm_u8 PCM unsigned 8-bit
 A..... pcm_vidc PCM Archimedes VIDC
 A..... real_144 RealAudio 1.0 (14.4K) (codec ra_144)
 A..... roq_dpcm id RoQ DPCM
 A..X.. s302m SMPTE 302M
 A..... sbc SBC (low-complexity subband codec)
 A..X.. sonic Sonic
 A..X.. sonicls Sonic lossless
 A..... libspeex libspeex Speex (codec speex)
 A..X.. truehd TrueHD
 A..... tta TTA (True Audio)
 A..X.. vorbis Vorbis
 A..... libvorbis libvorbis (codec vorbis)
 A..... wavpack WavPack
 A..... libwavpack (codec wavpack)
 A..... wmav1 Windows Media Audio 1
 A..... wmav2 Windows Media Audio 2
 S..... ssa ASS (Advanced SubStation Alpha) subtitle (codec ass)
 S..... ass ASS (Advanced SubStation Alpha) subtitle
 S..... dvbsub DVB subtitles (codec dvb_subtitle)
 S..... dvdsub DVD subtitles (codec dvd_subtitle)
 S..... mov_text 3GPP Timed Text subtitle
 S..... srt SubRip subtitle (codec subrip)
 S..... subrip SubRip subtitle
 S..... text Raw text subtitle
 S..... webvtt WebVTT subtitle
 S..... xsub DivX subtitles (XSUB)