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Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
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Autres articles (92)
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MediaSPIP version 0.1 Beta
16 avril 2011, parMediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...) -
Les vidéos
21 avril 2011, parComme les documents de type "audio", Mediaspip affiche dans la mesure du possible les vidéos grâce à la balise html5 .
Un des inconvénients de cette balise est qu’elle n’est pas reconnue correctement par certains navigateurs (Internet Explorer pour ne pas le nommer) et que chaque navigateur ne gère en natif que certains formats de vidéos.
Son avantage principal quant à lui est de bénéficier de la prise en charge native de vidéos dans les navigateur et donc de se passer de l’utilisation de Flash et (...) -
Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
Sur d’autres sites (12770)
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ARM inline asm secrets
Although I generally recommend against using GCC inline assembly, preferring instead pure assembly code in separate files, there are occasions where inline is the appropriate solution. Should one, at a time like this, turn to the GCC documentation for guidance, one must be prepared for a degree of disappointment. As it happens, much of the inline asm syntax is left entirely undocumented. This article attempts to fill in some of the blanks for the ARM target.
Constraints
Each operand of an inline asm block is described by a constraint string encoding the valid representations of the operand in the generated assembly. For example the “r” code denotes a general-purpose register. In addition to the standard constraints, ARM allows a number of special codes, only some of which are documented. The full list, including a brief description, is available in the constraints.md file in the GCC source tree. The following table is an extract from this file consisting of the codes which are meaningful in an inline asm block (a few are only useful in the machine description itself).
f Legacy FPA registers f0-f7. t The VFP registers s0-s31. v The Cirrus Maverick co-processor registers. w The VFP registers d0-d15, or d0-d31 for VFPv3. x The VFP registers d0-d7. y The Intel iWMMX co-processor registers. z The Intel iWMMX GR registers. l In Thumb state the core registers r0-r7. h In Thumb state the core registers r8-r15. j A constant suitable for a MOVW instruction. (ARM/Thumb-2) b Thumb only. The union of the low registers and the stack register. I In ARM/Thumb-2 state a constant that can be used as an immediate value in a Data Processing instruction. In Thumb-1 state a constant in the range 0 to 255. J In ARM/Thumb-2 state a constant in the range -4095 to 4095. In Thumb-1 state a constant in the range -255 to -1. K In ARM/Thumb-2 state a constant that satisfies the I constraint if inverted. In Thumb-1 state a constant that satisfies the I constraint multiplied by any power of 2. L In ARM/Thumb-2 state a constant that satisfies the I constraint if negated. In Thumb-1 state a constant in the range -7 to 7. M In Thumb-1 state a constant that is a multiple of 4 in the range 0 to 1020. N Thumb-1 state a constant in the range 0 to 31. O In Thumb-1 state a constant that is a multiple of 4 in the range -508 to 508. Pa In Thumb-1 state a constant in the range -510 to +510 Pb In Thumb-1 state a constant in the range -262 to +262 Ps In Thumb-2 state a constant in the range -255 to +255 Pt In Thumb-2 state a constant in the range -7 to +7 G In ARM/Thumb-2 state a valid FPA immediate constant. H In ARM/Thumb-2 state a valid FPA immediate constant when negated. Da In ARM/Thumb-2 state a const_int, const_double or const_vector that can be generated with two Data Processing insns. Db In ARM/Thumb-2 state a const_int, const_double or const_vector that can be generated with three Data Processing insns. Dc In ARM/Thumb-2 state a const_int, const_double or const_vector that can be generated with four Data Processing insns. This pattern is disabled if optimizing for space or when we have load-delay slots to fill. Dn In ARM/Thumb-2 state a const_vector which can be loaded with a Neon vmov immediate instruction. Dl In ARM/Thumb-2 state a const_vector which can be used with a Neon vorr or vbic instruction. DL In ARM/Thumb-2 state a const_vector which can be used with a Neon vorn or vand instruction. Dv In ARM/Thumb-2 state a const_double which can be used with a VFP fconsts instruction. Dy In ARM/Thumb-2 state a const_double which can be used with a VFP fconstd instruction. Ut In ARM/Thumb-2 state an address valid for loading/storing opaque structure types wider than TImode. Uv In ARM/Thumb-2 state a valid VFP load/store address. Uy In ARM/Thumb-2 state a valid iWMMX load/store address. Un In ARM/Thumb-2 state a valid address for Neon doubleword vector load/store instructions. Um In ARM/Thumb-2 state a valid address for Neon element and structure load/store instructions. Us In ARM/Thumb-2 state a valid address for non-offset loads/stores of quad-word values in four ARM registers. Uq In ARM state an address valid in ldrsb instructions. Q In ARM/Thumb-2 state an address that is a single base register. Operand codes
Within the text of an inline asm block, operands are referenced as %0, %1 etc. Register operands are printed as rN, memory operands as [rN, #offset], and so forth. In some situations, for example with operands occupying multiple registers, more detailed control of the output may be required, and once again, an undocumented feature comes to our rescue.
Special code letters inserted between the % and the operand number alter the output from the default for each type of operand. The table below lists the more useful ones.
c An integer or symbol address without a preceding # sign B Bitwise inverse of integer or symbol without a preceding # L The low 16 bits of an immediate constant m The base register of a memory operand M A register range suitable for LDM/STM H The highest-numbered register of a pair Q The least significant register of a pair R The most significant register of a pair P A double-precision VFP register p The high single-precision register of a VFP double-precision register q A NEON quad register e The low doubleword register of a NEON quad register f The high doubleword register of a NEON quad register h A range of VFP/NEON registers suitable for VLD1/VST1 A A memory operand for a VLD1/VST1 instruction y S register as indexed D register, e.g. s5 becomes d2[1] -
Revision 45478 : Amélioration de la dernière évolution Saisies-CVT : l’API s’enrichit d’une ...
16 mars 2011, par rastapopoulos@… — LogAmélioration de la dernière évolution Saisies-CVT : l’API s’enrichit d’une fonction générique pour aller chercher les saisies d’un formulaire CVT. /* * Cherche la description des saisies d’un formulaire CVT dont on donne le nom * * @param string $form Nom du formulaire dont on cherche les saisies * (...)
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Stop doing this in your encoder comparisons
14 juin 2010, par Dark Shikari — UncategorizedI’ll do a more detailed post later on how to properly compare encoders, but lately I’ve seen a lot of people doing something in particular that demonstrates they have no idea what they’re doing.
PSNR is not a very good metric. But it’s useful for one thing : if every encoder optimizes for it, you can effectively measure how good those encoders are at optimizing for PSNR. Certainly this doesn’t tell you everything you want to know, but it can give you a good approximation of “how good the encoder is at optimizing for SOMETHING“. The hope is that this is decently close to the visual results. This of course can fail to be the case if one encoder has psy optimizations and the other does not.
But it only works to begin with if both encoders are optimized for PSNR. If one optimizes for, say, SSIM, and one optimizes for PSNR, comparing PSNR numbers is completely meaningless. If anything, it’s worse than meaningless — it will bias enormously towards the encoder that is tuned towards PSNR, for obvious reasons.
And yet people keep doing this.
They keep comparing x264 against other encoders which are tuned against PSNR. But they don’t tell x264 to also tune for PSNR (–tune psnr, it’s not hard !), and surprise surprise, x264 loses. Of course, these people never bother to actually look at the output ; if they did, they’d notice that x264 usually looks quite a bit better despite having lower PSNR.
This happens so often that I suspect this is largely being done intentionally in order to cheat in encoder comparisons. Or perhaps it’s because tons of people who know absolutely nothing about video coding insist on doing comparisons without checking their methodology. Whatever it is, it clearly demonstrates that the person doing the test doesn’t understand what PSNR is or why it is used.
Another victim of this is Theora Ptalarbvorm, which optimizes for SSIM at the expense of PSNR — an absolutely great decision for visual quality. And of course if you just blindly compare Ptalarbvorm (1.2) and Thusnelda (1.1), you’ll notice Ptalarbvorm has much lower PSNR ! Clearly, it must be a worse encoder, right ?
Stop doing this. And call out the people who insist on cheating.