Fast Raw Viewer Serial Number: How to Get a Free Trial or a Discount Coupon

FastRawViewer is a software utility for both PCs and Macs that is specifically designed for efficient viewing of RAW and DNG images. Whether the software is used for the culling part of the photography workflow process, for technical analysis or basic corrections, FastRawViewer is not only capable of opening RAW files from virtually every known digital camera, but it also does it at an incredibly fast speed, as the name implies. Unlike many RAW image viewers, FastRawViewer does not just read embedded JPEG images from RAW files, but it also renders RAW files as a normal RAW processor would (such as Adobe Camera RAW, Lightroom, Aperture, etc). Being a non-destructive editor (meaning, it only reads RAW images and does not modify them in any way), FastRawViewer can be used effectively for picking, ranking keepers, and discarding problematic images before they are imported into a photo catalog.

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On top of this, post-processing software such as Lightroom and Aperture is far from being ideal for fast and efficient culling of images. Deleted photographs could still continue occupying space if not removed properly, and since photo catalogs utilize a database for storing information about images, it could get bloated over time, if not properly optimized. In short, one would be much better off by reducing the number of images before they are inserted into a photo catalog.

The Inspector panel shows you metadata and detailed information from a camera JPEG or RAW file. Read our guide, to learn more about adding metadata to your photos and different metadata categories. On a supported camera, the info page can reveal the serial number, shutter count, and other specifications.

Include a custom name for the camera based on the serial number. For example if you have two cameras, one with S/N 7104765 and another with 5462197 and you'd like images from the first camera to have "MyCamera" in the name and images from the second to have "JillsCamera". Note that the S/N Airnef uses is the one the camera reports via the wireless interface, which may have more or fewer digits than the S/N printed on the camera - you can view the serial number that Airnef uses in a download transfer report.Sample Output: MyCamera_DSC_1125.NEF, JillsCamera_DSC_2535.NEF--filenamespec @cameraserial@@replace7104765MyCamera@@replace5462197JillsCamera@_@filename@

--downloadhistory [skipfiles ignore clear]Controls how the file download history is handled for this invocation. Airnefcmd maintains a database of all files it has downloaded for a given camera model/serial number combination. Each file in the database is identified by the combination of its name, creation date, and size; these three elements together allow Airnef to guarantee against false positives/negatives of the history. The default 'skipfiles' will skip any file that is in the download history. 'ignore' will cause airnefcmd to ignore the download history for this invocation when deciding whether to download a given file - ie, it will download files even if they're in the download history. Note that the download history will still be updated for any files downloaded during 'ignore' invocations; this allows the history to be utilized on future invocations when 'ignore' is not specified. 'clear' will delete the entire download history for the connected camera model/serial number at the start of execution; the download history will still be updated for any files downloaded during the session.

--filenamespec spec and --dirnamespec spec (added in v1.1) Rename downloaded files using Airnef's renaming engine. Place spec in quotes if it contains any literal spaces. This can be applied to the filename and/or the directory (tree) where the file is stored. 'spec' contains your desired output name including optional specifiers, which offer the ability to insert dynamic data into the filename, such as the camera model, serial number, capture date, etc.. Each specifier is enclosed in @@ and can optionally include subscripts to only use a portion of the dynamic data and also options to change elements such as case. If you'd like preview/test your --dirnamespec and --filenamespec before attempting a download then use --action listfiles. The directory listing will show a preview of what the output directory/filename name will look like. Here is the full format of a specifier; everything after specifier name is optional:

--logginglevel [normal verbose debug]The verbosity level of logging for an airnefcmd session. Airnef outputs its messages both to the console (stdout/stderr) and to a pair of logging files, named airnefcmd-log-last.txt (log messages from most recent session) and airnefcmd-log-lifetime.txt (log messages from all sessions). 'normal' indicates that only important/useful informational messages will be logged. These include messages such as the connected model/serial number of the camera and information about each file downloaded/listed. 'verbose' includes some additional messages, useful for instance when you'd like more information about why a particular file was not downloaded. 'debug' will include all developer-level messages and debug information, including hex dumps of all MTP-IP communication between the airnefcmd and the camera. The default logging level is 'normal'.

---mtpobjcache [enabled writeonly readonly verify disabled] Controls the behavior of the MTP object info cache. Every file on the camera is represented by an MTP object that describes its attributes such as filename, date, size, type, etc.. Airnef retrieves the full list of object infos at the start of execution - this list is required to support the criteria filtering and date sorting features of the program. Some cameras take a long time to complete many MTP_OP_GetObjectInfo requests, accessing the media card for each request on-demand rather than using predictive read-ahead caching to anticipate the next MTP_OP_GetObjectInfo request. This can make repeated executions of airnefcmd slow. To avoid incurring this penalty for every invocation, airnefcmd caches the last list of object infos it obtained on a per model/serial number basis, storing the cache as a file in its local appdata directory. The default of 'enabled' enables the MTP object cache. The cache has mechanisms to ensure both the integrity and coherency of the cache, the latter of which requires algorithms to avoid cases where the cached copy of object infos can become stale relative to what's on the camera. The following options are used to verify and troubleshoot these mechanisms. 'writeonly' disables cache hits for this invocation but still enables writing the persistent cache file. 'readonly' enables cache hits for this invocation but disables updating th persistent cache file. 'verify' is the same as 'enabled' but will do a full coherency check of the cache - this involves performing a MTP_OP_GetObjectInfo for each object on the camera and verifying any cached copy against that information. 'disabled' will turn off the cache completely for this invocation.

--rtd_mtppollingmethod_newobjdetection [objllist numobjs] (added in v1.1)"rtd" prefix is short for "realtimedownload". Specifies the method used for detecting new objects on the camera when using the MTP polling method, which is the generic method used on cameras for which airnef doesn't support the camera's native event mechanism. Presently airnef only supports the Nikon event mechanism, so it uses the MTP polling method for Canon. The MTP polling method has two algorithms for detecting the possibility of new images in the camera - it can either check for a change in the object handle list or a change in the number of objects, the latter of which then requires retrieving the object handle list to establish which handles are new. The numobjs method would seem to be more efficient since it requires only retrieving a single 32-bit value from the camera - however the problem with this method is that there's a timing hole if the user deletes an image in-camera and then takes a new one in between one of our polling intervals - the object count will be the same and we'll fail to detect a new image (-1 for deleted image, +1 for new image). For this reason the default algorithm is objlist, which actually was found to execute faster on a Canon 6D than the object count algorithm. I left the numobjs algorithm in the code in case there is a camera model where the objlist method runs very slow.

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