![]() ![]() One can read up on the many schemes in Unix for making wild card selections, but all that is needed here is the asterisk. ORF files are displayed followed by a new $ sign prompt. ORF files? To do this, type ls -l *.ORF followed by return. But what about getting details for all the raw. (Note that commands are case-sensitive.) Or, one could type ls -i followed by space, drag in the icon for flower1.ORF from the Finder window, and then press return. For example, to list the directory details of a particular photo, say flower1.ORF, one could type in response to the $ sign, ls -l flower1.ORF, followed by return. This feature is important when batch processing lots of images. The ls command will now show in the Terminal window a list of the Beachwalk files that are also displayed in the Finder window.įinally, Unix commands often make use of wildcards when specifying file names. And in the Terminal window, type ls -l followed by Return. Now, in the Finder window navigate into the Beachwalk folder and see the list of the files displayed there. (cd is a Unix command to change directory.) Then drag the icon for the Beachwalk folder into the Terminal window and press Return. (Don’t navigate into Beachwalk yet, stay in the folder that contains Beachwalk.) Then in the Terminal window, in response to the $ sign, type cd followed by a space. Also open a Finder window and navigate to the folder that contains Beachwalk. ORF photos taken at the beach and downloaded from the camera. For example, suppose one has a folder called Beachwalk that stores several raw. Be sure that the Finder window and Terminal window are pointing to the same folder. Then press Return on the keyboard and the ls command’s result is soon displayed followed by a new $ prompt. The Terminal window now completes the command on its own by filling in the name of the file just dragged in. But rather than proceeding to type the file’s name, as one would have done in the past, now, from an adjacent Finder window, one can drag the file’s icon into the Terminal window. To inspect the directory listing of a particular file, say file.txt, in a Terminal window one types at the $ sign, ls -l, followed by a space. What’s new however, is the ability to run a Terminal window and a Finder window simultaneously, side by side. The command then returns with its result, and the CLI follows with a new prompt. In the Terminal window, one types a command in response to this prompt, followed by pressing Return on the keyboard. (Terminal is in the Utilities folder within the Applications folder.) Most of the once-familiar Unix commands are automatically available for use in a Terminal window. Opening a Terminal window returns one to the good ‘ol days of using a Unix workstation. #Exiftool producers field and country field proOI.Track on iPhone with iOS 11.4 HoudahGeo, Terminal, exiftool, Adobe Bridge, DxO Photolab and Preview on a MacBook Pro (Early 2015) running macOS Sierra (10.12.6)Įxiftool runs in a Terminal window and is used with a command-line interpreter (CLI). From this experience I came away with an appreciation of how hard it must be to create a DAM from scratch, and am more than willing to cut the makers of Luminar 2018 some slack if their product seems delayed. ![]() I invite readers to report any errors I may have made and to suggest alternative and perhaps easier ways to accomplish what this workflow achieves. I’ve written up my workflow notes in case someone might find them helpful. ![]() With this program I now automatically assign location data as keywords for Bridge and along the way, modify the image description’s field to show something useful instead of the default OLYMPUS DIGITAL CAMERA. #Exiftool producers field and country field how toSo I bit the bullet and spent some time learning how to use the program exiftool. ![]() But this procedure was tedious and obviously impossible for thousands of images. Once country, state and city were assigned as keywords, I could filter the images to display based on location using these keywords. At first I simply copied and pasted the location data from the HoudahGeo app into keyword list in Bridge. I discovered however, that Bridge does not recognize location data, making it impossible to filter the images to display on the basis of country, state and city. I also tried to use Adobe Bridge as my digital asset manager (DAM) to organize and keyword my images. I’ve long used the HoudahGeo app for geotagging and related topics. For the first time I felt I needed to get serious about digital asset management. I recently returned from a two-month trip to Africa and wound up with thousands of photos. ![]()
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