Sunset in Kruger

by MrFrench

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7

Here's a solution using python and opencv: This will crop all the faces it finds in the jpeg photos in whatever folder you run it in, with the padding specified by the left, right, top, bottom variables: import cv2 import sys import glob cascPath = "haarcascade_frontalface_default.xml" # Create the haar cascade faceCascade = ...


5

There's already a similar question on the ExifTool forums. It can be done using two sequential ExifTool commands. First, make sure all the date to the same exiftool -datetimeoriginal="2015:02:22 00:00:00" DIR And then increment the time on each exiftool '-datetimeoriginal+<0:0:${filesequence}0' DIR


3

Open one picture in Develop mode Set the (relative) adjustment you want to one picture. Ctrl-Shift-C (Copy Settings) and check at least White Balance. Return to Grid view and select multiple pictures to which you want to apply the same relative adjustment. Press Ctrl-Shift-V (Paste Settings). Now all select images will have the relative White Balance ...


2

Photoshop scripts are the best way to achieve this I feel. Google "Photoshop scripts polaroid"....here's one I found that might just be what you're looking for - Polaroid Generator


2

Within Digital Photo Professional navigate to the folder containing your CR2 files. From the top menu click File > Batch Process... The "Batch settings" window will open. To choose where the output jpeg files will be saved click the "Browse..." button in the "Save folder" section. The "Browse For Folder" window will open, click the desired output folder to ...


2

In Lightroom there are various settings that come under the 'Lens correction' umbrella. The 'Enable Profile Corrections' flag will correct the image based on the type of lens it was taken with, so if you copy it from an image taken with a 10mm lens onto an image taken with a 20mm lens, it will correct the latter for distortions caused by the 20mm lens. If ...


2

There is a simple method to automate the process using Photoshop. It could be recorded as an action or scripted. Load all of the images into a stack and take the median of each pixel (there is a built in function to do this, might just be in Photoshop extended though). This should give you an image of just the background. Load up the first image and paste ...


2

JPEGmini. It's $20 for the full version, but you can trial it (as a test of quality) for free. The trial version (or, rather, the unactivated version) has a 20-image-per-day cap — no time bomb, though, so someone with different needs may never have to pay for it. The full version can recompress entire directories at a go. It'll take most large high-quality ...


2

Here is a modified version of Tomy's script. The differences: multiple raw extensions allowed remove jpg only if the pairs are in the same folder (avoid accidental removal of a jpg named like a raw file in an other folder) case insensitive # Script: remove_jpg_if_raw_exists.py # # Description: This script looks in all sub directories for # ...


2

As I don't have any extra photo editing programs I used iPhoto to do this. Open iPhoto with the option key held down. This gives you the option to create a new library. Create a temporary one somewhere where it will be easy to find and delete it later. Import all the Raw Pictures into the new library. Export them all in the required format. Quit and delete ...


2

Well, I didn't post my bash answer because the question specifically asked about a Windows solution, but since two other people did, here's what I came up with: for file in *.jpg do exiftool -DateTimeOriginal="1111:11:11 00:00:00" $file exiftool -DateTimeOriginal+="00:00:${file:6:4}0" $file done Avoids messing with the date command. :) Note that in ...


1

Since the best answers use non-Windows syntax, I will here post their code converted for Microsoft Windows. @StarGeek solution, very fast and simple: First set a base timestamp to all images: exiftool -datetimeoriginal="2015:01:01 12:00:00" DIR (DIR is the name of the folder containing all images.) Then assign incremental timestamps: exiftool ...


1

Try Irfanview. It is freeware (AFAIR) and has a very flexible batch renaming system. Other than that I would try writing a script, something along the lines of for X in $(seq -w 0 20) ; do plus=$(expr $X \* 10) exiftool -alldates+="0:0:0 0:0:$plus" image_$X.jpg done The first line creates a loop through the numbers in the file names that you have, ...


1

I am sure you know this, but for future readers, I should note that if you save only the JPEG, you lose nearly all capability to reprocess later. This is equivalent (in the film days) of keeping the print, but throwing away the negative. Recall that Lightroom does not 'import' your photos, it imports that data from your images. So its not actually copying ...


1

I think I have a good workaround. Of course a plugin for this task would still be the best. I did this with Lightroom 5. Add the photos you want to convert to the (empty!) Quick Collection and select them all. You could also just select the photos without adding them to any collection. But then it's VERY important that you don't (accidently) unselect any ...


1

I solved this by creating a Smart Collection matching the filenames. I just had to copy all JPG filenames into an editor, remove the .JPG, and replace linebreaks with simple spaces. To avoid collisions with other files in my catalog (since the filenames of my camera reset after 9999 photos) I also filtered by folder. Afterwards I could simply select all ...


1

if you look in the sips-Manpage there is no way to force exporting of 8 or 16 bit. That's the answer: there is no way to do this with sips. Is there any reason for using sips, instead of Lightroom or Aperture, which have great batch modes too?


1

Look for Phatch (Linux, Mac, Windows), it's exactly what you are looking for : http://photobatch.stani.be/download/index.html


1

You can do this fairly easily with the cross-platform free software ExifTool. It's even in in the FAQ: The -csv (comma separated values) option solves this dilemma by pre-extracting information from all input files, then producing a sorted list of available tag names as the first row of the output, and organizing the information into columns for ...



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