The ImageConverter is portable, you can use the program directly without an installation. Put the image name, capture time, aperture, shutter speed etc. Add camera information or other technical details as watermarks. Put a date stamp on your photos with uMark's EXIF watermarks. Additionally, we are collecting frequently asked question about the ImageConverter on the FAQ page for you. Add EXIF and other metadata as watermarks. Basically I just took that code and added in the little bit to batch-process stuff (instead of typing filenames) and then told it to crop and save instead of drawing a rectangle and displaying the picture. Download the ImageConverter for free in the download area for Windows and learn in the first steps how you can benefit from this application. That tutorial is far better at explaining everything than I am. Here's the tutorial I shamelessly adapted: With the above code set to 10 px padding to be dramatic, here's the source and result: Features Process a batch of files at once Automatic intelligent cropping User parameterized cropping Automatic and manual dust spot. jpg files in the folder and crop them based on the padding settings set in the python code. py file, "autocrop.py"or something, Then download and save this file and put it in the same directory as your images. Spending thousands of dollars to buy a copy of Photoshop to resize. To use the above script you need python and opencv installed (just google how to install opencv for your platform). The person in charge of uploading photos didnt have the right software to crop the images. Print "Found ".format(str(file),str(x)), image) Download the program to batch process a lot of photos in one go. The program supports both automatic intelligent cropping and user-parameterized cropping. ImBatch - Free batch image processing software for Windows. The tool has the ability to process a batch of files in one session and apply multiple actions to them at once. Gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) BatchCrop is an application that helps you crop, resize, and modify images easily. 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 cv2ĬascPath = "haarcascade_frontalface_default.xml"įaceCascade = cv2.CascadeClassifier(cascPath) Here's a solution using python and opencv:
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