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I'm guessing that you don't just crop the image but you have other things you'll be doing with the images before and after they're cropped. So I guess it's worthwhile to take a look at scripting the cropping as well as those other tasks.

If you want to do a facial recognition based cropping, you might want to look at OpenCV. OpenCV has a feature detection algorithms and also includes a pretrained classifier for facial detection. You can write a face detection and cropping script in probably about 10 lines of python code: http://docs.opencv.org/trunk/doc/py_tutorials/py_objdetect/py_face_detection/py_face_detection.html.

  • OpenCV runs on Windows, Linux, Mac, even Android or iOS
  • Can do batch processing, it had binding for many popular scripting languages
  • Supports PNG and JPEG
  • as long as you already have a pretrained classifier for the feature you want to detect, you wouldn't even need to know how those black magic works
  • and if you have to, you canhave the option to train your own classifier if you have to detect other features

I'm guessing that you don't just crop the image but you have other things you'll be doing with the images before and after they're cropped. So I guess it's worthwhile to take a look at scripting the cropping as well as those other tasks.

If you want to do a facial recognition based cropping, you might want to look at OpenCV. OpenCV has a feature detection algorithms and also includes a pretrained classifier for facial detection. You can write a face detection and cropping script in probably about 10 lines of python code: http://docs.opencv.org/trunk/doc/py_tutorials/py_objdetect/py_face_detection/py_face_detection.html.

  • OpenCV runs on Windows, Linux, Mac
  • Can do batch processing, it had binding many popular scripting languages
  • Supports PNG and JPEG
  • as long as you already have a pretrained classifier for the feature you want to detect, you wouldn't even need to know how those black magic works
  • and if you have to, you can train your own classifier if you have to detect other features

I'm guessing that you don't just crop the image but you have other things you'll be doing with the images before and after they're cropped. So I guess it's worthwhile to take a look at scripting the cropping as well as those other tasks.

If you want to do a facial recognition based cropping, you might want to look at OpenCV. OpenCV has a feature detection algorithms and also includes a pretrained classifier for facial detection. You can write a face detection and cropping script in probably about 10 lines of python code: http://docs.opencv.org/trunk/doc/py_tutorials/py_objdetect/py_face_detection/py_face_detection.html.

  • OpenCV runs on Windows, Linux, Mac, even Android or iOS
  • Can do batch processing, it had binding for many popular scripting languages
  • Supports PNG and JPEG
  • as long as you already have a pretrained classifier for the feature you want to detect, you wouldn't even need to know how those black magic works
  • and if you have to, you have the option to train your own classifier
2 added 247 characters in body
source | link

I'm guessing that you don't just crop the image but you have other things you'll be doing with the images before and after they're cropped. So I guess it's worthwhile to take a look at scripting the cropping as well as those other tasks.

If you want to do a facial recognition based cropping, you might want to look at OpenCV. OpenCV has a feature detection algorithms and also includes a pretraining datapretrained classifier for facial detection. You can write a face detection and cropping script in probably about 10 lines of python code: http://docs.opencv.org/trunk/doc/py_tutorials/py_objdetect/py_face_detection/py_face_detection.html.

  • OpenCV runs on Windows, Linux, Mac
  • Can do batch processing, it had binding many popular scripting languages
  • Supports PNG and JPEG
  • as long as you already have a pretrained classifier for the feature you want to detect, you wouldn't even need to know how those black magic works
  • and if you have to, you can train your own classifier if you have to detect other features

I'm guessing that you don't just crop the image but you have other things you'll be doing with the images before and after they're cropped. So I guess it's worthwhile to take a look at scripting the cropping as well as those other tasks.

If you want to do a facial recognition based cropping, you might want to look at OpenCV. OpenCV has a feature detection algorithms and also includes a pretraining data for facial detection. You can write a face detection and cropping script in probably about 10 lines of python code: http://docs.opencv.org/trunk/doc/py_tutorials/py_objdetect/py_face_detection/py_face_detection.html.

  • OpenCV runs on Windows, Linux, Mac
  • Can do batch processing, it had binding many popular scripting languages
  • Supports PNG and JPEG

I'm guessing that you don't just crop the image but you have other things you'll be doing with the images before and after they're cropped. So I guess it's worthwhile to take a look at scripting the cropping as well as those other tasks.

If you want to do a facial recognition based cropping, you might want to look at OpenCV. OpenCV has a feature detection algorithms and also includes a pretrained classifier for facial detection. You can write a face detection and cropping script in probably about 10 lines of python code: http://docs.opencv.org/trunk/doc/py_tutorials/py_objdetect/py_face_detection/py_face_detection.html.

  • OpenCV runs on Windows, Linux, Mac
  • Can do batch processing, it had binding many popular scripting languages
  • Supports PNG and JPEG
  • as long as you already have a pretrained classifier for the feature you want to detect, you wouldn't even need to know how those black magic works
  • and if you have to, you can train your own classifier if you have to detect other features
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source | link

I'm guessing that you don't just crop the image but you have other things you'll be doing with the images before and after they're cropped. So I guess it's worthwhile to take a look at scripting the cropping as well as those other tasks.

If you want to do a facial recognition based cropping, you might want to look at OpenCV. OpenCV has a feature detection algorithms and also includes a pretraining data for facial detection. You can write a face detection and cropping script in probably about 10 lines of python code: http://docs.opencv.org/trunk/doc/py_tutorials/py_objdetect/py_face_detection/py_face_detection.html.

  • OpenCV runs on Windows, Linux, Mac
  • Can do batch processing, it had binding many popular scripting languages
  • Supports PNG and JPEG