- Imageranger face recognition how to#
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You can try the Docker image locally by running: docker-compose up -build To any service that supports Docker images.
Imageranger face recognition how to#
To make things easier, there's an example Dockerfile in this repo that shows how to run an app built withįace_recognition in a Docker container. Using it to a cloud hosting provider like Heroku or AWS. Since face_recognition depends on dlib which is written in C++, it can be tricky to deploy an app Please see this wiki page for more details.ĭeployment to Cloud Hosts (Heroku, AWS, etc)
Accuracy may vary between ethnic groups. Up children quite easy using the default comparison threshold of 0.6. The face recognition model is trained on adults and does not work very well on children. If you want to learn how face location and recognition work instead ofĭepending on a black box library, read my article. Covers how to automatically cluster photos based on who appears in each photo using unsupervised learning. Face clustering with Python by Adrian Rosebrock. Covers how to use this on a Raspberry Pi. Raspberry Pi Face Recognition by Adrian Rosebrock. Covers how to use face recognition in practice. 
Face recognition with OpenCV, Python, and deep learning by Adrian Rosebrock. Covers the algorithms and how they generally work. My article on how Face Recognition works: Modern Face Recognition with Deep Learning. Articles and Guides that cover face_recognition However, it requires some custom configuration to work with this library. Imageranger face recognition install#
If you want to create a standalone executable that can run without the need to install python or face_recognition, you can use PyInstaller. Train multiple images per person then recognize faces using a SVM.Recognize faces with a K-nearest neighbors classifier.Run a web service to recognize faces via HTTP (Requires Flask to be installed).
Recognize faces on a Raspberry Pi w/ camera. Recognize faces in a video file and write out new video file (Requires OpenCV to be installed). Recognize faces in live video using your webcam - Faster Version (Requires OpenCV to be installed). Recognize faces in live video using your webcam - Simple / Slower Version (Requires OpenCV to be installed). Compare faces by numeric face distance instead of only True/False matches. Identify and draw boxes around each person in a photo. Find and recognize unknown faces in a photograph based on photographs of known people. Identify specific facial features in a photograph. Blur all the faces in a live video using your webcam (Requires OpenCV to be installed). Find faces in batches of images w/ GPU (using deep learning). Find faces in a photograph (using deep learning). compare_faces(, unknown_face_encoding)Īll the examples are available here. # Now we can see the two face encodings are of the same person with `compare_faces`! results = face_recognition. Unknown_face_encoding = face_recognition. # my_face_encoding now contains a universal 'encoding' of my facial features that can be compared to any other picture of a face! unknown_picture = face_recognition. Import face_recognition picture_of_me = face_recognition. People and it tells you who is in each image: The folder of known people and the folder (or single image) with unknown Then in you simply run the command face_recognition, passing in 
Next, you need a second folder with the files you want to identify: There should be one image file for each person with theįiles named according to who is in the picture: The face_recognition command lets you recognize faces in a photograph orįirst, you need to provide a folder with one picture of each person youĪlready know.
Imageranger face recognition full#
face_detection - Find faces in a photograph or folder full for photographs. face_recognition - Recognize faces in a photograph or folder full for. When you install face_recognition, you get two simple command-line Imageranger face recognition download#
Download the pre-configured VM image (for VMware Player or VirtualBox). Installing a pre-configured Virtual Machine image Imageranger face recognition windows 10#
Windows 10 installation guide (dlib + face_recognition). While Windows isn't officially supported, helpful users have posted instructions on how to install this library: 
Pkg install graphics/py-face_recognition Installing on Windows Then, make sure you have cmake installed:įinally, install this module from pypi using pip3 (or pip2 for Python 2):
How to install dlib from source on macOS or Ubuntu. Installation Options: Installing on Mac or Linuxįirst, make sure you have dlib already installed with Python bindings: macOS or Linux (Windows not officially supported, but might work). User-contributed shared Jupyter notebook demo (not officially supported): Installation Requirements You can even use this library with other Python libraries to do real-time face recognition: load_image_file( "unknown.jpg")īiden_encoding = face_recognition. Import face_recognition known_image = face_recognition.
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