mciantyre/scipy-opencv-notebook Docker image
Note: OpenCV was built with only Python 3 bindings. Therefore, Python 2 notebooks cannot
docker pull mciantyre/scipy-opencv-notebook docker run -d -p 8888:8888 mciantyre/scipy-opencv-notebook
See jupyter/scipy-notebook for optional
localhost:8888 in any browser, and make your first Python 3 notebook! Here's a script to find a face in a picture that you upload:
%matplotlib inline import numpy as np import matplotlib.pyplot as plt import cv2 img = cv2.imread("your_uploaded_image.jpg") img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) plt.imshow(img) # shows face without box # If you need to find directories of data files, # open up a terminal window from the web interface and search from there # find /opt -iname *haar* face_cascade = cv2.CascadeClassifier('/opt/opencv/data/haarcascades/haarcascade_frontalface_default.xml') faces = face_cascade.detectMultiScale(img, 1.1, 3) for (x,y,w,h) in faces: cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) roi = img[y:y+h, x:x+w] plt.imshow(img) # shows the face with a box around it
Doesn't this exist?
In a few places! But, I wanted to make my own for practice.
Thanks to the jupyter/docker-stacks project and the Jupyter team, OpenCV, and Docker. Made for the University of Pittsburgh DesignHub.