I'm looking for a website to download haar cascades xml files from. It can be for any objects as long as its a properly working cascade.
I'm looking for a website to download haar cascades xml files from. It can be for any objects as long as its a properly working cascade.
If you're using opencv from python, you can use this code snippet to use the built-in haar cascades:
import os
import cv2
cv2_base_dir = os.path.dirname(os.path.abspath(cv2.__file__))
haar_model = os.path.join(cv2_base_dir, 'data/haarcascade_frontalface_default.xml')
The xml files can be accessed directly from cv2 like so
cv2.data.haarcascades
heres a more detialed example
face_cascade_name = cv2.data.haarcascades + 'haarcascade_frontalface_alt.xml'
face_cascade = cv2.CascadeClassifier()
if not face_cascade.load(cv2.samples.findFile(face_cascade_name)):
print("Error loading xml file")
exit(0)
You don't need to go to other websites to find the cascade classifier files. you just need to go to the opencv releases site. There download the appropriate release. then open the downloaded file. In there direct as followed : sources > data > haarcascades ; In that file you should find the all default haarcascade files.
Here's the direct link to download haar-cascade-files from github link:-
https://github.com/anaustinbeing/haar-cascade-files
Just, clone or download as zip to get all the haar cascade xml files
This is how I do it with git v2.25.0, also tested with v2.26.2. This trick doesn't work with v2.30.1
git clone --no-checkout --filter=tree:0 https://github.com/opencv/opencv
cd opencv
# requires git 2.25.x to 2.26.2
git sparse-checkout set data/haarcascades
You can use Docker to avoid installing a specific version of git
git clone --no-checkout --filter=tree:0 https://github.com/opencv/opencv
cd opencv
# requires git 2.25.x to 2.26.2
docker run --rm -it -v $PWD/:/code/ --workdir=/code/ alpine/git:v2.26.2 sparse-checkout set data/haarcascades
# bare minimum clone of opencv
$ git clone --no-checkout --filter=tree:0 https://github.com/opencv/opencv
...
Resolving deltas: 100% (529/529), done.
# Downloaded only ~7.3MB , takes ~3 seconds
# du = disk usage, -s = summary, -h = human-readable
$ du -sh opencv
7.3M opencv/
# Set target dir
$ cd opencv
$ git sparse-checkout set data/haarcascades
...
Updating files: 100% (17/17), done.
# Takes ~10 seconds, depending on your specs
# View downloaded files
$ du -sh data/haarcascades/
9.4M data/haarcascades/
$ ls data/haarcascades/
haarcascade_eye.xml haarcascade_frontalface_alt2.xml haarcascade_licence_plate_rus_16stages.xml haarcascade_smile.xml
haarcascade_eye_tree_eyeglasses.xml haarcascade_frontalface_alt_tree.xml haarcascade_lowerbody.xml haarcascade_upperbody.xml
haarcascade_frontalcatface.xml haarcascade_frontalface_default.xml haarcascade_profileface.xml
haarcascade_frontalcatface_extended.xml haarcascade_fullbody.xml haarcascade_righteye_2splits.xml
haarcascade_frontalface_alt.xml haarcascade_lefteye_2splits.xml haarcascade_russian_plate_number.xml