Try fixing opencv (#338)

* Try fixing opencv

* Add numpy

* Try without 3.11

* Different strategy

* Debug

* More debug

* Fix

* Another fix

* Remove call

* Fix

* Add missing file

* Final fix

* Try fixing tests

Author: DavidMStraub

.github/workflows/test.yml

@@ -9,22 +9,14 @@ on:
 jobs:
   build:
     runs-on: ubuntu-22.04
-    strategy:
-      matrix:
-        python-version: ['3.7', '3.8', '3.9', '3.10', '3.11']
     steps:
       - uses: actions/checkout@v2
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
-        with:
-          python-version: ${{ matrix.python-version }}
       - name: Install Ubuntu dependencies
-        run: sudo apt-get -y install gettext appstream pkg-config libcairo2-dev gir1.2-gtk-3.0 libgirepository1.0-dev libicu-dev
+        run: sudo apt-get -y install gettext appstream pkg-config libcairo2-dev gir1.2-gtk-3.0 libgirepository1.0-dev libicu-dev libopencv-dev python3-opencv python3-numpy gramps
       - name: Install Python dependencies
         run: |
           python -m pip install --upgrade pip wheel
-          pip install pycairo PyGObject pytest PyYAML jsonschema pyICU opencv-python celery[pytest]
-          python -m pip install git+https://github.com/gramps-project/gramps#egg=gramps
+          pip install pycairo PyGObject pytest PyYAML jsonschema pyICU celery[pytest]
           pip install .
           pip list
       - name: Test with pytest

gramps_webapi/api/image.py

@@ -25,6 +25,7 @@
 import os
 import tempfile
 from pathlib import Path
+from pkg_resources import resource_filename
 from typing import BinaryIO, Callable, List, Tuple
 
 import ffmpeg
@@ -220,8 +221,8 @@ def detect_faces(stream: BinaryIO) -> List[Tuple[float, float, float, float]]:
     file_bytes = np.asarray(bytearray(stream.read()), dtype=np.uint8)
     cv_image = cv2.imdecode(file_bytes, cv2.IMREAD_COLOR)
     cv_image = cv2.cvtColor(cv_image, cv2.COLOR_BGR2GRAY)
-    haarcascade_path = os.path.join(
-        cv2.data.haarcascades, "haarcascade_frontalface_default.xml"
+    haarcascade_path = resource_filename(
+        "gramps_webapi", "data/haarcascade_frontalface_default.xml"
     )
     cascade = cv2.CascadeClassifier(haarcascade_path)
     faces = cascade.detectMultiScale(cv_image, 1.1, 4)