Merge branch 'master' into feature/add_stage_4.1

Author: jonathanrocher

.github/workflows/flake8.yml

@@ -0,0 +1,27 @@
+name: Flake8
+
+on:
+  pull_request
+
+jobs:
+  flake8:
+    strategy:
+      matrix:
+        os: [ubuntu-latest]
+        python-version: ['3.6']
+
+    runs-on: ${{ matrix.os }}
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v3
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install flake8
+      run: |
+        python -m pip install --upgrade pip
+        python -m pip install flake8
+    - name: Run flake8
+      run: |
+        python -m flake8

README.md

@@ -20,11 +20,12 @@ scalable applications, and package them into an installer.
 ### Requirements
 
 - Python 3.6+
+- scikits.image
+- Pillow
 - Pandas
 - matplotlib
 - traits
 - traitsui
-- scikits.image
 
 ### EDM users (recommended)
 First, download and install EDM from https://www.enthought.com/edm/. Then, run 
@@ -33,7 +34,7 @@ Python environment and install all dependencies in it:
 ```commandline
 edm env create ets_tutorial
 edm shell -e ets_tutorial
-edm install pandas matplotlib traits traitsui scikits.image
+edm install pandas matplotlib traits traitsui scikits.image pillow pyqt5 ipython
 ```
 
 ### Conda users
@@ -43,14 +44,15 @@ edm install pandas matplotlib traits traitsui scikits.image
 Assuming a Python environment is created and activated on your machine, for 
 example from https://www.python.org/, 
 ```commandline
-pip install pandas matplotlib traits traitsui scikits-image
+pip install pandas matplotlib traits traitsui scikits-image pillow pyqt5 ipython
 ```
 
 ## Getting help
 ### During the tutorial
 During the tutorial, don't hesitate to ask for help: 
 - ask questions if something isn't clear,
-- there will be a number of developers in the room who can help unblock you.
+- or just call out for individual support: there will be a number of developers 
+  in the room who can help unblock you.
 
 ### After the tutorial
 - This tutorial was recorded and can be watched [here]() [TODO]

sample_images/IMG-0311_xmas_2020.JPG

@@ -1,22 +1,34 @@
+""" Script analyzing an image, detecting human faces inside it, and printing
+EXIF data about it.
+"""
+import PIL.Image
+from PIL.ExifTags import TAGS
 from skimage import data
 from skimage.feature import Cascade
-
 import matplotlib.pyplot as plt
 from matplotlib import patches
+import sys
+from os.path import join
 
 # Load the trained file from the module root.
 trained_file = data.lbp_frontal_face_cascade_filename()
 
 # Initialize the detector cascade.
 detector = Cascade(trained_file)
 
-img = data.astronaut()
+if len(sys.argv) > 1:
+    image_path = sys.argv[1]
+else:
+    image_path = join("..", "sample_images", "IMG-0311_xmas_2020.JPG")
+    # image_path = join("..", "sample_images", "owls.jpg")
+
+img = plt.imread(image_path)
 
 detected = detector.detect_multi_scale(img=img,
                                        scale_factor=1.2,
                                        step_ratio=1,
                                        min_size=(60, 60),
-                                       max_size=(123, 123))
+                                       max_size=(600, 600))
 
 plt.imshow(img)
 img_desc = plt.gca()
@@ -35,4 +47,11 @@
         )
     )
 
+img = PIL.Image.open(image_path)
+
+data = {TAGS[k]: v for k, v in img._getexif().items() if k in TAGS}
+data["Number of faces detected"] = len(detected)
+
+print(data)
+
 plt.show()

sample_images/owls.jpg

@@ -0,0 +1 @@
+# Hello world in ETS pyface!

stage0_starting_script/face_detect_skimage.py

@@ -0,0 +1,2 @@
+
+__version__ = "0.0.1"

stage4.0_first_application/README.md

@@ -0,0 +1,28 @@
+# coding=utf-8
+""" TaskApplication object for the Pycasa app.
+"""
+import logging
+
+from pyface.tasks.api import TasksApplication, TaskFactory
+from ..ui.tasks.hello_world_task import HelloWorldTask
+
+logger = logging.getLogger(__name__)
+
+
+class PycasaApplication(TasksApplication):
+    """ An application to say hello.
+    """
+    id = "pycasa_application"
+
+    name = "Pycasa"
+
+    description = "An example Tasks application that explores image files."
+
+    def _task_factories_default(self):
+        return [
+            TaskFactory(
+                id='pycasa.hello_world_task',
+                name="Hello World Editor",
+                factory=HelloWorldTask
+            )
+        ]

stage4.0_first_application/pycasa/__init__.py

@@ -0,0 +1,11 @@
+
+from pycasa.app.app import PycasaApplication
+
+
+def main():
+    app = PycasaApplication()
+    app.run()
+
+
+if __name__ == '__main__':
+    main()