some corrections

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols

Road_safety/create_image.py

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+import cv2
+import numpy as numpy
+import os, time
+import dlib
+from imutils import face_utils
+from imutils.face_utils import FaceAligner
+
+detector = dlib.get_frontal_face_detector()
+shape_predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
+face_aligner = FaceAligner(shape_predictor, desiredFaceWidth=200)
+
+FACE_DIR = "images/"
+
+
+def create_folder(folder_name):
+    if not os.path.exists(folder_name):
+        os.mkdir(folder_name)
+
+
+def main():
+    create_folder(FACE_DIR)
+
+    # get beginning image number so that we can get a range for each person's image to be classified
+    while True:
+        init_img_no = input("Starting img no.: ")
+        try:
+            init_img_no = int(init_img_no)
+            break
+        except:
+            print("Starting img no should be integer...")
+            continue
+
+    img_no = init_img_no
+    cap = cv2.VideoCapture(0)
+    total_imgs = 10
+    while True:
+        ret, img = cap.read()
+        img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        faces = detector(img_gray)
+        if len(faces) == 1:
+            face = faces[0]
+            (x, y, w, h) = face_utils.rect_to_bb(face)
+            face_img = img_gray[y-50:y + h+100, x-50:x + w+100]
+            face_aligned = face_aligner.align(img, img_gray, face)
+
+            face_img = face_aligned
+            img_path = FACE_DIR +"/"+ str(img_no) + ".jpg"
+            cv2.imwrite(img_path, face_img)
+            cv2.rectangle(img, (x, y), (x + w, y + h), (255, 255, 0), 3)
+            cv2.imshow("aligned", face_img)
+            img_no += 1
+
+        cv2.imshow("Saving", img)
+        cv2.waitKey(1)
+        if img_no == init_img_no + total_imgs:
+            break
+
+    cap.release()
+
+
+main()