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.gitignore

@@ -0,0 +1,160 @@
+# 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
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__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
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

Attendance/Attendance_25-02-2024.csv

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+NAME,TIME
+Manish,23:32-09
+Manish,23:32-45
+Manish,23:45-43
+Manish,23:46-48

Attendance/Attendance_26-02-2024.csv

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+NAME,TIME
+Manish,00:36-47
+Manish,10:53-49
+Manish,10:54-19
+Manish,10:55-27
+Manish,10:56-09

Attendance/Attendance_28-02-2024.csv

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+NAME,TIME
+Manish,21:24-07
+Manish,21:26-05
+Manish,21:54-42
+Manish,21:55-06
+Aman,21:57-47

LICENSE

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README.md

@@ -1,11 +1 @@
----
-title: Face Recognition
-emoji: 🏢
-colorFrom: indigo
-colorTo: indigo
-sdk: docker
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Face-Recognition

app.py

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+from sklearn.neighbors import KNeighborsClassifier
+import cv2
+import pickle
+import numpy as np
+import os
+import csv
+import time
+from datetime import datetime
+from flask import Flask, render_template, request
+
+
+from win32com.client import Dispatch
+
+def speak(str1):
+    speak=Dispatch(("SAPI.SpVoice"))
+    speak.Speak(str1)
+
+
+facedetect=cv2.CascadeClassifier('data/haarcascade_frontalface_default.xml')
+
+with open('data/names.pkl', 'rb') as w:
+    LABELS=pickle.load(w)
+with open('data/faces_data.pkl', 'rb') as f:
+    FACES=pickle.load(f)
+
+# print('Shape of Faces matrix --> ', FACES.shape)
+
+knn=KNeighborsClassifier(n_neighbors=5)
+knn.fit(FACES, LABELS)
+
+COL_NAMES = ['NAME', 'TIME']
+
+# def take_attendence():
+#     ret,frame=video.read()
+
+#     gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+#     faces=facedetect.detectMultiScale(gray, 1.3 ,5)
+
+#     for (x,y,w,h) in faces:
+#         crop_img=frame[y:y+h, x:x+w, :]
+#         resized_img=cv2.resize(crop_img, (50,50)).flatten().reshape(1,-1)
+#         output=knn.predict(resized_img)
+#         ts=time.time()
+#         date=datetime.fromtimestamp(ts).strftime("%d-%m-%Y")
+#         timestamp=datetime.fromtimestamp(ts).strftime("%H:%M-%S")
+#         exist=os.path.isfile("Attendance/Attendance_" + date + ".csv")
+#         cv2.rectangle(frame, (x,y), (x+w, y+h), (0,0,255), 1)
+#         cv2.rectangle(frame,(x,y),(x+w,y+h),(50,50,255),2)
+#         cv2.rectangle(frame,(x,y-40),(x+w,y),(50,50,255),-1)
+#         cv2.putText(frame, str(output[0]), (x,y-15), cv2.FONT_HERSHEY_COMPLEX, 1, (255,255,255), 1)
+#         cv2.rectangle(frame, (x,y), (x+w, y+h), (50,50,255), 1)
+#         attendance=[str(output[0]), str(timestamp)]
+
+#         speak("Attendance Taken..")
+
+#         if exist:
+#             with open("Attendance/Attendance_" + date + ".csv", "+a") as csvfile:
+#                 writer=csv.writer(csvfile)
+#                 writer.writerow(attendance)
+#             csvfile.close()
+#         else:
+#             with open("Attendance/Attendance_" + date + ".csv", "+a") as csvfile:
+#                 writer=csv.writer(csvfile)
+#                 writer.writerow(COL_NAMES)
+#                 writer.writerow(attendance)
+#             csvfile.close()
+#         # if k==ord('q'):
+#         #     break
+# # video.release()
+# # cv2.destroyAllWindows()
+
+
+
+app = Flask(__name__)
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/atten')
+def atten():
+    return render_template('atten.html')
+
+@app.route('/take_attendance', methods=['POST'])
+def take_attendance():
+    video=cv2.VideoCapture(0)
+    ret, frame = video.read()
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    faces = facedetect.detectMultiScale(gray, 1.3, 5)
+
+    for (x,y,w,h) in faces:
+        crop_img=frame[y:y+h, x:x+w, :]
+        resized_img=cv2.resize(crop_img, (50,50)).flatten().reshape(1,-1)
+        output=knn.predict(resized_img)
+        ts=time.time()
+        date=datetime.fromtimestamp(ts).strftime("%d-%m-%Y")
+        timestamp=datetime.fromtimestamp(ts).strftime("%H:%M-%S")
+        exist=os.path.isfile("Attendance/Attendance_" + date + ".csv")
+        cv2.rectangle(frame, (x,y), (x+w, y+h), (0,0,255), 1)
+        cv2.rectangle(frame,(x,y),(x+w,y+h),(50,50,255),2)
+        cv2.rectangle(frame,(x,y-40),(x+w,y),(50,50,255),-1)
+        cv2.putText(frame, str(output[0]), (x,y-15), cv2.FONT_HERSHEY_COMPLEX, 1, (255,255,255), 1)
+        cv2.rectangle(frame, (x,y), (x+w, y+h), (50,50,255), 1)
+        attendance=[str(output[0]), str(timestamp)]
+
+        speak("Attendance Taken..")
+
+        if exist:
+            with open("Attendance/Attendance_" + date + ".csv", "+a") as csvfile:
+                writer=csv.writer(csvfile)
+                writer.writerow(attendance)
+            csvfile.close()
+        else:
+            with open("Attendance/Attendance_" + date + ".csv", "+a") as csvfile:
+                writer=csv.writer(csvfile)
+                writer.writerow(COL_NAMES)
+                writer.writerow(attendance)
+            csvfile.close()
+    video.release()
+
+    return "Attendance taken successfully!"
+
+if __name__ == '__main__':
+    app.run(debug=True)

data/faces_data.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d567e4d0094de2d74c7ecad0b6184e6c15a1f00953756c7ee1efcda003a7b98
+size 1500162

data/names.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a528b09bb9db01e351cc59eed4aa6bbb4165308b4ac4023ca8264bf1da33431
+size 428

register_face.py

@@ -0,0 +1,56 @@
+import cv2
+import pickle
+import numpy as np
+import os
+video=cv2.VideoCapture(0)
+facedetect=cv2.CascadeClassifier('data/haarcascade_frontalface_default.xml')
+
+faces_data=[]
+
+i=0
+
+name=input("Enter Your Name: ")
+
+while True:
+    ret,frame=video.read()
+    gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    faces=facedetect.detectMultiScale(gray, 1.3 ,5)
+    for (x,y,w,h) in faces:
+        crop_img=frame[y:y+h, x:x+w, :]
+        resized_img=cv2.resize(crop_img, (50,50))
+        if len(faces_data)<=100 and i%10==0:
+            faces_data.append(resized_img)
+        i=i+1
+        cv2.putText(frame, str(len(faces_data)), (50,50), cv2.FONT_HERSHEY_COMPLEX, 1, (50,50,255), 1)
+        cv2.rectangle(frame, (x,y), (x+w, y+h), (50,50,255), 1)
+    cv2.imshow("Frame",frame)
+    k=cv2.waitKey(1)
+    if k==ord('q') or len(faces_data)==100:
+        break
+video.release()
+cv2.destroyAllWindows()
+
+faces_data=np.asarray(faces_data)
+faces_data=faces_data.reshape(100, -1)
+
+
+if 'names.pkl' not in os.listdir('data/'):
+    names=[name]*100
+    with open('data/names.pkl', 'wb') as f:
+        pickle.dump(names, f)
+else:
+    with open('data/names.pkl', 'rb') as f:
+        names=pickle.load(f)
+    names=names+[name]*100
+    with open('data/names.pkl', 'wb') as f:
+        pickle.dump(names, f)
+
+if 'faces_data.pkl' not in os.listdir('data/'):
+    with open('data/faces_data.pkl', 'wb') as f:
+        pickle.dump(faces_data, f)
+else:
+    with open('data/faces_data.pkl', 'rb') as f:
+        faces=pickle.load(f)
+    faces=np.append(faces, faces_data, axis=0)
+    with open('data/faces_data.pkl', 'wb') as f:
+        pickle.dump(faces, f)

requirements.txt

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+scikit-learn
+pandas
+numpy
+opencv-python
+pickle
+os
+time
+datetime
+flask

templates/index.html

@@ -0,0 +1,34 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <title>Take Attendance</title>
+</head>
+<body>
+    <h2>Click the Button to take Attendance</h2>
+    <img src="" alt="">
+    <form action="/take_attendance" method="post">
+        <input type="submit" value="Take Attendance" id="btn">
+    </form>
+</body>
+
+
+<style>
+    body {
+        font-family: Arial, Helvetica, sans-serif;
+        background-color: black;
+        color: white;
+        height: 500px;
+    }
+
+    input{
+        background-color: #00b2ff;
+        font-size: 1.2em;
+        border: none;
+        border-radius: 0.5em;
+        padding: 0.3em;
+        margin-left: 130px;
+
+    }
+</style>
+
+</html>

templates/index2.html

@@ -0,0 +1,24 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <title>Take Attendance</title>
+</head>
+<body>
+
+    <button id="openButton">Click the button to take attendance </button>
+
+    <script>
+        document.getElementById('openButton').addEventListener('click', function() {
+            window.open('/atten', 'About Page', 'width=500,height=400');
+        });
+    </script>
+
+    <style>
+        body {
+            font-family: Arial, Helvetica, sans-serif;
+            background-color: black;
+            color: white;
+        }
+    </style>
+</body>
+</html>