st1

.gitignore

@@ -0,0 +1,2 @@
+lib
+lib64

app.py

@@ -1,4 +1,4 @@
-from flask import Flask, request, jsonify
+from flask import Flask, request, jsonify, render_template, send_from_directory, make_response
 from flask_cors import CORS
 import face_recognition
 import os
@@ -23,7 +23,7 @@ if os.path.exists(STUDENT_ENCODINGS_FILE):
 else:
     student_encodings = {}
 
-@app.route('/upload_images', methods=['POST'])
+@app.route('/upload', methods=['POST'])
 def upload_images():
     student_id = request.form.get('student_id')
     if 'images' not in request.files or not student_id:
@@ -33,6 +33,7 @@ def upload_images():
     encodings = []
 
     for image in images:
+        
         image_path = os.path.join(STUDENT_IMAGES_DIR, f"{student_id}_{image.filename}")
         image.save(image_path)
 
@@ -73,4 +74,4 @@ def recognize():
         return jsonify({"error": "No face found in the uploaded image"}), 400
 
 if __name__ == '__main__':
-    app.run(debug=True)
+    app.run(debug=True, host="0.0.0.0", port=5005)

app2.py

@@ -0,0 +1,80 @@
+from flask import Flask, request, jsonify, render_template, send_from_directory, make_response
+from flask_restful import Api, Resource
+import os
+import face_recognition
+from werkzeug.utils import secure_filename
+from PIL import Image
+import numpy as np
+
+app = Flask(__name__)
+api = Api(app)
+
+UPLOAD_FOLDER = 'upload'
+if not os.path.exists(UPLOAD_FOLDER):
+    os.makedirs(UPLOAD_FOLDER)
+
+app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
+
+# Helper function to save image
+def save_image(image, roll_number):
+    roll_number_folder = os.path.join(app.config['UPLOAD_FOLDER'], roll_number)
+    if not os.path.exists(roll_number_folder):
+        os.makedirs(roll_number_folder)
+    image_count = len(os.listdir(roll_number_folder)) + 1
+    image_path = os.path.join(roll_number_folder, f"{image_count}.jpg")
+    image.save(image_path)
+    return image_path
+
+# Helper function to load known faces
+def load_known_faces():
+    known_faces = []
+    known_roll_numbers = []
+    for roll_number in os.listdir(app.config['UPLOAD_FOLDER']):
+        roll_number_folder = os.path.join(app.config['UPLOAD_FOLDER'], roll_number)
+        for filename in os.listdir(roll_number_folder):
+            image_path = os.path.join(roll_number_folder, filename)
+            image = face_recognition.load_image_file(image_path)
+            encodings = face_recognition.face_encodings(image)
+            if encodings:
+                known_faces.append(encodings[0])
+                known_roll_numbers.append(roll_number)
+    return known_faces, known_roll_numbers
+
+class UploadImage(Resource):
+    def post(self):
+        roll_number = request.form['roll_number']
+        if 'image' not in request.files:
+            return jsonify({"error": "No image provided"}), 400
+        image = request.files['image']
+        filename = secure_filename(image.filename)
+        image = Image.open(image)
+        image_path = save_image(image, roll_number)
+        return jsonify({"message": f"Image saved as {image_path}"}), 200
+
+class RecognizeStudent(Resource):
+    def post(self):
+        if 'image' not in request.files:
+            return jsonify({"error": "No image provided"}), 400
+        image = request.files['image']
+        filename = secure_filename(image.filename)
+        image = face_recognition.load_image_file(image)
+        unknown_encodings = face_recognition.face_encodings(image)
+        if not unknown_encodings:
+            return jsonify({"error": "No faces found in the image"}), 400
+        unknown_encoding = unknown_encodings[0]
+        
+        known_faces, known_roll_numbers = load_known_faces()
+        results = face_recognition.compare_faces(known_faces, unknown_encoding)
+        
+        if True in results:
+            matched_index = results.index(True)
+            roll_number = known_roll_numbers[matched_index]
+            return jsonify({"roll_number": roll_number}), 200
+        else:
+            return jsonify({"error": "No matching student found"}), 404
+
+api.add_resource(UploadImage, '/upload')
+api.add_resource(RecognizeStudent, '/recognize')
+
+if __name__ == '__main__':
+    app.run(debug=True, host="0.0.0.0", port=5005)

app3.py

@@ -0,0 +1,84 @@
+from flask import Flask, request, jsonify, render_template, send_from_directory, make_response
+from flask_restful import Api, Resource
+import os
+import face_recognition
+from werkzeug.utils import secure_filename
+from PIL import Image
+import numpy as np
+
+app = Flask(__name__)
+api = Api(app)
+
+UPLOAD_FOLDER = 'upload'
+if not os.path.exists(UPLOAD_FOLDER):
+    os.makedirs(UPLOAD_FOLDER)
+
+app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
+
+# Helper function to save image
+def save_image(image, roll_number):
+    roll_number_folder = os.path.join(app.config['UPLOAD_FOLDER'], roll_number)
+    if not os.path.exists(roll_number_folder):
+        os.makedirs(roll_number_folder)
+    image_count = len(os.listdir(roll_number_folder)) + 1
+    image_path = os.path.join(roll_number_folder, f"{image_count}.jpg")
+    image.save(image_path)
+    return image_path
+
+# Helper function to load known faces
+def load_known_faces():
+    known_faces = []
+    known_roll_numbers = []
+    for roll_number in os.listdir(app.config['UPLOAD_FOLDER']):
+        roll_number_folder = os.path.join(app.config['UPLOAD_FOLDER'], roll_number)
+        for filename in os.listdir(roll_number_folder):
+            image_path = os.path.join(roll_number_folder, filename)
+            image = face_recognition.load_image_file(image_path)
+            encodings = face_recognition.face_encodings(image)
+            if encodings:
+                known_faces.append(encodings[0])
+                known_roll_numbers.append(roll_number)
+    return known_faces, known_roll_numbers
+
+@app.route('/')
+def index():
+    return render_template('./upload.html')
+
+class UploadImage(Resource):
+    def post(self):
+        roll_number = request.form['roll_number']
+        if 'image' not in request.files:
+            return jsonify({"error": "No image provided"}), 400
+        image = request.files['image']
+        filename = secure_filename(image.filename)
+        image = Image.open(image)
+        image_path = save_image(image, roll_number)
+        return jsonify({"message": f"Image saved as {image_path}"}), 200
+
+class RecognizeStudent(Resource):
+    def post(self):
+        if 'image' not in request.files:
+            return jsonify({"error": "No image provided"}), 400
+        image = request.files['image']
+        filename = secure_filename(image.filename)
+        image = face_recognition.load_image_file(image)
+        unknown_encodings = face_recognition.face_encodings(image)
+        if not unknown_encodings:
+            return jsonify({"error": "No faces found in the image"}), 400
+        unknown_encoding = unknown_encodings[0]
+        
+        known_faces, known_roll_numbers = load_known_faces()
+        results = face_recognition.compare_faces(known_faces, unknown_encoding)
+        
+        if True in results:
+            matched_index = results.index(True)
+            roll_number = known_roll_numbers[matched_index]
+            return jsonify({"roll_number": roll_number}), 200
+        else:
+            return jsonify({"error": "No matching student found"}), 404
+
+api.add_resource(UploadImage, '/upload')
+api.add_resource(RecognizeStudent, '/recognize')
+
+if __name__ == '__main__':
+    app.run(debug=True, host="0.0.0.0", port=5005)

app4.py

@@ -0,0 +1,93 @@
+import os
+from flask import Flask, request, jsonify
+import face_recognition
+import pickle
+from PIL import Image
+import numpy as np
+
+app = Flask(__name__)
+
+UPLOAD_FOLDER = 'student_roll/uploads/'
+FACE_DATA_FOLDER = 'student_roll/face_data/'
+
+os.makedirs(UPLOAD_FOLDER, exist_ok=True)
+os.makedirs(FACE_DATA_FOLDER, exist_ok=True)
+
+def convert_image_to_8bit_rgb(image_path):
+    with Image.open(image_path) as img:
+        if img.mode != 'RGB':
+            img = img.convert('RGB')
+        img = img.convert('RGB')  # Ensure conversion to 8-bit per channel
+        img_array = np.array(img)
+    return img_array
+
+@app.route('/upload', methods=['POST'])
+def upload_image():
+    if 'image' not in request.files:
+        return jsonify({"error": "No image part in the request"}), 400
+    
+    file = request.files['image']
+    if file.filename == '':
+        return jsonify({"error": "No selected file"}), 400
+    
+    student_roll = request.form.get('student_roll')
+    if not student_roll:
+        return jsonify({"error": "Student roll number is required"}), 400
+    
+    file_path = os.path.join(UPLOAD_FOLDER, f"{student_roll}.jpg")
+    file.save(file_path)
+    
+    try:
+        # Convert image to 8-bit RGB if necessary
+        image = convert_image_to_8bit_rgb(file_path)
+        face_encodings = face_recognition.face_encodings(image)
+        
+        if not face_encodings:
+            return jsonify({"error": "No face found in the image"}), 400
+        
+        face_data_path = os.path.join(FACE_DATA_FOLDER, f"{student_roll}.pkl")
+        with open(face_data_path, 'wb') as f:
+            pickle.dump(face_encodings[0], f)
+        
+        return jsonify({"message": "Image and face data uploaded successfully"}), 200
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+@app.route('/recognize_student', methods=['POST'])
+def recognize_student():
+    if 'image' not in request.files:
+        return jsonify({"error": "No image part in the request"}), 400
+    
+    file = request.files['image']
+    if file.filename == '':
+        return jsonify({"error": "No selected file"}), 400
+    
+    file_path = os.path.join(UPLOAD_FOLDER, "temp.jpg")
+    file.save(file_path)
+    
+    try:
+        # Convert image to 8-bit RGB if necessary
+        image = convert_image_to_8bit_rgb(file_path)
+        face_encodings = face_recognition.face_encodings(image)
+        
+        if not face_encodings:
+            return jsonify({"error": "No face found in the image"}), 400
+        
+        uploaded_face_encoding = face_encodings[0]
+        
+        # Load all stored face data
+        for face_data_file in os.listdir(FACE_DATA_FOLDER):
+            with open(os.path.join(FACE_DATA_FOLDER, face_data_file), 'rb') as f:
+                known_face_encoding = pickle.load(f)
+                matches = face_recognition.compare_faces([known_face_encoding], uploaded_face_encoding)
+                
+                if matches[0]:
+                    student_roll = os.path.splitext(face_data_file)[0]
+                    return jsonify({"student_roll": student_roll}), 200
+        
+        return jsonify({"error": "No matching student found"}), 404
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+if __name__ == '__main__':
+    app.run(debug=True, host="0.0.0.0", port=5005)

app5.py

@@ -0,0 +1,81 @@
+from flask import Flask, request, jsonify
+import os
+import face_recognition
+import pickle
+from werkzeug.utils import secure_filename
+
+app = Flask(__name__)
+app.config['UPLOAD_FOLDER'] = 'uploads/'
+app.config['STUDENT_DATA_FILE'] = 'students_data.pkl'
+
+if not os.path.exists(app.config['UPLOAD_FOLDER']):
+    os.makedirs(app.config['UPLOAD_FOLDER'])
+
+# Load or initialize student data
+if os.path.exists(app.config['STUDENT_DATA_FILE']):
+    with open(app.config['STUDENT_DATA_FILE'], 'rb') as f:
+        students_db = pickle.load(f)
+else:
+    students_db = {}
+
+def save_student_data():
+    with open(app.config['STUDENT_DATA_FILE'], 'wb') as f:
+        pickle.dump(students_db, f)
+
+@app.route('/upload', methods=['POST'])
+def upload_image():
+    if 'image' not in request.files or 'student_id' not in request.form:
+        return jsonify({'error': 'Image or student_id not provided'}), 400
+
+    image = request.files['image']
+    student_id = request.form['student_id']
+    filename = secure_filename(f"{student_id}_{image.filename}")
+    filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
+    image.save(filepath)
+
+    # Load the image file into a numpy array
+    image = face_recognition.load_image_file(filepath)
+    # Get the face encoding for the image
+    face_encodings = face_recognition.face_encodings(image)
+
+    if len(face_encodings) > 0:
+        # Assuming the first face found in the image is the correct one
+        students_db[student_id] = face_encodings[0]
+        save_student_data()
+        return jsonify({'message': 'Image uploaded and student registered successfully', 'student_id': student_id}), 200
+    else:
+        return jsonify({'error': 'No faces found in the image'}), 400
+
+@app.route('/recognize_image', methods=['POST'])
+def recognize_image():
+    if 'image' not in request.files:
+        return jsonify({'error': 'Image not provided'}), 400
+
+    image = request.files['image']
+    # Load the uploaded image file into a numpy array
+    unknown_image = face_recognition.load_image_file(image)
+    # Get the face encodings for the uploaded image
+    unknown_encodings = face_recognition.face_encodings(unknown_image)
+
+    if len(unknown_encodings) > 0:
+        unknown_encoding = unknown_encodings[0]
+        best_match_id = None
+        best_match_score = None
+
+        for student_id, known_encoding in students_db.items():
+            # Calculate the distance between the known encoding and the uploaded image encoding
+            distance = face_recognition.face_distance([known_encoding], unknown_encoding)[0]
+            # Convert distance to accuracy score (the closer the distance, the higher the accuracy)
+            accuracy_score = (1 - distance) * 100
+
+            if best_match_score is None or accuracy_score > best_match_score:
+                best_match_id = student_id
+                best_match_score = accuracy_score
+
+        if best_match_id:
+            return jsonify({'student_id': best_match_id, 'accuracy_score': best_match_score}), 200
+
+    return jsonify({'error': 'Student not recognized'}), 404
+
+if __name__ == '__main__':
+    app.run(debug=True, host="0.0.0.0", port=5005)

app6.py

@@ -0,0 +1,86 @@
+from flask import Flask, request, jsonify
+import os
+import face_recognition
+import pickle
+from werkzeug.utils import secure_filename
+from time import time
+
+app = Flask(__name__)
+app.config['UPLOAD_FOLDER'] = 'uploads/'
+app.config['STUDENT_DATA_FILE'] = 'students_data.pkl'
+
+if not os.path.exists(app.config['UPLOAD_FOLDER']):
+    os.makedirs(app.config['UPLOAD_FOLDER'])
+
+# Load or initialize student data
+if os.path.exists(app.config['STUDENT_DATA_FILE']):
+    with open(app.config['STUDENT_DATA_FILE'], 'rb') as f:
+        students_db = pickle.load(f)
+else:
+    students_db = {}
+
+def save_student_data():
+    with open(app.config['STUDENT_DATA_FILE'], 'wb') as f:
+        pickle.dump(students_db, f)
+
+@app.route('/upl', methods=['POST'])
+def upload_image():
+    if 'face' not in request.files or 'student_id' not in request.form:
+        return jsonify({'error': 'Image or student_id not provided'}), 400
+
+    image = request.files['face']
+    student_id = request.form['student_id']
+    timestamp = int(time())
+    filename = secure_filename(f"{timestamp}.jpg")
+    student_folder = os.path.join(app.config['UPLOAD_FOLDER'], student_id)
+    if not os.path.exists(student_folder):
+        os.makedirs(student_folder)
+    filepath = os.path.join(student_folder, filename)
+    image.save(filepath)
+
+    # Load the image file into a numpy array
+    image_array = face_recognition.load_image_file(filepath)
+    # Get the face encoding for the image
+    face_encodings = face_recognition.face_encodings(image_array)
+
+    if len(face_encodings) > 0:
+        # Assuming the first face found in the image is the correct one
+        students_db[student_id] = face_encodings[0]
+        save_student_data()
+        return jsonify({'message': 'Image uploaded and student registered successfully', 'student_id': student_id}), 200
+    else:
+        return jsonify({'error': 'No faces found in the image'}), 400
+
+@app.route('/rec', methods=['POST'])
+def recognize_image():
+    if 'image' not in request.files:
+        return jsonify({'error': 'Image not provided'}), 400
+
+    image = request.files['image']
+    # Load the uploaded image file into a numpy array
+    unknown_image = face_recognition.load_image_file(image)
+    # Get the face encodings for the uploaded image
+    unknown_encodings = face_recognition.face_encodings(unknown_image)
+
+    if len(unknown_encodings) > 0:
+        unknown_encoding = unknown_encodings[0]
+        best_match_id = None
+        best_match_score = None
+
+        for student_id, known_encoding in students_db.items():
+            # Calculate the distance between the known encoding and the uploaded image encoding
+            distance = face_recognition.face_distance([known_encoding], unknown_encoding)[0]
+            # Convert distance to accuracy score (the closer the distance, the higher the accuracy)
+            accuracy_score = (1 - distance) * 100
+
+            if best_match_score is None or accuracy_score > best_match_score:
+                best_match_id = student_id
+                best_match_score = accuracy_score
+
+        if best_match_id:
+            return jsonify({'student_id': best_match_id, 'accuracy_score': best_match_score}), 200
+
+    return jsonify({'error': 'Student not recognized'}), 404
+
+if __name__ == '__main__':
+    app.run(debug=True, host="0.0.0.0", port=5005)

bin/Activate.ps1

@@ -0,0 +1,247 @@
+<#
+.Synopsis
+Activate a Python virtual environment for the current PowerShell session.
+
+.Description
+Pushes the python executable for a virtual environment to the front of the
+$Env:PATH environment variable and sets the prompt to signify that you are
+in a Python virtual environment. Makes use of the command line switches as
+well as the `pyvenv.cfg` file values present in the virtual environment.
+
+.Parameter VenvDir
+Path to the directory that contains the virtual environment to activate. The
+default value for this is the parent of the directory that the Activate.ps1
+script is located within.
+
+.Parameter Prompt
+The prompt prefix to display when this virtual environment is activated. By
+default, this prompt is the name of the virtual environment folder (VenvDir)
+surrounded by parentheses and followed by a single space (ie. '(.venv) ').
+
+.Example
+Activate.ps1
+Activates the Python virtual environment that contains the Activate.ps1 script.
+
+.Example
+Activate.ps1 -Verbose
+Activates the Python virtual environment that contains the Activate.ps1 script,
+and shows extra information about the activation as it executes.
+
+.Example
+Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv
+Activates the Python virtual environment located in the specified location.
+
+.Example
+Activate.ps1 -Prompt "MyPython"
+Activates the Python virtual environment that contains the Activate.ps1 script,
+and prefixes the current prompt with the specified string (surrounded in
+parentheses) while the virtual environment is active.
+
+.Notes
+On Windows, it may be required to enable this Activate.ps1 script by setting the
+execution policy for the user. You can do this by issuing the following PowerShell
+command:
+
+PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
+
+For more information on Execution Policies: 
+https://go.microsoft.com/fwlink/?LinkID=135170
+
+#>
+Param(
+    [Parameter(Mandatory = $false)]
+    [String]
+    $VenvDir,
+    [Parameter(Mandatory = $false)]
+    [String]
+    $Prompt
+)
+
+<# Function declarations --------------------------------------------------- #>
+
+<#
+.Synopsis
+Remove all shell session elements added by the Activate script, including the
+addition of the virtual environment's Python executable from the beginning of
+the PATH variable.
+
+.Parameter NonDestructive
+If present, do not remove this function from the global namespace for the
+session.
+
+#>
+function global:deactivate ([switch]$NonDestructive) {
+    # Revert to original values
+
+    # The prior prompt:
+    if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) {
+        Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt
+        Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT
+    }
+
+    # The prior PYTHONHOME:
+    if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) {
+        Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME
+        Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME
+    }
+
+    # The prior PATH:
+    if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) {
+        Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH
+        Remove-Item -Path Env:_OLD_VIRTUAL_PATH
+    }
+
+    # Just remove the VIRTUAL_ENV altogether:
+    if (Test-Path -Path Env:VIRTUAL_ENV) {
+        Remove-Item -Path env:VIRTUAL_ENV
+    }
+
+    # Just remove VIRTUAL_ENV_PROMPT altogether.
+    if (Test-Path -Path Env:VIRTUAL_ENV_PROMPT) {
+        Remove-Item -Path env:VIRTUAL_ENV_PROMPT
+    }
+
+    # Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether:
+    if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) {
+        Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force
+    }
+
+    # Leave deactivate function in the global namespace if requested:
+    if (-not $NonDestructive) {
+        Remove-Item -Path function:deactivate
+    }
+}
+
+<#
+.Description
+Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the
+given folder, and returns them in a map.
+
+For each line in the pyvenv.cfg file, if that line can be parsed into exactly
+two strings separated by `=` (with any amount of whitespace surrounding the =)
+then it is considered a `key = value` line. The left hand string is the key,
+the right hand is the value.
+
+If the value starts with a `'` or a `"` then the first and last character is
+stripped from the value before being captured.
+
+.Parameter ConfigDir
+Path to the directory that contains the `pyvenv.cfg` file.
+#>
+function Get-PyVenvConfig(
+    [String]
+    $ConfigDir
+) {
+    Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg"
+
+    # Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue).
+    $pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue
+
+    # An empty map will be returned if no config file is found.
+    $pyvenvConfig = @{ }
+
+    if ($pyvenvConfigPath) {
+
+        Write-Verbose "File exists, parse `key = value` lines"
+        $pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath
+
+        $pyvenvConfigContent | ForEach-Object {
+            $keyval = $PSItem -split "\s*=\s*", 2
+            if ($keyval[0] -and $keyval[1]) {
+                $val = $keyval[1]
+
+                # Remove extraneous quotations around a string value.
+                if ("'""".Contains($val.Substring(0, 1))) {
+                    $val = $val.Substring(1, $val.Length - 2)
+                }
+
+                $pyvenvConfig[$keyval[0]] = $val
+                Write-Verbose "Adding Key: '$($keyval[0])'='$val'"
+            }
+        }
+    }
+    return $pyvenvConfig
+}
+
+
+<# Begin Activate script --------------------------------------------------- #>
+
+# Determine the containing directory of this script
+$VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition
+$VenvExecDir = Get-Item -Path $VenvExecPath
+
+Write-Verbose "Activation script is located in path: '$VenvExecPath'"
+Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)"
+Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)"
+
+# Set values required in priority: CmdLine, ConfigFile, Default
+# First, get the location of the virtual environment, it might not be
+# VenvExecDir if specified on the command line.
+if ($VenvDir) {
+    Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values"
+}
+else {
+    Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir."
+    $VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/")
+    Write-Verbose "VenvDir=$VenvDir"
+}
+
+# Next, read the `pyvenv.cfg` file to determine any required value such
+# as `prompt`.
+$pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir
+
+# Next, set the prompt from the command line, or the config file, or
+# just use the name of the virtual environment folder.
+if ($Prompt) {
+    Write-Verbose "Prompt specified as argument, using '$Prompt'"
+}
+else {
+    Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value"
+    if ($pyvenvCfg -and $pyvenvCfg['prompt']) {
+        Write-Verbose "  Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'"
+        $Prompt = $pyvenvCfg['prompt'];
+    }
+    else {
+        Write-Verbose "  Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virtual environment)"
+        Write-Verbose "  Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'"
+        $Prompt = Split-Path -Path $venvDir -Leaf
+    }
+}
+
+Write-Verbose "Prompt = '$Prompt'"
+Write-Verbose "VenvDir='$VenvDir'"
+
+# Deactivate any currently active virtual environment, but leave the
+# deactivate function in place.
+deactivate -nondestructive
+
+# Now set the environment variable VIRTUAL_ENV, used by many tools to determine
+# that there is an activated venv.
+$env:VIRTUAL_ENV = $VenvDir
+
+if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) {
+
+    Write-Verbose "Setting prompt to '$Prompt'"
+
+    # Set the prompt to include the env name
+    # Make sure _OLD_VIRTUAL_PROMPT is global
+    function global:_OLD_VIRTUAL_PROMPT { "" }
+    Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT
+    New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt
+
+    function global:prompt {
+        Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) "
+        _OLD_VIRTUAL_PROMPT
+    }
+    $env:VIRTUAL_ENV_PROMPT = $Prompt
+}
+
+# Clear PYTHONHOME
+if (Test-Path -Path Env:PYTHONHOME) {
+    Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME
+    Remove-Item -Path Env:PYTHONHOME
+}
+
+# Add the venv to the PATH
+Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH
+$Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH"

bin/activate

@@ -0,0 +1,69 @@
+# This file must be used with "source bin/activate" *from bash*
+# you cannot run it directly
+
+deactivate () {
+    # reset old environment variables
+    if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
+        PATH="${_OLD_VIRTUAL_PATH:-}"
+        export PATH
+        unset _OLD_VIRTUAL_PATH
+    fi
+    if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
+        PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
+        export PYTHONHOME
+        unset _OLD_VIRTUAL_PYTHONHOME
+    fi
+
+    # This should detect bash and zsh, which have a hash command that must
+    # be called to get it to forget past commands.  Without forgetting
+    # past commands the $PATH changes we made may not be respected
+    if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
+        hash -r 2> /dev/null
+    fi
+
+    if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
+        PS1="${_OLD_VIRTUAL_PS1:-}"
+        export PS1
+        unset _OLD_VIRTUAL_PS1
+    fi
+
+    unset VIRTUAL_ENV
+    unset VIRTUAL_ENV_PROMPT
+    if [ ! "${1:-}" = "nondestructive" ] ; then
+    # Self destruct!
+        unset -f deactivate
+    fi
+}
+
+# unset irrelevant variables
+deactivate nondestructive
+
+VIRTUAL_ENV="/data/p/p/kar/python_attendance_image"
+export VIRTUAL_ENV
+
+_OLD_VIRTUAL_PATH="$PATH"
+PATH="$VIRTUAL_ENV/bin:$PATH"
+export PATH
+
+# unset PYTHONHOME if set
+# this will fail if PYTHONHOME is set to the empty string (which is bad anyway)
+# could use `if (set -u; : $PYTHONHOME) ;` in bash
+if [ -n "${PYTHONHOME:-}" ] ; then
+    _OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}"
+    unset PYTHONHOME
+fi
+
+if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then
+    _OLD_VIRTUAL_PS1="${PS1:-}"
+    PS1="(python_attendance_image) ${PS1:-}"
+    export PS1
+    VIRTUAL_ENV_PROMPT="(python_attendance_image) "
+    export VIRTUAL_ENV_PROMPT
+fi
+
+# This should detect bash and zsh, which have a hash command that must
+# be called to get it to forget past commands.  Without forgetting
+# past commands the $PATH changes we made may not be respected
+if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
+    hash -r 2> /dev/null
+fi

bin/activate.csh

@@ -0,0 +1,26 @@
+# This file must be used with "source bin/activate.csh" *from csh*.
+# You cannot run it directly.
+# Created by Davide Di Blasi <davidedb@gmail.com>.
+# Ported to Python 3.3 venv by Andrew Svetlov <andrew.svetlov@gmail.com>
+
+alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; unsetenv VIRTUAL_ENV_PROMPT; test "\!:*" != "nondestructive" && unalias deactivate'
+
+# Unset irrelevant variables.
+deactivate nondestructive
+
+setenv VIRTUAL_ENV "/data/p/p/kar/python_attendance_image"
+
+set _OLD_VIRTUAL_PATH="$PATH"
+setenv PATH "$VIRTUAL_ENV/bin:$PATH"
+
+
+set _OLD_VIRTUAL_PROMPT="$prompt"
+
+if (! "$?VIRTUAL_ENV_DISABLE_PROMPT") then
+    set prompt = "(python_attendance_image) $prompt"
+    setenv VIRTUAL_ENV_PROMPT "(python_attendance_image) "
+endif
+
+alias pydoc python -m pydoc
+
+rehash

bin/activate.fish

@@ -0,0 +1,69 @@
+# This file must be used with "source <venv>/bin/activate.fish" *from fish*
+# (https://fishshell.com/); you cannot run it directly.
+
+function deactivate  -d "Exit virtual environment and return to normal shell environment"
+    # reset old environment variables
+    if test -n "$_OLD_VIRTUAL_PATH"
+        set -gx PATH $_OLD_VIRTUAL_PATH
+        set -e _OLD_VIRTUAL_PATH
+    end
+    if test -n "$_OLD_VIRTUAL_PYTHONHOME"
+        set -gx PYTHONHOME $_OLD_VIRTUAL_PYTHONHOME
+        set -e _OLD_VIRTUAL_PYTHONHOME
+    end
+
+    if test -n "$_OLD_FISH_PROMPT_OVERRIDE"
+        set -e _OLD_FISH_PROMPT_OVERRIDE
+        # prevents error when using nested fish instances (Issue #93858)
+        if functions -q _old_fish_prompt
+            functions -e fish_prompt
+            functions -c _old_fish_prompt fish_prompt
+            functions -e _old_fish_prompt
+        end
+    end
+
+    set -e VIRTUAL_ENV
+    set -e VIRTUAL_ENV_PROMPT
+    if test "$argv[1]" != "nondestructive"
+        # Self-destruct!
+        functions -e deactivate
+    end
+end
+
+# Unset irrelevant variables.
+deactivate nondestructive
+
+set -gx VIRTUAL_ENV "/data/p/p/kar/python_attendance_image"
+
+set -gx _OLD_VIRTUAL_PATH $PATH
+set -gx PATH "$VIRTUAL_ENV/bin" $PATH
+
+# Unset PYTHONHOME if set.
+if set -q PYTHONHOME
+    set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME
+    set -e PYTHONHOME
+end
+
+if test -z "$VIRTUAL_ENV_DISABLE_PROMPT"
+    # fish uses a function instead of an env var to generate the prompt.
+
+    # Save the current fish_prompt function as the function _old_fish_prompt.
+    functions -c fish_prompt _old_fish_prompt
+
+    # With the original prompt function renamed, we can override with our own.
+    function fish_prompt
+        # Save the return status of the last command.
+        set -l old_status $status
+
+        # Output the venv prompt; color taken from the blue of the Python logo.
+        printf "%s%s%s" (set_color 4B8BBE) "(python_attendance_image) " (set_color normal)
+
+        # Restore the return status of the previous command.
+        echo "exit $old_status" | .
+        # Output the original/"old" prompt.
+        _old_fish_prompt
+    end
+
+    set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV"
+    set -gx VIRTUAL_ENV_PROMPT "(python_attendance_image) "
+end

bin/f2py

@@ -0,0 +1,8 @@
+#!/data/p/p/kar/python_attendance_image/bin/python
+# -*- coding: utf-8 -*-
+import re
+import sys
+from numpy.f2py.f2py2e import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

bin/face_detection

@@ -0,0 +1,8 @@
+#!/data/p/p/kar/python_attendance_image/bin/python
+# -*- coding: utf-8 -*-
+import re
+import sys
+from face_recognition.face_detection_cli import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

bin/face_recognition

@@ -0,0 +1,8 @@
+#!/data/p/p/kar/python_attendance_image/bin/python
+# -*- coding: utf-8 -*-
+import re
+import sys
+from face_recognition.face_recognition_cli import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

bin/flask

@@ -0,0 +1,8 @@
+#!/data/p/p/kar/python_attendance_image/bin/python
+# -*- coding: utf-8 -*-
+import re
+import sys
+from flask.cli import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

bin/pip

@@ -0,0 +1,8 @@
+#!/data/p/p/kar/python_attendance_image/bin/python
+# -*- coding: utf-8 -*-
+import re
+import sys
+from pip._internal.cli.main import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

bin/pip3

@@ -0,0 +1,8 @@
+#!/data/p/p/kar/python_attendance_image/bin/python
+# -*- coding: utf-8 -*-
+import re
+import sys
+from pip._internal.cli.main import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

bin/pip3.10

@@ -0,0 +1,8 @@
+#!/data/p/p/kar/python_attendance_image/bin/python
+# -*- coding: utf-8 -*-
+import re
+import sys
+from pip._internal.cli.main import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

bin/python

@@ -0,0 +1 @@
+/usr/bin/python

bin/python3

@@ -0,0 +1 @@
+python

bin/python3.10

@@ -0,0 +1 @@
+python

pyvenv.cfg

@@ -0,0 +1,3 @@
+home = /usr/bin
+include-system-site-packages = false
+version = 3.10.12

requirements.txt

@@ -0,0 +1,5 @@
+flask-3.0.3
+Flask_Cors-4.0.1
+face_recognition-1.3.0
+numpy-1.26.4
+pickle5

templates/upload.html

@@ -0,0 +1,18 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <title>Upload Student Image</title>
+</head>
+<body>
+    <h1>Upload Student Image</h1>
+    <form action="/upload" method="post" enctype="multipart/form-data">
+        <label for="roll_number">Roll Number:</label>
+        <input type="text" id="roll_number" name="roll_number" required>
+        <br><br>
+        <label for="image">Select image:</label>
+        <input type="file" id="image" name="image" accept="image/*" required>
+        <br><br>
+        <input type="submit" value="Upload">
+    </form>
+</body>
+</html>

upload.py

@@ -0,0 +1,29 @@
+from flask import Flask, render_template, request, jsonify, make_response
+import os
+
+app = Flask(__name__)
+UPLOAD_FOLDER = 'uploads'
+app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
+
+@app.route('/')
+def upload_form():
+    return render_template('upload.html')
+
+@app.route('/upload', methods=['POST'])
+def upload_file():
+    folder_number = request.form['roll_number']
+    images = request.files.getlist('images[]')
+
+    folder_path = os.path.join(app.config['UPLOAD_FOLDER'], folder_number)
+    os.makedirs(folder_path, exist_ok=True)
+
+    for image in images:
+        if image.filename == '':
+            continue
+        filename = image.filename
+        image.save(os.path.join(folder_path, filename))
+
+    return make_response(jsonify('success'), 200)
+
+if __name__ == '__main__':
+    app.run(debug=True, host="0.0.0.0", port=5005)