intial

Maveric-k07 · Dec 18, 2021 · ec359cf · ec359cf
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diff --git a/.idea/.gitignore b/.idea/.gitignore
diff --git a/.idea/FaceRecognitionAttendance.iml b/.idea/FaceRecognitionAttendance.iml
diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml
diff --git a/.idea/misc.xml b/.idea/misc.xml
diff --git a/.idea/modules.xml b/.idea/modules.xml
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
diff --git a/AI/.idea/.gitignore b/AI/.idea/.gitignore
diff --git a/AI/.idea/FaceRecognitionAttendance.iml b/AI/.idea/FaceRecognitionAttendance.iml
diff --git a/AI/.idea/inspectionProfiles/profiles_settings.xml b/AI/.idea/inspectionProfiles/profiles_settings.xml
diff --git a/AI/.idea/misc.xml b/AI/.idea/misc.xml
diff --git a/AI/.idea/modules.xml b/AI/.idea/modules.xml
diff --git a/AI/.idea/vcs.xml b/AI/.idea/vcs.xml
diff --git a/AI/Attendance.csv b/AI/Attendance.csv
@@ -0,0 +1 @@
+Name,Time
diff --git a/AI/AttendanceProject.py b/AI/AttendanceProject.py
@@ -0,0 +1,73 @@
+
+import numpy as np
+import face_recognition
+import os
+from datetime import datetime
+import cv2
+
+path = 'ImagesBasic'
+images = []
+personName = []
+myList = os.listdir(path)
+
+for curImg in myList:
+    currentImage = cv2.imread(f'{path}/{curImg}')
+    images.append(currentImage)
+    personName.append(os.path.splitext(curImg)[0])
+print(personName)
+
+
+def faceEncodings(images):
+    encodeList = []
+    for img in images:
+        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+        encode = face_recognition.face_encodings(img)[0]
+        encodeList.append(encode)
+    return encodeList
+
+
+def markAttendance(name):
+    with open('Attendance.csv', 'r+') as f:
+        myDataList = f.readlines()
+        nameList = []
+        for line in myDataList:
+            entry = line.split(',')
+            nameList.append(entry[0])
+        if name not in nameList:
+            now = datetime.now()
+            dtString = now.strftime('%H:%M:%S')
+            f.writelines(f'\n{name}, {dtString}')
+
+
+encodeListKnown = faceEncodings(images)
+print("Encoding complete")
+
+cap = cv2.VideoCapture(0)
+
+while True:
+    success, img = cap.read()
+    imgS = cv2.resize(img, (0, 0), None, 0.25, 0.25)
+    imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
+
+    facesCurrent = face_recognition.face_locations(imgS)
+    encodeCurrent = face_recognition.face_encodings(imgS, facesCurrent)
+
+    for encodeFace, faceLoc in zip(encodeCurrent, facesCurrent):
+        matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
+        faceDistance = face_recognition.face_distance(
+            encodeListKnown, encodeFace)
+        # print(faceDistance)
+        matchIndex = np.argmin(faceDistance)
+
+        if matches[matchIndex]:
+            name = personName[matchIndex].upper()
+            # print(name)
+            y1, x2, y2, x1 = faceLoc
+            y1, x2, y2, x1 = y1*4, x2*4, y2*4, x1*4
+            cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)
+            cv2.rectangle(img, (x1, y2-35), (x2, y2), (0, 255, 0), cv2.FILLED)
+            cv2.putText(img, name, (x1+6, y2-6),
+                        cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
+            markAttendance(name)
+    cv2.imshow('Webcam', img)
+    cv2.waitKey(1)
diff --git a/AI/ImagesBasic/Akhileshwar.jpg b/AI/ImagesBasic/Akhileshwar.jpg
diff --git a/AI/ImagesBasic/Elon Musk.jpg b/AI/ImagesBasic/Elon Musk.jpg
diff --git a/AI/ImagesBasic/Elon Test.jpg b/AI/ImagesBasic/Elon Test.jpg
diff --git a/AI/ImagesBasic/Naveen.png b/AI/ImagesBasic/Naveen.png
diff --git a/AI/ImagesBasic/Obama.jpg b/AI/ImagesBasic/Obama.jpg
diff --git a/AI/ImagesBasic/samuel.jpg b/AI/ImagesBasic/samuel.jpg
diff --git a/Attendance links/2021-12-102021-12-30.csv b/Attendance links/2021-12-102021-12-30.csv
@@ -0,0 +1,9 @@
+Unnamed: 0,Unnamed: 0.1,name,roll_number,2021-12-10(1),2021-12-10(2),2021-12-10(3),2021-12-10(4),2021-12-11(1),2021-12-11(2),2021-12-11(3),2021-12-11(4),2021-12-13(1),2021-12-13(2),2021-12-13(3),2021-12-13(4),2021-12-14(1),2021-12-14(2),2021-12-14(3),2021-12-14(4),2021-12-15(1),2021-12-15(2),2021-12-15(3),2021-12-15(4),2021-12-16(1),2021-12-16(2),2021-12-16(3),2021-12-16(4),2021-12-17(1),2021-12-17(2),2021-12-17(3),2021-12-17(4),2021-12-18(1),2021-12-18(2),2021-12-18(3),2021-12-18(4),2021-12-20(1),2021-12-20(2),2021-12-20(3),2021-12-20(4),2021-12-21(1),2021-12-21(2),2021-12-21(3),2021-12-21(4),2021-12-22(1),2021-12-22(2),2021-12-22(3),2021-12-22(4),2021-12-23(1),2021-12-23(2),2021-12-23(3),2021-12-23(4),2021-12-24(1),2021-12-24(2),2021-12-24(3),2021-12-24(4),2021-12-25(1),2021-12-25(2),2021-12-25(3),2021-12-25(4),2021-12-27(1),2021-12-27(2),2021-12-27(3),2021-12-27(4),2021-12-28(1),2021-12-28(2),2021-12-28(3),2021-12-28(4),2021-12-29(1),2021-12-29(2),2021-12-29(3),2021-12-29(4),2021-12-30(1),2021-12-30(2),2021-12-30(3),2021-12-30(4),total_days
+0,0,Vincent Samuel,121, , , , , , , , , , ,   , , , , , ,H,H,H,H,H,H,H,H, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,71
+1,1,Matrix,1285285, , , , , , , , , , , , , , , , ,H,H,H,H,H,H,H,H, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,71
+2,2,fafafafa,fafafafefew, , , , , , , , , , , , , , , , ,H,H,H,H,H,H,H,H, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,71
+3,3,fafafaf232, db27676, , , , , , , , , , , , , , , , ,H,H,H,H,H,H,H,H, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,71
+4,4,faf2d1,31rf31ff, , , , , , , , , , , , , , , , ,H,H,H,H,H,H,H,H, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,71
+5,5,badrinath,fafafafefewaa, , , , , , , , , , , , , , , , ,H,H,H,H,H,H,H,H, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,71
+6,6,gfuafvgjahgfb auhjf,fnjafn aikjfjnakf, , , , , , , , , , , , , , , , ,H,H,H,H,H,H,H,H, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,71
+7,7,NAVEEN LINGALA,19dadadada, , , , ,p, , , , , , , , , , , ,H,H,H,H,H,H,H,H, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,71
diff --git a/Attendance links/2021-12-142022-01-01.csv b/Attendance links/2021-12-142022-01-01.csv
@@ -0,0 +1,10 @@
+,name,roll_number,2021-12-14(1),2021-12-14(2),2021-12-14(3),2021-12-15(1),2021-12-15(2),2021-12-15(3),2021-12-16(1),2021-12-16(2),2021-12-16(3),2021-12-17(1),2021-12-17(2),2021-12-17(3),2021-12-18(1),2021-12-18(2),2021-12-18(3),2021-12-20(1),2021-12-20(2),2021-12-20(3),2021-12-21(1),2021-12-21(2),2021-12-21(3),2021-12-22(1),2021-12-22(2),2021-12-22(3),2021-12-23(1),2021-12-23(2),2021-12-23(3),2021-12-24(1),2021-12-24(2),2021-12-24(3),2021-12-25(1),2021-12-25(2),2021-12-25(3),2021-12-27(1),2021-12-27(2),2021-12-27(3),2021-12-28(1),2021-12-28(2),2021-12-28(3),2021-12-29(1),2021-12-29(2),2021-12-29(3),2021-12-30(1),2021-12-30(2),2021-12-30(3),2021-12-31(1),2021-12-31(2),2021-12-31(3),2022-01-01(1),2022-01-01(2),2022-01-01(3),total_days
+0,Vincent Samuel,121, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,51
+1,Matrix,1285285, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,51
+2,fafafafa,fafafafefew, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,51
+3,fafafaf232, db27676, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,51
+4,faf2d1,31rf31ff, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,51
+5,badrinath,fafafafefewaa, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,51
+6,gfuafvgjahgfb auhjf,fnjafn aikjfjnakf, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,51
+7,NAVEEN LINGALA,19dadadada, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,51
+8,AKHIL,19D01A0540, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,51
diff --git a/DataBase.db b/DataBase.db
diff --git a/ImagesBasic/AKHIL.jpg b/ImagesBasic/AKHIL.jpg
diff --git a/ImagesBasic/NAVEEN LINGALA.png b/ImagesBasic/NAVEEN LINGALA.png
diff --git a/ImagesBasic/dkb.jpeg b/ImagesBasic/dkb.jpeg
diff --git a/THE Mavericks.pdf b/THE Mavericks.pdf
diff --git a/__pycache__/ai.cpython-37.pyc b/__pycache__/ai.cpython-37.pyc
diff --git a/__pycache__/ai.cpython-39.pyc b/__pycache__/ai.cpython-39.pyc
diff --git a/__pycache__/ai_img.cpython-37.pyc b/__pycache__/ai_img.cpython-37.pyc
diff --git a/__pycache__/ai_liv.cpython-37.pyc b/__pycache__/ai_liv.cpython-37.pyc
diff --git a/__pycache__/ai_liv.cpython-39.pyc b/__pycache__/ai_liv.cpython-39.pyc
diff --git a/__pycache__/ai_vid.cpython-37.pyc b/__pycache__/ai_vid.cpython-37.pyc
diff --git a/__pycache__/ai_vid.cpython-39.pyc b/__pycache__/ai_vid.cpython-39.pyc
diff --git a/__pycache__/ai_web_cam.cpython-37.pyc b/__pycache__/ai_web_cam.cpython-37.pyc
diff --git a/__pycache__/ai_web_cam.cpython-39.pyc b/__pycache__/ai_web_cam.cpython-39.pyc
diff --git a/__pycache__/forms.cpython-310.pyc b/__pycache__/forms.cpython-310.pyc
diff --git a/ai_img.py b/ai_img.py
@@ -0,0 +1,78 @@
+import numpy as np
+import face_recognition
+import os
+from datetime import datetime
+import cv2
+import pandas as pd
+pd.options.mode.chained_assignment = None
+
+
+def gen_frames_photo(file_name, csv_path, class_no):
+    ####
+    path = 'ImagesBasic'
+    ###
+    images = []
+    personName = []
+    myList = os.listdir(path)
+
+    for curImg in myList:
+        currentImage = cv2.imread(f'{path}/{curImg}')
+        images.append(currentImage)
+        personName.append(os.path.splitext(curImg)[0])
+    print(personName)
+
+    def faceEncodings(images):
+        encodeList = []
+        for img in images:
+            img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+            encode = face_recognition.face_encodings(img)[0]
+            encodeList.append(encode)
+        return encodeList
+
+    def markAttendance(name, csv_path):
+        #####
+        with open(csv_path, 'r+') as f:
+            myDataList = f.readlines()
+            nameList = []
+            for line in myDataList:
+                entry = line.split(',')
+                nameList.append(entry[0])
+            if name not in nameList:
+                now = datetime.now()
+                dtString = now.strftime('%H:%M:%S')
+                print(f'\n{name}, {dtString}')
+                attendance = pd.read_csv(csv_path)
+                idx = attendance["name"].tolist().index(name)
+                attendance[f'{datetime.now().date()}({class_no})'][idx] = 'p'
+                attendance.to_csv(path_or_buf=csv_path, index=False)
+
+    encodeListKnown = faceEncodings(images)
+    print("Encoding complete")
+
+    img = cv2.imread(file_name)
+    print(img)
+    imgS = cv2.resize(img, (0, 0), None, 0.25, 0.25)
+    imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
+
+    facesCurrent = face_recognition.face_locations(imgS)
+    encodeCurrent = face_recognition.face_encodings(imgS, facesCurrent)
+
+    for encodeFace, faceLoc in zip(encodeCurrent, facesCurrent):
+        matches = face_recognition.compare_faces(
+            encodeListKnown, encodeFace)
+        faceDistance = face_recognition.face_distance(
+            encodeListKnown, encodeFace)
+        # print(faceDistance)
+        matchIndex = np.argmin(faceDistance)
+
+        if matches[matchIndex]:
+            name = personName[matchIndex].upper()
+            # print(name)
+            y1, x2, y2, x1 = faceLoc
+            y1, x2, y2, x1 = y1*4, x2*4, y2*4, x1*4
+            cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)
+            cv2.rectangle(img, (x1, y2-35), (x2, y2),
+                          (0, 255, 0), cv2.FILLED)
+            cv2.putText(img, name, (x1+6, y2-6),
+                        cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
+            markAttendance(name, csv_path)
diff --git a/ai_vid.py b/ai_vid.py
@@ -0,0 +1,87 @@
+import numpy as np
+import face_recognition
+import os
+from datetime import datetime
+import cv2
+import pandas as pd
+pd.options.mode.chained_assignment = None
+
+
+def gen_frames_video(vid_name, csv_path, class_no):
+    ####
+    path = 'ImagesBasic'
+    ###
+    images = []
+    personName = []
+    myList = os.listdir(path)
+
+    for curImg in myList:
+        currentImage = cv2.imread(f'{path}/{curImg}')
+        images.append(currentImage)
+        personName.append(os.path.splitext(curImg)[0])
+    print(personName)
+
+    def faceEncodings(images):
+        encodeList = []
+        for img in images:
+            img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+            encode = face_recognition.face_encodings(img)[0]
+            encodeList.append(encode)
+        return encodeList
+
+    def markAttendance(name, csv_path):
+        #####
+        with open(csv_path, 'r+') as f:
+            myDataList = f.readlines()
+            nameList = []
+            for line in myDataList:
+                entry = line.split(',')
+                nameList.append(entry[0])
+            if name not in nameList:
+                now = datetime.now()
+                dtString = now.strftime('%H:%M:%S')
+                print(f'\n{name}, {dtString}')
+                attendance = pd.read_csv(csv_path)
+                idx = attendance["name"].tolist().index(name)
+                attendance[f'{datetime.now().date()}({class_no})'][idx] = 'p'
+                attendance.to_csv(path_or_buf=csv_path, index=False)
+
+    encodeListKnown = faceEncodings(images)
+    print("Encoding complete")
+
+    cap = cv2.VideoCapture(vid_name)
+
+    if (cap.isOpened() == False):
+        print("Error opening video stream or file")
+
+    while True:
+        try:
+            success, img = cap.read()
+            print(success)
+            imgS = cv2.resize(img, (0, 0), None, 0.25, 0.25)
+            imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
+
+            facesCurrent = face_recognition.face_locations(imgS)
+            encodeCurrent = face_recognition.face_encodings(imgS, facesCurrent)
+
+            for encodeFace, faceLoc in zip(encodeCurrent, facesCurrent):
+                matches = face_recognition.compare_faces(
+                    encodeListKnown, encodeFace)
+                faceDistance = face_recognition.face_distance(
+                    encodeListKnown, encodeFace)
+                # print(faceDistance)
+                matchIndex = np.argmin(faceDistance)
+
+                if matches[matchIndex]:
+                    name = personName[matchIndex].upper()
+                    # print(name)
+                    y1, x2, y2, x1 = faceLoc
+                    y1, x2, y2, x1 = y1*4, x2*4, y2*4, x1*4
+                    cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)
+                    cv2.rectangle(img, (x1, y2-35), (x2, y2),
+                                  (0, 255, 0), cv2.FILLED)
+                    cv2.putText(img, name, (x1+6, y2-6),
+                                cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
+                    markAttendance(name, csv_path)
+        except:
+            break