0 lay camera hien tai

cap = cv2.VideoCapture(0)

khai bao diem bat dau thoi gian = 0

ptime = 0

khai bao font chu

font = cv2.FONT_HERSHEY_PLAIN folderPath = "Fingers" lst = os.listdir(folderPath) lst2 = [] for i in lst:

f de doi no thanh string {folderPath} / {i} de lay duong dan -> xu li cac anh lay

img = cv2.imread(f"{folderPath}/{i}")
lst2.append(img)
#print(f"{folderPath}/{i}")

print(lst2[0].shape)

khai bao bien de no phat hien

detector = htm.handDetector(detectionCon= int(0.5))

fingerID = [4,8,12,16,20] while True: ret, frame = cap.read()

w rong, h cao, c chanel

frame = detector.findHands(frame)
lmList = detector.findPosition(frame, draw=False)
#print(lmList)

#viet cho ngon dai
# chi khi phat hien ra khi no phat hien ra ban tay
if len(lmList)!=0:
    # ve hinh chu nhat hien so ngon tay
    cv2.rectangle(frame, (0, 200), (130, 400), (255, 255, 255), -1)

    # [2]: su dung theo chieu cao de so sanh
    # [8], [6]: diem cua ngon tro trong so do mediapipe

    fingers = []
    # viet cho ngon cai: (diem 4 nam ben trai hay phai)
    # [1]: chieu rong
    if lmList[fingerID[0]][1] < lmList[fingerID[0] - 1][1]:
        fingers.append(1)
    else:
        fingers.append(0)

    # viet cho ngon dai:
    for id in range(1,5):

        if lmList[fingerID[id]][2] < lmList[fingerID[id]-2][2]:
            fingers.append(1)
        else:
            fingers.append(0)

    soNgonTay = int(fingers.count(1))
    cv2.putText(frame, str(soNgonTay), (50, 310), font, 3, (0, 0, 0), 3)
    w, h, c = lst2[soNgonTay].shape
    frame[0:w, 0:h] = lst2[soNgonTay]

#fps so khung hinh tren 1 giay
# time.time() diem bat dau thoi gian
ctime = time.time()
fps = 1/(ctime - ptime)
ptime = ctime
#show fps len man hinh
cv2.putText(frame, f"FPS: {int(fps)}", (150,50), font, 2, (0,0,0), 3)

cv2.imshow("cam", frame)
if cv2.waitKey(1) == ord('f'):
    break

cap.release() cv2.destroyAllWindows()`

Eel-Aig-gYuh / Machine-Learning-Projects