Kazier
1.0.0
Kaizer เป็นแพ็คเกจที่ครอบคลุมสำหรับการตรวจจับใบหน้าการติดตามด้วยมือการประเมินท่าทางและอื่น ๆ โดยใช้ MediaPipe มันถูกออกแบบมาเพื่อให้การพัฒนาโครงการของคุณง่ายขึ้น
คุณสามารถติดตั้งแพ็คเกจโดยใช้ PIP:
pip install kaizerfrom KAZIER import FaceDetector
import cv2
cap = cv2.VideoCapture(0)
detector = FaceDetector ()
while True:
success, img = cap.read ()
if not success:
break
img, bboxs = detector.find_faces(img)
if bboxs:
for _, bbox, _ in bboxs:
img = detector.imp_draw(img, bbox)
print( " Bounding boxes: " , bboxs)
img, faces = detector.find_face_mesh(img)
if faces:
print(f " Number of faces detected: {len(faces)} " )
p1 = faces[0][33] # Example: left eye landmark
p2 = faces[0][263] # Example: right eye landmark
length, info, img = detector.findDistance(p1, p2, img)
print(f " Distance between points: {length}, Info: {info} " )
cv2.imshow( ' Image ' , img)
if cv2.waitKey(1) & 0xFF == ord( ' q ' ):
break
cap.release ()
cv2.destroyAllWindows ()from KAZIER import FPS
import cv2
fps_counter = FPS ()
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read ()
if not ret:
break
fps = fps_counter.showfps(frame, writetext=True, text_pos=(10, 50),
fthickness=2,tcolor=(0,255,250),
Fstyle=cv2.FONT_HERSHEY_DUPLEX,fscale=2,)
cv2.imshow( ' Frame ' , frame)
if cv2.waitKey(1) & 0xFF == ord( ' q ' ):
break
cap.release ()
cv2.destroyAllWindows ()from KAZIER import HandStar
import cv2
cap = cv2.VideoCapture(0)
detector = HandStar(maxHands=2)
while True:
success, img = cap.read ()
if not success:
break
img = detector.detect_hands(img)
lmList = detector.get_hand_positions(img)
if len(lmList) ! = 0:
fingersList = detector.get_fingers_status ()
for i, fingers in enumerate(fingersList):
length, img, lineInfo = detector.calculate_distance(4, 8, img, handNo=i)
cv2.imshow( ' Image ' , img)
if cv2.waitKey(1) == ord( ' q ' ):
break
cap.release ()
cv2.destroyAllWindows ()from KAZIER import PoseDetector
import cv2
cap = cv2.VideoCapture(0)
detector = PoseDetector ()
while True:
success, img = cap.read ()
img = cv2.resize(img, (680, 680))
img = detector.findPose(img)
lmList = detector.findPosition(img)
if lmList:
cv2.circle(img, (lmList[14][1], lmList[14][2]), 10, (250, 0, 0), cv2.FILLED)
length, img, info = detector.findDistance(lmList[11][1:3], lmList[15][1:3], img=img, color=(255, 0, 0), scale=10)
cv2.imshow( " image " , img)
if cv2.waitKey(1) == ord( ' q ' ):
breakfrom KAZIER import Helper
import cv2
# Initialize the Helper class
utils = Helper ()
# Download the image from URL
image_url = ' https://image.shutterstock.com/image-vector/dotted-spiral-vortex-royaltyfree-images-600w-2227567913.jpg '
image = utils.download_image_from_url(image_url)
# Make the background black
black_background_image = utils.make_background_black(image)
cv2.imshow( ' Black Background Image ' , black_background_image)
# Rotate the image by 45 degrees
rotated_image = utils.rotate_image(image, 45)
cv2.imshow( ' Rotated Image ' , rotated_image)
# Read another image from local filesystem
img2 = cv2.imread( ' med/ig.jpg ' )
# Stack images horizontally and vertically
hstacked_image = utils.hstack_images(image, img2)
cv2.imshow( ' Horizontally Stacked Image ' , hstacked_image)
vstacked_image = utils.vstack_images(image, img2)
cv2.imshow( ' Vertically Stacked Image ' , vstacked_image)
# Detect the color green in the image
detected_color = utils.detect_color(image, ' green ' )
cv2.imshow( ' Detected Color Image ' , detected_color)
# Detect corners in the image
image_with_corners = utils.detect_corners(image)
cv2.imshow( ' Image with Corners ' , image_with_corners)
# Add text to the image
image_with_text_left = utils.add_text(image, ' Hello World ' , (50, 50), font_name= ' hershey_triplex ' , color_name= ' blue ' , align= ' left ' )
cv2.imshow( ' Image with Text ' , image_with_text_left)
# Wait for a key press and then close all OpenCV windows
cv2.waitKey(0)
cv2.destroyAllWindows ()
