# Kaizer Package
Kaizer is a comprehensive package for face detection, hand tracking, pose estimation, and more using MediaPipe. It is designed to simplify your project development.
## Features
- **Face Detection**: Efficient and accurate face detection.
- **Hand Tracking**: Real-time hand tracking and gesture recognition.
- **Pose Estimation**: Full-body pose estimation.
- **FPS Calculation**: Measure frames per second for performance evaluation.
- **Utilities**: Additional tools to streamline your project work.
## Installation
You can install the package using pip:
```bash
pip install kaizer
```
## Usage
### Using Face Detection
```bash
from 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()
```
### Using fps
```bash
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()
```
### Using HAND DETECTION
```bash
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()
```
### Using Pose Module
```bash
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'):
break
```
### Using Utils
```bash
from KAZIER import Helper
import cv2
utils = Helper()
image_url = 'https://image.shutterstock.com/image-vector/dotted-spiral-vortex-royaltyfree-images-600w-2227567913.jpg' # Replace with the actual image URL
image = utils.download_image_from_url(image_url)
black_background_image = utils.make_background_black(image)
rotated_image = utils.rotate_image(image, 45)
img2 = cv2.imread('med/ig.jpg')
hstacked_image = utils.hstack_images(image, img2)
vstacked_image = utils.vstack_images(image, img2)
detected_color = utils.detect_color(image, 'green')
image_with_corners = utils.detect_corners(image)
image_with_text_left = utils.add_text(image, 'Hello World', (50, 50), font_name='hershey_triplex', color_name='blue', align='left')
cv2.waitKey(0)
cv2.destroyAllWindows()
```
## License
- This project is licensed under the MIT License. See the LICENSE file for details.
## Contributing
- Contributions are welcome! Please open an issue or submit a pull request.
## Contact
- Replace `sumitsingh9441@gmail.com` with your actual email address. This `README.md` file now reflects the package name `kaizer` and includes usage examples for its features.
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"description": "# Kaizer Package\r\n\r\nKaizer is a comprehensive package for face detection, hand tracking, pose estimation, and more using MediaPipe. It is designed to simplify your project development.\r\n\r\n## Features\r\n- **Face Detection**: Efficient and accurate face detection.\r\n- **Hand Tracking**: Real-time hand tracking and gesture recognition.\r\n- **Pose Estimation**: Full-body pose estimation.\r\n- **FPS Calculation**: Measure frames per second for performance evaluation.\r\n- **Utilities**: Additional tools to streamline your project work.\r\n\r\n## Installation\r\n\r\nYou can install the package using pip:\r\n\r\n```bash\r\npip install kaizer\r\n```\r\n\r\n## Usage\r\n### Using Face Detection\r\n```bash\r\nfrom KAZIER import FaceDetector \r\nimport cv2\r\n\r\ncap = cv2.VideoCapture(0)\r\ndetector = FaceDetector()\r\nwhile True:\r\n success, img = cap.read()\r\n if not success:\r\n break\r\n img, bboxs = detector.find_faces(img)\r\n if bboxs:\r\n for _, bbox, _ in bboxs:\r\n img = detector.imp_draw(img, bbox)\r\n print(\"Bounding boxes:\", bboxs)\r\n img, faces = detector.find_face_mesh(img)\r\n if faces:\r\n print(f\"Number of faces detected: {len(faces)}\")\r\n p1 = faces[0][33] # Example: left eye landmark\r\n p2 = faces[0][263] # Example: right eye landmark\r\n length, info, img = detector.findDistance(p1, p2, img)\r\n print(f\"Distance between points: {length}, Info: {info}\")\r\n cv2.imshow('Image', img)\r\n if cv2.waitKey(1) & 0xFF == ord('q'):\r\n break\r\ncap.release()\r\ncv2.destroyAllWindows()\r\n```\r\n\r\n\r\n### Using fps\r\n```bash\r\nfrom KAZIER import FPS\r\nimport cv2\r\n\r\nfps_counter = FPS()\r\ncap = cv2.VideoCapture(0)\r\nwhile True:\r\n ret, frame = cap.read()\r\n if not ret:\r\n break\r\n fps = fps_counter.showfps(frame, writetext=True, text_pos=(10, 50),\r\n fthickness=2,tcolor=(0,255,250),\r\n Fstyle=cv2.FONT_HERSHEY_DUPLEX,fscale=2,)\r\n cv2.imshow('Frame', frame)\r\n if cv2.waitKey(1) & 0xFF == ord('q'):\r\n break\r\ncap.release()\r\ncv2.destroyAllWindows()\r\n```\r\n\r\n### Using HAND DETECTION\r\n```bash\r\nfrom KAZIER import HandStar\r\nimport cv2\r\n\r\ncap = cv2.VideoCapture(0)\r\ndetector = HandStar(maxHands=2)\r\nwhile True:\r\n success, img = cap.read()\r\n if not success:\r\n break\r\n img = detector.detect_hands(img)\r\n lmList = detector.get_hand_positions(img)\r\n if len(lmList) != 0:\r\n fingersList = detector.get_fingers_status()\r\n for i, fingers in enumerate(fingersList):\r\n length, img, lineInfo = detector.calculate_distance(4, 8, img, handNo=i)\r\n cv2.imshow('Image', img)\r\n if cv2.waitKey(1) == ord('q'):\r\n break\r\ncap.release()\r\ncv2.destroyAllWindows()\r\n```\r\n\r\n### Using Pose Module\r\n```bash\r\nfrom KAZIER import PoseDetector\r\nimport cv2\r\n\r\ncap = cv2.VideoCapture(0)\r\ndetector = PoseDetector()\r\nwhile True:\r\n success, img = cap.read()\r\n img = cv2.resize(img, (680, 680))\r\n img = detector.findPose(img)\r\n lmList = detector.findPosition(img)\r\n if lmList:\r\n cv2.circle(img, (lmList[14][1], lmList[14][2]), 10, (250, 0, 0), cv2.FILLED)\r\n length, img, info = detector.findDistance(lmList[11][1:3], lmList[15][1:3], img=img, color=(255, 0, 0), scale=10)\r\n cv2.imshow(\"image\", img)\r\n if cv2.waitKey(1) == ord('q'):\r\n break\r\n```\r\n\r\n### Using Utils\r\n```bash\r\nfrom KAZIER import Helper\r\nimport cv2\r\n\r\nutils = Helper()\r\nimage_url = 'https://image.shutterstock.com/image-vector/dotted-spiral-vortex-royaltyfree-images-600w-2227567913.jpg' # Replace with the actual image URL\r\nimage = utils.download_image_from_url(image_url)\r\nblack_background_image = utils.make_background_black(image)\r\nrotated_image = utils.rotate_image(image, 45)\r\nimg2 = cv2.imread('med/ig.jpg') \r\nhstacked_image = utils.hstack_images(image, img2)\r\nvstacked_image = utils.vstack_images(image, img2)\r\ndetected_color = utils.detect_color(image, 'green')\r\nimage_with_corners = utils.detect_corners(image)\r\nimage_with_text_left = utils.add_text(image, 'Hello World', (50, 50), font_name='hershey_triplex', color_name='blue', align='left')\r\ncv2.waitKey(0)\r\ncv2.destroyAllWindows()\r\n```\r\n## License\r\n- This project is licensed under the MIT License. See the LICENSE file for details.\r\n\r\n## Contributing\r\n- Contributions are welcome! Please open an issue or submit a pull request.\r\n\r\n## Contact\r\n- Replace `sumitsingh9441@gmail.com` with your actual email address. This `README.md` file now reflects the package name `kaizer` and includes usage examples for its features.\r\n",
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