How can I remove dots from hand landmark in mediepipe

Question

I'm able to detect nail and palm with media pip and python but can't manage to extract the nail part. How can I select the part using media pipe

I want to show only (4,8,12,16,20) these points and remove other white dots.

Here is my code for hand detection

import mediapipe as mp
import cv2
import numpy as np
import uuid
import os
    
mp_drawing = mp.solutions.drawing_utils
mp_hands = mp.solutions.hands
handConnection = [(4, 4), (8, 8), (12, 12), (16, 16), (20, 20)]

cap = cv2.VideoCapture(0)

def main():
    hands = mp_hands.Hands(
    min_detection_confidence=0.7, min_tracking_confidence=0.7)
    hand_landmark_drawing_spec = mp_drawing.DrawingSpec(color=(121, 22, 6), thickness=0, circle_radius=0)
    hand_connection_drawing_spec = mp_drawing.DrawingSpec(color=(250, 44, 90), thickness=15, circle_radius=15)

    while cap.isOpened():
        ret, image = cap.read()
        image = cv2.flip(image, 1)
        image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)
        results_hand = hands.process(image)
        image.flags.writeable = True
        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
        if results_hand.multi_hand_landmarks:
            for idx, hand_landmarks in enumerate(results_hand.multi_hand_landmarks):
                
                mp_drawing.draw_landmarks(
                    image=image,
                    landmark_list=hand_landmarks,
                    connections=handConnection,
                    landmark_drawing_spec=hand_landmark_drawing_spec,
                    connection_drawing_spec=hand_connection_drawing_spec)

        cv2.imshow('Hand Tracking', image)
        if cv2.waitKey(10) & 0xFF == ord('q'):
            break

    hands.close()
    cap.release()

main()

How can I show or use from the image below (4,8,12,16,20). I want to place text over them. How I can achieve this or able to solve this?

Yunus Temurlenk · Answer

You need to get each desired landmark points by one by and then you can use them easily. Here is the class you need to focus. In there, all the points are listed as:

so all you neeed to do is calling them by one by and using them. Here is my result and code:

import mediapipe as mp
import cv2
import numpy as np
import uuid
import os

mp_drawing = mp.solutions.drawing_utils
drawSpecific = mp.solutions.hands
mp_hands = mp.solutions.hands
handConnection = [(4, 4), (8, 8), (12, 12), (16, 16), (20, 20)]

cap = cv2.VideoCapture(0)


def main():
    hands = mp_hands.Hands(min_detection_confidence=0.7,
                           min_tracking_confidence=0.7)
    hand_landmark_drawing_spec = mp_drawing.DrawingSpec(color=(121, 22,
            6), thickness=5, circle_radius=0)
    hand_connection_drawing_spec = mp_drawing.DrawingSpec(color=(250,
            44, 90), thickness=15, circle_radius=15)

    while cap.isOpened():
        (ret, image) = cap.read()
        image = cv2.flip(image, 1)
        image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)
        (image_height, image_width, _) = image.shape

        results_hand = hands.process(image)
        image.flags.writeable = True
        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)

        if results_hand.multi_hand_landmarks:
            for (idx, hand_landmarks) in \
                enumerate(results_hand.multi_hand_landmarks):
                color = (0xFF, 0, 0)

                center_coordinates1 = \
                    (hand_landmarks.landmark[drawSpecific.HandLandmark.THUMB_TIP].x
                     * image_width,
                     hand_landmarks.landmark[drawSpecific.HandLandmark.THUMB_TIP].y
                     * image_height)
                center_coordinates2 = \
                    (hand_landmarks.landmark[drawSpecific.HandLandmark.INDEX_FINGER_TIP].x
                     * image_width,
                     hand_landmarks.landmark[drawSpecific.HandLandmark.INDEX_FINGER_TIP].y
                     * image_height)
                center_coordinates3 = \
                    (hand_landmarks.landmark[drawSpecific.HandLandmark.MIDDLE_FINGER_TIP].x
                     * image_width,
                     hand_landmarks.landmark[drawSpecific.HandLandmark.MIDDLE_FINGER_TIP].y
                     * image_height)
                center_coordinates4 = \
                    (hand_landmarks.landmark[drawSpecific.HandLandmark.RING_FINGER_TIP].x
                     * image_width,
                     hand_landmarks.landmark[drawSpecific.HandLandmark.RING_FINGER_TIP].y
                     * image_height)
                center_coordinates5 = \
                    (hand_landmarks.landmark[drawSpecific.HandLandmark.PINKY_TIP].x
                     * image_width,
                     hand_landmarks.landmark[drawSpecific.HandLandmark.PINKY_TIP].y
                     * image_height)

                cv2.circle(image, (int(center_coordinates1[0]),
                           int(center_coordinates1[1])), 15, color, 5)
                cv2.circle(image, (int(center_coordinates2[0]),
                           int(center_coordinates2[1])), 15, color, 5)
                cv2.circle(image, (int(center_coordinates3[0]),
                           int(center_coordinates3[1])), 15, color, 5)
                cv2.circle(image, (int(center_coordinates4[0]),
                           int(center_coordinates4[1])), 15, color, 5)
                cv2.circle(image, (int(center_coordinates5[0]),
                           int(center_coordinates5[1])), 15, color, 5)

                # mp_drawing.draw_landmarks(
                    # image=image,
                    # landmark_list=hand_landmarks,
                    # connections=handConnection,
                    # landmark_drawing_spec=hand_landmark_drawing_spec,
                    # connection_drawing_spec=hand_connection_drawing_spec
                    # )

        cv2.imshow('Hand Tracking', image)

        if cv2.waitKey(10) & 0xFF == ord('q'):
            break

    hands.close()
    cap.release()


main()

How can I remove dots from hand landmark in mediepipe

1 Answers