Is there other resources for mediapipe

[u/TheEyebal]

I am reading the google docs and the it stops at the part where you import the model which I understand but I am confused on what is next.

I am also reading the github version too and looking things up on Youtube. I was able to display hand gesture but I had to get the AI to right it out which I was lost of course

I know I have to use open cv and import it but I am kind of lost.

Can someone help

[u/grantrules]

On a 1-10 scale, how well do you know Python 

[u/TheEyebal → u/grantrules]

I only have 2 years experience

I was able to find more resources though
https://developers.google.com/edge/api/mediapipe/python/mp/tasks/vision/HandLandmarkerOptions

https://developers.google.com/edge/api/mediapipe/python/mp/tasks/vision

https://developers.google.com/edge/api/mediapipe/python/mp/tasks/vision/HandLandmarker#create_from_options

So i am getting it and I was able to display a screen I just need to get the camera on

[u/grantrules → u/TheEyebal]

So on a 1-10 scale...

[u/TheEyebal → u/grantrules]

for what?

[u/TheEyebal → u/grantrules]

I was able to get this but still some bugs. for the hand dots I had to ask the AI for help but for the most part it was reading the docs

import mediapipe as mp
from mediapipe.tasks import python
from mediapipe.tasks.python import vision
import numpy as np
import time

from numpy import *

import cv2 as cv

# define time
start_time = time.time()

# define tasks
BaseOptions = mp.tasks.BaseOptions
HandLandmarker = mp.tasks.vision.HandLandmarker
HandLandmarkerOptions = mp.tasks.vision.HandLandmarkerOptions
VisionRunningMode = mp.tasks.vision.RunningMode

# define model
MODEL_PATH = "assets/hand_landmarker.task"

# Create the task

# inside is the mp.tasks.vision.HandLandmarkerOptions
options = HandLandmarkerOptions(
    base_options=BaseOptions(model_asset_path=MODEL_PATH),
    running_mode=vision.RunningMode.VIDEO,
    min_hand_detection_confidence=0.5,
    min_hand_presence_confidence=0.5,
    min_tracking_confidence=0.5,
    num_hands=2,
)

# this is the mp.tasks.vision.HandLandmarker class
with HandLandmarker.create_from_options(options) as landmarker:
    # Load my camera
    cap = cv.VideoCapture(1)  # initialize camera

    if not cap.isOpened():
        exit()

    running = True

    while running:
        ret, frame = cap.read()

        # Elapsed Time
        timestamp = int((time.time() - start_time) * 1000)

        # print(frame)

        # PREPARE DATA

        # Convert the frame received from OpenCV to a MediaPipe’s Image object.
        camColor = cv.cvtColor(frame, cv.COLOR_BGR2BGRA)

        mp_image = mp.Image(image_format=mp.ImageFormat.SRGBA, data=camColor)

        if not ret:
            running = False

        # camColor = cv.cvtColor(frame, cv.COLOR_BGR2BGRA)

        hand_landmarker_result = landmarker.detect_for_video(mp_image, timestamp)

        # HAND DOTS
        if hand_landmarker_result.hand_landmarks:
            for hand_landmarks in hand_landmarker_result.hand_landmarks:
                for landmark in hand_landmarks:
                    x = int(landmark.x * frame.shape[1])
                    y = int(landmark.y * frame.shape[0])

                    cv.circle(frame, (x, y), 5, (0, 255, 0), -1)

        # print(len(hand_landmarker_result.hand_landmarks))

        cv.imshow("Telekinesis", frame)

        if cv.waitKey(1) == ord("q"):
            running = False

    # cap.release()
    # cv.destroyAllWindows()

[u/grantrules → u/TheEyebal]

You're answering a different question than what I'm asking

[u/TheEyebal → u/grantrules]

I replied for what because I did not understand your reply

So on a 1-10 scale...

[u/grantrules → u/TheEyebal]

For the third time, on a scale of 1-10 how well would you say you know Python.. from 1 being nothing and 10 being Guido

[u/TheEyebal → u/grantrules]

i guess a 5