I made a hand recognition project that tells which hand is that left or right.
but i got an error in color describing cvt
i used mediapipe and opencv.
this is the full code of my project:
# Importing Libraries
import cv2
import mediapipe as mp
# Used to convert protobuf message to a dictionary.
from google.protobuf.json_format import MessageToDict
# Initializing the Model
mpHands = mp.solutions.hands
hands = mpHands.Hands(
static_image_mode=False,
model_complexity=1,
min_detection_confidence=0.75,
min_tracking_confidence=0.75,
max_num_hands=2)
# Start capturing video from webcam
cap = cv2.VideoCapture(0)
while True:
# Read video frame by frame
success, img = cap.read()
# Flip the image(frame)
img = cv2.flip(img, 1)
# Convert BGR image to RGB image
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# Process the RGB image
results = hands.process(imgRGB)
# If hands are present in image(frame)
if results.multi_hand_landmarks:
# Both Hands are present in image(frame)
if len(results.multi_handedness) == 2:
# Display 'Both Hands' on the image
cv2.putText(img, 'Both Hands', (250, 50),
cv2.FONT_HERSHEY_COMPLEX,
0.9, (0, 255, 0), 2)
# If any hand present
else:
for i in results.multi_handedness:
# Return whether it is Right or Left Hand
label = MessageToDict(i)
['classification'][0]['label']
if label == 'Left':
# Display 'Left Hand' on
# left side of window
cv2.putText(img, label+' Hand',
(20, 50),
cv2.FONT_HERSHEY_COMPLEX,
0.9, (0, 255, 0), 2)
if label == 'Right':
# Display 'Left Hand'
# on left side of window
cv2.putText(img, label+' Hand', (460, 50),
cv2.FONT_HERSHEY_COMPLEX,
0.9, (0, 255, 0), 2)
# Display Video and when 'q'
# is entered, destroy the window
cv2.imshow('Image', img)
if cv2.waitKey(1) & 0xff == ord('q'):
break
and i got this error :
Traceback (most recent call last):
File "C:\Users\'\Desktop\Projects\Rafan\Python\Face detection in opencv.py", line 28, in <module>
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
cv2.error: OpenCV(4.7.0) D:\a\opencv-python\opencv-python\opencv\modules\imgproc\src\color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'
can anyone help to find the error out.