VigneshSuresh's profile - activity

I am getting the error. this is training code for training the model to identify short hair long hair and bald. # USAGE

Is there a package or module in python for xray scanning??? I am new to python programming and have explored only a few

Sqlite3 to excel export error. Help Appreciated. I get this after export C:\fakepath\PICT1.png I want this as the output

I am getting an Index out of range Error. I am retreiving the names from sqlite3 into a list. I think the retrieval is

The error is:-

Traceback (most recent call last):
  File "C:\Users\ACER\Desktop\PROJECT ALL RESOURCE\Implementation\PYTHON FILES\training_set.py", line 34, in <module>
    Ids, faces = getImagesWithID('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/DataSets')                                              # Calling the function
  File "C:\Users\ACER\Desktop\PROJECT ALL RESOURCE\Implementation\PYTHON FILES\training_set.py", line 22, in getImagesWithID
    cv2.imwrite('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Training Images/training.jpg', alignedFace)
cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\imgcodecs\src\loadsave.cpp:715: error: (-215:Assertion failed) !_img.empty() in function 'cv::imwrite'

and the code:

import os                                                                       # import for taking the imagePaths
import cv2                                                                      # openCV
import numpy as np                                                              # for numpy arrays
from PIL import Image                                                           # pillow
import openface
dlibFacePredictor = 'shape_predictor_68_face_landmarks.dat'                     # Path to dlib's face predictor
recognizer = cv2.face.LBPHFaceRecognizer_create()                                     # Local Binary Patterns Histograms
imgDim = 96                                                                     # Default image dimension
align = openface.AlignDlib(dlibFacePredictor)

def getImagesWithID(path):
    imageFolders = [os.path.join(path, f) for f in os.listdir(path)]    # Joining './dataset' and '<image names>'
    faces = []                                                                  # Empty array for faces
    Ids = []
    for imageFolder in imageFolders:
        imagePaths = [os.path.join(imageFolder, f) for f in os.listdir(imageFolder)]
        for imagePath in imagePaths:
            image = cv2.imread(imagePath)
            rgbImg = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
            bb = align.getLargestFaceBoundingBox(rgbImg)
            alignedFace = align.align(imgDim, rgbImg, bb=None, landmarkIndices=openface.AlignDlib.OUTER_EYES_AND_NOSE)
            cv2.imwrite('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Training Images/training.jpg', alignedFace)
            faceImg = Image.open('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Training Images/training.jpg').convert('L')        # Converting colored and GrayScale images into bilevel images using Floyd-Steinberg dither
            faceNp = np.array(faceImg, 'uint8')                                     # Converting face array into numpy array
            ID = int(os.path.split(imagePath)[-1].split('.')[1])                    # Check this again
            faces.append(faceNp)                                                    # adding the dilevel face into faces array
            Ids.append(ID)                                                          # index of ID and faceNp is same in both arrays
            cv2.imshow("Training", faceNp)                                          # Showing the faces which are getting trained
            cv2.waitKey(10)
                                                                        # Empty array for Person Ids
                                                             # Waiting time id 10 milisecond
    return Ids, faces

Ids, faces = getImagesWithID('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/DataSets')                                              # Calling the function
recognizer.train(faces, np.array(Ids))                                          # Training the faces
recognizer.save('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Training/trainingData.yml')                                # Saving the yml file
cv2.destroy()                                                         # Closing all the opened windows

OpenCV is 4.2.0 which I use. I use openpyxl 3.3.0 which is latest version

Sir, the pypi.org also says openpyxl latest version is 3.0.3 and you say it is oldest. If yes, please tell from where sh

Help appreciated. This is the error i get after executing the code. i use openpyxl 3.0.3 for row in range(2, (len(sheet.

Help needed urgently. This is a code for recognition of faces and attendance marking. I get the following error import c

This is my code for recognition of faces. I am getting the following error align = openface.AlignDlib(dlibFacePredictor)

This is my code for recognition of faces. I am getting the following error align = openface.AlignDlib(dlibFacePredictor)

Can u provide me some solution to it. It will be helpful

align(imgDim, rgbImg, bb=None, landmarks=None, landmarkIndices=INNER_EYES_AND_BOTTOM_LIP) Transform and align a face in

align(imgDim, rgbImg, bb=None, landmarks=None, landmarkIndices=INNER_EYES_AND_BOTTOM_LIP)

align(imgDim, rgbImg, bb=None, landmarks=None, landmarkIndices=INNER_EYES_AND_BOTTOM_LIP)[source]

I did not get it. please help me sir

This is a code to train a dataset of faces captured using OpenCV in python. I get error like this. Help appreciated impo

This is my code. I use Python 3.6.8 and opencv 4.2.0 import os