Error ScreenShot def read_array(fp, allow_pickle=False, pickle_kwargs=None): version = read_magic(fp) _check_version(version) shape, fortran_order, dtype = _read_array_header(fp, version) if len(shape) == 0: count = 1 else: count = numpy.multiply.reduce(shape, dtype=numpy.int64) # Now read the actual data. if dtype.hasobject: # The array contained Python objects. We need to unpickle the data. **if not allow_pickle: raise ValueError("Object arrays cannot ..
I am getting below error in the code i am trying to run. AttributeError: module ‘facedetector_m’ has no attribute FaceDetectorClass from facenet_pytorch import MTCNN import facedetector_m import os import torch from torchvision import models import torch.nn as nn import argparse import sys sys.argv=[”] ap = argparse.ArgumentParser() ap.add_argument("-b", "–blur", type=bool, default=True, choices=[True,False]) args = vars(ap.parse_args()) del ..
def generate_dataset(): face_classifier = cv2.CascadeClassifier("haarcascade_frontalface_default.xml") def face_cropped(img): gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) faces = face_classifier.detectMultiScale(gray, 1.3, 5) if faces is (): return None for (x,y,w,h) in faces: cropped_face = img[y:y+h,x:x+w] return cropped_face cap = cv2.VideoCapture(1) img_id = 0 while True: ret, frame = cap.read() if face_cropped(frame) is not None: img_id+=1 face = cv2.resize(face_cropped(frame), (200,200)) face = cv2.cvtColor(face, ..
Code: import face_recognition image = face_recognition.load_image_file("photo_of_people.jpg") face_locations = face_recognition.face_locations(image) I am trying to make a face finder with face_recognition. But when I run my code it says that: ImportError: No module named face_recognition But I have already installed face_recognition so I don’t see where is the problem. Source: Python..
I have created face recognition project which i then converted it to .exe file, but not as i run the exe file my camera is not opening for recognition . Kindly help me with it. Source: Python..
I have wrote a code for face recognition in python. My code works perfectly in .py file (without any errors or warning), but after making a .exe file out of it, through pyinstaller it won’t work at all. I have searched through, for the same and tried the following methods, but it still won’t work. ..
How can I integrate pickled face_data.dat to python face-recognition default example which shows real-time webcam view? import face_recognition import cv2 import numpy as np # Get a reference to webcam #0 (the default one) video_capture = cv2.VideoCapture(0) # Load a sample picture and learn how to recognize it. obama_image = face_recognition.load_image_file("obama.jpg") obama_face_encoding = face_recognition.face_encodings(obama_image) # ..
my project name face recognition attendance system when i runing in my pycharm project,whay show me error attributeerror module ‘cv2.cv2’ has no attribute ‘videocapture. pleas halp me.i working with project. **information of my project:**1st when you run my code,my project is atomatic take attendance and save to anoter file. display error attributeerror module ‘cv2.cv2’ has ..
PS C:UsersIshu GuptaDownloadsDriver-Drowsiness-Detector-master> pip install dlib Collecting dlib Using cached dlib-19.22.0.tar.gz (7.4 MB) Building wheels for collected packages: dlib Building wheel for dlib (setup.py) … error ERROR: Command errored out with exit status 1: command: ‘c:python39python.exe’ -u -c ‘import sys, setuptools, tokenize; sys.argv = ‘"’"’C:UsersIshu GuptaAppDataLocalTemppip-install-bfdujia2dlib_1f4c3b61cdaf4f569fe543cb341e516fsetup.py’"’"’; file=’"’"’C:UsersIshu GuptaAppDataLocalTemppip-install-bfdujia2dlib_1f4c3b61cdaf4f569fe543cb341e516fsetup.py’"’"’;f=getattr(tokenize, ‘"’"’open’"’"’, open)(file);code=f.read().replace(‘"’"’rn’"’"’, ‘"’"’n’"’"’);f.close();exec(compile(code, file, ‘"’"’exec’"’"’))’ bdist_wheel -d ..
I am developing a GUI with PyQt5 and I am stuck. Because my program is running on a RaspberryPi4 I have limited processing power. I am getting video input from my webcam and want to perform face_recognition operations on this input. Due to the limited processing power i need to ignore a lot of input ..