I am trying to do a gender recognition program, below is the code..
import caffe
import os
import numpy as np
import sys
import cv2
import time
#Models root folder
models_path = "./models"
#Loading the mean image
mean_filename=os.path.join(models_path,'./mean.binaryproto')
proto_data = open(mean_filename, "rb").read()
a = caffe.io.caffe_pb2.BlobProto.FromString(proto_data)
mean_image = caffe.io.blobproto_to_array(a)[0]
#Loading the gender network
gender_net_pretrained=os.path.join(models_path,
'./gender_net.caffemodel')
gender_net_model_file=os.path.join(models_path,
'./deploy_gender.prototxt')
gender_net = caffe.Classifier(gender_net_model_file, gender_net_pretrained)
#Reshaping mean input image
mean_image = np.transpose(mean_image,(2,1,0))
#Gender labels
gender_list=['Male','Female']
#cv2 Haar Face detector
face_cascade=cv2.CascadeClassifier(os.path.join
(models_path,'haarcascade_frontalface_default.xml'))
#Getting prediction from live camera
cap = cv2.VideoCapture(0)
while True:
ret,frame = cap.read()
if ret is True:
start_time = time.time()
frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
rects = face_cascade.detectMultiScale(frame_gray, 1.3, 5)
#Finding the largest face
if len(rects) >= 1:
rect_area = [rects[i][2]*rects[i][3] for i in xrange(len(rects))]
rect = rects[np.argmax(rect_area)]
x,y,w,h = rect
cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
roi_color = frame[y:y+h, x:x+w]
#Resizing the face image
crop = cv2.resize(roi_color, (256,256))
#Subtraction from mean file
#input_image = crop -mean_image
input_image = rect
#Getting the prediction
start_prediction = time.time()
prediction = gender_net.predict([input_image])
gender = gender_list[prediction[0].argmax()]
print("Time taken by DeepNet model: {}").format(time.time()-start_prediction)
print prediction,gender
cv2.putText(frame,gender,(x,y), cv2.FONT_HERSHEY_SIMPLEX, 1,(0,255,0),2)
print("Total Time taken to process: {}").format(time.time()-start_time)
#Showing output
cv2.imshow("Gender Detection",frame)
cv2.waitKey(1)
#Delete objects
cap.release()
cv2.killAllWindows()
When I am running the I am getting an error:
a = caffe.io.caffe_pb2.BlobProto.FromString(proto_data)
AttributeError: 'module' object has no attribute 'io'
How Can I solve it. I am using cnn_gender_age_prediction model. I want to make a real time gender recognition program using python and cnn_gender_age model.
dir()on the module.io.pyfile in$CAFFE_ROOT/python/caffefolder. If not, then something is wrong with the caffe you got. Try re-install the package.io.py$CAFFE_ROOT/python/caffe/__init__.py?dir( )and I got:>>> dir(caffe) ['AdaDeltaSolver', 'AdaGradSolver', 'AdamSolver', 'Classifier', 'Detector', 'Layer', 'NesterovSolver', 'Net', 'NetSpec', 'RMSPropSolver', 'SGDSolver', 'TEST', 'TRAIN', '__builtins__', '__doc__', '__file__', '__name__', '__package__', '__path__', '__version__', '_caffe', 'classifier', 'detector', 'get_solver', 'io', 'layer_type_list', 'layers', 'net_spec', 'params', 'proto', 'pycaffe', 'set_device', 'set_mode_cpu', 'set_mode_gpu', 'set_random_seed', 'to_proto'] >>>