I have created the code for Face recognition :
import numpy as np
import argparse
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image" ,required=True , help="path to input image")
ap.add_argument("-p", "--prototxt" , required=True, help="path to Caffe 'deploy' prototxt file")
ap.add_argument("-m", "--model" , required=True , help="path to Caffe pre-trained model")
ap.add_argument("-c", "--confidence" , type=float , default=0.5 , help="minimum probability to filter weak detections")
args = vars(ap.parse_args())
print("[INFO] loading model...")
net = cv2.dnn.readNetFromCaffe(args["prototxt"],args["model"])
image = cv2.imread(args["image"])
(h,w) = image.shape[:2]
blob = cv2.dnn.blobFromImage(cv2.resize(image,(300,300),1.0,(300,300),(104.0, 177.0, 123.0))
print("[INFO] computing object detections...")
net.setInput(blob)
detections = net.forward()
for i in range(0,detections.shape[2]):
confidence = detections[0,0,i,2]
if confidence > args["confidence"]:
box = detections[0, 0, i, 3:7] * np.array([w, h, w, h]) \
(startX, startY, endX, endY) = box.astype("int")
text = "{:.2f}%".format(confidence * 100)
y = startY - 10 if startY - 10 > 10 else startY + 10
cv2.rectangle(image, (startX, startY), (endX, endY), (0, 0, 255), 2)
cv2.putText(image, text, (startX, y),
cv2.FONT_HERSHEY_SIMPLEX, 0.45, (0, 0, 255), 2)
cv2.imshow("Output", image)
cv2.waitKey(0)
While running the program, I face SyntaxError:
File "tensorflowexperiment", line 19
print("[INFO] computing object detections...")
^ SyntaxError: invalid syntax
The first print command doesn't give any error.
Why there is error with the second print command?
blob=cv2.dnn.blobFromImage(cv2.resize(image,(300,300),1.0,(300,300),(104.0, 177.0, 123.0)) here is one closing bracket missing