Launching rails server with c9. not working. Getting missing argument -p - ruby-on-rails-4

Question

I am launching rails server using rails -v 4.2.0 with the following code...
"rails server -b $IP -p $port" and getting the following error.
/usr/local/rvm/gems/ruby-2.1.5#rails4/gems/railties-4.2.0/lib/rails/commands/server.rb:12:in `parse!': missing argument: -p (OptionParser::MissingArgument)
Can someone please explain the missing argument and how to fix it?
Thks

Answer 1

Try rails s -b $IP -p $PORT. Case is important. Bonus for you - you can use s as a shortcut for server.

Answer 2

I get the haarcascade_frontalface_deflult.xml file from cPanel the file are present there but it cannot detect the face its working locally fine but when I upload it on cPanel it did not detect faces properly
face_detector = cv2.CascadeClassifier('/home/khblpkn3ru9o/public_html/media/haarcascade_frontalface_default.xml')
i also try this
cv2.CascadeClassifier('http://theangrynerds.com/media/haarcascade_frontalface_default.xml')
you can check file http://www.theangrynerds.com/media/haarcascade_frontalface_default.xml
my complete module code here
#login_required(login_url='login')
def imgDelete(request,id):
# if request.method== 'POST':
Image.objects.filter(name=id).delete()
FaceName.objects.filter(name = id).delete()
allimages = FaceName.objects.filter(User=request.user)
# for p in allPdf:
# print("http://127.0.0.1:8000/"+p.thumbnail)
context={
'allimg' : allimages
}
return render(request, 'Application/imagess.html',context)
def location(request):
return render(request, 'Application/location.html')
def out(request):
logout(request)
return redirect('login')
def hello(request):
if request.method == "POST":
F_name = request.POST['name']
user_video = request.FILES['vide']
videoSave = videoStore.objects.create(User=User.objects.get(id=request.user.pk) , videoFile = user_video)
get_path_video = videoStore.objects.get(pk = videoSave.pk)
accurate_path = "http://theangrynerds.com/media/" + str(get_path_video.videoFile)
faceCount = FaceName.objects.all().count()
face_id = faceCount + 1
count =0
video = cv2.VideoCapture(accurate_path)
# Detect object in video stream using Haarcascade Frontal Face
face_detector = cv2.CascadeClassifier('/home/khblpkn3ru9o/public_html/media/haarcascade_frontalface_default.xml')
while True:
# Capture video frame
cc, image_frame = video.read()
if cc == False:
break
# Convert frame to grayscale
gray = cv2.cvtColor(image_frame, cv2.COLOR_BGR2GRAY)
# Detect frames of different sizes, list of faces rectangles
faces = face_detector.detectMultiScale(gray, 1.3, 5)
# Loops for each faces
for (x,y,w,h) in faces:
# Crop the image frame into rectangle
FaceName.objects.create(User=User.objects.get(id=request.user.pk) , name = F_name , ids = face_id)
# cv2.rectangle(image_frame, (x,y), (x+w,y+h), (255,0,0), 2)
count += 1
has = cv2.imwrite("/home/khblpkn3ru9o/public_html/media/" + str(request.user.username) + "." + str(face_id) + '.' + str(count) + ".jpg", gray[y:y+h,x:x+w])
c = str(request.user.username)+"." + str(face_id) + '.' + str(count) + ".jpg"
Image.objects.create(User=User.objects.get(id=request.user.pk), name=F_name , imagestore= c )
if count == 100:
break
FaceName.objects.create(User=User.objects.get(id=request.user.pk) , name = F_name , ids = face_id)
video.release()
return redirect('imagess')