Intel® Distribution of OpenVINO™ Toolkit
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openvino.inference_engine.ie_api.IENetwork' object has no attribute 'inputs'


I am currently using this 'person detector' python coding and am trying to implement it with object algorithms algorithm. I have my XML file prepared and have it running. However, there is this error shown below:


for blob_name in net.inputs:
AttributeError: 'openvino.inference_engine.ie_api.IENetwork' object has no attribute 'inputs'


Can anyone help me identify what is the error ? Here is the full coding below:


import sys
import os
import cv2
import time
import numpy as np
from openvino.inference_engine import IECore, IENetwork, Blob

ie = IECore()

model_xml = "Web.xml"
model_bin = os.path.splitext(model_xml)[0] + ".bin"
device = 'CPU'

net = ie.read_network(model=model_xml, weights=model_bin)
net.serialize(model_xml, model_bin)
img_info_input_blob = None
feed_dict = {}

for blob_name in net.inputs:
if len(net.inputs[blob_name].input_data.shape) == 4:
input_blob = blob_name
elif len(net.inputs[blob_name].input_data.shape) == 2:
img_info_input_blob = blob_name
raise RuntimeError("Unsupported {}D input layer '{}'. Only 2D and 4D input layers are supported"
.format(len(net.inputs[blob_name].input_data.shape), blob_name))
assert len(net.outputs) == 1, "Demo supports only single output topologies"
out_blob = next(iter(net.outputs))
exec_net = ie.load_network(network=net, num_requests=2, device_name=device)

# Read and pre-process input image
n, c, h, w = net.inputs([input_blob].input_data.shape)

if img_info_input_blob:
feed_dict[img_info_input_blob] = [h, w, 1]
cur_request_id = 0

cap = cv2.VideoCapture(0)
while cap.isOpened():
ret, frame =
if ret:
frame_h, frame_w = frame.shape[:2]
inf_start = time.time()
in_frame = cv2.resize(frame, (w, h))
in_frame = in_frame.transpose((2, 0, 1)) # Change data layout from HWC to CHW
in_frame = in_frame.reshape((n, c, h, w))

feed_dict[input_blob] = in_frame
exec_net.start_async(request_id=cur_request_id, inputs=feed_dict)
if exec_net.requests[cur_request_id].wait(-1) == 0:
inf_end = time.time()
det_time = inf_end - inf_start
res = exec_net.requests[cur_request_id].outputs[out_blob]

# Draw performance stats
inf_time_message = "Fps: {:.2f}".format(det_time * 1000)
cv2.rectangle(frame, (4, 3), (95, 20), (0, 0, 0), -1)
cv2.putText(frame, inf_time_message, (5, 15), cv2.FONT_HERSHEY_COMPLEX, 0.5, (0, 255, 255), 1)
cv2.imshow("Detections", frame)
key = cv2.waitKey(1)
if key == 27:



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2 Replies
Community Manager

Hi Jeremyang012,


Thanks for reaching out.


For your information, ie_api.IENetwork.inputs property is deprecated starting on OpenVINO 2020.4. For the latest OpenVINO (2022.1), please use the input_info property to get the map of the inputs. You may refer to this openvino.inference_engine.IENetwork documentation.


For now, I am able to solve the error by changing the input property. However, I received AssertionError as below:



I am using person-detection-0106 and this error might due to the unsupported model with the demo. You can test with your model and get back to me with the result.






Community Manager

Hi Jeremyang012,

This thread will no longer be monitored since we have provided a solution. If you need any additional information from Intel, please submit a new question.