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Traceback (most recent call last):File "tf_opencv.py", line 3, in module cvNet = cv.dnn.readNetFromTensorflow('/home/hassaanrafique/train_drone_car/fine_tuned_model/frozen_inference_graph.pb', '/home/hassaanrafique/opencv_model/train.pbtxt') TypeError: readNetFromTensorflow() takes at most 1 argument (2 given)

My Code:

import cv2 as cv

cvNet = cv.dnn.readNetFromTensorflow('/home/hassaanrafique/train_drone_car/fine_tuned_model/frozen_inference_graph.pb', '/home/hassaanrafique/opencv_model/train.pbtxt')

img = cv.imread('/home/hassaanrafique/test.png') rows = img.shape[0] cols = img.shape[1] cvNet.setInput(cv.dnn.blobFromImage(img, 1.0/127.5, (300, 300), (127.5, 127.5, 127.5), swapRB=True, crop=False)) cvOut = cvNet.forward()

for detection in cvOut[0,0,:,:]: score = float(detection[2]) if score > 0.3: left = detection[3] * cols top = detection[4] * rows right = detection[5] * cols bottom = detection[6] * rows cv.rectangle(img, (int(left), int(top)), (int(right), int(bottom)), (23, 230, 210), thickness=2)

cv.imshow('img', img) cv.waitKey()

Traceback (most recent call last):File "tf_opencv.py", line 3, in module cvNet = cv.dnn.readNetFromTensorflow('/home/hassaanrafique/train_drone_car/fine_tuned_model/frozen_inference_graph.pb', '/home/hassaanrafique/opencv_model/train.pbtxt') TypeError: readNetFromTensorflow() takes at most 1 argument (2 given)

My Code:

import cv2 as cv
cv
  
cvNet = cv.dnn.readNetFromTensorflow('/home/hassaanrafique/train_drone_car/fine_tuned_model/frozen_inference_graph.pb', '/home/hassaanrafique/opencv_model/train.pbtxt')'/home/hassaanrafique/opencv_model/train.pbtxt')
  
img = cv.imread('/home/hassaanrafique/test.png')
rows = img.shape[0]
cols = img.shape[1]
cvNet.setInput(cv.dnn.blobFromImage(img, 1.0/127.5, (300, 300), (127.5, 127.5, 127.5), swapRB=True, crop=False))
cvOut = cvNet.forward()cvNet.forward()
  
for detection in cvOut[0,0,:,:]:
    score = float(detection[2])
    if score > 0.3:
        left = detection[3] * cols
        top = detection[4] * rows
        right = detection[5] * cols
        bottom = detection[6] * rows
        cv.rectangle(img, (int(left), int(top)), (int(right), int(bottom)), (23, 230, 210), thickness=2)thickness=2)
  
cv.imshow('img', img)
cv.waitKey()cv.waitKey()

Traceback (most recent call last):File "tf_opencv.py", line 3, in module cvNet = cv.dnn.readNetFromTensorflow('/home/hassaanrafique/train_drone_car/fine_tuned_model/frozen_inference_graph.pb', '/home/hassaanrafique/opencv_model/train.pbtxt') TypeError: readNetFromTensorflow() takes at most 1 argument (2 given)

My Code:

import cv2 as cv

cvNet = cv.dnn.readNetFromTensorflow('/home/hassaanrafique/train_drone_car/fine_tuned_model/frozen_inference_graph.pb', '/home/hassaanrafique/opencv_model/train.pbtxt')

img = cv.imread('/home/hassaanrafique/test.png')
rows = img.shape[0]
cols = img.shape[1]
cvNet.setInput(cv.dnn.blobFromImage(img, 1.0/127.5, (300, 300), (127.5, 127.5, 127.5), swapRB=True, crop=False))
cvOut = cvNet.forward()

for detection in cvOut[0,0,:,:]:
    score = float(detection[2])
    if score > 0.3:
        left = detection[3] * cols
        top = detection[4] * rows
        right = detection[5] * cols
        bottom = detection[6] * rows
        cv.rectangle(img, (int(left), int(top)), (int(right), int(bottom)), (23, 230, 210), thickness=2)

cv.imshow('img', img)
cv.waitKey()