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so i am following object detection api for the first time i used mobileNet v1 model and trained it on Tom and jerry and finally convert the graph.pbxt and used it with cv2.dnn.readnetfromtesnsorlfow it was working perfect but now i took another model modelNet v2 and trained gun detection so inference with tensorflow its working fine but when when i read it with opencv dnn module it throws errors and i don't understand where is the actual problem

so i am following object detection api for the first time i used mobileNet v1 model and trained it on Tom and jerry and finally convert the graph.pbxt and used it with cv2.dnn.readnetfromtesnsorlfow it was working perfect but now i took another model modelNet mobileNet v2 and trained gun detection so inference with tensorflow its working fine but when when i read it with opencv dnn module it throws errors and i don't understand where is the actual problem

so i am following object detection api for the first time i used mobileNet v1 model and trained it on Tom and jerry and finally convert the graph.pbxt and used it with cv2.dnn.readnetfromtesnsorlfow it was working perfect but now i took another model mobileNet v2 and trained gun detection so inference with tensorflow its working fine but when when i read it with opencv dnn module it throws errors and i don't understand where is the actual problem

so i am following object detection api for the first time i used mobileNet v1 model and trained it on Tom and jerry and finally convert the graph.pbxt and used it with cv2.dnn.readnetfromtesnsorlfow it was working perfect but now i took another model mobileNet v2 and trained gun detection so inference with tensorflow its working fine but when when i read it with opencv dnn module it throws errors and i don't understand where is the actual problem

The detection architecture used is Faster RCNN

so i am following object detection api for the first time i used mobileNet v1 model and trained it on Tom and jerry and finally convert the graph.pbxt and used it with cv2.dnn.readnetfromtesnsorlfow it was working perfect but now i took another model mobileNet v2 and trained gun detection so inference with tensorflow its working fine but when when i read it with opencv dnn module it throws errors and i don't understand where is the actual problem

The detection architecture used is Faster RCNN

and here is the code in which I am getting errors

import cv2

net = cv2.dnn.readNetFromTensorflow("forzen_inference_graph.pb","graph.pbxt");

and here are the models i am using https://1drv.ms/u/s!Ar3jCIzrHUwWga4sS39sNBk55kNY5Q?e=EGQ7aY

so i am following object detection api for the first time i used mobileNet v1 model and trained it on Tom and jerry and finally convert the graph.pbxt and used it with cv2.dnn.readnetfromtesnsorlfow it was working perfect but now i took another model mobileNet v2 and trained gun detection so inference with tensorflow its working fine but when when i read it with opencv dnn module it throws errors and i don't understand where is the actual problem

The detection architecture used is Faster RCNN

and here is the code in which I am getting errors

import cv2
cv2
  
net = cv2.dnn.readNetFromTensorflow("forzen_inference_graph.pb","graph.pbxt");cv2.dnn.readNetFromTensorflow("forzen_inference_graph.pb","graph.pbxt");

so i am following object detection api for the first time i used mobileNet v1 model and trained it on Tom and jerry and finally convert the graph.pbxt and used it with cv2.dnn.readnetfromtesnsorlfow it was working perfect but now i took another model mobileNet v2 and trained gun detection so inference with tensorflow its working fine but when when i read it with opencv dnn module it throws errors and i don't understand where is the actual problem

The detection architecture used is Faster RCNN

and here is the code in which I am getting errors

import cv2

net = cv2.dnn.readNetFromTensorflow("forzen_inference_graph.pb","graph.pbxt");

Error:

error Traceback (most recent call last) <ipython-input-5-c39683f1b643> in <module>() 2 # Load a model imported from Tensorflow 3 # net = cv2.dnn.readNetFromTensorflow('../frozen_inference_graph.pb', '../graph.pbtxt') ----> 4 net = cv2.dnn.readNetFromTensorflow('frozen_inference_graph.pb', 'graph.pbtxt')

error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\dnn\src\tensorflow\tf_importer.cpp:544: error: (-2:Unspecified error) Input layer not found: FeatureExtractor/MobilenetV2/Conv/weights in function 'cv::dnn::dnn4_v20191202::`anonymous-namespace'::TFImporter::connect'

and here are the models i am using https://1drv.ms/u/s!Ar3jCIzrHUwWga4sS39sNBk55kNY5Q?e=EGQ7aY

so i am following object detection api for the first time i used mobileNet v1 model and trained it on Tom and jerry and finally convert the graph.pbxt and used it with cv2.dnn.readnetfromtesnsorlfow it was working perfect but now i took another model mobileNet v2 and trained gun detection so inference with tensorflow its working fine but when when i read it with opencv dnn module it throws errors and i don't understand where is the actual problem

The detection architecture used is Faster RCNN

and here is the code in which I am getting errors

import cv2

net = cv2.dnn.readNetFromTensorflow("forzen_inference_graph.pb","graph.pbxt");

Error:

error Traceback (most recent call last)
<ipython-input-5-c39683f1b643> in <module>()
2 # Load a model imported from Tensorflow
3 # net = cv2.dnn.readNetFromTensorflow('../frozen_inference_graph.pb', '../graph.pbtxt')
----> 4 net = cv2.dnn.readNetFromTensorflow('frozen_inference_graph.pb', 'graph.pbtxt')
 
'graph.pbtxt')
error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\dnn\src\tensorflow\tf_importer.cpp:544: error: (-2:Unspecified error) Input layer not found: FeatureExtractor/MobilenetV2/Conv/weights in function 'cv::dnn::dnn4_v20191202::`anonymous-namespace'::TFImporter::connect''cv::dnn::dnn4_v20191202::`anonymous-namespace'::TFImporter::connect'