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I've trained the GoogleNet model on custom datasets and trying to deploy in raspberry pi for image classification. Following code for image predictions: import cv2 net = cv2.dnn.readNetFromCaffe( 'deploy.prototxt', 'cyrrup_googlenet_iter_1110.caffemodel') frame = cv2.imread('frame.jpg', cv2.IMREAD_GRAYSCALE) image=cv2.resize(frame, (224, 224)) blob = cv2.dnn.blobFromImage(image,1, (224, 224), (104, 117, 123)) net.setInput(blob) detections = net.forward() print(detections)

The following error I'm getting.

OpenCV Error: Unspecified error (Can't create layer "data" of type "Input") in getLayerInstance, file /home/pi/opencv-3.3.0/modules/dnn/src/dnn.cpp, line 365 Traceback (most recent call last): File "image_detection.py", line 9, in detections = net.forward() cv2.error: /home/pi/opencv-3.3.0/modules/dnn/src/dnn.cpp:365: error: (-2) Can't create layer "data" of type "Input" in function getLayerInstance

Will anyone please help me to debug? If required more information I would like to discuss.

Thanks.

I've trained the GoogleNet model on custom datasets and trying to deploy in raspberry pi for image classification. Following code for image predictions: predictions:

import cv2
net = cv2.dnn.readNetFromCaffe(
'deploy.prototxt',
'cyrrup_googlenet_iter_1110.caffemodel')
frame = cv2.imread('frame.jpg', cv2.IMREAD_GRAYSCALE)
image=cv2.resize(frame, (224, 224))
blob = cv2.dnn.blobFromImage(image,1, (224, 224), (104, 117, 123))
net.setInput(blob)
detections = net.forward()
print(detections)
print(detections)

The following error I'm getting.

OpenCV Error: Unspecified error (Can't create layer "data" of type "Input") in getLayerInstance, file /home/pi/opencv-3.3.0/modules/dnn/src/dnn.cpp, line 365
Traceback (most recent call last):
File "image_detection.py", line 9, in
detections = net.forward()
cv2.error: /home/pi/opencv-3.3.0/modules/dnn/src/dnn.cpp:365: error: (-2) Can't create layer "data" of type "Input" in function getLayerInstance
getLayerInstance