Importing trained model directly using python opencv

[abhianand7]

Python: 3.6.9
opencv-python==4.2.0.34

Rather than trying to build this project with so little documentation, I decided to directly import the model in cv2 python but no success so far.

import cv2

proto_path = 'deploy.prototxt'
model_path = 'face_mask.caffemodel'

model = cv2.dnn.readNetFromCaffe(proto_path, model_path)

image_file = 'sample_images/0000.jpg'
img = cv2.imread(image_file)

image_blob = cv2.dnn.blobFromImage(img)

model.setInput(image_blob)

prediction = model.forward()

Error:
cv2.error: OpenCV(4.2.0) /io/opencv/modules/dnn/src/dnn.cpp:3084: error: (-215:Assertion failed) total(os[i]) > 0 in function 'getLayerShapesRecursively'

Did anyone had any success doing this or what else can be done to use the pre-trained model?

[ZPBerg]

Try
image_blob = cv2.dnn.blobFromImage(img, 1, (224, 224), (127.5, 127.5, 127.5))

deploy.prototxt indicates that the input should be a 224 x 224 image, and I got the 127.5 from here: https://github.com/didi/maskdetection/blob/master/lib/src/FaceMaskDetector.cpp#L72