Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Accuracy of the Model #7

Open
btomtom5 opened this issue Dec 3, 2018 · 4 comments
Open

Accuracy of the Model #7

btomtom5 opened this issue Dec 3, 2018 · 4 comments

Comments

@btomtom5
Copy link

btomtom5 commented Dec 3, 2018

Do you have a demo of model by any chance? I was having trouble getting the code to run.

OpenCV: Couldn't read video stream from file "samples/IU.avi" Traceback (most recent call last): File "test_video.py", line 82, in <module> single_main() File "test_video.py", line 29, in single_main mark_detector = MarkDetector() File "/face_landmark_dnn/testing/mark_detector.py", line 22, in __init__ self.face_detector = FaceDetector() File "ace_landmark_dnn/testing/mark_detector.py", line 162, in __init__ self.face_net = cv2.dnn.readNetFromCaffe(dnn_proto_text, dnn_model) cv2.error: OpenCV(3.4.4) /Users/travis/build/skvark/opencv-python/opencv/modules/dnn/src/caffe/caffe_io.cpp:1121: error: (-2:Unspecified error) FAILED: fs.is_open(). Can't open "/Users/seerslab/projects/face_landmark_dnn/src/assets/deploy.prototxt" in function 'ReadProtoFromTextFile'

@junhwanjang
Copy link
Owner

mark_detector.py
Line 159,160: you need to change it as relative path in asset folder

@junhwanjang
Copy link
Owner

@btomtom5 I just changed it. Thanks:)

@sarratouil
Copy link

@junhwanjang can I detect just the iris of eyes as you see ?
iris

@hao-qiang
Copy link

@junhwanjang can I detect just the iris of eyes as you see ?
iris

Could you tell me where can I get the dataset as you show? Thanks a lot.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

4 participants