Closed Fahad-Alsabr closed 4 years ago
I have made some changes in darknet files to support opencv images as well. Do make those in your code or simply copy the darknet folder from
I've downloaded the repo and I have the same error , do you think the problem with the dependency ?
keras : 2.1.5 tenserflow : 1.15.0 opencv : 2.4.9.1 Numpy : 1.16.6
Keras-2.2.4 Tensorflow-1.5.0 OpenCV-4.1 Numpy-1.19 I have used these dependencies
Also, I think the error is maybe due to empty source file path. Create directories named "test_input" and "test_output" for storing intermediate outputs
Yes thank you it worked for me , the problem has been solved by creating a Directories named "test_input" and "test_output" . do you think it can be uses for real time plate detection ?
Real time recognition is pretty laggy unless you have really good hardware resources. I was able to get an fps of 2
i tried to use the video.py on my local device , but shows me error
OpenCV Error: Unknown error code -10 (Raw image encoder error: Empty JPEG image (DNL not supported)) in throwOnEror, file /build/opencv-ys8xiq/opencv-2.4.9.1+dfsg/modules/highgui/src/grfmt_base.cpp, line 131 Traceback (most recent call last): File "video2.py", line 237, in <module> _, buffer = cv2.imencode('.jpg', reads) cv2.error: /build/opencv-ys8xiq/opencv-2.4.9.1+dfsg/modules/highgui/src/grfmt_base.cpp:131: error: (-10) Raw image encoder error: Empty JPEG image (DNL not supported) in function throwOnEror
i used the code of this repo https://github.com/sergiomsilva/alpr-unconstrained
and it worked for me but for the video.py in your repo it shows me that error , any idea to solve this problem?