Comments (1)
Hi, sorry for late response.
In this project, license plates can be detected from videos with a single car and not multiple. Also it is using CCA to detect plate, which finds connected regions in the video and if not found gives vague result.
You can check the article https://towardsdatascience.com/number-plate-detection-with-supervisely-and-tensorflow-part-1-e84c74d4382c which uses tensorflow to detect license plates. This might be helpful.
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Related Issues (20)
- Can i use this for real time HOT 2
- The output is not correct HOT 1
- Not getting predicted characters same as segmented characters HOT 1
- LicensePlateDetector-master\SegmentCharacters.py", line 10, in <module> license_plate = np.invert(DetectPlate.plate_like_objects[0]) IndexError: list index out of range HOT 6
- Output not correct HOT 5
- How to train my own data? HOT 1
- Trying to unpickle estimator SVC HOT 1
- license_plate = np.invert(DetectPlate.plate_like_objects[0]) IndexError: list index out of range HOT 2
- FileNotFoundError - cannot find ./output/frame106.jpg HOT 2
- gray and silver car not working. HOT 13
- Issue with training?
- Windows 10 Fresh Install HOT 2
- how to work on image..... it only take videos HOT 1
- List index out of range HOT 6
- Index out of range HOT 6
- Can't replicate the test results HOT 2
- testing accuracy is low HOT 1
- Multiple Vehicles HOT 2
- Where are the cv2 file? HOT 2
- increase images in tarining module HOT 1
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