Detects license plate of car and recognizes its characters
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I am a Software Engineer based out of Hyderabad. I run a youtube channel 🎥 on programming stuff and I try to learn in this process. I sometimes blog (ML/AI stuff) and tweet (mostly dog/cat videos) 😛
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hi @apoorva-dave your project works best for the already input videos and images but whenever i try to take video created by me as input the bounding boxes are not created and the following error comes ,could u please provide any solution for this issue.
@apoorva-dave
the car number is not given acquired in console. see the frist picture .Whats wrong actually.
Hi, @apoorva-dave I am trying to detect licence plate number using your code and it is working like a charm for videos but I am facing some issue while detecting number from an image. In DetectPlate.py I am trying to pass the image path in this line car_image =image from my folder But after this, I am getting the following error.
LicensePlateDetector-master\SegmentCharacters.py", line 10, in license_plate = np.invert(DetectPlate.plate_like_objects[0]) IndexError: list index out of range
I tried to rectify by checking other files but no luck yet. Any help would be highly appreciated.
why am i getting list index out of range please ??
When when I run the code from DetectPlate.py on the first picture from README.md, this is the result I get
On car6.jpg and car.png it works perfectly.
I also comment this part of the code
car_image = imutils.rotate(car_image, 270)Can the shape of the image affect the accuracy?
Please help.
I'm not sure what the issue is here. I have decent character segmentation from the license plate and the training model reported good accuracy. Any tips?
Hey Apoorva Dave
Where are the cv2 which is imported in DetectPlate.py?
Firstly, I am very interested in your license plate recognition project and I believe it is a very useful tool. However, I encountered some issues while trying to set up and run the project.
In the README.md file, you mentioned training the model using SVC and provided a pre-trained model. However, I believe it would be very helpful for users like me if more detailed steps on how to train the model and suggestions on how to adjust the model parameters were provided.
In addition, I would also like to know more about how to train the model using my own dataset. I believe this would make the project more versatile and able to handle more real-world situations.
Lastly, I would like to ask if it is possible to provide a more detailed tutorial on how to set up and run this project from scratch? I believe this would be very helpful for novice users.
Thank you for your time and I look forward to your reply.
min_row, min_col, max_row, max_col = region.bbox
ValueError: too many values to unpack (expected 4)
I use same image and and mode that you posted in git but for me it predict bad for example(7 as Z 3 as 8 and S as 8) so please use more data to training and reupload the model it will be better for beginner like me
otherwise the everything is fine model as well as segment extraction is good
Hi, When i am giving input of multiple cars(through a video)but it is generating only one frame of any random car. it should shows every car. How can i detect multiple cars in the video..
Run in cmd:
ECHO Python python-3.8.5-amd64
ECHO Git-2.28.0-64-bit
CD /D "D:\Wide\jetoil_mod"
"D:\DEV\python385winx64\python.exe" -m pip install --upgrade pip
pip3 install virtualenv
virtualenv --python "D:\DEV\python385winx64\python.exe" venv
.\venv\Scripts\activate
REM GOTO method2
git clone https://github.com/apoorva-dave/LicensePlateDetector
CD LicensePlateDetector
pip3 install -r requirements.txt
python PredictCharacters.py
Get error:
Traceback (most recent call last):
File "PredictCharacters.py", line 1, in <module>
import SegmentCharacters
File "D:\Wide\jetoil_mod\LicensePlateDetector\SegmentCharacters.py", line 4, in <module>
from skimage.measure import regionprops
File "D:\Wide\jetoil_mod\venv\lib\site-packages\skimage\__init__.py", line 125, in <module>
from .util.dtype import (img_as_float32,
File "D:\Wide\jetoil_mod\venv\lib\site-packages\skimage\util\__init__.py", line 17, in <module>
from ._map_array import map_array
File "D:\Wide\jetoil_mod\venv\lib\site-packages\skimage\util\_map_array.py", line 2, in <module>
from ._remap import _map_array
ImportError: DLL load failed while importing _remap: The specified module could not be found.
Fix by editing SegmentCharacters.py and import matplotlib before skimage
import numpy as np
import matplotlib
from skimage.transform import resize
from skimage import measure
from skimage.measure import regionprops
import matplotlib.patches as patches
import matplotlib.pyplot as plt
import DetectPlate
filename = './car.png'
when I change this to image it shows this error:
FileNotFoundError: No such file: 'I:\clients\NumperPlateExtractor\output\frame-1.jpg'
I'm sorry, but I am not very familiar with digital image processing.
Could you explain to me further how can I use different input, eg, my own video?
It didn't detect the car plate properly, sometimes it gave me index out of range, I am guessing this is because it completely did not detect something at all in the video.
Is it because I have to train the program to detect the font of my car plate in my video?
If so, how can I do that?
Sorry and thank you, would really appreciate your help because this is very important to me.
hello,
i really like your work and your approach to resolving the challenges in this field.
however, while using your solution, I found several issues
while, gray, and silver-painted car will not work, or may work but will be detected several plate even if it's not a plate.
i can share with you the pictures and videos i have been using if you wanna improve your solution .
thank you
Hi thanks for your work, but i try to train my own data, what details in .py need to modify?
thanks
Traceback (most recent call last):
File "PredictCharacters.py", line 1, in
import SegmentCharacters
File "E:\License\LicensePlateDetector-master\SegmentCharacters.py", line 11, in
license_plate = np.invert(DetectPlate.plate_like_objects[0])
IndexError: list index out of range
What is the content of DetectPlate.plate_like_objects[]? and how to fix issues?
Can you tell me how to recognize license plate with two line characters in the license plate?
Hi there
I am a student of bachelors and i am making a project related to your work, i am looking for a code in which an image of a video of a car is given as an input and it in return it gives is number plate,
i came across your code and it was really good but the problem is that it is not extracting right number on the number plate, if i give it more images in training data will it become correct then?
or if you can suggest me something, i will be very glade
And also if you know some other codes or work related to my project, you can suggest me i will really glad
Thank you so much
Looking forword to your reponse
UserWarning: Trying to unpickle estimator SVC from version 0.19.1 when using version 0.19.2. This might lead to breaking code or invalid results. Use at your own risk. UserWarning)
I wonder if you can provide us with more information or support us with Scikit-learn v0.19.1 as i can assume it causes that proplem
When we try it for image it shows error index out of range.
What changes should be made to handle this error in case of image taken?
Traceback (most recent call last):
File "DetectPlate.py", line 26, in
car_image = imread("./output/frame%d.jpg"%(count-1), as_grey=True)
File "/usr/local/lib/python2.7/dist-packages/skimage/io/_io.py", line 97, in imread
img = call_plugin('imread', fname, plugin=plugin, **plugin_args)
File "/usr/local/lib/python2.7/dist-packages/skimage/io/manage_plugins.py", line 209, in call_plugin
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/skimage/io/_plugins/pil_plugin.py", line 23, in imread
im = Image.open(fname)
File "/usr/lib/python2.7/dist-packages/PIL/Image.py", line 2258, in open
fp = builtins.open(filename, "rb")
IOError: [Errno 2] No such file or directory: './output/frame-1.jpg'
When I run predict characters file it does not predict correct characters. And i dont know how the model works so how to resolve that
When training the data set if we increase the no of images give an error
raise FileNotFoundError("No such file: '%s'" % fn)
FileNotFoundError: No such file: 'C:\sw\pyproject\LicensePlateDetector-master\train20X20\0\0_11.jpg'
Hi, when I try to run the code on the default video12.mp4, it shows me two images and then throws and error.
$ python PredictCharacters.py
C:\Users\mohit\Anaconda3\lib\site-packages\skimage\filters\thresholding.py:271: UserWarning: threshold_otsu is expected to work correctly only for grayscale ima ges; image shape (1080, 1920, 3) looks like an RGB image
warn(msg.format(image.shape))
Traceback (most recent call last):
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\backends\backend_q t5.py", line 519, in _draw_idle
self.draw()
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\backends\backend_a gg.py", line 433, in draw
self.figure.draw(self.renderer)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\artist.py", line 5 5, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\figure.py", line 1 475, in draw
renderer, self, artists, self.suppressComposite)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\image.py", line 14 1, in _draw_list_compositing_images
a.draw(renderer)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\artist.py", line 5 5, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\axes\_base.py", li ne 2607, in draw
mimage._draw_list_compositing_images(renderer, self, artists)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\image.py", line 14 1, in _draw_list_compositing_images
a.draw(renderer)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\artist.py", line 5 5, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\image.py", line 59 3, in draw
renderer, renderer.get_image_magnification())
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\image.py", line 84 1, in make_image
unsampled=unsampled)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\image.py", line 50 6, in _make_image
self.get_filternorm() or 0.0, self.get_filterrad() or 0.0)
ValueError: 3-dimensional arrays must be of dtype unsigned byte, unsigned short, float32 or float64
Traceback (most recent call last):
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\backends\backend_q t5.py", line 519, in _draw_idle
self.draw()
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\backends\backend_a gg.py", line 433, in draw
self.figure.draw(self.renderer)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\artist.py", line 5 5, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\figure.py", line 1 475, in draw
renderer, self, artists, self.suppressComposite)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\image.py", line 14 1, in _draw_list_compositing_images
a.draw(renderer)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\artist.py", line 5 5, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\axes\_base.py", li ne 2607, in draw
mimage._draw_list_compositing_images(renderer, self, artists)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\image.py", line 14 1, in _draw_list_compositing_images
a.draw(renderer)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\artist.py", line 5 5, in draw_wrapper
return draw(artist, renderer, *args, **kwargs)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\image.py", line 59 3, in draw
renderer, renderer.get_image_magnification())
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\image.py", line 84 1, in make_image
unsampled=unsampled)
File "C:\Users\mohit\Anaconda3\lib\site-packages\matplotlib\image.py", line 50 6, in _make_image
self.get_filternorm() or 0.0, self.get_filterrad() or 0.0)
ValueError: 3-dimensional arrays must be of dtype unsigned byte, unsigned short, float32 or float64
(1080, 1920, 3)
Traceback (most recent call last):
File "PredictCharacters.py", line 1, in <module>
import SegmentCharacters
File "D:\Applied Machine Learning\LicensePlateDetector\SegmentCharacters.py", line 7, in <module>
import DetectPlate
File "D:\Applied Machine Learning\LicensePlateDetector\DetectPlate.py", line 7 6, in <module>
min_row, min_col, max_row, max_col = region.bbox
ValueError: too many values to unpack (expected 4)
I cloned the repository and tried to run the project with Pycharm IDE. But its throwing a FileNotFoundError: No such file: '...\LicensePlateDetector\output\frame106.jpg'
please help, I'm a beginner with python and ML
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