sourabh2k15

now we have this paper which has diverse enough dataset x model combinations and tests popular optimizers with well-defined search spaces + ranks them based on performance profile scores :...

No it does both localization and recognition as per my understanding. It is trained using images generated using gen.py . The names of the images are numplate_1.jpg, so 1/0 indicate...

I am an undergraduate student working on my final year project of automatic number plate recognition. So far I have written python scripts using opencv that seperate out license plate...

It is a neural network , so you do not have intermediate steps , you just have a set of weights as an output that can be used by detect.py...

I have pretrained weights for UK number plates ( mediafire link already available in one of the issues in this repo ) and Indian number plates ( trained it for...

You need to edit code generating part , which generates random number plates def generate_code(): On Fri, Apr 7, 2017 at 2:32 PM, novsub wrote: > What do you need...

Also we found a better solution using edge detection for localization and tesseract for recognition On Fri, Apr 7, 2017 at 8:02 PM, sourab reddy wrote: > You need to...

Sometimes in the training data the number plate will be completely visible, but it will be labelled 0 because the size is not according to the requirements. You can go...

You can edit function generate_im() in gen.py and set min_scale and max_scale to 0 and 1 respectively. Haven't tried it , let me know if this works.

you will also have to adjust sizes in model.py ( change every 7 to 8) and also modify the read_data function in train.py , it takes in file names in...