like a lot of other people here and at our YT channel I can just tell the same and am really grateful for your effort and coding skills.
I just wanted to know, if you already wrote the connection/ functionality mentioned above?
It's the one you quoted it here:
"However, I believe the best route to go is to run video detections without the plate flag and instead run them with --crop flag which crops the objects found on screen and saves them as new images. See how it works here Once the video is done processing at a higher FPS all the license plate images will be cropped and saved within detections/crop folder. I have added an easy script within the repository called license_plate_recognizer.py that you can run in order to recognize license plates. Plus this allows you to easily customize the script to further enhance any recognitions. I will be working on linking this functionality automatically in future commits to the repository."
If yes, i'd be grateful for it, otherwise I try to code it by my own :)
Hey Mate,
like a lot of other people here and at our YT channel I can just tell the same and am really grateful for your effort and coding skills.
I just wanted to know, if you already wrote the connection/ functionality mentioned above?
It's the one you quoted it here: "However, I believe the best route to go is to run video detections without the plate flag and instead run them with --crop flag which crops the objects found on screen and saves them as new images. See how it works here Once the video is done processing at a higher FPS all the license plate images will be cropped and saved within detections/crop folder. I have added an easy script within the repository called license_plate_recognizer.py that you can run in order to recognize license plates. Plus this allows you to easily customize the script to further enhance any recognitions. I will be working on linking this functionality automatically in future commits to the repository."
If yes, i'd be grateful for it, otherwise I try to code it by my own :)
thanks again and stay healthy mate!