This is an a DIY Article on building a license plate detector using attention OCR.
We deep dive in with this article on how you can automate your data entry work with the help of deep learning based OCR. It speaks about attention mechanisms, spatial transformer networks and how they are applied for any text recognition task.
I always seen Show HN for interactive things, not articles (which I would say this is), thinking specifically about this part from the Show HN Guidelines:
> Show HN is for something you've made that other people can play with. HN users can try it out, give you feedback, and ask questions in the thread.
it's in the attention-ocr fork of the same account. the link is mentioned in the README file (the link to number_plates.py file). go into models/research/attention_ocr/python/datasets/data/number_plates. you'll find the charset-labels.txt file there.
Object Detection has seen several recent developments and reached a wide audience but a very important and not widely known extension of the OD is its applications in Object Tracking.
This blog explains the theory and challenges in object tracking, how to use pre-trained object detection models to identify and count unique objects and track their trajectories over several frames using the DeepSORT algorithm
This blog explains StyleGANs (by Nvidia Research) and covers some of the clever techniques (Adaptive Instance Normalization, Style Mixing, Stochastic Noise) that you’d need to generate images that you exactly want. Want to see what you’d look like when you are old? The blog also contains all the code you need to experiment on your images.
Most real-time video processing systems/techniques only address relationships of objects within the same frame, disregarding time information. Optical flow accounts for this temporal relationship between frames.
Advances in Optical Flow have changed the game in Object Tracking and Human Activity Recognition in videos.
This article explains the fundamentals and gives you the code to try it out for yourself.
This is an a DIY Article on building a license plate detector using attention OCR.
We deep dive in with this article on how you can automate your data entry work with the help of deep learning based OCR. It speaks about attention mechanisms, spatial transformer networks and how they are applied for any text recognition task.