Hello, After reading ,reading and reading and some working code i want to take some steps back and ask some advice. To solve car detection i currently see two way
- Training (several) cascade classifiers
- Import a dnn with ssd capability and get the detection results from it
Is training classifiers any good for this kind of object(car)? Should i stick to the dnn - this gives me the most accurate results right now.
Thanks a lot, Greetings, Holger