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Come on, please make a minimal effort if you want to get some help!

Anyway, don't expect an answer to a question like that! It depends on many factors:

• What do you want to detect? (for detecting simple shapes you don't need complex algorithms)
• Do you really need full HD? (hint: no. anyway, no DNN works on full HD).
• What precision do you need?
• Do you need 25 fps real time? (hint: no. your scene won't change a lot in 1 second, so no need to analyse 25 times the same image).
• What kind of hardware do you have? (if you have a strong desktop computer and nvidia GPU, nothing will beat a DNN on CUDA. If you have a raspberry pi or a basic laptop, don't even dream about DNN).
• Do you have lot of training data? (DNNs will overfit on small database)

Come on, please make a minimal effort if you want to get some help!

Anyway, don't expect an answer to a question like that! It depends on many factors:

• What do you want to detect? (for detecting simple shapes you don't need complex algorithms)
• Do you really need full HD? (hint: no. anyway, no DNN works on full HD).HD; they resample the image to a lower resolution).
• What precision do you need?need for the object identification?
• Do you need 25 fps real time? (hint: no. your scene won't change a lot in 1 second, so no need to analyse 25 times the same image).
• What kind of hardware do you have? (if you have a strong desktop computer and nvidia GPU, nothing will beat a DNN on CUDA. If you have a raspberry pi or a basic laptop, don't even dream about DNN).
• Do you have lot of training data? (DNNs will overfit on small database)