问题
I am using this code for object detection and it outputs 100 boxes even though in most pictures there are 0-5 objects. The detection takes 5 seconds on a 250X250 image. Would cutting the number of objects to be detected speed up the process, and if yes is there a way to do it?
回答1:
Logically it would, i cant say exactly by how much. You can retrain the model to only fewer objects that you are interested in. For training you will also specify objects interested in a file with extension *.pbtxt which has list of objects specified.
Few Links which talk about retraining in detail https://pythonprogramming.net/training-custom-objects-tensorflow-object-detection-api-tutorial/
https://towardsdatascience.com/building-a-toy-detector-with-tensorflow-object-detection-api-63c0fdf2ac95
https://medium.com/@dana.yu/training-a-custom-object-detection-model-41093ddc5797
来源：https://stackoverflow.com/questions/50866894/reduce-number-of-objects-a-pretrained-tensorflow-model-detects