car_dectector_classifcation
ssd is used for detecting and inception is used for classifying
dataset
cars dataset
the dataset contain labels and rectangles
detector part
Here ssd is used for detecting The code is written by CarND-Vehicle-Detection
classification part
Here InceptionV3 is used for classifying,the inputs come from ssd network
training:8144 pics
testing:8041
training
if you want to run the code,some path you should change to fit your own dataset
First:run create_list.py
Second:run train.py
test
run prediction.py
examples
example1:
example2:
