Open koutilya-pnvr opened 6 years ago
Also is the reported 93.2% accuracy on validation dataset or on the training dataset?
hello,I am very interested in your work on RA-CNN Implemented by pytorch, but as a newbie, how do I prepare to train the dataset, I have already got the entire dataset of Compcars, you have not explained clearly in Readme. Training, can you tell the details, thank you!
Hi,
In the ReadMe, it was mentioned that you were able to get an accuracy of 93.2% (top-5) for make-model classification. I am wondering how much data you used. Is it all of the 136k images or the data given as part of classification_train.txt and classification_test.txt (Just 431 makes-models pairs out of 1716)?
Also is the deep_car.py the main code for the make-model classification? Because in the .ipynb notebook file, you only seem to consider a make-model pair only if it has atleast 125 images (3rd box in the .ipynb file, if num < 125: continue). That is not the case i the deep_car.py python file though. This is a bit confusing.
Will be great if you can clarify both. Thanks in advance. .