appleleaves
appleleaves
As it was fixed in C3ex2, the ex4 should add the ValueError() in the line7.
> import keras > from classification_models.tfkeras import Classifiers > > ResNet18, preprocess_input = Classifiers.get('resnet18') > base_model = ResNet18(input_shape=(224,224,3)) > base_model.load_weights('resnet18_imagenet_1000.h5') > base_model.compile( > optimizer="sgd", > loss=["categorical_crossentropy"], > metrics=["categorical_accuracy"], > )...
the result calculate by python hpatches_eval.py on the task retrieval seem to output the mauc instead of mAP, which can explain why the results is different in the paper. Thanks
If we turn off the scale/rotation invariance functionalities of ORB and BRIEF, these two descriptors should be the same. However, it shows different performance in the paper. Why?
Thanks for providing this huge dataset. I want to download hbench-v85-bin.tar.gz to run the matlab code, but failed. Please update the website: [www.robot.ox.ac.uk/~karel/blobs/${PACKAGE_BIN}]
I made a mistake, setting and the descriptors a same value, and get an mAP=1 in the retrieval task, using Python code. I wonder why? It must be a big...
In the file main_binary.py line254, there is a attr as 'org' in p. What does it means and when is it assigned? I cannot find any clues from the whole...
The class ResNet_imagenet in file resnet_binary.py line 155, the bn2,bn3,tanh1,tanh2 and logsoftmax are missing. Also, would you like to share the training log of imagenet on resnet18?
I read from https://docs.larq.dev/zoo/ that the RealToBinaryNet reach 65% accuracy and reach the SOTA. I really appreciate this and want to train the model to learn about it. I also...
After reading your paper, I understand that the loss can be lower than 0. However, will this property, when do I know that the training process has come to an...