deep-retrieval
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π Image retrieval using deep learning of global descriptors.
I am trying to compile the caffe model adding ROI pooling layer, however, getting some errors. It would be great if someone provide any guideline how to do that. Thanks...
def rmac_regions(W, H, L):#θΏιLδ½Ώη¨ηζ―3 ovr = 0.4 # desired overlap of neighboring regions steps = np.array([2, 3, 4, 5, 6, 7], dtype=np.float) # possible regions for the long dimension w...
I have modified the caffe source code according to > Region of Interest pooling layer (ROIPooling). This is the same layer used by fast RCNN and faster RCNN. A C++...
I finally added the roi pooling and normalize layers into the official version of caffe, and compile it with success, and get the features of query and dataset, together with...
there is no pretrained model Can you post it out
I am trying to run this repo and see that roi_pooling_param is not found. Where can I download this file from? ``` python test.py --gpu 0 --S 800 --L 2...
how can train the premodel?