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path = {
# Path to the Ms-CoCo dataset folder (containing annotations and images subfolder)
# http://cocodataset.org/#home
"COCO_ROOT": "/dataset/coco2014/",
# Data set split from "Deep Visual-Semantic Alignments for Generating Image Descriptions" Karpathy et al.
# Coco split can be found here https://cs.stanford.edu/people/karpathy/deepimagesent/coco.zip
"COCO_RESTVAL_SPLIT": "/home/atticus/proj/matching/DSVE/dataset_anns.json",
# Word embedding from the paper "Skip-Thought Vectors" Kiros et al.
# http://www.cs.toronto.edu/~rkiros/models/dictionary.txt
# http://www.cs.toronto.edu/~rkiros/models/utable.npy
# Path to folder containing both files above
"WORD_DICT": './data',
# Path to the weights of classification model (resnet + weldon pooling) pretrained on imagenet
# https://cloud.lip6.fr/index.php/s/sEiwuVj7UXWwSjf
"WELDON_CLASSIF_PRETRAINED": "./data/pretrained_classif_152_2400.pth.tar",
# ## The path below are only required for pointing game evaluation ## #
# Path to the folder containing the images of the visual genome dataset
# https://visualgenome.org/
"VG_IMAGE": "/home/atticus/proj/data/vg/VG_100K/",
# Path to the folder containing the annotation for the the visual genome dataset (image data and regions description)
# https://visualgenome.org/
"VG_ANN": "/home/atticus/proj/data/vg/data"
}