計算機視覺中的資料預處理
阿新 • • 發佈:2018-12-13
wikipedia資料集 預處理
from scipy.io import loadmat path_to_mat = "wikipedia_info/raw_features.mat" matstuff = loadmat(path_to_mat) I_tr = matstuff["I_tr"] #2173*128 T_tr = matstuff["T_tr"] #2173*10 I_te = matstuff["I_te"] #693*128 T_te = matstuff["T_te"] #693*10 get_truth = lambda x: [int(i.split("\t")[-1])-1 for i in open(x).read().split("\n")[:-1]] train_truth = get_truth("wikipedia_info/trainset_txt_img_cat.list") test_truth = get_truth("wikipedia_info/testset_txt_img_cat.list")
lambda的使用:
https://blog.csdn.net/zjuxsl/article/details/79437563
MsCoCo資料集使用
https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocoDemo.ipynb