import numpy as np | |
def npy_to_fvecs(npy_file, fvecs_file): | |
# 从npy文件中加载数组 | |
array = np.load(npy_file) | |
data_to_fvecs(array, fvecs_file) | |
def data_to_fvecs(array, fvecs_file): | |
# 打开fvecs文件进行写入 | |
with open(fvecs_file, 'wb') as f: | |
# 获取数组的形状 | |
num_vectors, vector_dim = array.shape | |
# 将每个向量写入fvecs文件 | |
for vector in array: | |
# 向量的维度 | |
f.write(np.array(vector_dim, dtype=np.int32).tobytes()) | |
# 向量 | |
f.write(vector.astype(np.float32).tobytes()) | |
print("转换完成!") | |
# 调用函数进行转换 | |
# npy_file = "input.npy" # 输入的npy文件路径 | |
# fvecs_file = "output.fevecs" | |
# npy_to_fvecs(npy_file, fvecs_file) | |
if __name__=='__main__': | |
npy_file = '/tmp/test.npy' # 输入的npy文件路径 | |
origin_file = "sift1m/sift_query.fvecs" | |
from sift1m.loading import fvecs_read | |
dataset,_,_ = fvecs_read(origin_file) | |
np.save(npy_file, dataset) | |
fvecs_file = "/tmp/output.fevecs" | |
npy_to_fvecs(npy_file, fvecs_file) |