如何将Numpy数组数组存储在CSV文件中？
我有一个图像名称，图像路径，它是对应的CNN特征向量（一个numpy数组）。并且有很多图像，这意味着我有一个名称，路径，向量的列表（每个列表是尺寸（1、2048、14、14）和float32的数据类型）。我必须有效地存储和访问。我正在考虑将其存储在CSV文件中。当我这样做时，我无法转换从str的numpy阵列。请让我知道如何进行此操作，谢谢。
data = pd.DataFrame(columns=['name', 'path', 'vector'])
data['name'] = image_names
data['path'] = image_paths
for i in range(len(image_paths)):
out = encoder(image_paths[i] #(1,2048,14,14)
data['vector'][i] = out
data.to_csv('encoding.csv', sep = ',', na_rep='Unknown')
dr =pd.read_csv('encoding.csv')
for i in range(dr.shape[0]):
c = dr['vector'][i]
C是str对象。不确定如何将其转换为numpy数组。
I have an image name, image path and it's corresponding cnn feature vector (a numpy array). And there are many images, meaning I have a list of names, paths, vectors (each being numpy array of dimension (1, 2048, 14, 14) and float32 as data type). I have to store and access in an efficient way. I was thinking of going with storing it in a csv file. When I did that, I am unable to convert back the numpy array from str. Kindly let me know how to proceed with this, thank you.
data = pd.DataFrame(columns=['name', 'path', 'vector'])
data['name'] = image_names
data['path'] = image_paths
for i in range(len(image_paths)):
out = encoder(image_paths[i] #(1,2048,14,14)
data['vector'][i] = out
data.to_csv('encoding.csv', sep = ',', na_rep='Unknown')
dr =pd.read_csv('encoding.csv')
for i in range(dr.shape[0]):
c = dr['vector'][i]
c is a str object. Unsure how to convert this to numpy array.
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您可以使用
numpy.save保存numpy数组，如在这里。您可以将图像名称和图像路径保存为.json文件（只需将.npy文件的名称与相同的名称。 JSON文件以允许更轻松的搜索）。You could save the numpy array using
numpy.saveas shown in the docs here. You could save the image name and image path as a.jsonfile (and just make the name of the.npyfile the same as the name as the.jsonfile to allow for easier searching).