I have a folder containing multiple subfolders containing .npz files each corresponding to a song track. I want to reshape this into one single .npz or .npy file in the shape of (n_of_songs, x, y, z). I can't seem to find a way. Am I viewing this wrong like, should I just iterate the whole folder then concatenate the .npz files(kind of a brute force), or is there a way to convert the directory itself to a .npz. Thanks
With savez_compressed you are able to save multiple numpy arrays into a single file. See the documentation.
Related
I have a dataset that contains face images and I want to synthesize masks to these images and put them in another folder.
And I need to create a text file that contains pairs of the names of these images (The masked and the non-masked).
Is there any easy way to create this file in python or anything else without having to put the names manually?
I have folders that contains many jpg files.I want them to convert into PDF files.
Every folder should made into a separate PDF.
Please help I am new to python.
And if possible can I do it in one shot.
Possible duplicate
The best method to convert multiple images to PDF so far is to use PIL purely
I have a big HDF5 file with the images and its corresponding ground truth density map.
I want to put them into the network CRSNet and it requires the images in separate files.
How can I achieve that? Thank you very much.
-- Basic info I have a HDF5 file with two keys "images" and "density_maps". Their shapes are (300, 380, 676, 1).
300 stands for the number of images, 380 and 676 refer to the height and width respectively.
-- What I need to put into the CRSNet network are the images (jpg) with their corresponding HDF5 files. The shape of them would be (572, 945).
Thanks a lot for any comment and discussion!
For starters, a quick clarification on h5py and HDF5. h5py is a Python package to read HDF5 files. You can also read HDF5 files with the PyTables package (and with other languages: C, C++, FORTRAN).
I'm not entirely sure what you mean by "the images (jpg) with their corresponding h5py (HDF5) files" As I understand all of your data is in 1 HDF5 file. Also, I don't understand what you mean by: "The shape of them would be (572, 945)." This is different from the image data, right? Please update your post to clarify these items.
It's relatively easy to extract data from a dataset. This is how you can get the "images" as NumPy arrays and and use cv2 to write as individual jpg files. See code below:
with h5py.File('yourfile.h5','r') as h5f:
for i in range(h5f['images'].shape[0]):
img_arr = h5f['images'][i,:] # slice notation gets [i,:,:,:]
cv2.imwrite(f'test_img_{i:03}.jpg',img_arr)
Before you start coding, are you sure you need the images as individual image files, or individual image data (usually NumPy arrays)? I ask because the first step in most CNN processes is reading the images and converting them to arrays for downstream processing. You already have the arrays in the HDF5 file. All you may need to do is read each array and save to the appropriate data structure for CRSNet to process them. For example, here is the code to create a list of arrays (used by TensorFlow and Keras):
image_list = []
with h5py.File('yourfile.h5','r') as h5f:
for i in range(h5f['images'].shape[0]):
image_list.append( h5f['images'][i,:] ) # gets slice [i,:,:,:]
I have an Image dataset consisting of 90k images of size [64,64,3].
I have done some preprocessing to the images, which takes a lot of time if I have to do it from scratch.
Now, how do I store these images/ images as a numpy array for shape[90000,64,64,3] into a csv file, as integers, along with their labels?
Is there any other way (other file type) to store this data?
P.S: I tried np.savetxt but, when I read back the data, I get strings with dots and a lot of the values are lost.
Thank you.
Found it!!
We can use
np.save()
to save the array in a .npy format and load the file using
np.load()
Also, multiple numpy arrays can be saved using
np.savez()
and
np.savez_compressed()
to save them in .npz and a compressed .npz format.
COOL
How do I open .NPY files in python so that I can read them?
I've been trying to run some code I've found but it outputs in .NPY files so I can't tell if its working.
*.npy files are binary files to store numpy arrays. They are created with
import numpy as np
data = np.random.normal(0, 1, 100)
np.save('data.npy', data)
And read in like
import numpy as np
data = np.load('data.npy')
Late reply but I think NPYViewer is a tool that can help you, as it allows you to quickly visualize the contents of .npy files without having to write code. It also has options to visualize 2D .npy arrays as grayscale images as well as 3D point clouds.
Reference: https://github.com/csmailis/NPYViewer