数据提取过程为什么找不到文件夹，我已经创建了但是找不到

[qqbangbangbang]

Traceback (most recent call last):
File "dataprocessing.py", line 50, in
h5f = h5py.File(os.path.join('.\data',
File "/root/miniconda3/envs/cddfuse/lib/python3.8/site-packages/h5py/_hl/files.py", line 562, in init
fid = make_fid(name, mode, userblock_size, fapl, fcpl, swmr=swmr)
File "/root/miniconda3/envs/cddfuse/lib/python3.8/site-packages/h5py/_hl/files.py", line 241, in make_fid
fid = h5f.create(name, h5f.ACC_TRUNC, fapl=fapl, fcpl=fcpl)
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py/h5f.pyx", line 122, in h5py.h5f.create
FileNotFoundError: [Errno 2] Unable to synchronously create file (unable to open file: name = '.\data/MSRS_train_imgsize_128_stride_200.h5', errno = 2, error message = 'No such file or directory', flags = 13, o_flags = 242)

[qqbangbangbang]

./data/MSRS_train_imgsize_128_stride_200.h5 为什么创建不了这个呢

[qqbangbangbang]

在测试阶段，这个错误不知道该怎么解决
Traceback (most recent call last):
File "test_IVF.py", line 53, in
img_save(fi, img_name.split(sep='.')[0], test_out_folder)
File "/root/autodl-tmp/MMIF-CDDFuse-main/utils/img_read_save.py", line 21, in img_save
imsave(os.path.join(savepath, "{}.png".format(imagename)),image)
File "/root/miniconda3/envs/cddfuse/lib/python3.8/site-packages/skimage/io/_io.py", line 143, in imsave
return call_plugin('imsave', fname, arr, plugin=plugin, **plugin_args)
File "/root/miniconda3/envs/cddfuse/lib/python3.8/site-packages/skimage/io/manage_plugins.py", line 207, in call_plugin
return func(*args, **kwargs)
File "/root/miniconda3/envs/cddfuse/lib/python3.8/site-packages/imageio/v2.py", line 397, in imwrite
return file.write(im, **kwargs)
File "/root/miniconda3/envs/cddfuse/lib/python3.8/site-packages/imageio/core/v3_plugin_api.py", line 367, in exit
self.close()
File "/root/miniconda3/envs/cddfuse/lib/python3.8/site-packages/imageio/plugins/pillow.py", line 144, in close
self._flush_writer()
File "/root/miniconda3/envs/cddfuse/lib/python3.8/site-packages/imageio/plugins/pillow.py", line 485, in _flush_writer
primary_image.save(self._request.get_file(), **self.save_args)
File "/root/miniconda3/envs/cddfuse/lib/python3.8/site-packages/PIL/Image.py", line 2439, in save
save_handler(self, fp, filename)
File "/root/miniconda3/envs/cddfuse/lib/python3.8/site-packages/PIL/PngImagePlugin.py", line 1282, in _save
raise OSError(msg) from e
OSError: cannot write mode F as PNG

[KeyWu]

./data/MSRS_train_imgsize_128_stride_200.h5 为什么创建不了这个呢

在目录下建一个data文件夹就行

[1JKW1]

Here's the code I modified to run without errors！
import os
import h5py
import numpy as np
from tqdm import tqdm
from skimage.io import imread

def get_img_file(file_name):
imagelist = []
for parent, dirnames, filenames in os.walk(file_name):
for filename in filenames:
if filename.lower().endswith(('.bmp', '.dib', '.png', '.jpg', '.jpeg', '.pbm', '.pgm', '.ppm', '.tif', '.tiff', '.npy')):
imagelist.append(os.path.join(parent, filename))
return imagelist

def rgb2y(img):
y = img[0:1, :, :] * 0.299000 + img[1:2, :, :] * 0.587000 + img[2:3, :, :] * 0.114000
return y

def Im2Patch(img, win, stride=1):
k = 0
endc = img.shape[0]
endw = img.shape[1]
endh = img.shape[2]
patch = img[:, 0:endw-win+0+1:stride, 0:endh-win+0+1:stride]
TotalPatNum = patch.shape[1] * patch.shape[2]
Y = np.zeros([endc, win*win,TotalPatNum], np.float32)
for i in range(win):
for j in range(win):
patch = img[:,i:endw-win+i+1:stride,j:endh-win+j+1:stride]
Y[:,k,:] = np.array(patch[:]).reshape(endc, TotalPatNum)
k = k + 1
return Y.reshape([endc, win, win, TotalPatNum])

def is_low_contrast(image, fraction_threshold=0.1, lower_percentile=10,
upper_percentile=90):
"""Determine if an image is low contrast."""
limits = np.percentile(image, [lower_percentile, upper_percentile])
ratio = (limits[1] - limits[0]) / limits[1]
return ratio < fraction_threshold

data_name="MSRS_train"
img_size=128 #patch size
stride=200 #patch stride

IR_files = sorted(get_img_file(r"/MSRS_train/train/ir"))
VIS_files = sorted(get_img_file(r"/MSRS_train/train/vi"))

assert len(IR_files) == len(VIS_files)

#create the directory if it doesn't exist
output_dir = os.path .join('data')
if not os.path.exists(output_dir):
os.makedirs(output_dir)

file_path = os.path.join(output_dir, data_name + 'imgsize' + str(img_size) + "stride" + str(stride) + '.h5')

h5f = h5py.File(file_path, 'w')
h5_ir = h5f.create_group('ir_patchs')
h5_vis = h5f.create_group('vis_patchs')
train_num=0

for i in tqdm(range(len(IR_files))):
I_VIS = imread(VIS_files[i]).astype(np.float32).transpose(2,0,1)/255. # [3, H, W] Uint8->float32
I_VIS = rgb2y(I_VIS) # [1, H, W] Float32
I_IR = imread(IR_files[i]).astype(np.float32)[None, :, :]/255. # [1, H, W] Float32

    # crop    
    I_IR_Patch_Group = Im2Patch(I_IR,img_size,stride)
    I_VIS_Patch_Group = Im2Patch(I_VIS, img_size, stride)  # (3, 256, 256, 12)
    
    for ii in range(I_IR_Patch_Group.shape[-1]):
        bad_IR = is_low_contrast(I_IR_Patch_Group[0,:,:,ii])
        bad_VIS = is_low_contrast(I_VIS_Patch_Group[0,:,:,ii])
        # Determine if the contrast is low
        if not (bad_IR or bad_VIS):
            avl_IR= I_IR_Patch_Group[0,:,:,ii]  #  available IR
            avl_VIS= I_VIS_Patch_Group[0,:,:,ii]
            avl_IR=avl_IR[None,...]
            avl_VIS=avl_VIS[None,...]

            h5_ir.create_dataset(str(train_num),     data=avl_IR, 
                            dtype=avl_IR.dtype,   shape=avl_IR.shape)
            h5_vis.create_dataset(str(train_num),    data=avl_VIS, 
                            dtype=avl_VIS.dtype,  shape=avl_VIS.shape)
            train_num += 1        

h5f.close()

with h5py.File(file_path,"r") as f:
for key in f.keys():
print(f[key], key, f[key].name)

[HaiyanggJiang]

Thank you bro!

[xiaozhongrui]

还是不行呀 这个下载的大小为0KB有佬来解释下吗

[YooLiuXiao]

创建data文件夹后，然后.\data相对路径改成绝对路径