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, winwin,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)