I already split the data into test and training set into the different folder. Now I need to load the patient data. Each patient has 8 images.
def load_datas
I had the same problem but i resolved by changing my path from Data/Train_Data/myDataset/(my images) to Data/Train_Data/(my images) where the script python is in the same path as Data. Hope this help.
Do you have both files and directories inside your path? os.listdir
will list both files and directories, so when you try to open a directory with np.load
it will give that error. You can filter only files to avoid the error:
data_paths = [os.path.join(in_dir, f) for f in os.listdir(in_dir)]
data_paths = [i for i in data_paths if os.path.isfile(i)]
Or all together in a single line:
data_paths = [i for i in (os.path.join(in_dir, f) for f in os.listdir(in_dir)) if os.path.isfile(i)]
It seems that ./data/preprocessed_data/train/Patient009969
is a directory, not a file.
os.listdir()
returns both files and directories.
Maybe try using os.walk()
instead. It treats files and directories separately, and can recurse inside the subdirectories to find more files in a iterative way:
data_paths = [os.path.join(pth, f)
for pth, dirs, files in os.walk(in_dir) for f in files]