Import folder of raster files as a numpy array

Question

I'm attempting to run a CNN model with raster files for environmental observations and I'm trying to import a folder of tiff files as the input for the model. I'm relatively new to python and ML and need help with reading the folder of rasters as a 3d numpy array. Below code has been my attempt at reading the folder with gdal:

flix = r'/Desktop/x'
fliy = r'/Desktop/y'

# in_directory = r'C:\Data'
files_to_process = glob(os.path.join(flix, '*.tif')

for data_path in files_to_process:
    raster_dataset = gdal.Open(data_path, gdal.GA_ReadOnly)

Note: I somehow am receiving a syntax error at the for loop definition itself as well.

Answer 1

As per the comment of @user2856.

flix = r'/Desktop/x'
fliy = r'/Desktop/y'

# in_directory = r'C:\Data'
files_to_process = glob(os.path.join(flix, '*.tif')) # closing bracket for glob()

for data_path in files_to_process:
    raster_dataset = gdal.Open(data_path, gdal.GA_ReadOnly)
    array = raster_dataset.ReadAsArray() # This will read the file as a numpy array. It will also overwrite the array with each iteration of the loop.

You will also need to read the label (fliy) and match it to the corresponding image (flix).