gdal new test

app.py

@@ -4,6 +4,7 @@ from io import BytesIO, TextIOWrapper
 import numpy as np
 
 from deepdespeckling.despeckling import get_denoiser, get_model_weights_path
+from deepdespeckling.utils.load_cosar import cos2mat
 from deepdespeckling.utils.constants import PATCH_SIZE, STRIDE_SIZE
 
 st.set_page_config(layout="wide", page_title="Deepdespeckling")
@@ -15,62 +16,6 @@ st.write(
 st.sidebar.write("## Upload and download :gear:")
 
 
-def cos2mat(path_to_cosar_image: str) -> np.array:
-    """Convert a CoSAR imge to a numpy array of size [ncolumns,nlines,2]
-
-    Args:
-        path_to_cosar_image (str): path to the image which is a cos file
-
-    Returns:
-        numpy array : the image in a numpy array
-    """
-
-    print('Converting CoSAR to numpy array of size [ncolumns,nlines,2]')
-
-    try:
-        fin = open(path_to_cosar_image, 'rb')
-    except IOError:
-        legx = path_to_cosar_image + ': it is a not openable file'
-        print(legx)
-        print(u'failed to call cos2mat')
-        return 0, 0, 0, 0
-
-    ibib = struct.unpack(">i", fin.read(4))[0]
-    irsri = struct.unpack(">i", fin.read(4))[0]
-    irs = struct.unpack(">i", fin.read(4))[0]
-    ias = struct.unpack(">i", fin.read(4))[0]
-    ibi = struct.unpack(">i", fin.read(4))[0]
-    irtnb = struct.unpack(">i", fin.read(4))[0]
-    itnl = struct.unpack(">i", fin.read(4))[0]
-
-    nlig = struct.unpack(">i", fin.read(4))[0]
-    ncoltot = int(irtnb / 4)
-    ncol = ncoltot - 2
-    nlig = ias
-
-    print(u'Reading image in CoSAR format.  ncolumns=%d  nlines=%d' % (ncol, nlig))
-
-    firm = np.zeros(4 * ncoltot, dtype=np.byte())
-    imgcxs = np.empty([nlig, ncol], dtype=np.complex64())
-
-    fin.seek(0)
-    firm = fin.read(4 * ncoltot)
-    firm = fin.read(4 * ncoltot)
-    firm = fin.read(4 * ncoltot)
-    firm = fin.read(4 * ncoltot)
-
-    for iut in range(nlig):
-        firm = fin.read(4 * ncoltot)
-        imgligne = np.ndarray(2 * ncoltot, '>h', firm)
-        imgcxs[iut, :] = imgligne[4:2 * ncoltot:2] + \
-            1j * imgligne[5:2 * ncoltot:2]
-
-    print('[:,:,0] contains the real part of the SLC image data')
-    print('[:,:,1] contains the imaginary part of the SLC image data')
-
-    return np.stack((np.real(imgcxs), np.imag(imgcxs)), axis=2)
-
-
 def convert_image(img):
     buf = BytesIO()
     img.save(buf, format="PNG")

requirements.txt

@@ -1,3 +1,4 @@
 deepdespeckling
 pillow
 numpy
+GDAL