Upload get_s1s2_patches.py

get_s1s2_patches.py

@@ -0,0 +1,171 @@
+# -*- coding: utf-8 -*-
+"""
+Downloads S1/S2 patches from TAMMI + TAMMI_S1S2 mosaics.
+Requires:
+    pip install datasets rasterio tifffile huggingface_hub scipy numpy
+"""
+
+import os
+import numpy as np
+import rasterio
+from rasterio.windows import Window
+from scipy import interpolate
+import tifffile as tiff
+from datasets import load_dataset
+
+
+TAMMI_REPO  = "HichemBoussaid/TAMMI"
+S1S2_LOCAL  = "./S1S2_mosaics"   # local path to TAMMI_S1S2 mosaics
+                                  # structure: {dept}/S1S2/
+OUTPUT_DIR  = "./patches"         # where patches will be saved
+SPLIT       = "train"             # "train", "val", or "test"
+HEIGHT_S2   = 500
+HEIGHT_S1   = 500
+THRESHOLD   = 9999
+SHARED_MOSAIC = {"92": "75", "93": "75", "94": "75"}
+os.makedirs(OUTPUT_DIR, exist_ok=True)
+
+# ============================================================
+# S1 helpers
+# ============================================================
+def apply_threshold(image_data, threshold):
+    modulus = np.abs(image_data)
+    return np.where(modulus > threshold, threshold, modulus)
+
+def geoTransform(image, orbit_direction, look_direction):
+    if orbit_direction == 'A':
+        image = np.flipud(image)
+    if look_direction == 'R':
+        image = np.fliplr(image)
+    return image
+
+def get_s1_patch(s1s2_local, dept, namevh, namevv, an, rn,
+                 orbit_direction, look_direction,
+                 height_size=500, threshold=9999):
+    left = rn - height_size // 2
+    top  = an - height_size // 2
+
+    with rasterio.open(os.path.join(s1s2_local, dept, "S1S2", namevh)) as src:
+        wvh = src.read(1, window=Window(left, top, height_size, height_size))
+    with rasterio.open(os.path.join(s1s2_local, dept, "S1S2", namevv)) as src:
+        wvv = src.read(1, window=Window(left, top, height_size, height_size))
+    with rasterio.open(os.path.join(s1s2_local, dept, "S1S2", "ratio" + namevv)) as src:
+        ratio = src.read(1, window=Window(left, top, height_size, height_size))
+
+    if threshold != 9999:
+        wvh   = apply_threshold(wvh,   threshold)
+        wvv   = apply_threshold(wvv,   threshold)
+
+    wvh   = geoTransform(wvh,   orbit_direction, look_direction)
+    wvv   = geoTransform(wvv,   orbit_direction, look_direction)
+    ratio = geoTransform(ratio, orbit_direction, look_direction)
+
+    return np.dstack((wvv, wvh, ratio)).astype(np.float32)
+
+# ============================================================
+# S2 helpers
+# ============================================================
+def upsample_patch(patch):
+    original_height, original_width = patch.shape
+    target_height = original_height * 2
+    target_width  = original_width  * 2
+    x    = np.linspace(0, original_width  - 1, original_width)
+    y    = np.linspace(0, original_height - 1, original_height)
+    xnew = np.linspace(0, original_width  - 1, target_width)
+    ynew = np.linspace(0, original_height - 1, target_height)
+    f = interpolate.interp2d(x, y, patch, kind='linear')
+    return f(xnew, ynew)
+
+def get_s2_10m(path, pixx, pixy, height_size):
+    with rasterio.open(path) as dataset:
+        left = int(pixy - height_size // 2)
+        top  = int(pixx - height_size // 2)
+        return dataset.read(1, window=Window(left, top, height_size, height_size))
+
+def get_s2_20m(path, pixx, pixy, height_size):
+    with rasterio.open(path) as dataset:
+        left = int(pixy // 2 - height_size // 4)
+        top  = int(pixx // 2 - height_size // 4)
+        patch = dataset.read(1, window=Window(left, top, height_size // 2, height_size // 2))
+    return upsample_patch(patch)
+
+def get_s2_patch(s1s2_local, dept, s2_name_prefix, pixx, pixy, height_size=500):
+    """
+    Loads all 8 S2 files ? stacks into (H, W, 10) array.
+    s2_name_prefix: s2_original_name without 'TCI.jp2'
+    e.g. 'T31UDQ_20210331T104619_'
+    """
+    base = os.path.join(s1s2_local, dept, "S1S2", s2_name_prefix)
+
+    # TCI � 3 bands RGB, 10m
+    with rasterio.open(base + "TCI.jp2") as dataset:
+        left = int(pixy - height_size // 2)
+        top  = int(pixx - height_size // 2)
+        w1 = dataset.read(1, window=Window(left, top, height_size, height_size))
+        w2 = dataset.read(2, window=Window(left, top, height_size, height_size))
+        w3 = dataset.read(3, window=Window(left, top, height_size, height_size))
+    tci = np.dstack((w1, w2, w3))
+
+    # 10m band
+    b08 = get_s2_10m(base + "B08.jp2", pixx, pixy, height_size)
+
+    # 20m bands � upsampled to match height_size
+    b05 = get_s2_20m(base + "B05.jp2", pixx, pixy, height_size)
+    b06 = get_s2_20m(base + "B06.jp2", pixx, pixy, height_size)
+    b07 = get_s2_20m(base + "B07.jp2", pixx, pixy, height_size)
+    b8a = get_s2_20m(base + "B8A.jp2", pixx, pixy, height_size)
+    b11 = get_s2_20m(base + "B11.jp2", pixx, pixy, height_size)
+    b12 = get_s2_20m(base + "B12.jp2", pixx, pixy, height_size)
+
+    # final stack: (H, W, 10)
+    return np.dstack((tci, b05, b06, b07, b08, b8a, b11, b12))
+
+
+def main():
+    print(f"Loading TAMMI {SPLIT} split...")
+    ds = load_dataset(TAMMI_REPO, split=SPLIT)  # no token needed, public dataset
+    print(f"  {len(ds)} images")
+
+    for i, sample in enumerate(ds):
+        dept       = sample["department"]
+        mosaic_dept = SHARED_MOSAIC.get(dept, dept)  # remap 92/93/94 -> 75
+        image_id   = sample["image_id"]
+        s2_prefix  = sample["s2_original_name"][:-7]
+        s1_vh      = sample["s1_vh_name"]
+        s1_vv      = sample["s1_vv_name"]
+        pixx, pixy = sample["s2_center_pos"]
+        rn, an     = sample["s1_center_pos"]
+        orbit_dir  = sample["orbit_direction"]
+        look_dir   = sample["look_direction"]
+
+        out_dir = os.path.join(OUTPUT_DIR, dept, image_id)
+        os.makedirs(out_dir, exist_ok=True)
+
+        s1_done = os.path.exists(os.path.join(out_dir, "S1.tif"))
+        s2_done = os.path.exists(os.path.join(out_dir, "S2.tif"))
+
+        if s1_done and s2_done:
+            print(f"[{i}] {image_id} already done, skipping")
+            continue
+
+        print(f"[{i}] Processing {image_id}...")
+
+        try:
+            if not s2_done:
+                s2 = get_s2_patch(S1S2_LOCAL, mosaic_dept, s2_prefix, pixx, pixy, HEIGHT_S2)
+                tiff.imwrite(os.path.join(out_dir, "S2.tif"), s2)
+
+            if not s1_done:
+                s1 = get_s1_patch(S1S2_LOCAL, mosaic_dept, s1_vh, s1_vv,
+                                   an, rn, orbit_dir, look_dir,
+                                   HEIGHT_S1, THRESHOLD)
+                tiff.imwrite(os.path.join(out_dir, "S1.tif"), s1)
+
+        except Exception as e:
+            print(f"  ERROR on {image_id}: {e}")
+            continue
+
+    print("Done!")
+
+if __name__ == "__main__":
+    main()