Update app.py

app.py

@@ -1,7 +1,94 @@
 import gradio as gr
+import torch
+from transformers import AutoImageProcessor, AutoModel
+from PIL import Image
+import numpy as np
+import rasterio
+from rasterio.warp import reproject, Resampling
+import os
 
-def greet(name):
-    return "Hello " + name + "!!"
+# MODEL YÜKLE
+processor = AutoImageProcessor.from_pretrained("facebook/dinov2-base")
+model = AutoModel.from_pretrained("facebook/dinov2-base")
+model.eval()
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# SENTINEL-2 REFERANS (Örnek: Whiskeytown)
+REF_IMAGE = "whiskeytown_ref.png"  # 384x384, 10m/pixel
+REF_TRANSFORM = rasterio.Affine(10.0, 0.0, -125.0, 0.0, -10.0, 40.6)  # x, y, lat, lon
+REF_CRS = "EPSG:4326"
+
+def georeference(image, location):
+    if image is None:
+        return None, None, "Lütfen bir görüntü yükleyin."
+
+    # 1. Görüntüyü hazırla
+    img = Image.fromarray(image)
+    inputs = processor(images=img, return_tensors="pt")
+    with torch.no_grad():
+        features = model(**inputs).last_hidden_state[:, 0]  # CLS token
+
+    # 2. Basit eşleştirme (demo için sabit H matrisi)
+    # Gerçekte: DINOv2 + homografi tahmini
+    H = np.array([
+        [1.0, 0.0, 50],
+        [0.0, 1.0, 30],
+        [0.0, 0.0, 1.0]
+    ])
+
+    # 3. GeoTIFF oluştur
+    output_tif = "output_geotiff.tif"
+    with rasterio.open(REF_IMAGE) as ref_src:
+        profile = ref_src.profile.copy()
+        profile.update({
+            'height': image.shape[0],
+            'width': image.shape[1],
+            'count': 3,
+            'dtype': 'uint8',
+            'crs': 'EPSG:3857',
+            'transform': REF_TRANSFORM
+        })
+
+        warped = np.zeros((3, image.shape[0], image.shape[1]), dtype=np.uint8)
+        for i in range(3):
+            reproject(
+                source=image[:, :, i],
+                destination=warped[i],
+                src_transform=rasterio.Affine(1, 0, 0, 0, 1, 0),
+                dst_transform=REF_TRANSFORM,
+                resampling=Resampling.cubic
+            )
+
+        with rasterio.open(output_tif, 'w', **profile) as dst:
+            dst.write(warped)
+
+    # 4. .points dosyası (QGIS için)
+    points_file = "output.points"
+    with open(points_file, 'w') as f:
+        f.write("mapX,mapY,pixelX,pixelY,enable\n")
+        h, w = image.shape[:2]
+        f.write(f"-125.0,40.6,0,0,1\n")
+        f.write(f"-124.9,40.6,{w},0,1\n")
+        f.write(f"-125.0,40.5,0,{h},1\n")
+        f.write(f"-124.9,40.5,{w},{h},1\n")
+
+    return output_tif, points_file, f"Başarılı! Konum: {location}"
+
+# GRADIO ARAYÜZÜ
+with gr.Blocks(title="AI Georeferencer") as demo:
+    gr.Markdown("# AI Georeferencer (Bunting Labs Gibi)")
+    gr.Markdown("Taranmış harita yükle → konum yaz → GeoTIFF al!")
+
+    with gr.Row():
+        with gr.Column():
+            img_input = gr.Image(label="Görüntü Yükle (PNG/JPG/TIFF)", type="numpy")
+            location = gr.Textbox(label="Yaklaşık Konum", placeholder="Ör: Whiskeytown, CA")
+            btn = gr.Button("Jeoreferansla →")
+
+        with gr.Column():
+            tif_out = gr.File(label="GeoTIFF İndir")
+            points_out = gr.File(label=".points Dosyası (QGIS)")
+            status = gr.Textbox(label="Sonuç")
+
+    btn.click(georeference, inputs=[img_input, location], outputs=[tif_out, points_out, status])
+
+demo.launch()