Create dataloader_raw.py

dataloader_raw.py

@@ -0,0 +1,36 @@
+class loadnpy:
+    def __init__(self, clean_image_dir, noisy_image_dir, transform=None):
+        self.clean_image_dir = clean_image_dir
+        self.noisy_image_dir = noisy_image_dir
+        self.transform = transform
+
+        self.clean_image_filenames = sorted(os.listdir(clean_image_dir))
+        self.noisy_image_filenames = sorted(os.listdir(noisy_image_dir))
+
+    def __len__(self):
+        return len(self.clean_image_filenames)
+
+    def __getitem__(self, idx):
+        clean_image_path = os.path.join(
+            self.clean_image_dir, self.clean_image_filenames[idx]
+        )
+        noisy_image_path = os.path.join(
+            self.noisy_image_dir, self.noisy_image_filenames[idx]
+        )
+        if "400frames" in noisy_image_path:
+            clean_image_path = clean_image_path.replace(
+                "_" + str(clean_image_path).split("_")[-1], ".npy"
+            ).replace("noisy", "gt")
+        clean_image = np.load(clean_image_path)
+        noisy_image = np.load(noisy_image_path)
+        if self.transform:
+            clean_image = self.transform(clean_image)
+            noisy_image = self.transform(noisy_image)
+
+        return noisy_image, clean_image, noisy_image_path
+
+
+if __name__ == "__main__":
+    gt_path = "your_path/ambaraw_20240111/RAW/gt/"
+    noisy_path = "your_path/ambaraw_20240111/RAW/noisy/"
+    dataset = loadnpy(gt_path, noisy_path)