add visualization code

test_code.py

@@ -1,13 +1,57 @@
-import h5py
-import scipy.io as io
+from datasets import load_dataset, DatasetDict
+import polars as pl
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib.animation import FuncAnimation
+from scipy.io import loadmat
 
 
-# with h5py.File(
-#     "radardata/769E33E0_2025_06_16_21_27-mastlab-yao-1400-2D-2-2-0001-076-5.90.mat", "r"
-# ) as f:
-#     data = f["dataset"][:]
-#     print(data)
+def draw_animation(id, rgb, depth, radar):
+    fig, ax = plt.subplots(1, 3, figsize=(15, 5))
 
-data = io.loadmat(
-    "radardata/769E33E0_2025_06_16_21_27-mastlab-yao-1400-2D-2-2-0001-076-5.90.mat"
-)
+    fig.suptitle(f"ID: {id}")
+
+    def update(frame):
+        ax[0].clear()
+        ax[0].set_title("Depth")
+        ax[0].imshow(depth[frame])
+
+        ax[1].clear()
+        ax[1].set_title("RGB")
+        ax[1].imshow(rgb[frame])
+
+        ax[2].clear()
+        ax[2].set_title("Radar")
+        ax[2].imshow(radar[frame]["spec_db_slice"])
+
+    ani = FuncAnimation(fig, update, frames=len(depth), interval=30)
+    plt.show()
+
+
+if __name__ == "__main__":
+    datasets = load_dataset("parquet", data_files="./train.parquet")
+
+    df_polars = datasets["train"].to_polars()
+
+    ids = df_polars["id"].unique().to_list()
+
+    for id in ids:
+        frames = df_polars.filter(
+            pl.col("id").eq(id)
+            & pl.col("selected_range_bin").eq(76)
+            & pl.col("sub_index_frame").eq(1)
+        ).sort("index_frame")
+        print(
+            frames.select(
+                "file_path_radar",
+                "file_path_depth",
+                "file_path_rgb",
+                "index_frame",
+                "id",
+            )
+        )
+        rgb = [np.load(f) for f in frames["file_path_rgb"].to_list()]
+        depth = [np.load(f) for f in frames["file_path_depth"].to_list()]
+        radar = [loadmat(f) for f in frames["file_path_radar"].to_list()]
+        draw_animation(id, rgb, depth, radar)
+        break