linting fixes

Clay-foundation · Jun 28, 2024 · 13a1b4a · 13a1b4a
1 parent 33dbafb
commit 13a1b4a
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Showing 2 changed files with 8 additions and 8 deletions.
diff --git a/nbs/v1-inference-simsearch-naip-stacchip.ipynb b/nbs/v1-inference-simsearch-naip-stacchip.ipynb
@@ -273,10 +273,10 @@
     "    Returns:\n",
     "    tuple: Normalized latitude and longitude values.\n",
     "    \"\"\"\n",
-    "    lat_ = lat * np.pi / 180\n",
-    "    lon_ = lon * np.pi / 180\n",
+    "    lat = lat * np.pi / 180\n",
+    "    lon = lon * np.pi / 180\n",
     "\n",
-    "    return (math.sin(lat_), math.cos(lat_)), (math.sin(lon_), math.cos(lon_))"
+    "    return (math.sin(lat), math.cos(lat)), (math.sin(lon), math.cos(lon))"
    ]
   },
   {
@@ -683,8 +683,8 @@
     "    fig, axs = plt.subplots(1, cols, figsize=(20, 10))\n",
     "    i = 0\n",
     "    for ax, (_, row) in zip(axs.flatten(), df.iterrows()):\n",
-    "        row_ = df.iloc[i]\n",
-    "        chip = np.array(row_[\"image\"]).reshape(256,256,4)\n",
+    "        # row = df.iloc[i]\n",
+    "        chip = np.array(row[\"image\"]).reshape(256,256,4)\n",
     "        chip = chip[:, :, :3]\n",
     "        ax.imshow(chip)\n",
     "        ax.set_title(f\"{row['idx']}\")\n",

diff --git a/nbs/v1-inference-simsearch-naip.ipynb b/nbs/v1-inference-simsearch-naip.ipynb
@@ -272,8 +272,8 @@
     "            centroid_x = (tile.x * tile).sum() / tile.sum()\n",
     "            centroid_y = (tile.y * tile).sum() / tile.sum()\n",
     "            \n",
-    "            lon = centroid_x.item()\n",
-    "            lat = centroid_y.item()\n",
+    "            # lon = centroid_x.item()\n",
+    "            # lat = centroid_y.item()\n",
     "\n",
     "            tile = tile.assign_coords(band=['red','green','blue','nir'])\n",
     "            tile_save = tile\n",
@@ -661,7 +661,7 @@
     "    fig, axs = plt.subplots(1, cols, figsize=(20, 10))\n",
     "    i = 0\n",
     "    for ax, (_, row) in zip(axs.flatten(), df.iterrows()):\n",
-    "        row = df.iloc[i]\n",
+    "        # row = df.iloc[i]\n",
     "        path = row[\"path\"]\n",
     "        chip = rioxarray.open_rasterio(f\"{save_dir}/{path}.tif\").sel(band=['red', 'green', 'blue'])\n",
     "        chip = chip.squeeze().transpose('x', 'y', 'band')\n",