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PiperOrigin-RevId: 734305540

Author: tensorflower-gardener

Diff for: official/projects/waste_identification_ml/model_inference/Inference_Tensorflow_Pipeline_with_Tracking.ipynb

@@ -1152,18 +1152,18 @@
       },
       "outputs": [],
       "source": [
-        "if agg_features:\n",
+        "if not agg_features.empty:\n",
         "    for group_name, df in tqdm.tqdm(agg_features.groupby(\"detection_classes_names\")):\n",
-        "    os.makedirs(f'{output_dir}/{group_name}', exist_ok=True)\n",
-        "\n",
-        "    for row in df.itertuples(index=False):\n",
-        "        image = cv2.imread(os.path.join(images_dir,row.image_name))\n",
-        "        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
-        "        new_h, new_w = image.shape[0], image.shape[1]\n",
-        "        y1, x1, y2, x2 = row.bbox_0, row.bbox_1, row.bbox_2, row.bbox_3\n",
-        "        new_bbox = resize_bbox(y1, x1, y2, x2, HEIGHT_TRACKING, WIDTH_TRACKING, new_h, new_w)\n",
-        "        name = f'{os.path.splitext(row.image_name)[0]}_{row.particle}.png'\n",
-        "        cv2.imwrite(f'{output_dir}/{row.detection_classes_names}/{name}', image[new_bbox[0]:new_bbox[2], new_bbox[1]:new_bbox[3]])"
+        "        os.makedirs(f'{output_dir}/{group_name}', exist_ok=True)\n",
+        "\n",
+        "        for row in df.itertuples(index=False):\n",
+        "            image = cv2.imread(os.path.join(images_dir,row.image_name))\n",
+        "            image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
+        "            new_h, new_w = image.shape[0], image.shape[1]\n",
+        "            y1, x1, y2, x2 = row.bbox_0, row.bbox_1, row.bbox_2, row.bbox_3\n",
+        "            new_bbox = resize_bbox(y1, x1, y2, x2, HEIGHT_TRACKING, WIDTH_TRACKING, new_h, new_w)\n",
+        "            name = f'{os.path.splitext(row.image_name)[0]}_{row.particle}.png'\n",
+        "            cv2.imwrite(f'{output_dir}/{row.detection_classes_names}/{name}', image[new_bbox[0]:new_bbox[2], new_bbox[1]:new_bbox[3]])"
       ]
     },
     {