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tutorial.ipynb

@@ -639,8 +639,8 @@
       "source": [
         "# Download COCO test-dev2017\n",
         "torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017labels.zip', 'tmp.zip')\n",
-        "!unzip -q tmp.zip -d ../datasets && rm tmp.zip # unzip labels\n",
-        "!f=\"test2017.zip\" && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f -d ../datasets/coco/images  # 7GB 41k images"
+        "!unzip -q tmp.zip -d ../datasets && rm tmp.zip\n",
+        "!f=\"test2017.zip\" && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f -d ../datasets/coco/images"
       ],
       "execution_count": null,
       "outputs": []
@@ -651,8 +651,8 @@
         "id": "29GJXAP_lPrt"
       },
       "source": [
-        "# Run YOLOv5s on COCO test\n",
-        "!python val.py --weights yolov5s.pt --data coco.yaml --task test"
+        "# Run YOLOv5x on COCO test\n",
+        "!python val.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half --task test"
       ],
       "execution_count": null,
       "outputs": []