Delete unnecessary files.

Learner209 · Dec 16, 2023 · 77b924e · 77b924e
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diff --git a/lavis/examples/merlion.png b/lavis/examples/merlion.png
diff --git a/lavis/examples/teaser.ipynb b/lavis/examples/teaser.ipynb
diff --git a/pysaliency/.travis.yml b/pysaliency/.travis.yml
diff --git a/pysaliency/CHANGELOG.md b/pysaliency/CHANGELOG.md
diff --git a/pysaliency/LICENSE.md b/pysaliency/LICENSE.md
diff --git a/pysaliency/MANIFEST.in b/pysaliency/MANIFEST.in
diff --git a/pysaliency/Makefile b/pysaliency/Makefile
diff --git a/pysaliency/download_all_datasets.py b/pysaliency/download_all_datasets.py
diff --git a/pysaliency/notebooks/exp.ipynb b/pysaliency/notebooks/exp.ipynb
@@ -135,11 +135,15 @@
             "metadata": {},
             "outputs": [
                 {
-                    "name": "stderr",
-                    "output_type": "stream",
-                    "text": [
-                        "2023-12-16 16:29:35.983694: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-11.7/lib64:/usr/lib/nvidia\n",
-                        "2023-12-16 16:29:35.983714: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n"
+                    "ename": "ModuleNotFoundError",
+                    "evalue": "No module named 'blipsaliency.datasets'",
+                    "output_type": "error",
+                    "traceback": [
+                        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+                        "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+                        "\u001b[1;32m/mnt/homes/minghao/ImageProcessing/Assignment2/BASELINE/BASELINE/pysaliency/notebooks/exp.ipynb Cell 9\u001b[0m line \u001b[0;36m3\n\u001b[1;32m      <a href='vscode-notebook-cell://ssh-remote%2Brobot01/mnt/homes/minghao/ImageProcessing/Assignment2/BASELINE/BASELINE/pysaliency/notebooks/exp.ipynb#X11sdnNjb2RlLXJlbW90ZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mtorch\u001b[39;00m\n\u001b[1;32m      <a href='vscode-notebook-cell://ssh-remote%2Brobot01/mnt/homes/minghao/ImageProcessing/Assignment2/BASELINE/BASELINE/pysaliency/notebooks/exp.ipynb#X11sdnNjb2RlLXJlbW90ZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mPIL\u001b[39;00m \u001b[39mimport\u001b[39;00m Image\n\u001b[0;32m----> <a href='vscode-notebook-cell://ssh-remote%2Brobot01/mnt/homes/minghao/ImageProcessing/Assignment2/BASELINE/BASELINE/pysaliency/notebooks/exp.ipynb#X11sdnNjb2RlLXJlbW90ZQ%3D%3D?line=2'>3</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mblipsaliency\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mmodels\u001b[39;00m \u001b[39mimport\u001b[39;00m load_model_and_preprocess\n\u001b[1;32m      <a href='vscode-notebook-cell://ssh-remote%2Brobot01/mnt/homes/minghao/ImageProcessing/Assignment2/BASELINE/BASELINE/pysaliency/notebooks/exp.ipynb#X11sdnNjb2RlLXJlbW90ZQ%3D%3D?line=3'>4</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mblipsaliency\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mprocessors\u001b[39;00m \u001b[39mimport\u001b[39;00m load_processor\n\u001b[1;32m      <a href='vscode-notebook-cell://ssh-remote%2Brobot01/mnt/homes/minghao/ImageProcessing/Assignment2/BASELINE/BASELINE/pysaliency/notebooks/exp.ipynb#X11sdnNjb2RlLXJlbW90ZQ%3D%3D?line=4'>5</a>\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mmatplotlib\u001b[39;00m \u001b[39mimport\u001b[39;00m pyplot \u001b[39mas\u001b[39;00m plt\n",
+                        "File \u001b[0;32m~/ImageProcessing/Assignment2/BASELINE/BASELINE/blipsaliency/blipsaliency/__init__.py:15\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39momegaconf\u001b[39;00m \u001b[39mimport\u001b[39;00m OmegaConf\n\u001b[1;32m     13\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mblipsaliency\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mcommon\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mregistry\u001b[39;00m \u001b[39mimport\u001b[39;00m registry\n\u001b[0;32m---> 15\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mblipsaliency\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mdatasets\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mbuilders\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n\u001b[1;32m     16\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mblipsaliency\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mmodels\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n\u001b[1;32m     17\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mblipsaliency\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mprocessors\u001b[39;00m \u001b[39mimport\u001b[39;00m \u001b[39m*\u001b[39m\n",
+                        "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'blipsaliency.datasets'"
                     ]
                 }
             ],
@@ -346,7 +350,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 5,
+            "execution_count": null,
             "metadata": {},
             "outputs": [
                 {
@@ -1500,7 +1504,7 @@
                 "results_df = pd.DataFrame(columns=columns)\n",
                 "\n",
                 "\n",
-                "for model_name in model_zoos[0:5]:\n",
+                "for model_name in model_zoos[5:]:\n",
                 "\tprint(f\"------------------------    Model: {model_name} -----------------------------------\")\n",
                 "\tmodel: pysaliency.SaliencyMapModel\n",
                 "\t# model_location = \"../scripts/models/\"\n",