diff --git a/faster_rcnn/inference.py b/faster_rcnn/inference.py
new file mode 100644
index 0000000..019296c
--- /dev/null
+++ b/faster_rcnn/inference.py
@@ -0,0 +1,53 @@
+# Some basic setup:
+# Setup detectron2 logger
+import detectron2
+import sys
+import os
+import argparse
+
+sys.path.insert(0, os.path.abspath('./detectron2'))
+
+
+from detectron2.utils.logger import setup_logger
+setup_logger()
+
+# import some common libraries
+import numpy as np
+import os, cv2
+import matplotlib.pyplot as plt
+
+# import some common detectron2 utilities
+from detectron2 import model_zoo
+from detectron2.engine import DefaultPredictor
+from detectron2.config import get_cfg
+from detectron2.utils.visualizer import Visualizer
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--path2image", type=str)
+    parser.add_argument("--path2save", type=str)
+    args = parser.parse_args()
+
+    cfg = get_cfg()
+    cfg.merge_from_file(model_zoo.get_config_file("COCO-Detection/faster_rcnn_R_50_FPN_1x.yaml"))
+    cfg.MODEL.WEIGHTS = "model_final.pth"  # path to the model we just trained
+    cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = 0.001  # set a custom testing threshold
+    cfg.SOLVER.BASE_LR = 0.00025  
+    cfg.MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE = 128   
+    cfg.MODEL.ROI_HEADS.NUM_CLASSES = 1  
+    
+    predictor = DefaultPredictor(cfg)
+
+    im = cv2.imread(args.path2image)
+    outputs = predictor(im)
+    v = Visualizer(
+            im[:, :, ::-1], 
+            )
+    for box in outputs["instances"].pred_boxes.to('cpu'):
+        v.draw_box(box)
+        v.draw_text(str(box[:2].numpy()), tuple(box[:2].numpy()))
+    v = v.get_output()
+    img =  v.get_image()[:, :, ::-1]
+    plt.imshow(img)
+    cv2.imwrite(args.path2save)
\ No newline at end of file
diff --git a/faster_rcnn/setup.py b/faster_rcnn/setup.py
new file mode 100644
index 0000000..acd1c1f
--- /dev/null
+++ b/faster_rcnn/setup.py
@@ -0,0 +1,18 @@
+import os
+
+os.system("python -m pip install pyyaml==5.1")
+os.system("python -m pip install fvcore")
+import sys, os, distutils.core
+os.system("git clone 'https://github.com/facebookresearch/detectron2'")
+dist = distutils.core.run_setup("./detectron2/setup.py")
+
+os.system("python -m pip install -e detectron2")
+
+import torch, detectron2
+
+TORCH_VERSION = ".".join(torch.__version__.split(".")[:2])
+CUDA_VERSION = torch.__version__.split("+")[-1]
+print("torch: ", TORCH_VERSION, "; cuda: ", CUDA_VERSION)
+print("detectron2:", detectron2.__version__)
+
+os.system("python inference.py")
\ No newline at end of file
diff --git a/notebooks/faster_rcnn.ipynb b/notebooks/faster_rcnn.ipynb
index 9e272d9..1319187 100644
--- a/notebooks/faster_rcnn.ipynb
+++ b/notebooks/faster_rcnn.ipynb
@@ -17,10 +17,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "FsePPpwZSmqt",
-        "outputId": "f7751403-b2be-4bec-c03e-77476b25863e",
-        "vscode": {
-          "languageId": "python"
-        }
+        "outputId": "f7751403-b2be-4bec-c03e-77476b25863e"
       },
       "outputs": [],
       "source": [
@@ -40,10 +37,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "0d288Z2mF5dC",
-        "outputId": "a015861b-c9e5-4a56-c8f5-ed9a1f30d80d",
-        "vscode": {
-          "languageId": "python"
-        }
+        "outputId": "a015861b-c9e5-4a56-c8f5-ed9a1f30d80d"
       },
       "outputs": [],
       "source": [
@@ -59,10 +53,7 @@
       "cell_type": "code",
       "execution_count": 4,
       "metadata": {
-        "id": "ZyAvNCJMmvFF",
-        "vscode": {
-          "languageId": "python"
-        }
+        "id": "ZyAvNCJMmvFF"
       },
       "outputs": [],
       "source": [
@@ -112,10 +103,7 @@
           "height": 496
         },
         "id": "dq9GY37ml1kr",
-        "outputId": "a1eebd6e-e572-4817-c682-9bd9cdb7f1fe",
-        "vscode": {
-          "languageId": "python"
-        }
+        "outputId": "a1eebd6e-e572-4817-c682-9bd9cdb7f1fe"
       },
       "outputs": [],
       "source": [
@@ -141,10 +129,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "HUjkwRsOn1O0",
-        "outputId": "750bfc51-c8d1-4f71-f605-9549abad7792",
-        "vscode": {
-          "languageId": "python"
-        }
+        "outputId": "750bfc51-c8d1-4f71-f605-9549abad7792"
       },
       "outputs": [],
       "source": [
@@ -173,10 +158,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "4Qg7zSVOulkb",
-        "outputId": "b3c3e5b1-44f0-4402-bd63-076af70ef442",
-        "vscode": {
-          "languageId": "python"
-        }
+        "outputId": "b3c3e5b1-44f0-4402-bd63-076af70ef442"
       },
       "outputs": [],
       "source": [
@@ -204,10 +186,7 @@
           "height": 1000
         },
         "id": "FDJJSo0yMgja",
-        "outputId": "2e945f2a-e35b-43ee-d691-33e1e8e88a30",
-        "vscode": {
-          "languageId": "python"
-        }
+        "outputId": "2e945f2a-e35b-43ee-d691-33e1e8e88a30"
       },
       "outputs": [],
       "source": [
@@ -223,10 +202,7 @@
       "cell_type": "code",
       "execution_count": 10,
       "metadata": {
-        "id": "PIbAM2pv-urF",
-        "vscode": {
-          "languageId": "python"
-        }
+        "id": "PIbAM2pv-urF"
       },
       "outputs": [],
       "source": [
@@ -250,10 +226,7 @@
       "cell_type": "code",
       "execution_count": 11,
       "metadata": {
-        "id": "2rR5wBAkO21S",
-        "vscode": {
-          "languageId": "python"
-        }
+        "id": "2rR5wBAkO21S"
       },
       "outputs": [],
       "source": [
@@ -264,10 +237,7 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "UkNbUzUOLYf0",
-        "vscode": {
-          "languageId": "python"
-        }
+        "id": "UkNbUzUOLYf0"
       },
       "outputs": [],
       "source": [
@@ -298,10 +268,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "7unkuuiqLdqd",
-        "outputId": "bb9fd121-e584-4cf9-f748-b12b30731738",
-        "vscode": {
-          "languageId": "python"
-        }
+        "outputId": "bb9fd121-e584-4cf9-f748-b12b30731738"
       },
       "outputs": [],
       "source": [
@@ -626,10 +593,7 @@
           }
         },
         "id": "hBXeH8UXFcqU",
-        "outputId": "e68c28e1-14e0-4411-ffe9-37ebde681469",
-        "vscode": {
-          "languageId": "python"
-        }
+        "outputId": "e68c28e1-14e0-4411-ffe9-37ebde681469"
       },
       "outputs": [
         {
@@ -677,10 +641,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Ya5nEuMELeq8",
-        "outputId": "47400704-a137-4b7d-ddbb-e844738126ec",
-        "vscode": {
-          "languageId": "python"
-        }
+        "outputId": "47400704-a137-4b7d-ddbb-e844738126ec"
       },
       "outputs": [],
       "source": [
@@ -707,10 +668,7 @@
           "height": 1000
         },
         "id": "U5LhISJqWXgM",
-        "outputId": "48a0f5b8-9093-444a-cb56-e4528e22bfbc",
-        "vscode": {
-          "languageId": "python"
-        }
+        "outputId": "48a0f5b8-9093-444a-cb56-e4528e22bfbc"
       },
       "outputs": [
         {
@@ -749,8 +707,18 @@
       "provenance": []
     },
     "kernelspec": {
-      "display_name": "Python 3",
+      "display_name": "proton",
+      "language": "python",
       "name": "python3"
+    },
+    "language_info": {
+      "name": "python",
+      "version": "3.10.6 | packaged by conda-forge | (main, Aug 22 2022, 20:38:29) [Clang 13.0.1 ]"
+    },
+    "vscode": {
+      "interpreter": {
+        "hash": "ae1f3d19af4a627e6fd227f47e41f2bdb26008c49e5df6c5bb5291576095ff68"
+      }
     }
   },
   "nbformat": 4,