✨ [Add] an example ipynb! demo how to inference

.gitignore

@@ -145,4 +145,4 @@ runs
 node_modules/
 
 # Not ignore image for demo
-!demo/images/inference/*
+!demo/images/*/*.png

examples/notebook_inference.ipynb

@@ -5,7 +5,76 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "import torch\n",
+    "from hydra import compose, initialize\n",
+    "from PIL import Image \n",
+    "\n",
+    "from yolo import AugmentationComposer, bbox_nms, Config, create_model, custom_logger, draw_bboxes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "CONFIG_PATH = \"../yolo/config\"\n",
+    "CONFIG_NAME = \"config\"\n",
+    "\n",
+    "DEVICE = 'cuda:0'\n",
+    "# If weight not exist there, it will try to download it\n",
+    "\n",
+    "WEIGHT_PATH = '../weights/v9-cnw.pt' \n",
+    "IMAGE_PATH = '../demo/images/inference/image.png'\n",
+    "\n",
+    "custom_logger()\n",
+    "device = torch.device(DEVICE)\n",
+    "image = Image.open(IMAGE_PATH)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with initialize(config_path=CONFIG_PATH, version_base=None, job_name=\"notebook_job\"):\n",
+    "    cfg: Config = compose(config_name=CONFIG_NAME, overrides=[\"task=inference\", f\"task.data.source={IMAGE_PATH}\"])\n",
+    "    model = create_model(cfg.model, WEIGHT_PATH).to(device)\n",
+    "    transform = AugmentationComposer([], cfg.image_size)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "image, bbox = transform(image, torch.zeros(0, 5))\n",
+    "image = image.to(device)[None]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with torch.no_grad():\n",
+    "    predict = model(image)\n",
+    "predict_box = bbox_nms(predict[1][0], cfg.task.nms)\n",
+    "draw_bboxes(image, predict_box, save_path='../demo/images/output/', idx2label=cfg.class_list)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Sample Output:\n",
+    "\n",
+    "![image](../demo/images/output/visualize.png)"
+   ]
   },
   {
    "cell_type": "code",
@@ -16,8 +85,22 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "yolomit",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,