notebooks/a_genetic_tree.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b8bb6f10-0461-4fb9-9f36-9b64ae33405c",
+   "metadata": {},
+   "source": [
+    "# a genetic tree"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

notebooks/read_img_folder.ipynb

@@ -0,0 +1,52 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "b62b0bd9-f122-42da-a9c3-514d9e9faf1e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os, cv2\n",
+    "\n",
+    "def load_images_from_folder(foldername):\n",
+    "    images = []\n",
+    "    for filename in os.listdir(foldername):\n",
+    "        img = cv2.imread(os.path.join(foldername,filename))\n",
+    "        if img is not None:\n",
+    "            images.append(img)\n",
+    "    return images\n",
+    "img_list=load_images_from_folder(\"img\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "129f15f9-e431-4796-95f7-f11a05518768",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}