plot image

extract_data.ipynb

@@ -0,0 +1,76 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "13389e33",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import extract_data as ed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "e5de5ac0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "imgs = ed.get_images(ed.PHOTOS_PATH)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "575fd8c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "module 'extract_data' has no attribute 'plot_image'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mAttributeError\u001b[39m                            Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[9]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m      1\u001b[39m img = ed.convert_to_opencv_image(imgs[\u001b[32m0\u001b[39m])\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m \u001b[43med\u001b[49m\u001b[43m.\u001b[49m\u001b[43mplot_image\u001b[49m(img)\n",
+      "\u001b[31mAttributeError\u001b[39m: module 'extract_data' has no attribute 'plot_image'"
+     ]
+    }
+   ],
+   "source": [
+    "img = ed.convert_to_opencv_image(imgs[0])\n",
+    "ed.plot_image(img)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b8b7bebc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.13.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

extract_data.py

@@ -1,6 +1,8 @@
 import os
 from datetime import datetime
 
+import matplotlib.pyplot as plt
+
 import cv2 as cv
 import numpy as np
 import pandas as pd
@@ -9,7 +11,6 @@ from PIL import Image
 
 PHOTOS_PATH = "./photos/"
 
-
 # Get a list of images given a directory path
 def get_images(url: str):
     images = []
@@ -126,6 +127,13 @@ def preview_image(img: np.ndarray):
     cv.waitKey(0)
     cv.destroyAllWindows()
 
+def plot_image(img, figsize=(6,6)):
+    fig, ax = plt.subplots(figsize=figsize)
+    ax.imshow(img)
+    ax.axis("off")
+
+    return fig
+
 
 def __main__():
     imgs = get_images(PHOTOS_PATH)
@@ -157,7 +165,4 @@ def __main__():
     print("success_len: ", len(success))
     print("fail_len: ", len(fail))
 
-    return None
-
-
-__main__()
+    return None