crop_upper_border.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "folder_to_scan = './datasets/raw/with_borders/'\n",
    "files = os.listdir(folder_to_scan)\n",
    "saving_folder_name = '.datasets/curated/'\n",
    "valid_file_types = ['.jpg']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "133"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "valid_files = []\n",
    "for file in files:\n",
    "    f, fe = os.path.splitext(file)\n",
    "    if fe in valid_file_types:\n",
    "        valid_files.append(file)\n",
    "\n",
    "full_path_valid_files = [folder_to_scan + file for file in valid_files]\n",
    "for file_path in full_path_valid_files:\n",
    "\n",
    "    file_name = os.path.basename(file_path)\n",
    "    base_name, file_ext = os.path.splitext(file_name)\n",
    "    im = Image.open(file_path)\n",
    "\n",
    "    im_w = im.size[0]\n",
    "    im_h = im.size[1]\n",
    "    # delete superior border\n",
    "\n",
    "    imc = im.crop((0,40,im_w,im_h)) #left bottom right upper\n",
    "\n",
    "    f_name = saving_folder_name + base_name + file_ext\n",
    "    imc.save(f_name)\n",
    "    "
   ]
  }
 ],
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