Image Downloader 2.ipynb

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   "source": [
    "#import fastai vision. We can use * here because these are designed to avoid conflicts\n",
    "\n",
    "from fastai.vision.all import *\n",
    "from fastai.vision.widgets import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils import * #fastai utils file with a few extra fuanctions. search_images_bing used here"
   ]
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  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
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   "source": [
    "key = 'xxx'"
   ]
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     "execution_count": 32,
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   "source": [
    "results = search_images_bing(key, 'mint herb')\n",
    "ims = results.attrgot('content_url')\n",
    "len(ims)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#define herbs to search for\n",
    "\n",
    "classes = ['parsley','parsley','mint','dill','basil','sage','rosemary','thyme'\n",
    "           ,'coriander','fennel','tarragon','thai_basil','chives','oregano','marjoram']"
   ]
  },
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   "cell_type": "code",
   "execution_count": 34,
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   "source": [
    "#working directory\n",
    "path = Path('/storage/class_herbs_v5/')"
   ]
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     "text": [
      "\n",
      " Download of https://www.planetorganic.com/images/products/large/1972.jpg has failed after 5 retries\n",
      " Fix the download manually:\n",
      "$ mkdir -p /storage/class_herbs_v5/thyme\n",
      "$ cd /storage/class_herbs_v5/thyme\n",
      "$ wget -c https://www.planetorganic.com/images/products/large/1972.jpg\n",
      "$ tar xf 1972.jpg\n",
      " And re-run your code once the download is successful\n",
      "\n"
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   "source": [
    "for i in classes: #loop through classes and search bing for herb photos. download images to folder\n",
    "    folder = i\n",
    "    search = str(i +' herb photo')\n",
    "    dest = path/folder\n",
    "    dest.mkdir(exist_ok=True)\n",
    "    results = search_images_bing(key, search)\n",
    "    download_images(dest, urls=results.attrgot('content_url'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
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   "source": [
    "fns = get_image_files(path) #find all image files in path"
   ]
  },
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   "cell_type": "code",
   "execution_count": 28,
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   "source": [
    "failed = verify_images(fns) #find files that can't be opened"
   ]
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    "failed.map(Path.unlink) #delete using regular Python map/unlink"
   ]
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  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "import PIL  #convert non-jpg files as these can have transparency which the model can't handle\n",
    "for fn in path.glob('*/*.jpg'):\n",
    "    im = PIL.Image.open(fn)\n",
    "    if im.mode != 'RGB': im.convert('RGB').save(fn)"
   ]
  }
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