fixing

Author: dbickson

examples/feature_vectors.ipynb

@@ -13,7 +13,7 @@
    "id": "9ece0f6e-518a-49b6-b06a-959d50bef991",
    "metadata": {},
    "source": [
-    "## Use case 1: compute feature vectors with fastdup and load then with numpy for further processing"
+    "## Use case 1: compute feature vectors with fastdup and load them with numpy for further processing"
    ]
   },
   {
@@ -97,8 +97,12 @@
    "source": [
     "import fastdup\n",
     "import numpy as np\n",
+    "\n",
+    "#chnage to your image folder\n",
+    "input_dir = '/Users/dannybickson/visual_database/cxx/unittests/two_images/'\n",
+    "\n",
     "# Run fastup on an input image folder to create embeddings\n",
-    "fd = fastdup.create(input_dir='/Users/dannybickson/visual_database/cxx/unittests/two_images/', work_dir='out')\n",
+    "fd = fastdup.create(input_dir=input_dir, work_dir='out')\n",
     "fd.run(overwrite=True, print_summary=False)\n",
     "\n",
     "# Read the embeddings to use them in python\n",
@@ -162,14 +166,19 @@
     }
    ],
    "source": [
+    "import fastdup\n",
+    "import numpy as np\n",
+    "import os\n",
+    "input_dir = '/Users/dannybickson/visual_database/cxx/unittests/two_images/'\n",
+    "flist = os.listdir(input_dir)\n",
+    "flist = [os.path.join(input_dir, f) for f in flist]\n",
+    "\n",
     "# replace the below code with computation of your own features\n",
     "matrix = np.random.rand(2, 576).astype('float32')\n",
     "\n",
     "# save the embedding along the filenames into a working folder\n",
     "!mkdir -p embedding_input\n",
     "fastdup.save_binary_feature('embedding_input', flist, matrix)\n",
-    "\n",
-    "\n",
     "fastdup.run('~/visual_database/cxx/unittests/two_images/', run_mode=2, work_dir='embedding_input')"
    ]
   },
@@ -208,11 +217,18 @@
    ],
    "source": [
     "# Note: files should contain absolute path and not relative path\n",
-    "import pandas as pd\n",
-    "df = pd.DataFrame({'filename':flist})\n",
-    "fd2 = fastdup.create(input_dir='/Users/dannybickson/visual_database/cxx/unittests/two_images/', work_dir='out3')\n",
-    "fd2.run(annotations=df, embeddings=matrix, print_summary=False, overwrite=True)\n",
-    "\n"
+    "import fastdup\n",
+    "import numpy as np\n",
+    "import os\n",
+    "input_dir = '/Users/dannybickson/visual_database/cxx/unittests/two_images/'\n",
+    "flist = os.listdir(input_dir)\n",
+    "flist = [os.path.join(input_dir, f) for f in flist]\n",
+    "\n",
+    "# replace the below code with computation of your own features\n",
+    "matrix = np.random.rand(2, 576).astype('float32')\n",
+    "\n",
+    "fd2 = fastdup.create(input_dir=input_dir, work_dir='output2')\n",
+    "fd2.run(annotations=flist, embeddings=matrix, print_summary=False, overwrite=True)"
    ]
   },
   {