Metaclass database-style

Notebooks/DFC2018 Ground truth split train and validation.ipynb

@@ -105,10 +105,10 @@
     "\n",
     "split = np.zeros_like(gt)\n",
     "\n",
-    "for lbl, lblc in zip(count[0][1:], count[1][1:]):\n",
+    "for lbli, lblc in zip(count[0][1:], count[1][1:]):\n",
     "    treshold = int(lblc * train_part)\n",
-    "    #print('lbl:{}, count:{}, train:{}'.format(lbl, lblc, treshold))\n",
-    "    f = np.nonzero(gt == lbl)\n",
+    "    #print('lbli:{}, count:{}, train:{}'.format(lbli, lblc, treshold))\n",
+    "    f = np.nonzero(gt == lbli)\n",
     "    split[f[0][:treshold], f[1][:treshold]] = 1\n",
     "    split[f[0][treshold:], f[1][treshold:]] = 2\n",
     "    \n",
@@ -151,6 +151,15 @@
     "# Metaclasses "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gt"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -187,15 +196,55 @@
    "outputs": [],
    "source": [
     "plt.figure(figsize=fs)\n",
-    "plt.imshow(gt * np.isin(gt, [10, 11]))#metaclasses_A['Roads']))\n",
+    "plt.imshow(gt * np.isin(gt, metaclasses_A['Roads']))\n",
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lbl"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "~~on~~"
+    "## Database-style"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dfc_lbl  = pd.read_csv('../labels.csv')\n",
+    "meta_idx = pd.read_csv('../metaclass_indexes.csv')\n",
+    "meta_lbl = pd.read_csv('../metaclass_labels.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dfc_meta_view = pd.merge(dfc_lbl, meta_idx)\n",
+    "all_meta_view = pd.merge(dfc_meta_view, meta_lbl)\n",
+    "all_meta_view"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_meta_view[all_meta_view['metaclass_index'] == 0]['index']"
    ]
   }
  ],

labels.csv

@@ -0,0 +1,22 @@
+index,label
+0,Unclassified
+1,Healthy grass
+2,Stressed grass
+3,Artificial turf
+4,Evergreen trees
+5,Deciduous trees
+6,Bare earth
+7,Water
+8,Residential buildings
+9,Non-residential buildings
+10,Roads
+11,Sidewalks
+12,Crosswalks
+13,Major thoroughfares
+14,Highways
+15,Railways
+16,Paved parking lots
+17,Unpaved parking lots
+18,Cars
+19,Trains
+20,Stadium seats

metaclass_indexes.csv

@@ -0,0 +1,22 @@
+index,metaclass_index
+0,0
+1,1
+2,1
+3,1
+4,2
+5,2
+6,3
+7,0
+8,4
+9,4
+10,5
+11,5
+12,5
+13,5
+14,5
+15,6
+16,5
+17,0
+18,7
+19,8
+20,9

metaclass_labels.csv

@@ -0,0 +1,11 @@
+metaclass_index,metaclass_label
+0,Unclassified
+1,Grass
+2,Trees
+3,Bare earth
+4,Buildings
+5,Roads
+6,Railways
+7,Cars
+8,Trains
+9,Stadium