Skip to content

Commit

Permalink
Update example.ipynb
Browse files Browse the repository at this point in the history
  • Loading branch information
@ni1o1
ni1o1 committed Apr 13, 2022
1 parent d3925bc commit b34d568
Showing 1 changed file with 2 additions and 182 deletions.
184 changes: 2 additions & 182 deletions example/example.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -404,7 +404,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "6890f4b124d54b7c849e69a866cb1575",
"model_id": "de2c7641e08040a3ad45e212f3451770",
"version_major": 2,
"version_minor": 0
},
Expand Down Expand Up @@ -457,7 +457,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "4651f37936ab49f7ba788f90fc0a5be5",
"model_id": "449aba9c953e428b86f7c5d17d47556d",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -482,186 +482,6 @@
"source": [
"![1649405838683.png](https://github.com/ni1o1/pybdshadow/raw/main/image/README/1649405838683.png)"
]
<<<<<<< Updated upstream
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Advertisment billboard analyze"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Billboard visual area analyze"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To analyze billboard visual area, the parameter `ad_params` for the billboard should be defined. It has two forms:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"#ad_params for the billboard should be defined. It has two forms\n",
"#1. Given the coordinates of brandCenter, orientation and height\n",
"ad_params = {'orientation': 1.2806657381630058,\n",
" 'height': 10,\n",
" 'brandCenter': [139.71259, 35.552842999999996]} \n",
"\n",
"#2. Given the coordinates of the two border points and height\n",
"ad_params = {'point1': [139.711861, 35.552040],\n",
" 'point2': [139.713319, 35.553646],#1861,3646\n",
" 'height': 50,\n",
" }"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can calculate the visual area of the billboard using `ad_visualArea`."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"#calculate the visual area\n",
"visualArea,shadows = pybdshadow.ad_visualArea(ad_params,buildings)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Then, visualize the billboard and the visual area."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"User Guide: https://docs.kepler.gl/docs/keplergl-jupyter\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "803cefbc1cd54e1f8ac53f7f254e1961",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"KeplerGl(config={'version': 'v1', 'config': {'visState': {'filters': [], 'layers': [{'id': 'lz48o1', 'type': '…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"\n",
"#Generate a GeoDataFrame from ad_params for visualization\n",
"billboard_gdf = pybdshadow.ad_to_gdf(ad_params,billboard_height = 100)\n",
"\n",
"#Visualize buildings, shadows, billboard and visual area\n",
"pybdshadow.show_bdshadow(buildings=buildings,\n",
" shadows=shadows,\n",
" ad=billboard_gdf,\n",
" ad_visualArea=visualArea)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"![1649406044109.png](https://github.com/ni1o1/pybdshadow/raw/main/image/README/1649406044109.png)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Optimize billboard parameters"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Optimize advertisment parameters using Genetic Algorithm"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"ename": "AttributeError",
"evalue": "module 'pybdshadow' has no attribute 'ad_optimize'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m/var/folders/b0/q8rx9fj965b5p7yqq8zhvdx80000gn/T/ipykernel_51474/385305134.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;31m#Optimize billboard parameters\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m ad_params = pybdshadow.ad_optimize(bounds,\n\u001b[0m\u001b[1;32m 6\u001b[0m \u001b[0mbuildings\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mheight_range\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m100\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m200\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mAttributeError\u001b[0m: module 'pybdshadow' has no attribute 'ad_optimize'"
]
}
],
"source": [
"#Define area boundaries\n",
"bounds = [139.707846,35.543637,139.718567,35.553909]\n",
"\n",
"#Optimize billboard parameters\n",
"ad_params = pybdshadow.ad_optimize(bounds,\n",
" buildings,\n",
" height_range=[100,200],\n",
" printlog=True,\n",
" size_pop=10,\n",
" max_iter=10,\n",
" prob_mut=0.001,\n",
" precision=1e-7)\n",
"ad_params\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#calculate the visual area\n",
"visualArea,shadows = pybdshadow.ad_visualArea(ad_params,buildings)\n",
"\n",
"#Generate a GeoDataFrame from ad_params for visualization\n",
"billboard_gdf = pybdshadow.ad_to_gdf(ad_params,billboard_height = 100)\n",
"\n",
"#Visualize buildings, shadows, billboard and visual area\n",
"pybdshadow.show_bdshadow(buildings=buildings,\n",
" shadows=shadows,\n",
" ad=billboard_gdf,\n",
" ad_visualArea=visualArea)"
]
=======
>>>>>>> Stashed changes
}
],
"metadata": {
Expand Down

0 comments on commit b34d568

Please sign in to comment.