def datasetFunc(data_name):
scene = loadData(data_name)
result_data_list = computeData(scene)
scnene_plotter = ScenePlotter(scene, plt)
for i, result_data in enumerate(result_data_list):
resultDataFunc(scnene_plotter, data_name, i, result_data)
def datasetFunc(data_name):
scene = loadData(data_name)
data_list = computeData(scene)
plotter = ScenePlotter(scene, plt)
plt.title('Arc Interpolation')
plotter.showNormalImage()
for data in data_list:
error_colors = scalarToColor(data["normals_error"])
plotSegment(plt, data["ps"], error_colors)
showMaximize()
def datasetFunc(data_name):
scene = loadData(data_name)
plotter = ScenePlotter(scene, plt)
silhouette_plotter = plotter.silhouettePlotter()
plt.title('Isophote Scene')
plotter.showNormalImage()
#silhouette_plotter.plotCVs()
silhouette_plotter.plotNormalVectors()
silhouette_plotter.plotCurves(color=(0.1, 0.5, 0.1))
for isophote_plotter in plotter.isophotePlotters():
#isophote_plotter.plotCVs()
isophote_plotter.plotCurves(color=(0.1, 0.1, 0.3))
isophote_plotter.plotNormalVectors(color=(0.1, 0.1, 0.3), step=5)
showMaximize()