def tryNFP():
df = pd.read_csv("data/blaz1.csv")
poly1 = json.loads(df['polygon'][1])
poly2 = json.loads(df['polygon'][4])
GeoFunc.normData(poly1, 50)
GeoFunc.normData(poly2, 50)
GeoFunc.slidePoly(poly1, 500, 500)
nfp = NFP(poly1, poly2, show=True)
print(nfp.nfp)
def getData(index):
'''报错数据集有（空心）：han,jakobs1,jakobs2 '''
'''形状过多暂时未处理：shapes、shirt、swim、trousers'''
name = [
"ga", "albano", "blaz1", "blaz2", "dighe1", "dighe2", "fu", "han",
"jakobs1", "jakobs2", "mao", "marques", "shapes", "shirts", "swim",
"trousers"
]
print("开始处理", name[index], "数据集")
'''暂时没有考虑宽度，全部缩放来表示'''
scale = [100, 0.5, 100, 100, 20, 20, 20, 10, 20, 20, 0.5, 20, 50]
print("缩放", scale[index], "倍")
df = pd.read_csv("data/" + name[index] + ".csv")
polygons = []
for i in range(0, df.shape[0]):
for j in range(0, df['num'][i]):
poly = json.loads(df['polygon'][i])
GeoFunc.normData(poly, scale[index])
polygons.append(poly)
return polygons
