ArcMap批量附色操作,并保存mxd
ArcMap批量附色操作,并保存mxd
1、对单文件操作
1、保存当前ArcMap中打开的shp文件为mxd文件
打开label_shp_root
中的任意一个shp文件夹
保存成mxd文件
2、对当前在arcmap中打开的shp文件应用color配色
color配色是手动设置好一个shp文件夹的配色方案并保存成mxd文件
应用color.mxd的配色方案后
2、批量操作
1、shp文件保存为mxd文件(递归遍历文件夹及其子文件夹)
这里我设置num_folders_to_process = 5,保存了前5个
2、批量应用配色方案(对result文件夹中的mxd应用color配色)
函数保存在ipynb文件。
核心函数
arcpy.mapping.UpdateLayer
对label_shp_root
文件夹中的全部shp文件进行批量配色结果:
代码
点击查看代码
#### 1、shp文件保存为mxd文件(递归遍历文件夹及其子文件夹)
import os
import arcpy
main_workspace = r"D:/desktop/label_shp_root"
result_folder = r"D:/desktop/label_shp_root_mxd"
if not os.path.exists(result_folder):
os.makedirs(result_folder)
# 指定要处理的子文件夹数量
num_folders_to_process = 50
folders_processed = 0 # 初始化计数器
subfolders = [os.path.join(main_workspace, d) for d in os.listdir(main_workspace) if os.path.isdir(os.path.join(main_workspace, d))]
for subfolder in subfolders:
if folders_processed >= num_folders_to_process:
break # 如果达到指定数量,停止遍历
# 获取子文件夹名称
subfolder_name = os.path.basename(subfolder)
print("[processing subfolder]: ", subfolder_name) # 打印正在处理的子文件夹名称
# 构建对应的mxd文件路径
mxd_path = os.path.join(result_folder, "{}.mxd".format(subfolder_name))
mxd = arcpy.mapping.MapDocument("CURRENT")
df = arcpy.mapping.ListDataFrames(mxd)[0]
# 遍历子文件夹中的所有shp文件
for filename in os.listdir(subfolder):
if filename.endswith(".shp"):
# 构建完整的文件路径
shp_path = os.path.join(subfolder, filename)
# 添加shp文件到地图文档
layer = arcpy.mapping.Layer(shp_path)
arcpy.mapping.AddLayer(df, layer)
# 保存mxd文件
mxd.saveACopy(mxd_path)
# 清空所有图层
for lyr in arcpy.mapping.ListLayers(mxd, "", df):
arcpy.mapping.RemoveLayer(df, lyr)
folders_processed += 1 # 更新计数器
# 提示完成
print("success processed {} subfolders, saved in {}".format(folders_processed, result_folder))
#### 2、批量应用配色方案(对result文件夹中的mxd应用color配色)
import os
import arcpy
# PATH
ROOT_PATH = r'D:/desktop/label_shp_root'
RESULT_MXD_PATH = r'D:/desktop/label_shp_root_mxd'
RESULT_MXD_COLORED_PATH = r'D:/desktop/label_shp_root_mxd_colored' # 新的文件夹路径
MXD_PATH = r"D:/desktop/color.mxd" # color.mxd的路径
if not os.path.exists(RESULT_MXD_COLORED_PATH):
os.makedirs(RESULT_MXD_COLORED_PATH)
# 获取color图层
color_GT_room_poly = "GT_room_poly"
color_label_poly = "label_poly"
color_poly = "poly"
color_edges = "edges"
color_vertexes = "vertexes"
color_achor = "achor"
color_GT_bound = "GT_bound"
mxd_path = MXD_PATH
for mxd_file in os.listdir(RESULT_MXD_PATH):
mxd = arcpy.mapping.MapDocument(mxd_path)
df = arcpy.mapping.ListDataFrames(mxd)[0]
origin_GT_room_poly_Layer = arcpy.mapping.ListLayers(mxd, color_GT_room_poly)[0]
origin_label_poly_Layer = arcpy.mapping.ListLayers(mxd, color_label_poly)[0]
origin_poly_Layer = arcpy.mapping.ListLayers(mxd, color_poly)[0]
origin_edges_Layer = arcpy.mapping.ListLayers(mxd, color_edges)[0]
origin_vertexes_Layer = arcpy.mapping.ListLayers(mxd, color_vertexes)[0]
origin_achor_Layer = arcpy.mapping.ListLayers(mxd, color_achor)[0]
origin_GT_bound_Layer = arcpy.mapping.ListLayers(mxd, color_GT_bound)[0]
print('======get all origin color layers========')
print(mxd_file)
if mxd_file.endswith(".mxd"):
# 构建完整的mxd文件路径
full_mxd_path = os.path.join(RESULT_MXD_PATH, mxd_file)
# 打开mxd文件
mxd2 = arcpy.mapping.MapDocument(full_mxd_path)
df2 = arcpy.mapping.ListDataFrames(mxd2)[0]
GT_room_poly_Layer = arcpy.mapping.ListLayers(mxd2, "GT_room_poly", df2)[0]
label_poly_Layer = arcpy.mapping.ListLayers(mxd2, "label_poly", df2)[0]
poly_Layer = arcpy.mapping.ListLayers(mxd2, "poly", df2)[0]
edges_Layer = arcpy.mapping.ListLayers(mxd2, "edges", df2)[0]
vertexes_Layer = arcpy.mapping.ListLayers(mxd2, "vertexes", df2)[0]
arcpy.mapping.UpdateLayer(df, GT_room_poly_Layer, origin_GT_room_poly_Layer, True)
arcpy.mapping.UpdateLayer(df, label_poly_Layer, origin_label_poly_Layer, True)
arcpy.mapping.UpdateLayer(df, poly_Layer, origin_poly_Layer, True)
arcpy.mapping.UpdateLayer(df, edges_Layer, origin_edges_Layer, True)
arcpy.mapping.UpdateLayer(df, vertexes_Layer, origin_vertexes_Layer, True)
# 将修改后的mxd文件保存到新文件夹中
new_mxd_path = os.path.join(RESULT_MXD_COLORED_PATH, mxd_file)
print(new_mxd_path)
mxd2.saveACopy(new_mxd_path)
# 清空地图文档中的所有图层
mxd = arcpy.mapping.MapDocument("CURRENT")
df = arcpy.mapping.ListDataFrames(mxd)[0]
for lyr in arcpy.mapping.ListLayers(mxd):
arcpy.mapping.RemoveLayer(df, lyr)
print('============success process =========================')
print('All mxd files in result folder have been updated with color layers and saved to the new folder.')
data数据增强
1、在这里进行数据加载(但是感觉代码入侵了)
或者是直接对label_shp_root
进行数据变换,将文件夹大小变为原来6倍
2、但是发现实际上就是对所有点vertices进行同样操作(x,y 变换,也完全可以只x+1这样就是平移操作)
所以实际上只需要在这里进行数据复制5份(然后对vertieces进行简单操作)即可
总感觉怪怪的,好像没有什么实际的操作
运行train.py
到第六个epoch 8%进度时候,内存爆了
使用增强后的数据集
bug。。。
vscode不能用了
pycharm也出问题了