ArcMap批次附色操作,並儲存mxd
1、對單檔案操作
1、儲存當前ArcMap中開啟的shp檔案為mxd檔案
開啟label_shp_root
中的任意一個shp資料夾
儲存成mxd檔案
2、對當前在arcmap中開啟的shp檔案應用color配色
color配色是手動設定好一個shp資料夾的配色方案並儲存成mxd檔案
應用color.mxd的配色方案後
2、批次操作
1、shp檔案儲存為mxd檔案(遞迴遍歷資料夾及其子資料夾)
這裡我設定num_folders_to_process = 5,儲存了前5個
2、批次應用配色方案(對result資料夾中的mxd應用color配色)
函式儲存在ipynb檔案。
核心函式
arcpy.mapping.UpdateLayer
對label_shp_root
資料夾中的全部shp檔案進行批次配色結果:
程式碼
點選檢視程式碼
#### 1、shp檔案儲存為mxd檔案(遞迴遍歷資料夾及其子資料夾)
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)
# 指定要處理的子資料夾數量
num_folders_to_process = 50
folders_processed = 0 # 初始化計數器
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 # 如果達到指定數量,停止遍歷
# 獲取子資料夾名稱
subfolder_name = os.path.basename(subfolder)
print("[processing subfolder]: ", subfolder_name) # 列印正在處理的子資料夾名稱
# 構建對應的mxd檔案路徑
mxd_path = os.path.join(result_folder, "{}.mxd".format(subfolder_name))
mxd = arcpy.mapping.MapDocument("CURRENT")
df = arcpy.mapping.ListDataFrames(mxd)[0]
# 遍歷子資料夾中的所有shp檔案
for filename in os.listdir(subfolder):
if filename.endswith(".shp"):
# 構建完整的檔案路徑
shp_path = os.path.join(subfolder, filename)
# 新增shp檔案到地圖文件
layer = arcpy.mapping.Layer(shp_path)
arcpy.mapping.AddLayer(df, layer)
# 儲存mxd檔案
mxd.saveACopy(mxd_path)
# 清空所有圖層
for lyr in arcpy.mapping.ListLayers(mxd, "", df):
arcpy.mapping.RemoveLayer(df, lyr)
folders_processed += 1 # 更新計數器
# 提示完成
print("success processed {} subfolders, saved in {}".format(folders_processed, result_folder))
#### 2、批次應用配色方案(對result資料夾中的mxd應用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' # 新的資料夾路徑
MXD_PATH = r"D:/desktop/color.mxd" # color.mxd的路徑
if not os.path.exists(RESULT_MXD_COLORED_PATH):
os.makedirs(RESULT_MXD_COLORED_PATH)
# 獲取color圖層
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"):
# 構建完整的mxd檔案路徑
full_mxd_path = os.path.join(RESULT_MXD_PATH, mxd_file)
# 開啟mxd檔案
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)
# 將修改後的mxd檔案儲存到新資料夾中
new_mxd_path = os.path.join(RESULT_MXD_COLORED_PATH, mxd_file)
print(new_mxd_path)
mxd2.saveACopy(new_mxd_path)
# 清空地圖文件中的所有圖層
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資料增強
1、在這裡進行資料載入(但是感覺程式碼入侵了)
或者是直接對label_shp_root
進行資料變換,將資料夾大小變為原來6倍
2、但是發現實際上就是對所有點vertices進行同樣操作(x,y 變換,也完全可以只x+1這樣就是平移操作)
所以實際上只需要在這裡進行資料複製5份(然後對vertieces進行簡單操作)即可
總感覺怪怪的,好像沒有什麼實際的操作
執行train.py
到第六個epoch 8%進度時候,記憶體爆了
使用增強後的資料集
bug。。。
vscode不能用了
pycharm也出問題了