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import os, sys, shutil, json
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from osgeo import gdal
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import matplotlib.pyplot as plt
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# 判断路径是否是目录
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def isDir(dirPath: str):
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return os.path.exists(dirPath) and os.path.isdir(dirPath)
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# 对参数进行去重
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def are_equal(*args):
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# 使用集合去除重复值，如果长度为1，则说明所有元素相等
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return len(set(args)) == 1
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if are_equal(17136, 17136, 17136, 17136, 17136, 17136):
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print("ok")
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# 删除一个目录或者文件
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def rmPath(fileOrDirPath: str):
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if os.path.exists(fileOrDirPath):
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if os.path.isdir(fileOrDirPath):
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shutil.rmtree(fileOrDirPath)
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elif os.path.isfile(fileOrDirPath):
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os.remove(fileOrDirPath)
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# 删除目录
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def rmDir(dirPath: str) -> bool:
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if not os.path.isdir(dirPath):
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return True
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# 删除本地的input目录
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try:
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# 尝试递归删除目录及其内容
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shutil.rmtree(dirPath)
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# print(f"Directory {dirPath} successfully removed.")
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except OSError as e:
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# 如果目录无法删除，则捕获异常
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print(f"Failed to remove directory {dirPath} :", e)
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return False
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return True
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# 创建目录
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def mkDir(dirPath: str) -> bool:
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try:
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# 尝试递归创建目录及其父目录
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os.makedirs(dirPath)
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# print(f"Directory {dirPath} created successfully.")
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except OSError as e:
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# 如果创建目录失败，则捕获异常
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print(f"Failed to create directory {dirPath} :", e)
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return False
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return True
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# 拷贝文件
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def copyFile(sourceFile: str, targetFile: str) -> bool:
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try:
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# 尝试复制文件
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shutil.copy(sourceFile, targetFile)
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# print(f"File {sourceFile} copied successfully.")
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except IOError as e:
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# 如果复制文件失败，则捕获异常
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print(f"Failed to copy file {sourceFile}:", e)
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return False
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return True
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# 将内容保持为json文件
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def saveDataToJSON(content: list, fileName):
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with open(fileName, "w") as f:
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json.dump(content, f, indent=4)
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pass
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# 判断文件是否被其他程序访问
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def isFileOpen(filePath):
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try:
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thefile = open(filePath, "r+")
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thefile.close()
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except IOError as e:
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# 如果是Permission denied错误，通常意味着文件正在被其他程序访问
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if "Permission denied" in str(e):
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return True
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return False
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def saveENVIImgToPng(imgFilePath: str, pngFilePath: str):
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# 打开 ENVI 格式的图像文件
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# image_path = "postProcessing/Case1/reflectance/08.REF.img"
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# 如果文件不存在进行报错并退出
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if not os.path.isfile(imgFilePath):
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print("img file not exist!")
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return None
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dataset = gdal.Open(imgFilePath, gdal.GA_ReadOnly)
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if dataset is None:
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print("Failed to open image")
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return None
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# 读取图像数据
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band = dataset.GetRasterBand(1) # 仅读取第一个波段
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image_array = band.ReadAsArray()
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# 显示图像
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plt.imshow(image_array) # 使用灰度色彩映射
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# plt.imshow(image_array, cmap="gray") # 使用灰度色彩映射
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# plt.colorbar()
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# plt.show()
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plt.savefig(pngFilePath)
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# 关闭数据集
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dataset = None
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# 发货文件名
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return pngFilePath
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def printWithFlush(*args, sep=' ', end='\n', file=None, flush=True):
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print(*args, sep=sep, end=end, file=file, flush=flush)
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# sys.stdout.flush()
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