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  2. 函数列表
  3. tensorflow.python.platform.gfile.Walk()

Python tensorflow.python.platform.gfile 模块，Walk() 实例源码

我们从Python开源项目中，提取了以下5个代码示例，用于说明如何使用tensorflow.python.platform.gfile.Walk()。

项目：PlantImageRecognition    作者：HeavenMin    | 项目源码 | 文件源码 
def createImageLists(imageDir, testingPercentage, validationPercventage):
    if not gfile.Exists(imageDir):
        print("Image dir'" + imageDir +"'not found.'")
        return None
    result = {}
    subDirs = [x[0] for x in gfile.Walk(imageDir)]
    isRootDir = True
    for subDir in subDirs:
        if isRootDir:
            isRootDir = False
            continue
        extensions = ['jpg', 'jpeg', 'JPG', 'JPEG']
        fileList = []
        dirName = os.path.basename(subDir)
        if dirName == imageDir:
            continue
        print("Looking for images in '" + dirName + "'")
        for extension in extensions:
            fileGlob = os.path.join(imageDir, dirName, '*.' + extension)
            fileList.extend(gfile.Glob(fileGlob))
        if not fileList:
            print('No file found')
            continue
        labelName = re.sub(r'[^a-z0-9]+', ' ', dirName.lower())
        trainingImages = []
        testingImages =[]
        validationImages = []
        for fileName in fileList:
            baseName = os.path.basename(fileName)
            hashName = re.sub(r'_nohash_.*$', '', fileName)
            hashNameHased = hashlib.sha1(compat.as_bytes(hashName)).hexdigest()
            percentHash = ((int(hashNameHased, 16) %
                            (MAX_NUM_IMAGES_PER_CLASS + 1)) *
                            (100.0 / MAX_NUM_IMAGES_PER_CLASS))
            if percentHash < validationPercventage:
                validationImages.append(baseName)
            elif percentHash < (testingPercentage + validationPercventage):
                testingImages.append(baseName)
            else:
                trainingImages.append(baseName)
        result[labelName] = {
            'dir': dirName,
            'training': trainingImages,
            'testing': testingImages,
            'validation': validationImages,
        }
    return result
项目：PlantImageRecognition    作者：HeavenMin    | 项目源码 | 文件源码 
def createImageLists(imageDir, testingPercentage, validationPercventage):
    if not gfile.Exists(imageDir):
        print("Image dir'" + imageDir +"'not found.'")
        return None
    result = {}
    subDirs = [x[0] for x in gfile.Walk(imageDir)]
    isRootDir = True
    for subDir in subDirs:
        if isRootDir:
            isRootDir = False
            continue
        extensions = ['jpg', 'jpeg', 'JPG', 'JPEG']
        fileList = []
        dirName = os.path.basename(subDir)
        if dirName == imageDir:
            continue
        print("Looking for images in '" + dirName + "'")
        for extension in extensions:
            fileGlob = os.path.join(imageDir, dirName, '*.' + extension)
            fileList.extend(gfile.Glob(fileGlob))
        if not fileList:
            print('No file found')
            continue
        labelName = re.sub(r'[^a-z0-9]+', ' ', dirName.lower())
        trainingImages = []
        testingImages =[]
        validationImages = []
        for fileName in fileList:
            baseName = os.path.basename(fileName)
            hashName = re.sub(r'_nohash_.*$', '', fileName)
            hashNameHased = hashlib.sha1(compat.as_bytes(hashName)).hexdigest()
            percentHash = ((int(hashNameHased, 16) %
                            (MAX_NUM_IMAGES_PER_CLASS + 1)) *
                            (100.0 / MAX_NUM_IMAGES_PER_CLASS))
            if percentHash < validationPercventage:
                validationImages.append(baseName)
            elif percentHash < (testingPercentage + validationPercventage):
                testingImages.append(baseName)
            else:
                trainingImages.append(baseName)
        result[labelName] = {
            'dir': dirName,
            'training': trainingImages,
            'testing': testingImages,
            'validation': validationImages,
        }
    return result
项目：PlantImageRecognition    作者：HeavenMin    | 项目源码 | 文件源码 
def createImageLists(imageDir, testingPercentage, validationPercventage):
    if not gfile.Exists(imageDir):
        print("Image dir'" + imageDir +"'not found.'")
        return None
    result = {}
    subDirs = [x[0] for x in gfile.Walk(imageDir)]
    isRootDir = True
    for subDir in subDirs:
        if isRootDir:
            isRootDir = False
            continue
        extensions = ['jpg', 'jpeg', 'JPG', 'JPEG']
        fileList = []
        dirName = os.path.basename(subDir)
        if dirName == imageDir:
            continue
        print("Looking for images in '" + dirName + "'")
        for extension in extensions:
            fileGlob = os.path.join(imageDir, dirName, '*.' + extension)
            fileList.extend(gfile.Glob(fileGlob))
        if not fileList:
            print('No file found')
            continue
        labelName = re.sub(r'[^a-z0-9]+', ' ', dirName.lower())
        trainingImages = []
        testingImages =[]
        validationImages = []
        for fileName in fileList:
            baseName = os.path.basename(fileName)
            hashName = re.sub(r'_nohash_.*$', '', fileName)
            hashNameHased = hashlib.sha1(compat.as_bytes(hashName)).hexdigest()
            percentHash = ((int(hashNameHased, 16) %
                            (MAX_NUM_IMAGES_PER_CLASS + 1)) *
                            (100.0 / MAX_NUM_IMAGES_PER_CLASS))
            if percentHash < validationPercventage:
                validationImages.append(baseName)
            elif percentHash < (testingPercentage + validationPercventage):
                testingImages.append(baseName)
            else:
                trainingImages.append(baseName)
        result[labelName] = {
            'dir': dirName,
            'training': trainingImages,
            'testing': testingImages,
            'validation': validationImages,
        }
    return result
项目：PlantImageRecognition    作者：HeavenMin    | 项目源码 | 文件源码 
def createImageLists(imageDir, testingPercentage, validationPercventage):
    if not gfile.Exists(imageDir):
        print("Image dir'" + imageDir +"'not found.'")
        return None
    result = {}
    subDirs = [x[0] for x in gfile.Walk(imageDir)]
    isRootDir = True
    for subDir in subDirs:
        if isRootDir:
            isRootDir = False
            continue
        extensions = ['jpg', 'jpeg', 'JPG', 'JPEG']
        fileList = []
        dirName = os.path.basename(subDir)
        if dirName == imageDir:
            continue
        print("Looking for images in '" + dirName + "'")
        for extension in extensions:
            fileGlob = os.path.join(imageDir, dirName, '*.' + extension)
            fileList.extend(gfile.Glob(fileGlob))
        if not fileList:
            print('No file found')
            continue
        labelName = re.sub(r'[^a-z0-9]+', ' ', dirName.lower())
        trainingImages = []
        testingImages =[]
        validationImages = []
        for fileName in fileList:
            baseName = os.path.basename(fileName)
            hashName = re.sub(r'_nohash_.*$', '', fileName)
            hashNameHased = hashlib.sha1(compat.as_bytes(hashName)).hexdigest()
            percentHash = ((int(hashNameHased, 16) %
                            (MAX_NUM_IMAGES_PER_CLASS + 1)) *
                            (100.0 / MAX_NUM_IMAGES_PER_CLASS))
            if percentHash < validationPercventage:
                validationImages.append(baseName)
            elif percentHash < (testingPercentage + validationPercventage):
                testingImages.append(baseName)
            else:
                trainingImages.append(baseName)
        result[labelName] = {
            'dir': dirName,
            'training': trainingImages,
            'testing': testingImages,
            'validation': validationImages,
        }
    return result
项目：PlantImageRecognition    作者：HeavenMin    | 项目源码 | 文件源码 
def createImageLists(imageDir, testingPercentage, validationPercventage):
    if not gfile.Exists(imageDir):
        print("Image dir'" + imageDir +"'not found.'")
        return None
    result = {}
    subDirs = [x[0] for x in gfile.Walk(imageDir)]
    isRootDir = True
    for subDir in subDirs:
        if isRootDir:
            isRootDir = False
            continue
        extensions = ['jpg', 'jpeg', 'JPG', 'JPEG']
        fileList = []
        dirName = os.path.basename(subDir)
        if dirName == imageDir:
            continue
        print("Looking for images in '" + dirName + "'")
        for extension in extensions:
            fileGlob = os.path.join(imageDir, dirName, '*.' + extension)
            fileList.extend(gfile.Glob(fileGlob))
        if not fileList:
            print('No file found')
            continue
        labelName = re.sub(r'[^a-z0-9]+', ' ', dirName.lower())
        trainingImages = []
        testingImages =[]
        validationImages = []
        for fileName in fileList:
            baseName = os.path.basename(fileName)
            hashName = re.sub(r'_nohash_.*$', '', fileName)
            hashNameHased = hashlib.sha1(compat.as_bytes(hashName)).hexdigest()
            percentHash = ((int(hashNameHased, 16) %
                            (MAX_NUM_IMAGES_PER_CLASS + 1)) *
                            (100.0 / MAX_NUM_IMAGES_PER_CLASS))
            if percentHash < validationPercventage:
                validationImages.append(baseName)
            elif percentHash < (testingPercentage + validationPercventage):
                testingImages.append(baseName)
            else:
                trainingImages.append(baseName)
        result[labelName] = {
            'dir': dirName,
            'training': trainingImages,
            'testing': testingImages,
            'validation': validationImages,
        }
    return result