1. `num_output_channels`:确定输出图像的通道数。默认值为`1`,即生成单通道的灰度图像。如果指定为`3`,则生成三通道的灰度图像。这在某些情况下可能很有用,例如在与其他彩色图像一起进行混合时。 python grayscale_transform = transforms.Grayscale(num_output_channels=3) 2.`p`:指定将图像转换为灰度图像的...
# 需要导入模块: from torchvision.transforms import functional [as 别名]# 或者: from torchvision.transforms.functional importto_grayscale[as 别名]def__call__(self, img):ifrandom.random() <0.1:returnTrF.to_grayscale(img, num_output_channels=3)else:returnimg 开发者ID:gjy3035,项目名称:NWPU-Crow...
def rgb_to_grayscale(inpt: Any, num_output_channels: int = 1) -> Any: output = convert_color_space( inpt, color_space=features.ColorSpace.GRAY, old_color_space=features.Image.guess_color_space(inpt) if isinstance(inpt, torch.Tensor) else None, ) if num_output_channels == 3: output...
From this ticket open-mmlab/mmdetection#178 , look like the "mmcv.imread" automatically convert grayscale(num_channel=1) to color(num_channel=3) I tried your intstruction : the gray image to BGR image and put 3 channels image as input blob, and it works like a charm. Thank again for...
layer.numberOfChannels = numChannels normalize = getRange(slot.meta) layer.set_normalize(0,normalize)returnlayerelifaxisinfo =="rgba": rindex =0ifnumChannels>=2: gindex =1ifnumChannels>=3: bindex =2ifnumChannels>=4: aindex = numChannels-1else:raiseRuntimeError("unknown channel display mo...
pyorch grayscale定义 PyTorch中的Grayscale是用来将输入图像转换为灰度图像的转换器。它根据参数num_output_channels的不同有两种转换方式。当num_output_channels为1时,Grayscale会将输入图像转换为灰度图像,通道数为3时,RGB三个通道的值相等。©2022 Baidu |由 百度智能云 提供计算服务 | 使用百度前必读 | ...
1. num_output_channels:用于指定输出的通道数,默认为1,即输出一个单通道的灰度图像。 使用transforms.grayscale方法的格式如下所示: python grayscale = transforms.Grayscale(num_output_channels=1) output_image = grayscale(input_image) 二、示例代码 下面通过一些示例代码来演示transforms.grayscale方法的使用。
voidImggFormatsConvertViewQtWidget::convert(conststd::string&inputName,conststd::string&inputFormat,conststd::string&outputName,conststd::string&outputFormat)const{ QImage img = loadImgFile(inputName, inputFormat);if(!img.isGrayscale()) {// Qt5 has QImage::Format_Alpha8;QImage::Format toFormat...
self.image_transform = transforms.Compose([transforms.Grayscale(num_output_channels=3), transforms.ToTensor(), transforms.Normalize(mean=self.dataset_params.MEAN, std=self.dataset_params.STD), ]) self.mask_transform = transforms.Compose([transforms.Lambda(to_array), ...
# 需要导入模块: import cv2 [as 别名]# 或者: from cv2 importIMREAD_GRAYSCALE[as 别名]defimread_uint(path, n_channels=3):# input: path# output: HxWx3(RGB or GGG), or HxWx1 (G)ifn_channels ==1: img = cv2.imread(path,0)# cv2.IMREAD_GRAYSCALEimg = np.expand_dims(img, axis=2...