1、 飞桨框架内置数据集:paddle.vision.datasets内置包含了许多CV领域相关的数据集,直接调用API即可使用; 2、 飞桨框架数据预处理:paddle.vision.transforms飞桨框架对于图像预处理的方式,可以快速完成常见的图像预处理的方式,如调整色调、对比度,图像大小等; 3、 飞桨框架数据加载:paddle.io.Dataset与paddle.io.DataLoad...
import numpy as np from PIL import Image from paddle.vision.transforms import ColorJitter # brightness(float) - 亮度调整范围大小,会从给定参数后的均匀分布[max(0,1 - brightness), 1 + brightness]中随机选择进行实际调整,不能是负数。 # contrast(float) - 对比度调整范围大小,,会从给定参数后的均匀分...
HueTransform: paddle.vision.transforms.HueTransform(hue_factor) # hue_factor为-0.5到0.5间的数 SaturationTransform: paddle.vision.transforms.SaturationTransform(saturation_factor) # hue_factor为非负的数 CenterCrop: paddle.vision.transforms.CenterCrop(output_size) # output_size为输出图像的尺寸 ColorJitter:...
transforms.RandomResizedCrop(img_size), #缩放图片并随机裁剪图片为指定shape transforms.RandomHorizontalFlip(0.5), #随机水平翻转图片的概率为0.5 transforms.ToTensor(), #转换图片的格式由HWC ==> CHW transforms.Normalize(mean=[0.485,0.456,0.406],std=[0.229,0.224,0.225]) #图片通道像素的标准化 ]) else...
from paddle.vision.transforms import ToTensor import paddle.nn.functional as F valid_loader = MNIST(mode='test', transform=ToTensor()) img = np.array(valid_loader[0][0]) # import matplotlib.pyplot as plt # plt.imshow(img.squeeze(), cmap='gray') ...
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/vision/transforms/transforms.py", line 269, in __call__ outputs.append(apply_func(inputs[i])) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/vision/transforms/transforms.py",...
importwarningswarnings.filterwarnings('ignore')importnumpyasnpimportpandasaspdimportpaddleimportpaddle.vision.transformsasTimportosfromPILimportImagefrompaddle.staticimportInputSpec# 读取测试集数据test_images=pd.read_csv('data/data74025/lemon/test_images.csv',usecols=['id'])test_image_list=test_images['id...
在 Middlebury 数据集上, PaddleDepth 在深度超分辨率任务上排名第一,并在 ECCV2020 Robust Vision Challenge Stereo Matching task 上获得冠军,其深度信息增强技术业界领先。 以下是效果展示: 深度信息补全结果展示 相比于直接通过激光雷达得到稀疏深度图,通过深度信息补全,用户能够得到稠密的深度估计结果,更好地进行...
numpyndarray,调整亮度、对比度、饱和度和色调后的图像。 代码示例¶ importnumpyasnpfromPILimportImagefrompaddle.vision.transformsimportColorJittertransform=ColorJitter(0.4,0.4,0.4,0.4)fake_img=Image.fromarray((np.random.rand(224,224,3)*255.).astype(np.uint8))fake_img=transform(fake_img)...
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