wget https://github.com/crux82/squad-it/raw/master/SQuAD_it-test.json.gz !gzip -dkv SQuAD_it-*.json.gz # 解压缩后会出现两个文件:SQuAD_it-train.json and SQuAD_it-test.json 1.3.2 加载数据 from datasets import load_dataset # 用法一 squad_it_dataset = load_dataset("json", data_...
其中 metainfo 是一个字典,里面包含数据集的元信息;data_list 是一个列表,列表中每个元素是一个字典,该字典定义了一个原始数据(raw data),每个原始数据包含一个或若干个训练/测试样本。 以下是一个 JSON 标注文件的例子(该例子中每个原始数据只包含一个训练/测试样本): { "metainfo": { "classes": ["cat...
Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz to data/FashionMNIST/raw/train-labels-idx1-ubyte.gz Extracting data/FashionMNIST/raw/train-labels-idx1-ubyte.gz to data/FashionMNIST/raw Downloading http://fashion-mnist.s3-website.eu-central-...
(1,1,1),然后转换成numpy格式 data = self.sitk_read_raw(filename[0]) label = self.sitk_read_raw(filename[1]) data = np.transpose(data, (1, 2, 0)) label = np.transpose(label, (1, 2, 0)) data = cv2.flip(data,0) label = cv2.flip(label,0) if self.transforms: data ,...
(1,1,1),然后转换成numpy格式 data = self.sitk_read_raw(filename[0]) label = self.sitk_read_raw(filename[1]) data = np.transpose(data, (1, 2, 0)) label = np.transpose(label, (1, 2, 0)) data = cv2.flip(data,0) label = cv2.flip(label,0) if self.transforms: data ,...
上采样率涵盖2x,3x和4x,数据集包含450个视频,每个视频150帧;2)提出一个新的针对raw图的VSR网络架构,输入为bayer raw图和对应的packed sub-frames,并且提出采用联合对齐、交互和融合模块来利用两个分支的信息;3)提出一个简单有效的颜色校正算法用于在训练中匹配LR-HR之间的颜色差异,并且通过实验验证在raw和sRGB域...
{// 构建SparkSession实例对象,设置应用名称和masterval spark:SparkSession=SparkSession.builder().appName(this.getClass.getSimpleName.stripSuffix("$")).master("local[3]").getOrCreate()importspark.implicits._// 1. 加载电影评分数据,封装数据结构RDDval rawRatingRDD:RDD[String]=spark.sparkContext....
dfb87644460cbdcc4607e289", # - MD5 checksum of the raw pixel data "face_landmarks": [...] # - 68 face landmarks reported by dlib }, "thumbnail": { # Info about the 128x128 thumbnail: "file_url": "https://drive.google.com/...", # - Google Drive URL "file_path": "...
Captured Raw Video Denoising Dataset (CRVD Dataset) You can download our dataset fromGoogle DriveorMEGAorBaidu Netdisk(key: cdux). We also provide original averaged frame (without applying BM3D) in folder "indoor_raw_noisy", named like "frameXX_clean.tiff". The Bayer pattern of raw data is...
# First, convert the raw input to a numeric column. numeric_feature_column = tf.feature_column.numeric_column("Year") # Then, bucketize the numeric column on the years 1960, 1980, and 2000. bucketized_feature_column = tf.feature_column.bucketized_column( source_column = numeric_feature_colu...