02 2025 档案
摘要：
import numpy as np def parse_tfrec(filename): # 遍历每条样本 feature = None for raw_record in tf.data.TFRecordDataset(filename): example = tf.train.Example(
阅读全文
import numpy as np def parse_tfrec(filename): # 遍历每条样本 feature = None for raw_record in tf.data.TFRecordDataset(filename): example = tf.train.Example(
阅读全文
摘要：用python直接提取gee数据的value（无需下载），适合小体量的数据，免去了下载、提取的繁琐步骤 用@dataclass定义配置，后面可以继续沿用 from typing import List, Dict, Tuple, Callable import pandas as pd import
阅读全文
摘要：import rasterio import pandas as pd def extract_values_from_tif(df: pd.DataFrame, tif_path: str, keys: list) -> pd.DataFrame: """ 从 TIFF 影像中提取多个点的像素值，
阅读全文
摘要：用python从GEE导出数据到Google drive 替换compute_wet_days函数，实现导出不同的加工数据 # 读取数据 name = "wdc1_era" africa = ee.Geometry.Polygon( [[[-24.64931493978714, 41.3074154
阅读全文
