yoooger
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@ -12,7 +12,6 @@ from queue import Queue
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import gdal2tiles as gdal2tiles
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from map_find import map_process_images
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from yolo_train import auto_train
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from map_cut import process_tiling
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from cv_video_counter import start_video_session,switch_model_session,stop_video_session,stream_sessions
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import torch
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from yolo_photo import map_process_images_with_progress # 引入你的处理函数
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@ -1,172 +0,0 @@
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import os
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import tempfile
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import uuid
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import aiohttp
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import yaml
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from minio import Minio
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from minio.error import S3Error
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import subprocess
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import sys
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import json
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from osgeo import gdal, osr
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from miniohelp import load_config,upload_file
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# 异步下载文件函数
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async def download_file(url: str, output_path: str) -> bool:
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try:
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async with aiohttp.ClientSession() as session:
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async with session.get(url) as response:
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if response.status == 200:
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with open(output_path, 'wb') as f:
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f.write(await response.read())
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return True
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else:
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print(f"下载失败: {url}")
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return False
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except Exception as e:
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print(f"下载错误: {e}")
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return False
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# 上传文件到 MinIO
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def upload_to_minio(local_file: str, bucket: str, object_name: str,minio_client: Minio):
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try:
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minio_client.fput_object(bucket, object_name, local_file)
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except S3Error as e:
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print(f"上传失败: {local_file} -> {object_name} 错误: {e}")
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def generate_tiles_from_tif_cli(
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input_tif: str,
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output_dir: str,
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zoom_levels: str = "0-18",
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processes: int = 4,
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verbose: bool = True
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):
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# Step 1: 调用 gdal2tiles
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args = [
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sys.executable,
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"-m", "osgeo_utils.gdal2tiles",
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"-z", zoom_levels,
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"--processes", str(processes)
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]
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if verbose:
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args.append("-v")
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args += [input_tif, output_dir]
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print(f"Running: {' '.join(args)}")
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subprocess.run(args, check=True)
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# Step 2: 提取地理信息
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ds = gdal.Open(input_tif)
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gt = ds.GetGeoTransform()
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width = ds.RasterXSize
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height = ds.RasterYSize
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minx = gt[0]
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maxy = gt[3]
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pixel_width = gt[1]
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pixel_height = gt[5]
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maxx = minx + width * pixel_width
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miny = maxy + height * pixel_height
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# 尝试解析坐标系 EPSG 编码
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srs = osr.SpatialReference(wkt=ds.GetProjection())
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try:
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proj_epsg = int(srs.GetAttrValue("AUTHORITY", 1))
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except:
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proj_epsg = 4326 # fallback 默认值
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# Step 3: 构造 JSON 数据
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bounds = {
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"west": minx,
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"south": miny,
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"east": maxx,
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"north": maxy
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}
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json_data = {
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"bounds": bounds,
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"contentType": "image/png",
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"generatetool": "custom_script@yourdomain.com/gdal2tiles",
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"latLonBounds": bounds, # 和 bounds 相同
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"maxzoom": int(zoom_levels.split("-")[-1]),
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"minzoom": int(zoom_levels.split("-")[0]),
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"proj": proj_epsg,
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"tilesize": 256,
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"tiletrans": "google",
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"type": "image",
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"ziped": False
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}
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# Step 4: 保存为 JSON 文件
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json_path = output_dir.rstrip("\\/") + ".json"
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with open(json_path, 'w', encoding='utf-8') as f:
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json.dump(json_data, f, indent=2)
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print(f"瓦片生成成功，元数据已保存到: {json_path}")
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# 主处理函数
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async def process_tiling(tif_url: str = None, prj_url: str = None, zoom_levels: str = "1-18", bucket: str = "300",config: str = "222.212.85.86") -> dict:
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# 创建唯一任务ID
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task_id = str(uuid.uuid4())
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temp_dir = tempfile.mkdtemp()
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tif_path = os.path.join(temp_dir, f"{task_id}.tif")
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prj_path = os.path.join(temp_dir, f"{task_id}.prj") if prj_url else None
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output_dir = os.path.join(temp_dir, f"tiles_{task_id}")
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os.makedirs(output_dir, exist_ok=True)
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# 下载 TIF
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if tif_url:
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tif_ok = await download_file(tif_url, tif_path)
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if not tif_ok:
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raise Exception("TIF 下载失败")
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# 下载 PRJ（如果有）
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if prj_url:
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prj_ok = await download_file(prj_url, prj_path)
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if prj_ok:
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# GDAL 要求 PRJ 文件与 TIF 同名（不同后缀）
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fixed_prj_path = tif_path.replace('.tif', '.prj')
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os.rename(prj_path, fixed_prj_path)
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else:
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print("PRJ 下载失败，继续处理...")
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# 切片
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generate_tiles_from_tif_cli(tif_path, output_dir, zoom_levels=zoom_levels, processes=4, verbose=True)
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# 上传结果到 MinIO
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minio_base_path = f"maps/{task_id}/"
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for root, _, files in os.walk(output_dir):
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for file in files:
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local_path = os.path.join(root, file)
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rel_path = os.path.relpath(local_path, output_dir)
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object_name = os.path.join(minio_base_path, rel_path).replace("\\", "/")
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upload_to_minio(local_path, bucket, object_name)
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minio_info = load_config(config)
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# 清洗 endpoint，去掉 http:// 或 https:// 前缀
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endpoint = minio_info["MinIOEndpoint"].replace("http://", "").replace("https://", "")
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# 返回构建的瓦片URL信息
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base_url = f"http://{endpoint}//{bucket}/{minio_base_path}"
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min_zoom, max_zoom = zoom_levels.split("-")
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return {
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"tile_url": {
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"base_url": base_url,
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"format": "{z}/{x}/{y}.png",
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"preview_url": f"{base_url}openlayers.html",
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"min_zoom": min_zoom,
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"max_zoom": max_zoom,
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"tilejson_url": f"{base_url}tilemapresource.xml"
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}
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}
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# 示例调用
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if __name__ == "__main__":
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# tif_url = "https://your-server.com/sample.tif"
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# prj_url = "https://your-server.com/sample.prj" # 可选
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# result = asyncio.run(process_tiling(tif_url, prj_url, zoom_levels="5-15"))
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# print(result)
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input_tif = r"e:/new.tif"
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output_dir = r"D:/work/AI_Python/cut"
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generate_tiles_from_tif_cli(input_tif, output_dir, zoom_levels="5-15", processes=4, verbose=True)
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