feat(core): 用于展示检测结果的可视化调试页面
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commit
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@ -19,6 +19,14 @@
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"request": "launch",
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"console": "integratedTerminal",
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"module": "${command:extension.commandvariable.file.relativeDirDots}.${fileBasenameNoExtension}",
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},
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{
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"name": "KotonebotDebug: Current Module",
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"type": "debugpy",
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"request": "launch",
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"console": "integratedTerminal",
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"module": "kotonebot.backend.debug.entry",
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"args": ["${command:extension.commandvariable.file.relativeDirDots}.${fileBasenameNoExtension}"]
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}
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]
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}
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@ -1,20 +1,65 @@
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import cv2
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from kotonebot.client.device.fast_screenshot import AdbFastScreenshots
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import dearpygui.dearpygui as dpg
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import cv2 as cv
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import numpy as np
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with AdbFastScreenshots(
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adb_path=r"D:\SDK\Android\platform-tools\adb.exe",
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device_serial="127.0.0.1:16384",
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time_interval=179,
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width=720,
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height=1280,
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bitrate="5M",
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use_busybox=False,
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connect_to_device=True,
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screenshotbuffer=10,
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go_idle=0,
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) as adbscreen:
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for image in adbscreen:
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cv2.imshow("CV2 WINDOW", image)
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if cv2.waitKey(1) & 0xFF == ord("q"):
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break
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cv2.destroyAllWindows()
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dpg.create_context()
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dpg.create_viewport(title='Custom Title', width=600, height=800)
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dpg.setup_dearpygui()
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vid = cv.VideoCapture(0)
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ret, frame = vid.read()
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# image size or you can get this from image shape
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frame_width = vid.get(cv.CAP_PROP_FRAME_WIDTH)
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frame_height = vid.get(cv.CAP_PROP_FRAME_HEIGHT)
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video_fps = vid.get(cv.CAP_PROP_FPS)
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print(frame_width)
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print(frame_height)
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print(video_fps)
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print("Frame Array:")
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print("Array is of type: ", type(frame))
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print("No. of dimensions: ", frame.ndim)
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print("Shape of array: ", frame.shape)
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print("Size of array: ", frame.size)
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print("Array stores elements of type: ", frame.dtype)
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data = np.flip(frame, 2) # because the camera data comes in as BGR and we need RGB
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data = data.ravel() # flatten camera data to a 1 d stricture
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data = np.asarray(data, dtype=np.float32) # change data type to 32bit floats
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texture_data = np.true_divide(data, 255.0) # normalize image data to prepare for GPU
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print("texture_data Array:")
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print("Array is of type: ", type(texture_data))
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print("No. of dimensions: ", texture_data.ndim)
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print("Shape of array: ", texture_data.shape)
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print("Size of array: ", texture_data.size)
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print("Array stores elements of type: ", texture_data.dtype)
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with dpg.texture_registry(show=True):
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dpg.add_raw_texture(frame.shape[1], frame.shape[0], texture_data, tag="texture_tag", format=dpg.mvFormat_Float_rgb)
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with dpg.window(label="Example Window"):
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dpg.add_text("Hello, world")
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dpg.add_image("texture_tag")
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dpg.show_metrics()
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dpg.show_viewport()
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while dpg.is_dearpygui_running():
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# updating the texture in a while loop the frame rate will be limited to the camera frame rate.
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# commenting out the "ret, frame = vid.read()" line will show the full speed that operations and updating a texture can run at
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ret, frame = vid.read()
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data = np.flip(frame, 2)
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data = data.ravel()
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data = np.asarray(data, dtype=np.float32)
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texture_data = np.true_divide(data, 255.0)
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dpg.set_value("texture_tag", texture_data)
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# to compare to the base example in the open cv tutorials uncomment below
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#cv.imshow('frame', frame)
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dpg.render_dearpygui_frame()
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vid.release()
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#cv.destroyAllWindows() # when using upen cv window "imshow" call this also
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dpg.destroy_context()
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@ -0,0 +1 @@
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from .vars import result, debug, img
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import sys
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import runpy
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from threading import Thread
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from typing import Callable
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from . import debug
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def _task_thread(task_module: str):
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"""任务线程。"""
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runpy.run_module(task_module, run_name="__main__")
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def _start_task_thread():
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"""启动任务线程。"""
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module = sys.argv[1]
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thread = Thread(target=_task_thread, args=(module,))
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thread.start()
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if __name__ == "__main__":
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debug.enabled = True
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# 启动服务器
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from .server import app
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import uvicorn
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# 启动任务线程
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_start_task_thread()
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# 启动服务器
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uvicorn.run(app, host="127.0.0.1", port=8000)
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@ -0,0 +1,151 @@
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from pathlib import Path
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from collections import deque
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import asyncio
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import cv2
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from fastapi import FastAPI, WebSocket, HTTPException
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from fastapi.responses import FileResponse, Response
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from fastapi.staticfiles import StaticFiles
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from . import vars
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app = FastAPI()
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# 获取当前文件夹路径
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CURRENT_DIR = Path(__file__).parent
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APP_DIR = Path.cwd()
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# 挂载静态文件
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app.mount("/static", StaticFiles(directory=str(CURRENT_DIR)), name="static")
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@app.get("/")
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async def get_root():
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"""返回 UI 页面"""
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return FileResponse(CURRENT_DIR / "ui.html")
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@app.get("/api/read_file")
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async def read_file(path: str):
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"""读取文件内容"""
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try:
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# 确保路径在当前目录下
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full_path = (APP_DIR / path).resolve()
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if not Path(full_path).is_relative_to(APP_DIR):
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raise HTTPException(status_code=403, detail="Access denied")
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if not full_path.exists():
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raise HTTPException(status_code=404, detail="File not found")
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# 添加缓存控制头
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headers = {
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"Cache-Control": "public, max-age=3600", # 缓存1小时
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"ETag": f'"{hash(full_path)}"' # 使用full_path的哈希值作为ETag
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}
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return FileResponse(full_path, headers=headers)
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@app.get("/api/read_memory")
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async def read_memory(key: str):
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"""读取内存中的数据"""
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print('read_memory', key)
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try:
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image = None
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if key in vars._results:
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image = vars._results[key].image
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elif key in vars._images:
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image = vars._images[key]
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else:
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raise HTTPException(status_code=404, detail="Key not found")
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# 编码图片
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encode_params = [cv2.IMWRITE_JPEG_QUALITY, 85, cv2.IMWRITE_JPEG_PROGRESSIVE, 1]
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_, buffer = cv2.imencode('.jpg', image, encode_params)
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# 添加缓存控制头
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headers = {
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"Cache-Control": "public, max-age=3600", # 缓存1小时
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"ETag": f'"{hash(key)}"' # 使用key的哈希值作为ETag
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}
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return Response(
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buffer.tobytes(),
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media_type="image/jpeg",
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headers=headers
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)
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@app.get("/api/ping")
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async def ping():
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return {"status": "ok"}
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message_queue = deque()
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@app.websocket("/ws")
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async def websocket_endpoint(websocket: WebSocket):
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await websocket.accept()
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try:
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while True:
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if len(message_queue) > 0:
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message = message_queue.pop()
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# print('send message', message)
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await websocket.send_json(message)
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await asyncio.sleep(0.1)
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# data = await websocket.receive_text()
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# try:
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# message = json.loads(data)
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# if message["type"] == "visual":
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# # 处理可视化消息
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# image_data = message["data"]["image"]
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# if image_data["type"] == "path":
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# # 从文件读取
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# full_path = (CURRENT_DIR / image_data["value"]).resolve()
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# if not str(full_path).startswith(str(CURRENT_DIR)):
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# await websocket.send_json({"error": "Access denied"})
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# continue
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# if not full_path.exists():
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# await websocket.send_json({"error": "File not found"})
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# continue
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# with open(full_path, 'rb') as f:
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# content = base64.b64encode(f.read()).decode()
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# else: # memory
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# key = image_data["value"]
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# if key not in vars._results:
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# await websocket.send_json({"error": "Key not found"})
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# continue
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# result = vars._results[key]
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# _, buffer = cv2.imencode('.png', result.image)
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# content = base64.b64encode(buffer).decode()
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# # 发送响应
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# await websocket.send_json({
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# "type": "visual",
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# "data": {
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# "image": content,
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# "name": message["data"]["name"],
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# "details": message["data"]["details"]
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# }
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# })
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# except json.JSONDecodeError:
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# await websocket.send_json({"error": "Invalid JSON"})
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# except Exception as e:
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# await websocket.send_json({"error": str(e)})
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except:
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await websocket.close()
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# 修改 vars.py 中的 result 函数
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def send_ws_message(title: str, image: str, text: str = ''):
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"""发送 WebSocket 消息"""
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# 这个函数将在 vars.py 中被调用
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message = {
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"type": "visual",
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"data": {
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"image": {
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"type": "memory",
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"value": image
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},
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"name": title,
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"details": text
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}
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}
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# 发送消息到所有连接的客户端
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message_queue.append(message)
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<!DOCTYPE html>
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<html lang="zh">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>图片查看器</title>
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/css/bootstrap.min.css" rel="stylesheet">
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<style>
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body, html {
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height: 100%;
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margin: 0;
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padding: 0;
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}
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.container-fluid {
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height: 100%;
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padding: 0;
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}
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.main-row {
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height: 100%;
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margin: 0;
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}
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.image-viewer-col {
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height: 100%;
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padding: 0;
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transition: width 0.3s ease;
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}
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.image-viewer {
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height: 100%;
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border: 1px solid #ddd;
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padding: 20px;
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display: flex;
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flex-direction: column;
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}
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.image-container {
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flex: 1;
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border: 1px solid #eee;
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margin-bottom: 20px;
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display: flex;
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align-items: center;
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justify-content: center;
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overflow: hidden;
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position: relative;
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}
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.image-container img {
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max-width: none;
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max-height: none;
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transform-origin: center center;
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cursor: grab;
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user-select: none;
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position: relative;
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}
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.image-container img.dragging {
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cursor: grabbing;
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}
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.info-panel-col {
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height: 100%;
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padding: 0;
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transition: none;
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position: relative;
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}
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/* 拖拽条样式 */
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.resize-handle {
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position: absolute;
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left: 0;
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top: 0;
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bottom: 0;
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width: 4px;
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background-color: transparent;
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cursor: col-resize;
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z-index: 1001;
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transition: background-color 0.2s;
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}
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.resize-handle:hover,
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.resize-handle.dragging {
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background-color: #0d6efd;
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}
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.method-panel {
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height: 100%;
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border: 1px solid #ddd;
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border-left: none;
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padding: 15px;
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position: relative;
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display: flex;
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flex-direction: column;
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}
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.toggle-panel-btn {
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position: absolute;
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right: 15px;
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top: 15px;
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z-index: 1000;
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}
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.navigation-buttons {
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text-align: center;
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margin-top: 20px;
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}
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.navigation-buttons .btn {
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margin: 0 5px;
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min-width: 40px;
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}
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.navigation-buttons .btn:first-child {
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margin-right: 5px;
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}
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.expand-panel-btn {
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position: fixed;
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right: 15px;
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top: 15px;
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z-index: 1000;
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display: none; /* 初始状态隐藏 */
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}
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/* 可选：鼠标悬停时稍微放大按钮 */
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.expand-panel-btn:hover {
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transform: scale(1.1);
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transition: transform 0.2s;
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}
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.zoom-controls {
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text-align: center;
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margin: 10px 0;
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}
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.zoom-controls .btn {
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margin: 0 5px;
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}
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.zoom-level {
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display: inline-block;
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margin: 0 10px;
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min-width: 60px;
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}
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.connection-status {
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position: fixed;
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top: 0;
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left: 0;
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right: 0;
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background-color: #dc3545;
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color: white;
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text-align: center;
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padding: 8px;
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font-weight: bold;
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z-index: 2000;
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display: none;
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opacity: 0;
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transition: opacity 0.3s ease;
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}
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.connection-status.show {
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display: block;
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opacity: 1;
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}
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/* 下载按钮样式 */
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.download-btn {
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opacity: 0.7;
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transition: opacity 0.2s;
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}
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.download-btn:hover {
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opacity: 1;
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}
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#customMessage {
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flex: 1;
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overflow-y: auto;
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margin-top: 10px;
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padding: 10px;
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white-space: pre-wrap;
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word-wrap: break-word;
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}
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/* 结果表格。用在 Python 代码里 */
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.result-table {
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text-align: center;
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width: 100%;
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border-collapse: collapse;
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border: 1px solid #ddd;
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}
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.result-table td {
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border: 1px solid #ddd;
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padding: 5px;
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}
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</style>
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</head>
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<body>
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<!-- 添加连接状态提示 -->
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<div class="connection-status" id="connectionStatus">
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WebSocket 连接已断开，正在尝试重新连接...
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</div>
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<!-- 添加展开按钮 -->
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<button class="btn btn-sm btn-secondary expand-panel-btn" id="expandPanel">
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<i class="bi bi-layout-sidebar"></i>
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</button>
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<div class="container-fluid">
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<div class="row main-row">
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||||
<div class="col image-viewer-col" id="imageViewerCol">
|
||||
<div class="image-viewer">
|
||||
<div class="image-container" id="imageViewer">
|
||||
<!-- 图片将在这里显示 -->
|
||||
</div>
|
||||
<div class="zoom-controls">
|
||||
<button class="btn btn-sm btn-outline-secondary" id="zoomOutBtn" alt="缩小">
|
||||
<i class="bi bi-zoom-out"></i>
|
||||
</button>
|
||||
<span class="zoom-level" id="zoomLevel">100%</span>
|
||||
<button class="btn btn-sm btn-outline-secondary" id="zoomInBtn" alt="放大">
|
||||
<i class="bi bi-zoom-in"></i>
|
||||
</button>
|
||||
<button class="btn btn-sm btn-outline-secondary" id="resetZoomBtn" alt="重置缩放">
|
||||
<i class="bi bi-arrow-counterclockwise"></i>
|
||||
</button>
|
||||
<button class="btn btn-sm btn-outline-secondary" id="downloadBtn" alt="下载图片">
|
||||
<i class="bi bi-download"></i>
|
||||
</button>
|
||||
</div>
|
||||
<div class="navigation-buttons">
|
||||
<button class="btn btn-sm btn-outline-secondary" id="firstBtn" alt="第一张">
|
||||
<i class="bi bi-chevron-bar-left"></i>
|
||||
</button>
|
||||
<button class="btn btn-sm btn-outline-secondary" id="prevBtn" alt="上一张">
|
||||
<i class="bi bi-chevron-left"></i>
|
||||
</button>
|
||||
<span id="imageCount" style="margin: 0 10px">0/0</span>
|
||||
<button class="btn btn-sm btn-outline-secondary" id="nextBtn" alt="下一张">
|
||||
<i class="bi bi-chevron-right"></i>
|
||||
</button>
|
||||
<button class="btn btn-sm btn-outline-secondary" id="lastBtn" alt="最后一张">
|
||||
<i class="bi bi-chevron-bar-right"></i>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<!-- 信息面板 -->
|
||||
<div class="col-md-4 info-panel-col" id="infoPanelCol">
|
||||
<div class="resize-handle" id="resizeHandle"></div>
|
||||
<div class="method-panel">
|
||||
<button class="btn btn-sm btn-secondary toggle-panel-btn" id="togglePanel">
|
||||
<i class="bi bi-x-lg"></i>
|
||||
</button>
|
||||
<h4 style="margin-top: 40px"><method name></h4>
|
||||
<div id="customMessage" style="white-space: pre-wrap;">
|
||||
<Custom message>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- 添加 Bootstrap Icons -->
|
||||
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap-icons@1.7.2/font/bootstrap-icons.css">
|
||||
|
||||
<script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
|
||||
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/js/bootstrap.bundle.min.js"></script>
|
||||
<script>
|
||||
$(document).ready(function() {
|
||||
let ws = null;
|
||||
let currentScale = 1.0;
|
||||
const ZOOM_STEP = 0.1;
|
||||
const MIN_SCALE = 0.1;
|
||||
const MAX_SCALE = 5.0;
|
||||
let isDragging = false;
|
||||
let startX, startY;
|
||||
let translateX = 0, translateY = 0;
|
||||
let isReconnecting = false;
|
||||
let imageHistory = [];
|
||||
let currentImageIndex = -1;
|
||||
let isResizing = false;
|
||||
let startWidth = 0;
|
||||
let minWidth = 200; // 最小宽度
|
||||
let maxWidth = 800; // 最大宽度
|
||||
|
||||
// 显示/隐藏连接状态
|
||||
function showConnectionStatus(show) {
|
||||
const status = $('#connectionStatus');
|
||||
if (show) {
|
||||
status.addClass('show');
|
||||
} else {
|
||||
status.removeClass('show');
|
||||
}
|
||||
}
|
||||
|
||||
// 检查服务器状态
|
||||
async function checkServerStatus() {
|
||||
try {
|
||||
const response = await fetch('/api/ping');
|
||||
if (response.ok) {
|
||||
// 服务器恢复了，刷新页面
|
||||
window.location.reload();
|
||||
}
|
||||
} catch (e) {
|
||||
// 服务器仍然不可用，继续尝试
|
||||
setTimeout(checkServerStatus, 2000);
|
||||
}
|
||||
}
|
||||
|
||||
// 更新图片计数
|
||||
function updateImageCount() {
|
||||
$('#imageCount').text(`${currentImageIndex + 1}/${imageHistory.length}`);
|
||||
$('#firstBtn').prop('disabled', currentImageIndex <= 0);
|
||||
$('#prevBtn').prop('disabled', currentImageIndex <= 0);
|
||||
$('#nextBtn').prop('disabled', currentImageIndex >= imageHistory.length - 1);
|
||||
$('#lastBtn').prop('disabled', currentImageIndex >= imageHistory.length - 1);
|
||||
}
|
||||
|
||||
// 显示历史图片
|
||||
function showHistoryImage(index) {
|
||||
if (index < 0 || index >= imageHistory.length) return;
|
||||
currentImageIndex = index;
|
||||
const imageData = imageHistory[index];
|
||||
|
||||
// 更新图片
|
||||
const imageContainer = $('#imageViewer');
|
||||
const img = $('<img>');
|
||||
if (imageData.type === 'memory') {
|
||||
img.attr('src', `/api/read_memory?key=${imageData.value}`);
|
||||
} else if (imageData.type === 'file') {
|
||||
img.attr('src', `/api/read_file?path=${imageData.value}`);
|
||||
}
|
||||
imageContainer.empty().append(img);
|
||||
|
||||
// 更新标题和详情
|
||||
$('h4').text(imageData.name);
|
||||
$('#customMessage').html(imageData.details);
|
||||
|
||||
// 应用当前的缩放和位移
|
||||
updateImageTransform(img);
|
||||
updateZoomLevel();
|
||||
|
||||
// 初始化拖拽事件
|
||||
initDragEvents();
|
||||
|
||||
// 更新计数
|
||||
updateImageCount();
|
||||
}
|
||||
|
||||
// 连接 WebSocket
|
||||
function connectWebSocket() {
|
||||
if (isReconnecting) return;
|
||||
isReconnecting = true;
|
||||
showConnectionStatus(true);
|
||||
|
||||
ws = new WebSocket(`ws://${window.location.host}/ws`);
|
||||
|
||||
ws.onopen = function() {
|
||||
console.log('WebSocket connected');
|
||||
isReconnecting = false;
|
||||
showConnectionStatus(false);
|
||||
};
|
||||
|
||||
ws.onmessage = function(event) {
|
||||
const data = JSON.parse(event.data);
|
||||
console.log(data);
|
||||
if (data.error) {
|
||||
console.error('WebSocket error:', data.error);
|
||||
return;
|
||||
}
|
||||
|
||||
if (data.type === 'visual') {
|
||||
// 保存图片数据到历史记录
|
||||
imageHistory.push({
|
||||
type: data.data.image.type,
|
||||
value: data.data.image.value,
|
||||
name: data.data.name,
|
||||
details: data.data.details
|
||||
});
|
||||
|
||||
// 只有当前正在查看最后一张图片时，才自动显示新图片
|
||||
if (currentImageIndex === imageHistory.length - 2 || currentImageIndex === -1) {
|
||||
currentImageIndex = imageHistory.length - 1;
|
||||
showHistoryImage(currentImageIndex);
|
||||
} else {
|
||||
// 否则只更新计数和按钮状态
|
||||
updateImageCount();
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
ws.onclose = function() {
|
||||
console.log('WebSocket disconnected');
|
||||
showConnectionStatus(true);
|
||||
// 开始检查服务器状态
|
||||
checkServerStatus();
|
||||
};
|
||||
|
||||
ws.onerror = function(error) {
|
||||
console.error('WebSocket error:', error);
|
||||
showConnectionStatus(true);
|
||||
};
|
||||
}
|
||||
|
||||
// 更新缩放级别显示
|
||||
function updateZoomLevel() {
|
||||
$('#zoomLevel').text(Math.round(currentScale * 100) + '%');
|
||||
}
|
||||
|
||||
// 更新图片变换
|
||||
function updateImageTransform(img) {
|
||||
img.css('transform', `translate(${translateX}px, ${translateY}px) scale(${currentScale})`);
|
||||
}
|
||||
|
||||
// 设置图片缩放
|
||||
function setImageScale(scale) {
|
||||
currentScale = Math.min(Math.max(scale, MIN_SCALE), MAX_SCALE);
|
||||
const img = $('#imageViewer img');
|
||||
updateImageTransform(img);
|
||||
updateZoomLevel();
|
||||
}
|
||||
|
||||
// 初始化拖拽事件
|
||||
function initDragEvents() {
|
||||
const container = $('#imageViewer');
|
||||
const img = container.find('img');
|
||||
|
||||
img.on('mousedown', function(e) {
|
||||
isDragging = true;
|
||||
startX = e.clientX - translateX;
|
||||
startY = e.clientY - translateY;
|
||||
img.addClass('dragging');
|
||||
});
|
||||
|
||||
$(document).on('mousemove', function(e) {
|
||||
if (!isDragging) return;
|
||||
translateX = e.clientX - startX;
|
||||
translateY = e.clientY - startY;
|
||||
updateImageTransform(img);
|
||||
});
|
||||
|
||||
$(document).on('mouseup', function() {
|
||||
if (!isDragging) return;
|
||||
isDragging = false;
|
||||
img.removeClass('dragging');
|
||||
});
|
||||
|
||||
// 防止拖拽时选中文本
|
||||
container.on('dragstart', function(e) {
|
||||
e.preventDefault();
|
||||
});
|
||||
}
|
||||
|
||||
// 缩放按钮事件
|
||||
$('#zoomInBtn').click(() => setImageScale(currentScale + ZOOM_STEP));
|
||||
$('#zoomOutBtn').click(() => setImageScale(currentScale - ZOOM_STEP));
|
||||
$('#resetZoomBtn').click(() => setImageScale(1.0));
|
||||
|
||||
// 鼠标滚轮缩放
|
||||
$('#imageViewer').on('wheel', function(e) {
|
||||
e.preventDefault();
|
||||
const delta = e.originalEvent.deltaY;
|
||||
setImageScale(currentScale + (delta > 0 ? -ZOOM_STEP : ZOOM_STEP));
|
||||
});
|
||||
|
||||
// 面板切换
|
||||
$('#togglePanel').click(function() {
|
||||
const infoPanel = $('#infoPanelCol');
|
||||
const imageViewer = $('#imageViewerCol');
|
||||
const expandBtn = $('#expandPanel');
|
||||
|
||||
if (infoPanel.is(':visible')) {
|
||||
infoPanel.hide();
|
||||
imageViewer.removeClass('col').addClass('col-12');
|
||||
expandBtn.show();
|
||||
}
|
||||
});
|
||||
|
||||
$('#expandPanel').click(function() {
|
||||
const infoPanel = $('#infoPanelCol');
|
||||
const imageViewer = $('#imageViewerCol');
|
||||
$(this).hide();
|
||||
|
||||
imageViewer.removeClass('col-12').addClass('col');
|
||||
infoPanel.show();
|
||||
});
|
||||
|
||||
// 导航按钮事件
|
||||
$('#firstBtn').click(() => showHistoryImage(0));
|
||||
$('#prevBtn').click(() => showHistoryImage(currentImageIndex - 1));
|
||||
$('#nextBtn').click(() => showHistoryImage(currentImageIndex + 1));
|
||||
$('#lastBtn').click(() => showHistoryImage(imageHistory.length - 1));
|
||||
|
||||
// 初始化拖拽调整宽度
|
||||
function initResizeHandle() {
|
||||
const handle = $('#resizeHandle');
|
||||
const panel = $('#infoPanelCol');
|
||||
|
||||
handle.on('mousedown', function(e) {
|
||||
isResizing = true;
|
||||
startWidth = panel.width();
|
||||
startX = e.clientX;
|
||||
handle.addClass('dragging');
|
||||
e.preventDefault();
|
||||
});
|
||||
|
||||
$(document).on('mousemove', function(e) {
|
||||
if (!isResizing) return;
|
||||
|
||||
const delta = startX - e.clientX;
|
||||
let newWidth = startWidth + delta;
|
||||
|
||||
// 限制最小和最大宽度
|
||||
newWidth = Math.max(minWidth, Math.min(maxWidth, newWidth));
|
||||
|
||||
// 更新面板宽度
|
||||
panel.css('width', newWidth + 'px');
|
||||
panel.css('flex', 'none'); // 防止 flex 布局影响宽度
|
||||
});
|
||||
|
||||
$(document).on('mouseup', function() {
|
||||
if (!isResizing) return;
|
||||
isResizing = false;
|
||||
handle.removeClass('dragging');
|
||||
});
|
||||
}
|
||||
|
||||
// 下载当前图片
|
||||
function downloadCurrentImage() {
|
||||
if (currentImageIndex < 0 || currentImageIndex >= imageHistory.length) return;
|
||||
|
||||
const imageData = imageHistory[currentImageIndex];
|
||||
const img = $('#imageViewer img');
|
||||
const link = document.createElement('a');
|
||||
|
||||
// 使用原始图片URL
|
||||
link.href = img.attr('src');
|
||||
|
||||
// 生成文件名
|
||||
const timestamp = new Date().toISOString().replace(/[:.]/g, '-');
|
||||
const extension = imageData.type === 'memory' ? 'jpg' : 'png';
|
||||
link.download = `${imageData.name}_${timestamp}.${extension}`;
|
||||
|
||||
document.body.appendChild(link);
|
||||
link.click();
|
||||
document.body.removeChild(link);
|
||||
}
|
||||
|
||||
// 键盘控制
|
||||
$(document).keydown(function(e) {
|
||||
// 如果正在输入，不处理键盘事件
|
||||
if (e.target.tagName === 'INPUT' || e.target.tagName === 'TEXTAREA') return;
|
||||
|
||||
switch(e.key) {
|
||||
case 'ArrowLeft':
|
||||
if (!$('#prevBtn').prop('disabled')) {
|
||||
showHistoryImage(currentImageIndex - 1);
|
||||
}
|
||||
break;
|
||||
case 'ArrowRight':
|
||||
if (!$('#nextBtn').prop('disabled')) {
|
||||
showHistoryImage(currentImageIndex + 1);
|
||||
}
|
||||
break;
|
||||
case 'Home':
|
||||
if (!$('#firstBtn').prop('disabled')) {
|
||||
showHistoryImage(0);
|
||||
}
|
||||
break;
|
||||
case 'End':
|
||||
if (!$('#lastBtn').prop('disabled')) {
|
||||
showHistoryImage(imageHistory.length - 1);
|
||||
}
|
||||
break;
|
||||
}
|
||||
});
|
||||
|
||||
// 下载按钮事件
|
||||
$('#downloadBtn').click(downloadCurrentImage);
|
||||
|
||||
// 初始化所有功能
|
||||
connectWebSocket();
|
||||
initResizeHandle();
|
||||
});
|
||||
</script>
|
||||
|
||||
<script>
|
||||
// 通信代码
|
||||
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
|
|
@ -0,0 +1,106 @@
|
|||
from pathlib import Path
|
||||
import re
|
||||
import time
|
||||
import uuid
|
||||
import traceback
|
||||
from datetime import datetime
|
||||
from typing import Callable, NamedTuple
|
||||
|
||||
import cv2
|
||||
import numpy as np
|
||||
from cv2.typing import MatLike
|
||||
|
||||
class Result(NamedTuple):
|
||||
title: str
|
||||
image: MatLike
|
||||
text: str
|
||||
|
||||
class _Vars:
|
||||
def __init__(self):
|
||||
self.__enabled: bool = False
|
||||
|
||||
self.__max_results: int = 200
|
||||
|
||||
@property
|
||||
def enabled(self) -> bool:
|
||||
"""是否启用调试结果显示。"""
|
||||
return self.__enabled
|
||||
|
||||
@enabled.setter
|
||||
def enabled(self, value: bool):
|
||||
self.__enabled = value
|
||||
|
||||
@property
|
||||
def max_results(self) -> int:
|
||||
"""最多保存的结果数量。"""
|
||||
return self.__max_results
|
||||
|
||||
@max_results.setter
|
||||
def max_results(self, value: int):
|
||||
self.__max_results = value
|
||||
|
||||
debug = _Vars()
|
||||
|
||||
# TODO: 需要考虑释放内存的问题。释放哪些比较合适？
|
||||
_results: dict[str, Result] = {}
|
||||
_images: dict[str, MatLike] = {}
|
||||
"""存放临时图片的字典。"""
|
||||
|
||||
def img(image: str | MatLike | None) -> str:
|
||||
"""
|
||||
用于在 `result()` 函数中嵌入图片。
|
||||
|
||||
:param image: 图片路径或 OpenCV 图片对象。
|
||||
:return: 图片的 HTML 代码。
|
||||
"""
|
||||
if image is None:
|
||||
return 'None'
|
||||
elif isinstance(image, str):
|
||||
return f'<img src="/api/read_file?path={image}" />'
|
||||
else:
|
||||
key = str(uuid.uuid4())
|
||||
_images[key] = image
|
||||
return f'<img src="/api/read_memory?key={key}" />'
|
||||
|
||||
# TODO: 保存原图。原图用 PNG，结果用 JPG 压缩。
|
||||
def result(
|
||||
title: str,
|
||||
image: MatLike,
|
||||
text: str = ''
|
||||
):
|
||||
"""
|
||||
显示图片结果。
|
||||
|
||||
例：
|
||||
```python
|
||||
result(
|
||||
"image.find",
|
||||
image,
|
||||
f"template: {img(template)} \\n"
|
||||
f"matches: {len(matches)} \\n"
|
||||
)
|
||||
```
|
||||
|
||||
:param title: 标题。建议使用 `模块.方法` 格式。
|
||||
:param image: 图片。
|
||||
:param text: 详细文本。可以是 HTML 代码，空格和换行将会保留。如果需要嵌入图片，使用 `img()` 函数。
|
||||
"""
|
||||
if not debug.enabled:
|
||||
return
|
||||
key = 'result_' + title + '_' + str(time.time())
|
||||
_results[key] = Result(title, image, text)
|
||||
if len(_results) > debug.max_results:
|
||||
_results.pop(next(iter(_results)))
|
||||
# 拼接消息
|
||||
now_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f")[:-4]
|
||||
callstack = [frame.replace(str(Path.cwd()), '.') for frame in traceback.format_stack()
|
||||
if not re.search(r'Python\d*[\/\\]lib|debugpy', frame)]
|
||||
final_text = (
|
||||
f"Time: {now_time}\n" +
|
||||
f"\n{text}\n" +
|
||||
f"<details><summary>Callstack</summary>{''.join(callstack)}</details>"
|
||||
)
|
||||
# 发送 WS 消息
|
||||
from .server import send_ws_message
|
||||
send_ws_message(title, key, final_text)
|
||||
|
||||
|
|
@ -2,6 +2,8 @@ import os
|
|||
from typing import NamedTuple, Protocol, TypeVar
|
||||
from logging import getLogger
|
||||
|
||||
from .debug import result, debug, img
|
||||
|
||||
import cv2
|
||||
import numpy as np
|
||||
from cv2.typing import MatLike, Rect, Point, Size
|
||||
|
|
@ -20,6 +22,7 @@ class ResultProtocol(Protocol):
|
|||
score: float
|
||||
position: Point
|
||||
|
||||
|
||||
class TemplateMatchResult(NamedTuple):
|
||||
score: float
|
||||
position: Point
|
||||
|
|
@ -66,6 +69,16 @@ def _remove_duplicate_matches(
|
|||
result.append(match)
|
||||
return result
|
||||
|
||||
def _draw_result(image: MatLike, matches: list[TemplateMatchResult] | TemplateMatchResult | None) -> MatLike:
|
||||
if matches is None:
|
||||
return image
|
||||
if isinstance(matches, TemplateMatchResult):
|
||||
matches = [matches]
|
||||
result_image = image.copy()
|
||||
for match in matches:
|
||||
cv2.rectangle(result_image, match.rect, (0, 0, 255), 2)
|
||||
return result_image
|
||||
|
||||
def template_match(
|
||||
template: MatLike | str,
|
||||
image: MatLike | str,
|
||||
|
|
@ -152,9 +165,19 @@ def find(
|
|||
mask: MatLike | str | None = None,
|
||||
transparent: bool = False,
|
||||
threshold: float = 0.8,
|
||||
*,
|
||||
debug_output: bool = True,
|
||||
) -> TemplateMatchResult | None:
|
||||
"""寻找一个模板图像"""
|
||||
matches = template_match(template, image, mask, transparent, threshold, max_results=-1)
|
||||
# 调试输出
|
||||
if debug.enabled and debug_output:
|
||||
result_image = _draw_result(image, matches)
|
||||
result_text = f"template: {img(template)} \n"
|
||||
result_text += f"matches: {len(matches)} \n"
|
||||
for match in matches:
|
||||
result_text += f"score: {match.score} position: {match.position} size: {match.size} \n"
|
||||
result(f"image.find", result_image, result_text)
|
||||
return matches[0] if len(matches) > 0 else None
|
||||
|
||||
def find_any(
|
||||
|
|
@ -165,15 +188,32 @@ def find_any(
|
|||
threshold: float = 0.8,
|
||||
) -> TemplateMatchResult | None:
|
||||
"""指定多个模板，返回第一个匹配到的结果"""
|
||||
ret = None
|
||||
if masks is None:
|
||||
_masks = [None] * len(templates)
|
||||
else:
|
||||
_masks = masks
|
||||
for template, mask in zip(templates, _masks):
|
||||
ret = find(image, template, mask, transparent, threshold)
|
||||
ret = find(image, template, mask, transparent, threshold, debug_output=False)
|
||||
# 调试输出
|
||||
if ret is not None:
|
||||
return ret
|
||||
return None
|
||||
break
|
||||
if debug.enabled:
|
||||
msg = (
|
||||
"<table class='result-table'>" +
|
||||
"<tr><th>Template</th><th>Mask</th><th>Result</th></tr>" +
|
||||
"\n".join([
|
||||
f"<tr><td>{img(t)}</td><td>{img(m)}</td><td>{'✓' if ret and t == templates[0] else '✗'}</td></tr>"
|
||||
for t, m in zip(templates, _masks)
|
||||
]) +
|
||||
"</table>\n"
|
||||
)
|
||||
result(
|
||||
'image.find_any',
|
||||
_draw_result(image, ret),
|
||||
msg
|
||||
)
|
||||
return ret
|
||||
|
||||
def count(
|
||||
image: MatLike,
|
||||
|
|
@ -186,11 +226,19 @@ def count(
|
|||
results = template_match(template, image, mask, transparent, threshold, max_results=-1)
|
||||
if remove_duplicate:
|
||||
results = _remove_duplicate_matches(results)
|
||||
# 画出结果
|
||||
# for result in results:
|
||||
# cv2.rectangle(image, result.rect, (0, 0, 255), 2)
|
||||
# cv2.imshow('count', image)
|
||||
# cv2.waitKey(0)
|
||||
if debug.enabled:
|
||||
result_image = _draw_result(image, results)
|
||||
result(
|
||||
'image.count',
|
||||
result_image,
|
||||
(
|
||||
f"template: {img(template)} \n"
|
||||
f"mask: {img(mask)} \n"
|
||||
f"transparent: {transparent} \n"
|
||||
f"threshold: {threshold} \n"
|
||||
f"count: {len(results)} \n"
|
||||
)
|
||||
)
|
||||
return len(results)
|
||||
|
||||
def expect(
|
||||
|
|
@ -201,7 +249,21 @@ def expect(
|
|||
threshold: float = 0.9,
|
||||
) -> TemplateMatchResult:
|
||||
ret = find(image, template, mask, transparent, threshold)
|
||||
if debug.enabled:
|
||||
result(
|
||||
'image.expect',
|
||||
_draw_result(image, ret),
|
||||
(
|
||||
f"template: {img(template)} \n"
|
||||
f"mask: {img(mask)} \n"
|
||||
f"args: transparent={transparent} threshold={threshold} \n"
|
||||
f"result: {ret} "
|
||||
'<span class="text-success">SUCCESS</span>' if ret is not None
|
||||
else '<span class="text-danger">FAILED</span>'
|
||||
)
|
||||
)
|
||||
if ret is None:
|
||||
raise TemplateNotFoundError(image, template)
|
||||
return ret
|
||||
else:
|
||||
return ret
|
||||
|
||||
|
|
|
|||
|
|
@ -4,10 +4,11 @@ import unicodedata
|
|||
from os import PathLike
|
||||
from typing import TYPE_CHECKING, Callable, NamedTuple, overload
|
||||
|
||||
from kotonebot.backend.util import Rect
|
||||
from .util import Rect
|
||||
from .debug import result as debug_result, debug
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from cv2.typing import MatLike
|
||||
import cv2
|
||||
from cv2.typing import MatLike
|
||||
from rapidocr_onnxruntime import RapidOCR
|
||||
|
||||
_engine_jp = RapidOCR(
|
||||
|
|
@ -48,6 +49,66 @@ def _is_match(text: str, pattern: re.Pattern | str | StringMatchFunction) -> boo
|
|||
else:
|
||||
return text == pattern
|
||||
|
||||
def _draw_result(image: 'MatLike', result: list[OcrResult]) -> 'MatLike':
|
||||
import numpy as np
|
||||
from PIL import Image, ImageDraw, ImageFont
|
||||
|
||||
# 转换为PIL图像
|
||||
result_image = cv2.cvtColor(image.copy(), cv2.COLOR_BGR2RGB)
|
||||
pil_image = Image.fromarray(result_image)
|
||||
draw = ImageDraw.Draw(pil_image, 'RGBA')
|
||||
|
||||
# 加载字体
|
||||
try:
|
||||
font = ImageFont.truetype(r'res\fonts\SourceHanSansHW-Regular.otf', 16)
|
||||
except:
|
||||
font = ImageFont.load_default()
|
||||
|
||||
for r in result:
|
||||
# 画矩形框
|
||||
draw.rectangle(
|
||||
[r.rect[0], r.rect[1], r.rect[0] + r.rect[2], r.rect[1] + r.rect[3]],
|
||||
outline=(255, 0, 0),
|
||||
width=2
|
||||
)
|
||||
|
||||
# 获取文本大小
|
||||
text = r.text + f" ({r.confidence:.2f})" # 添加置信度显示
|
||||
text_bbox = draw.textbbox((0, 0), text, font=font)
|
||||
text_width = text_bbox[2] - text_bbox[0]
|
||||
text_height = text_bbox[3] - text_bbox[1]
|
||||
|
||||
# 计算文本位置
|
||||
text_x = r.rect[0]
|
||||
text_y = r.rect[1] - text_height - 5 if r.rect[1] > text_height + 5 else r.rect[1] + r.rect[3] + 5
|
||||
|
||||
# 添加padding
|
||||
padding = 4
|
||||
bg_rect = [
|
||||
text_x - padding,
|
||||
text_y - padding,
|
||||
text_x + text_width + padding,
|
||||
text_y + text_height + padding
|
||||
]
|
||||
|
||||
# 画半透明背景
|
||||
draw.rectangle(
|
||||
bg_rect,
|
||||
fill=(0, 0, 0, 128)
|
||||
)
|
||||
|
||||
# 画文字
|
||||
draw.text(
|
||||
(text_x, text_y),
|
||||
text,
|
||||
font=font,
|
||||
fill=(255, 255, 255)
|
||||
)
|
||||
|
||||
# 转回OpenCV格式
|
||||
result_image = cv2.cvtColor(np.array(pil_image), cv2.COLOR_RGB2BGR)
|
||||
return result_image
|
||||
|
||||
class Ocr:
|
||||
def __init__(self, engine: RapidOCR):
|
||||
self.__engine = engine
|
||||
|
|
@ -64,7 +125,7 @@ class Ocr:
|
|||
result, elapse = self.__engine(img_content)
|
||||
if result is None:
|
||||
return []
|
||||
return [OcrResult(
|
||||
ret = [OcrResult(
|
||||
text=unicodedata.normalize('NFKC', r[1]).replace('ą', 'a'), # HACK: 识别结果中包含奇怪的符号，暂时替换掉
|
||||
rect=(
|
||||
int(r[0][0][0]), # 左上x
|
||||
|
|
@ -74,6 +135,17 @@ class Ocr:
|
|||
),
|
||||
confidence=r[2] # type: ignore
|
||||
) for r in result] # type: ignore
|
||||
if debug.enabled:
|
||||
result_image = _draw_result(img, ret)
|
||||
debug_result(
|
||||
'ocr',
|
||||
result_image,
|
||||
f"result: \n" + \
|
||||
"<table class='result-table'><tr><th>Text</th><th>Confidence</th></tr>" + \
|
||||
"\n".join([f"<tr><td>{r.text}</td><td>{r.confidence:.2f}</td></tr>" for r in ret]) + \
|
||||
"</table>"
|
||||
)
|
||||
return ret
|
||||
|
||||
def find(self, img: 'MatLike', text: str | re.Pattern | StringMatchFunction) -> OcrResult | None:
|
||||
"""
|
||||
|
|
|
|||
|
|
@ -751,12 +751,27 @@ if __name__ == '__main__':
|
|||
getLogger(__name__).setLevel(logging.DEBUG)
|
||||
init_context()
|
||||
|
||||
# produce_end()
|
||||
while not image.wait_for_any([
|
||||
R.InPurodyuusu.TextPDiary, # 普通周
|
||||
R.InPurodyuusu.ButtonFinalPracticeDance # 离考试剩余一周
|
||||
], timeout=2):
|
||||
logger.info("Action scene not detected. Retry...")
|
||||
acquisitions()
|
||||
sleep(3)
|
||||
|
||||
# image.wait_for_any([
|
||||
# R.InPurodyuusu.TextPDiary, # 普通周
|
||||
# R.InPurodyuusu.ButtonFinalPracticeDance # 离考试剩余一周
|
||||
# ], timeout=2)
|
||||
# while True:
|
||||
# sleep(10)
|
||||
|
||||
# exam()
|
||||
# produce_end()
|
||||
# enter_recommended_action()
|
||||
# remaing_turns_and_points()
|
||||
practice()
|
||||
until_action_scene()
|
||||
# practice()
|
||||
# until_action_scene()
|
||||
# acquisitions()
|
||||
# acquire_pdorinku(0)
|
||||
# image.wait_for(R.InPurodyuusu.InPractice.PDorinkuIcon)
|
||||
|
|
|
|||
|
|
@ -1,2 +1,2 @@
|
|||
jinja2==3.1.5
|
||||
pyinstaller==6.11.1
|
||||
pyinstaller==6.11.1
|
||||
|
|
@ -1,6 +1,15 @@
|
|||
adbutils==2.8.0
|
||||
# 图像处理 & OCR
|
||||
opencv-python==4.10.0.84
|
||||
rapidocr_onnxruntime==1.4.3
|
||||
av==14.0.1
|
||||
thefuzz==0.22.1
|
||||
# Adb 控制
|
||||
adbutils==2.8.0
|
||||
# 可视化调试页面
|
||||
fastapi==0.115.6
|
||||
uvicorn==0.34.0
|
||||
python-multipart==0.0.20
|
||||
websockets==14.1
|
||||
numpy==2.2.1
|
||||
# 其他
|
||||
typing-extensions==4.12.2
|
||||
|
|
|
|||
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|
After Width: | Height: | Size: 2.7 KiB |
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|
After Width: | Height: | Size: 1.9 KiB |
Loading…
Reference in New Issue