DZR/bettergi-scripts-list
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

js：锄地一条龙1.3.6 (#1499)

Browse Source 
### 1.3.6（2025.08.07）
1.进一步优化内存占用
This commit is contained in:
mno
2025-08-07 19:59:46 +08:00
committed by GitHub
parent 8820ec19ab
commit c23b44399a
3 changed files with 38 additions and 41 deletions
Download Patch File Download Diff File Expand all files Collapse all files

73
repo/js/AutoHoeingOneDragon/main.js
View File

@@ -1,4 +1,4 @@
//当前js版本 1.3.5
//当前js版本 1.3.6
//拾取时上下滑动的时间
const timeMoveUp = 500;
@@ -10,6 +10,7 @@ if (settings.activeDumperMode) { //处理泥头车信息
dumpers = [];
}
trigger = (+settings.trigger || 50);
let gameRegion;
(async function () {
//自定义配置处理
@@ -501,7 +502,7 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
try {
let template = file.ReadImageMatSync(imagePath);
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
const gameRegion = captureGameRegion();
gameRegion = captureGameRegion();
let result = gameRegion.find(recognitionObject);
gameRegion.dispose();
if (result.isExist()) {
@@ -542,7 +543,7 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
try {
let template = file.ReadImageMatSync(imagePath);
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
const gameRegion = captureGameRegion();
gameRegion = captureGameRegion();
let result = gameRegion.find(recognitionObject);
gameRegion.dispose();
if (result.isExist()) {
@@ -578,44 +579,39 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
// 定义一个函数用于执行OCR识别和交互
async function performOcrAndInteract(imagePath, whitelistKeywords, textxRange, texttolerance) {
async function performOcr(whitelistKeywords, xRange, yRange, timeout = 200) {
let startTime = Date.now();
while (Date.now() - startTime < timeout) {
try {
// 在捕获的区域内进行OCR识别
let ra = captureGameRegion();
let resList = ra.findMulti(RecognitionObject.ocr(
xRange.min, yRange.min,
xRange.max - xRange.min, yRange.max - yRange.min
));
ra.dispose();
// 遍历识别结果，检查是否找到目标文本
let results = [];
for (let i = 0; i < resList.count; i++) {
let res = resList[i];
let correctedText = res.text;
async function performOcr(whitelistKeywords, xRange, yRange) {
try {
// 在捕获的区域内进行OCR识别
gameRegion = captureGameRegion();
let resList = gameRegion.findMulti(RecognitionObject.ocr(
xRange.min, yRange.min,
xRange.max - xRange.min, yRange.max - yRange.min
));
gameRegion.dispose();
// 遍历识别结果，检查是否找到目标文本
let results = [];
for (let i = 0; i < resList.count; i++) {
let res = resList[i];
let correctedText = res.text;
// 如果 whitelistKeywords 为空，则直接将所有文本视为匹配
if (whitelistKeywords.length === 0) {
results.push({ text: correctedText, x: res.x, y: res.y, width: res.width, height: res.height });
} else {
// 否则，检查是否包含目标文本
for (let targetText of whitelistKeywords) {
if (correctedText.includes(targetText)) {
results.push({ text: correctedText, x: res.x, y: res.y, width: res.width, height: res.height });
break; // 匹配到一个目标文本后即可跳出循环
}
// 如果 whitelistKeywords 为空，则直接将所有文本视为匹配
if (whitelistKeywords.length === 0) {
results.push({ text: correctedText, x: res.x, y: res.y, width: res.width, height: res.height });
} else {
// 否则，检查是否包含目标文本
for (let targetText of whitelistKeywords) {
if (correctedText.includes(targetText)) {
results.push({ text: correctedText, x: res.x, y: res.y, width: res.width, height: res.height });
break; // 匹配到一个目标文本后即可跳出循环
}
}
}
return results;
} catch (error) {
log.error(`识别文字时发生异常: ${error.message}`);
return [];
}
return results;
} catch (error) {
log.error(`识别文字时发生异常: ${error.message}`);
return [];
}
log.warn("OCR识别超时");
return [];
}
while (!state.completed && !state.cancelRequested) {
@@ -626,13 +622,12 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
try {
let template = file.ReadImageMatSync(imagePath);
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
const gameRegion = captureGameRegion();
gameRegion = captureGameRegion();
let result = gameRegion.find(recognitionObject);
gameRegion.dispose();
if (result.isExist()) {
return { success: true, x: result.x, y: result.y, width: result.width, height: result.height };
} else {
gameRegion.dispose();
}
} catch (error) {
log.error(`识别图像时发生异常: ${error.message}`);
@@ -665,7 +660,7 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
let centerYF = fRes.y + fRes.height / 2;
// 在当前屏幕范围内进行 OCR 识别
let ocrResults = await performOcr(whitelistKeywords, textxRange, { min: fRes.y - texttolerance, max: fRes.y + fRes.height + texttolerance * 2 }, 200);
let ocrResults = await performOcr(whitelistKeywords, textxRange, { min: fRes.y - texttolerance, max: fRes.y + fRes.height + texttolerance * 2 });
// 检查所有目标文本是否在当前页面中
let foundTarget = false;