Image & Color Functions
Overview
Settings
image.useOpencvMat Initialize Parameters
- Switch image storage to OpenCV mat format
- After switching, capture, read, find-image, and find-color use mat format — faster and lower memory
- Measured: 50–80% less memory, 20–30% less CPU, 100–200% faster
- To convert formats, see
imageToMatFormatandmatToImageFormat - @param use 1 = yes, 0 = no
- @return
{boolean}true on success, false on failure
function main() {
// Initialize OpenCV first
image.initOpenCV()
let r = image.useOpencvMat(1);
logd(r)
// Remaining code unchanged — find-color, find-image, etc.
}
main();
image.setInitParam Initialize Parameters
- Set image module init parameters, including find-image/find-color timeout
- @param params Timeout in ms
function main() {
// action_timeout: max find-image/find-color time in ms
image.setInitParam({"action_timeout": 1000});
image.setInitParam(
{
"action_timeout": 1000,
"auto_click_request_dialog": false
}
);
}
main();
image.setFindColorImageMode Set Find-Color Algorithm Mode
- Set find-color/find-image algorithm mode
- Requires EC HarmonyOS Next 1.0.0+
- @param type 1 = legacy algorithm, 2 = new algorithm
- @return boolean
function main() {
image.setFindColorImageMode(1);
}
main();
Stream Capture
image.startScreenStream Start Stream Capture
- Init stream capture mode; faster than other methods
- Requires EC HarmonyOS Next 1.0.0+
- @return boolean true on success, false on failure
function main() {
logd("isServiceOk " + isServiceOk());
startEnv()
logd("isServiceOk " + isServiceOk());
let cap = image.startScreenStream()
logd("capture: " + cap)
}
main();
image.stopScreenStream Stop Stream Capture
- Stop image stream
- @return boolean true on success, false on failure
function main() {
logd("isServiceOk " + isServiceOk());
startEnv()
logd("isServiceOk " + isServiceOk());
let cap = image.stopScreenStream()
logd("capture: " + cap)
}
main();
image.captureScreenStream Image Stream
- Get one frame from image stream
- @return AutoImage object or null
function main() {
logd("isServiceOk " + isServiceOk());
startEnv()
logd("isServiceOk " + isServiceOk());
for (let i = 0; i < 10; i++) {
let cap = image.captureScreenStream()
logd("capture data: " + cap)
sleep(1000)
// Recycle image to free memory
image.recycle(cap)
}
}
main();
Standard Capture
image.captureFullScreenEx Capture Full Screen as Image Object
- Capture full screen as JPG
- @return AutoImage object or null
function main() {
logd("isServiceOk " + isServiceOk());
startEnv()
logd("isServiceOk " + isServiceOk());
for (let i = 0; i < 10; i++) {
console.time(1)
let cap = image.captureFullScreenEx()
logd("capture data: " + cap + " elapsed: " + console.timeEnd(1))
image.saveTo(cap, "b.jpg");
sleep(1000)
// Recycle image to free memory
image.recycle(cap)
}
}
image.captureFullScreen Capture Full Screen as Image Object
- Capture current screen as Image (JPG format).
- @return AutoImage object or null
function main() {
logd("isServiceOk " + isServiceOk());
startEnv()
logd("isServiceOk " + isServiceOk());
for (let i = 0; i < 10; i++) {
let cap = image.captureFullScreen()
logd("capture data: " + cap)
sleep(1000)
// Recycle image to free memory
image.recycle(cap)
}
}
main();
Color Comparison
image.cmpColor Multi-Point Color Comparison
- Single- or multi-point color comparison; returns true if all points match, else false
- @param image1 Image
- @param points String like 6|1|0x969696-0x000010,1|12|0x969696,-4|0|0x969696
- @param threshold Color similarity 0.0–1.0 for find-color
- @param x Region start X; 0 = full screen
- @param y Region start Y; 0 = full screen
- @param ex End X; 0 = full screen
- @param ey End Y; 0 = full screen
- @return boolean true if found, false if not
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let points3 = "205|1130|0xff944b-0x101010,211|1158|0xff8e42,191|1175|0xfcfbf7";
let points = image.cmpColor(aimage, points3, 0.9, 0, 0, 0, 0);
logd("points " + points);
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.cmpColorJ Multi-Point Color Comparison (JSON)
- Single- or multi-point color comparison; returns true if all points match, else false
- @param image1 Image
- @param jsonFileName JSON from color tool in res folder, e.g. a.json
- @return
{boolean}true if found
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let points = image.cmpColorJ(aimage, "a.json");
logd("points " + points);
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.cmpColorEx Multi-Point Color Comparison (Extended)
- Single- or multi-point color comparison with auto screenshot; returns true if all match, else false
- @param points String like 6|1|0x969696-0x000010,1|12|0x969696,-4|0|0x969696
- @param threshold Color similarity 0.0–1.0 for find-color
- @param x Region start X; 0 = full screen
- @param y Region start Y; 0 = full screen
- @param ex End X; 0 = full screen
- @param ey End Y; 0 = full screen
- @return boolean true if found, false if not
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let points3 = "205|1130|0xff944b-0x101010,211|1158|0xff8e42,191|1175|0xfcfbf7";
let points = image.cmpColorEx(points3, 0.9, 0, 0, 0, 0);
logd("points " + points);
}
main();
image.cmpMultiColor Multi-Group Color Comparison
- Multi-point or multi-group color comparison; returns index of first matching group, or -1 if none
- @param image1 Image
- @param points Array like ["6|1|0x969696-0x000010,1|12|0x969696,-4|0|0x969696","6|1|0x969696"]
- @param threshold Color similarity 0.0–1.0 for find-color
- @param x Region start X; 0 = full screen
- @param y Region start Y; 0 = full screen
- @param ex End X; 0 = full screen
- @param ey End Y; 0 = full screen
- @return integer index of matched points, or -1 if none
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let points1 = "205|112230|0xff944b,211|1158|0xff8e42,191|1175|0xfcfbf7";
let points2 = "205|113022|0xff944b,211|1158|0xff8e42,191|1175|0xfcfbf7";
let points3 = "205|1130|0xff944b,211|1158|0xff8e42,191|1175|0xfcfbf7";
let points = image.cmpMultiColor(aimage, [points1, points2, points3], 0.9, 0, 0, 0, 0);
logd("points " + points);
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.cmpMultiColorJ Multi-Group Color Comparison (JSON)
- Multi-point or multi-group color comparison; returns index of first matching group, or -1 if none
- @param image1 Image
- @param jsonFileName JSON from color tool in res folder, e.g. a.json
- @return
{boolean}true if found
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let points = image.cmpMultiColorJ(aimage, "a.json");
logd("points " + points);
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.cmpMultiColorEx Multi-Group Color Comparison (Extended)
- Multi-point color comparison with auto screenshot; returns index of first match, or -1 if none
- @param points Array like ["6|1|0x969696-0x000010,1|12|0x969696,-4|0|0x969696","6|1|0x969696"]
- @param threshold Color similarity 0.0–1.0 for find-color
- @param x Region start X; 0 = full screen
- @param y Region start Y; 0 = full screen
- @param ex End X; 0 = full screen
- @param ey End Y; 0 = full screen
- @return integer index of matched points, or -1 if none
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let points1 = "205|112230|0xff944b,211|1158|0xff8e42,191|1175|0xfcfbf7";
let points2 = "205|113022|0xff944b,211|1158|0xff8e42,191|1175|0xfcfbf7";
let points3 = "205|1130|0xff944b,211|1158|0xff8e42,191|1175|0xfcfbf7";
let points = image.cmpMultiColorEx([points1, points2, points3], 0.9, 0, 0, 0, 0);
logd("points " + points);
}
main();
Find Color
image.findColor Single-Point Find Color
- Find a pixel in the image whose color exactly equals color; returns coordinates or null
- @param image Image
- @param color Target colors like 0xCDD7E9-0x101010
- @param threshold Color similarity 0.0–1.0 for find-color
- @param x Region start X
- @param y Region start Y
- @param ex End X
- @param ey End Y
- @param limit Result limit
- @param orz Direction 1–8
- @return Array of Point coordinates or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let points = image.findColor(aimage, "0xCDD7E9-0x101010,0xCDD7E9-0x101010", 0.9, 0, 0, 0, 0, 10, 1);
logd("points " + JSON.stringify(points));
This is an array
if (points) {
for (let i = 0; i < points.length; i++) {
logd(JSON.stringify(points[i]), points[i].x, points[i].y)
// Click coordinates
clickPoint(points[i].x, points[i].y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.findColorJ Single-Point Find Color (JSON)
- Find pixel with exact color match; params from JSON; returns coordinates or null
- @param image Image
- @param jsonFileName JSON from color tool in res folder, e.g. a.json
- @return
{null|PointIndex[]}point array or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let points = image.findColorJ(aimage, "coin.json");
logd("points " + JSON.stringify(points));
This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(JSON.stringify(points[i]), points[i].x, points[i].y)
// Click coordinates
clickPoint(points[i].x, points[i].y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.findColorEx Auto Screenshot Single-Point Find Color
- Find pixel with exact color on current screen; returns coordinates or null
- @param color Color to find
- @param threshold Color similarity 0.0–1.0 for find-color
- @param x Region start X
- @param y Region start Y
- @param ex End X
- @param ey End Y
- @param limit Result limit
- @param orz Direction 1–8
- @return Array of Point coordinates or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let points = image.findColorEx("0xCDD7E9-0x101010,0xCDD7E9-0x101010", 0.9, 0, 0, 0, 0, 10, 1);
logd("points " + JSON.stringify(points));
// This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(JSON.stringify(points[i]), points[i].x, points[i].y)
// Click coordinates
clickPoint(points[i].x, points[i].y)
}
}
}
main();
image.findColorExJ Auto Screenshot Single-Point Find Color (JSON)
- Find pixel with exact color on current screen; params from JSON; returns coordinates or null
- @param jsonFileName JSON from color tool in res folder
- @return Array of Point coordinates or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let points = image.findColorExJ("coin.json");
logd("points " + JSON.stringify(points));
// This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i], points[i].x, points[i].y)
// Click coordinates
clickPoint(points[i].x, points[i].y)
}
}
}
main();
image.findMultiColor Multi-Point Find Color
- Multi-point find-color; returns all matching points (similar to Auto.js multi-color find)
- @param image Image to find color in
- @param firstColor First point color
- @param points String like 6|1|0x969696-0x000010,1|12|0x969696,-4|0|0x969696
- @param threshold Color similarity 0.0–1.0 for find-color
- @param x Region start X
- @param y Region start Y
- @param ex End X
- @param ey End Y
- @param limit Result limit
- @param orz Direction 1–8
- @return Array of Point coordinates or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let points = image.findMultiColor(aimage, "0xDD7A5F-0x101010", "29|25|0xBB454B-0x101010,58|44|0xA6363A-0x101010", 0.9, 0, 0, 0, 0, 10, 1);
logd("points " + JSON.stringify(points));
This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i], points[i].x, points[i].y)
// Click coordinates
clickPoint(points[i].x, points[i].y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.findMultiColorJ Multi-Point Find Color (JSON)
- Multi-point find-color; params read from JSON file (similar to Auto.js multi-color find)
- Returns null if no match in the entire image
- @param image1 Image to find color in
- @param jsonFileName JSON from color tool in res folder, e.g. a.json
- @return
{null|Point[]}point array or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let points = image.findMultiColorJ(aimage, "coin.json");
logd("points " + JSON.stringify(points));
This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i], points[i].x, points[i].y)
// Click coordinates
clickPoint(points[i].x, points[i].y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.findMultiColorEx Auto Screenshot Multi-Point Find Color
- Multi-point find-color; returns all matching points (similar to Auto.js multi-color find)
- @param firstColor First point color
- @param points String like 6|1|0x969696-0x000010,1|12|0x969696,-4|0|0x969696
- @param threshold Color similarity 0.0–1.0 for find-color
- @param x Region start X
- @param y Region start Y
- @param ex End X
- @param ey End Y
- @param limit Result limit
- @param orz Direction 1–8
- @return Array of Point coordinates or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let points = image.findMultiColorEx("0xDD7A5F-0x101010", "29|25|0xBB454B-0x101010,58|44|0xA6363A-0x101010", 0.9, 0, 0, 0, 0, 10, 1);
logd("points " + JSON.stringify(points));
// This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i], points[i].x, points[i].y)
// Click coordinates
clickPoint(points[i].x, points[i].y)
}
}
}
main();
image.findMultiColorExJ Auto Screenshot Multi-Point Find Color (JSON)
- Multi-point find-color on auto-captured screen; params from JSON (similar to Auto.js)
- @param jsonFileName JSON from color tool in res folder, e.g. a.json
- @return Array of Point coordinates or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let points = image.findMultiColorExJ("coin.json");
logd("points " + JSON.stringify(points));
// This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i], points[i].x, points[i].y)
// Click coordinates
clickPoint(points[i].x, points[i].y)
}
}
}
main();
Find Non-Color
image.findNotColor Find Non-Color
- Find a pixel whose color is not equal to color; returns coordinates or null
- Requires EC HarmonyOS Next 1.0.0+
- @param image Image
- @param color Target colors like 0xCDD7E9-0x101010; generated by EC color tool
- @param threshold Color similarity 0.0–1.0 for find-color
- @param x Region start X
- @param y Region start Y
- @param ex End X
- @param ey End Y
- @param limit Result limit
- @param orz Direction 1–8
- @return Array of Point coordinates or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let points = image.findNotColor(aimage, "0xCDD7E9-0x101010,0xCDD7E9-0x101010", 0.9, 0, 0, 0, 0, 10, 1);
logd("points " + JSON.stringify(points));
This is an array
if (points) {
for (let i = 0; i < points.length; i++) {
logd(JSON.stringify(points[i]), points[i].x, points[i].y)
// Click coordinates
clickPoint(points[i].x, points[i].y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.findNotColorJ Find Non-Color (JSON)
- Find a pixel whose color is not equal to color; returns coordinates or null
- @param image1 Image
- @param jsonFileName JSON from color tool in res folder, e.g. a.json
- @return
{null|PointIndex[]}PointIndex array or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let points = image.findNotColorJ(aimage, "a.json");
logd("points " + JSON.stringify(points));
This is an array
if (points) {
for (let i = 0; i < points.length; i++) {
logd(JSON.stringify(points[i]), points[i].x, points[i].y)
// Click coordinates
clickPoint(points[i].x, points[i].y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
Find Image
image.findImageByColor Transparent Find Image
- Transparent find-image (no OpenCV init required)
- @param image Large image
- @param template Template (small) image
- @param x Find-image region start X
- @param y Find-image region start Y
- @param ex End X
- @param ey End Y
- @param threshold Image similarity 0–1; default 0.9
- @param limit Result limit; 1 for single match
- @return Array of Point coordinates or null
function main() {
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
// Read sms.png from project res folder
let sms = readResAutoImage("sms.png");
// Capture screen
let aimage = image.captureFullScreen();
logd("aimage " + aimage);
if (aimage != null) {
// Search in image
let points = image.findImageByColor(aimage, sms, 0, 0, 0, 0, 0.8, 5);
logd("points " + JSON.stringify(points));
This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i])
let x = points[i].x
let y = points[i].y
// Click coordinates
clickPoint(x, y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
// Recycle image to free memory
image.recycle(sms)
}
main();
image.findImageByColorJ Transparent Find Image (JSON)
- Find image by color; supports transparent images; no OpenCV required
- Returns null if no match in the entire image
- @param image1 Large image
- @param jsonFileName JSON from color tool in res, e.g. a.json; configure template path in JSON
- @return
{null|Point[]}point array or null
function main() {
// Capture screen
let aimage = image.captureFullScreen();
logd("aimage " + aimage);
if (aimage != null) {
// Search in image
let points = image.findImageByColorJ(aimage, "a.json");
logd("points " + JSON.stringify(points));
This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i])
let x = points[i].x
let y = points[i].y
// Click coordinates
clickPoint(x, y)
}
}
image.recycle(aimage)
}
}
main();
image.findImageByColorEx Transparent Find Image (Extended)
- Find image by color; supports transparent images; no OpenCV required
- Returns null if no match in the entire image
- @param image1 Large image
- @param template Template (small) image
- @param x Find-image region start X
- @param y Find-image region start Y
- @param ex End X
- @param ey End Y
- @param limit Result limit; 1 for single match
- @param extra Extended function; map e.g.
{"firstColorOffset":"#101010","firstColorThreshold":1.0,"otherColorOffset":"#101010","otherColorThreshold":0.9,"cmpColorSucThreshold":1.0}
- firstColorOffset: Color offset for first match, e.g. #101010
- firstColorThreshold: Threshold for first color offset, e.g. 0.9
- otherColorOffset: Color offset for remaining colors, e.g. #101010
- otherColorThreshold: Threshold for remaining color offsets, e.g. 0.9
- cmpColorSucThreshold: Fraction of colors that must match, e.g. 0.9 = 90% of points
- startX: Start X for first search point
- startY: Start Y for first search point
- @return Array of Point coordinates or null
function main() {
let d = startEnv();
logd("start service--{}", d)
let smallTmplate = readResAutoImage("tmp4.png");
for (let i = 0; i < 100; i++) {
sleep(1000)
let img = image.captureFullScreen();
logd("img = {}", img)
if (img == null) {
continue
}
console.time(1)
let extra = {
"firstColorOffset": "#202020",
"otherColorOffset": "#000000",
"cmpColorSucThreshold": 1,
"firstColorThreshold": "1",
"otherColorThreshold": "1",
"startX": 0,
"startY": 0
}
let points = image.findImageByColorEx(img, smallTmplate, 0, 0, 0, 0, 100, extra);
logd("time-{}", console.timeEnd(1))
This is an array
if (points) {
logd("points " + JSON.stringify(points));
}
image.recycle(img)
}
image.recycle(smallTmplate)
}
main()
image.findImageByColorExJ Transparent Find Image (Extended) (JSON)
- Find image by color; supports transparent images; no OpenCV required
- Returns null if no match in the entire image
- @param image1 Large image
- @param jsonFileName JSON from color tool in res, e.g. a.json; configure template path in JSON
- @return
{null|Point[]}point array or null
function main() {
sleep(1000)
// Capture screen
let aimage = image.captureFullScreen();
logd("aimage " + aimage);
if (aimage != null) {
// Search in image
let points = image.findImageByColorExJ(aimage, "a.json");
logd("points " + JSON.stringify(points));
This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i])
let x = points[i].x
let y = points[i].y
// Click coordinates
clickPoint(x, y)
}
}
image.recycle(aimage)
}
}
main();
image.initOpenCV Initialize OpenCV
- Initialize OpenCV library
- Call before find-image; first init copies libraries (may take time); later runs are fast
- @return boolean true on success, false on failure
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
sleep(1000)
let d = image.initOpenCV();
logd(d)
}
main();
image.findImage Find Image
- Find image: locate template in large image (template matching); returns Rect region or null if not found.
- @param image Large image
- @param template Template (small) image
- @param x Find-image region start X
- @param y Find-image region start Y
- @param ex End X
- @param ey End Y
- @param weakThreshold Weak threshold per template-matching round; stop if similarity below this (0~ float; default 0.7.
- @param threshold Image similarity 0–1; default 0.9
- @param limit Result limit; 1 for single match
- @param method 0: TM_SQDIFF, 1: TM_SQDIFF_NORMED, 2: TM_CCORR, 3: TM_CCORR_NORMED, 4: TM_CCOEFF, 5: TM_CCOEFF_NORMED
- @return Rect region array or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
let d = image.initOpenCV();
logd(d)
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
// Read sms.png from project res folder
let sms = readResAutoImage("sms.png");
// Capture screen
let aimage = image.captureFullScreen();
logd("aimage " + aimage);
if (aimage != null) {
// Search in image
let points = image.findImage(aimage, sms, 0, 0, 0, 0, 0.7, 0.9, 21, 5);
logd("points " + JSON.stringify(points));
This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i])
logd("similarity: " + points[i]['similarity'])
let x = parseInt((points[i].left + points[i].right) / 2)
let y = parseInt((points[i].top + points[i].bottom) / 2)
// Click coordinates
clickPoint(x, y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
// Recycle image to free memory
image.recycle(sms)
}
main();
image.findImageJ Find Image (JSON)
- Find image: locate template in large image (template matching); returns Rect region or null if not found.
- @param image1 Large image
- @param jsonFileName JSON from color tool in res, e.g. a.json; configure template path in JSON
- @return
{null|Rect[]}region array or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let d = image.initOpenCV();
logd(d)
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
// Capture screen
let aimage = image.captureFullScreen();
logd("aimage " + aimage);
if (aimage != null) {
// Search in image
let points = image.findImageJ(aimage, "a.json");
logd("points " + JSON.stringify(points));
This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i])
logd("similarity: " + points[i]['similarity'])
let x = parseInt((points[i].left + points[i].right) / 2)
let y = parseInt((points[i].top + points[i].bottom) / 2)
// Click coordinates
clickPoint(x, y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.findImage2 Find Image
- Find image: locate template in large image (template matching); returns Rect region or null if not found.
- Note: includes scaling
- EC HarmonyOS Next 1.0.0+
- @param image1 Large image
- @param template Template (small) image
- @param x Find-image region start X
- @param y Find-image region start Y
- @param ex End X
- @param ey End Y
- @param weakThreshold Image similarity 0–1; default 0.9
- @param threshold Image similarity 0–1; default 0.9
- @param limit Result limit; 1 for single match
- @param method 0: TM_SQDIFF, 1: TM_SQDIFF_NORMED, 2: TM_CCORR, 3: TM_CCORR_NORMED, 4: TM_CCOEFF, 5: TM_CCOEFF_NORMED
- @return Rect region array or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
let d = image.initOpenCV();
logd(d)
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
// Read sms.png from project res folder
let sms = readResAutoImage("sms.png");
// Capture screen
let aimage = image.captureFullScreen();
logd("aimage " + aimage);
if (aimage != null) {
// Search in image
let points = image.findImage2(aimage, sms, 0, 0, 0, 0, 0.7, 0.9, 21, 5);
logd("points " + JSON.stringify(points));
This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i])
logd("similarity: " + points[i]['similarity'])
let x = parseInt((points[i].left + points[i].right) / 2)
let y = parseInt((points[i].top + points[i].bottom) / 2)
// Click coordinates
clickPoint(x, y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
// Recycle image to free memory
image.recycle(sms)
}
main();
image.findImage2J Find Image (JSON)
- Find image: locate template in large image (template matching); returns Rect region or null if not found.
- @param image1 Large image
- @param jsonFileName JSON from color tool in res, e.g. a.json; configure template path in JSON
- @return
{null|Rect[]}region array or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
// Capture screen
let aimage = image.captureFullScreen();
logd("aimage " + aimage);
if (aimage != null) {
// Search in image
let points = image.findImage2J(aimage, "a.json");
logd("points " + JSON.stringify(points));
This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i])
logd("similarity: " + points[i]['similarity'])
let x = parseInt((points[i].left + points[i].right) / 2)
let y = parseInt((points[i].top + points[i].bottom) / 2)
// Click coordinates
clickPoint(x, y)
}
}
image.recycle(aimage)
}
}
main();
image.findImageEx Auto Screenshot Find Image
- Find image: locate template on current screen (template matching); returns Rect region or null if not found.
- @param template Template (small) image
- @param x Find-image region start X
- @param y Find-image region start Y
- @param ex End X
- @param ey End Y
- @param weakThreshold Weak threshold per template-matching round; stop if similarity below this (0~ float; default 0.7.
- @param threshold Image similarity 0–1; default 0.9
- @param limit Result limit; 1 for single match
- @param method 0: TM_SQDIFF, 1: TM_SQDIFF_NORMED, 2: TM_CCORR, 3: TM_CCORR_NORMED, 4: TM_CCOEFF, 5: TM_CCOEFF_NORMED
- @return Rect region array or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
let d = image.initOpenCV();
logd(d)
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
// Read sms.png from project res folder
let sms = readResAutoImage("sms.png");
// Search current screen, limit to one match
let points = image.findImageEx(sms, 0, 0, 0, 0, 0.7, 0.9, 21, 5);
logd("points " + JSON.stringify(points));
// This is an array
if (points && points.length > 0) {
for (let i = 0; i < points.length; i++) {
logd(points[i])
let x = parseInt((points[i].left + points[i].right) / 2)
let y = parseInt((points[i].top + points[i].bottom) / 2)
// Click coordinates
clickPoint(x, y)
}
}
// Recycle image to free memory
image.recycle(sms)
}
main();
image.matchTemplate Image Template Matching
- OpenCV template matching wrapper
- @param image Large image
- @param template Template (small) image
- @param weakThreshold Weak threshold per template-matching round; stop if similarity below this (0~ float; default 0.9.
- @param threshold Strong threshold for final match; early return if similarity exceeds this (0~ float; default 0.9.
- @param rect Find-image region; see findColor rect docs.
- @param maxLevel Default -1; usually unchanged. Auto-adjusts by image size. Uses image pyramid. level = pyramid depth, Higher level may improve speed but can cause misses (over-shrunk image) or wrong positions. Tune only if you understand it.
- @param limit Result limit; 1 for single match
- @param method 0: TM_SQDIFF, 1: TM_SQDIFF_NORMED, 2: TM_CCORR, 3: TM_CCORR_NORMED, 4: TM_CCOEFF, 5: TM_CCOEFF_NORMED
- @return Match collection or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
let d = image.initOpenCV();
logd(d)
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let temp = readResAutoImage("tmp.png");
let rectp = new Rect();
rectp.left = 0;
rectp.top = 0;
rectp.right = device.getScreenWidth();
rectp.bottom = device.getScreenHeight();
let matchs = image.matchTemplate(aimage, temp, 0.7, 0.9, rectp, -1, 10, 5);
This is an array
logd(JSON.stringify(matchs));
This is an array
if (matchs && matchs.length > 0) {
for (let i = 0; i < matchs.length; i++) {
logd(JSON.stringify(matchs[i]));
clickPoint(matchs[i].point.x, matchs[i].point.y)
}
}
// Recycle image to free memory
image.recycle(aimage)
// Recycle image to free memory
image.recycle(temp)
}
}
main();
image.matchTemplateJ Image Template Matching (JSON)
- OpenCV template matching wrapper
- @param image1 Large image
- @param jsonFileName JSON from color tool in res, e.g. a.json; configure template path in JSON
- @return
{null|Match[]}matches
function main() {
let d = image.initOpenCV();
logd(d)
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let matchs = image.matchTemplateJ(aimage, "a.json");
This is an array
logd(JSON.stringify(matchs));
This is an array
if (matchs && matchs.length > 0) {
for (let i = 0; i < matchs.length; i++) {
logd(JSON.stringify(matchs[i]));
clickPoint(matchs[i].point.x, matchs[i].point.y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.matchTemplate2 Image Template Matching
- OpenCV template matching wrapper
- Note: includes scaled find-image
- EC HarmonyOS Next 1.0.0+
- @param image1 Large image
- @param template Template (small) image
- @param weakThreshold Image similarity 0–1; default 0.9
- @param threshold Image similarity 0–1; default 0.9
- @param rect Find-image region; see findColor rect docs
- @param maxLevel Default -1; usually unchanged. Auto-adjusts by image size. Uses image pyramid. level = pyramid depth,
- Higher level may improve speed but can cause misses (over-shrunk image) or wrong positions. Tune only if you understand it.
- @param limit Result limit; 1 for single match
- @param method 0: TM_SQDIFF, 1: TM_SQDIFF_NORMED, 2: TM_CCORR, 3: TM_CCORR_NORMED, 4: TM_CCOEFF, 5: TM_CCOEFF_NORMED
- @return Match collection of matches
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
let d = image.initOpenCV();
logd(d)
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let temp = readResAutoImage("tmp.png");
let rectp = new Rect();
rectp.left = 0;
rectp.top = 0;
rectp.right = device.getScreenWidth();
rectp.bottom = device.getScreenHeight();
let matchs = image.matchTemplate2(aimage, temp, 0.7, 0.9, rectp, -1, 10, 5);
This is an array
logd(JSON.stringify(matchs));
This is an array
if (matchs && matchs.length > 0) {
for (let i = 0; i < matchs.length; i++) {
logd(JSON.stringify(matchs[i]));
clickPoint(matchs[i].point.x, matchs[i].point.y)
}
}
// Recycle image to free memory
image.recycle(aimage)
// Recycle image to free memory
image.recycle(temp)
}
}
main();
image.matchTemplate2J Image Template Matching (JSON)
- OpenCV template matching wrapper
- @param image1 Large image
- @param jsonFileName JSON from color tool in res, e.g. a.json; configure template path in JSON
- @return
{null|Match[]}matches
function main() {
let d = image.initOpenCV();
logd(d)
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let matchs = image.matchTemplate2J(aimage, "a.json");
This is an array
logd(JSON.stringify(matchs));
This is an array
if (matchs && matchs.length > 0) {
for (let i = 0; i < matchs.length; i++) {
logd(JSON.stringify(matchs[i]));
clickPoint(matchs[i].point.x, matchs[i].point.y)
}
}
// Recycle image to free memory
image.recycle(aimage)
}
}
main();
image.matchTemplateEx Image Template Matching
- OpenCV template matching wrapper on current screen capture
- @param template Template (small) image
- @param weakThreshold Weak threshold per template-matching round; stop if similarity below this (0~ float; default 0.9.
- @param threshold Strong threshold for final match; early return if similarity exceeds this (0~ float; default 0.9.
- @param rect Find-image region; see findColor rect docs.
- @param maxLevel Default -1; usually unchanged. Auto-adjusts by image size. Uses image pyramid. level = pyramid depth, Higher level may improve speed but can cause misses (over-shrunk image) or wrong positions. Tune only if you understand it.
- @param limit Result limit; 1 for single match
- @param method 0: TM_SQDIFF, 1: TM_SQDIFF_NORMED, 2: TM_CCORR, 3: TM_CCORR_NORMED, 4: TM_CCOEFF, 5: TM_CCOEFF_NORMED
- @return Match collection or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
let d = image.initOpenCV();
logd(d)
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let temp = readResAutoImage("tmp.png");
let rectp = new Rect();
rectp.left = 0;
rectp.top = 0;
rectp.right = device.getScreenWidth();
rectp.bottom = device.getScreenHeight();
let matchs = image.matchTemplateEx(temp, 0.7, 0.9, rectp, -1, 1, 5);
logd(JSON.stringify(matchs));
// This is an array
if (matchs && matchs.length > 0) {
for (let i = 0; i < matchs.length; i++) {
logd(JSON.stringify(matchs[i]));
clickPoint(matchs[i].point.x, matchs[i].point.y)
}
}
// Recycle image to free memory
image.recycle(aimage)
// Recycle image to free memory
image.recycle(temp)
}
main();
Grayscale
image.gray Grayscale Image
- Grayscale image
- Requires EC HarmonyOS Next USB 2.9.0+
- @param img AutoImage object
- @return
{null|AutoImage}
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
for (let i = 0; i < 1000; i++) {
sleep(1000);
let s = new Date().getTime();
let d = image.captureFullScreenEx();
if (d) {
let saved = image.saveTo(d, "D:/testb.png");
let s = new Date().getTime();
let bd = image.gray(d);
logd("time " + (new Date().getTime() - s))
logd(bd.uuid);
if (bd) {
let saved = image.saveTo(bd, "D:/testb2.png");
logd("saved " + saved)
exit()
}
// Recycle image to free memory
image.recycle(d)
}
}
}
main();
Binarization
image.binaryzation Binarize Image
- Binarize AutoImage
- @param img AutoImage object
- @param type Binarization type; usually 1
- 0: grayscale above threshold = max, else 0
- 1: grayscale above threshold = 0, else max
- 2: above threshold = threshold, else unchanged
- 3: above threshold unchanged, else 0
- 4: above threshold = 0, else unchanged
- 7: not supported
- 8: Otsu automatic global threshold
- 16: Triangle automatic global threshold
- @param threshold Binarization coefficient, 0–255
- @return AutoImage object or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
for (let i = 0; i < 1000; i++) {
sleep(1000);
let s = new Date().getTime();
let d = image.captureFullScreenEx();
if (d) {
let saved = image.saveTo(d, "D:/testb.png");
let s = new Date().getTime();
let bd = image.binaryzation(d, 1, 200);
logd("time " + (new Date().getTime() - s))
logd(bd.uuid);
if (bd) {
let saved = image.saveTo(bd, "D:/testb2.png");
logd("saved " + saved)
exit()
}
// Recycle image to free memory
image.recycle(d)
}
}
}
main();
image.binaryzationBitmap Binarize BufferedImage
- Binarize Java BufferedImage
- @param bitmap BufferedImage object
- @param type Binarization type; usually 1
- 0: grayscale above threshold = max, else 0
- 1: grayscale above threshold = 0, else max
- 2: above threshold = threshold, else unchanged
- 3: above threshold unchanged, else 0
- 4: above threshold = 0, else unchanged
- 7: not supported
- 8: Otsu automatic global threshold
- 16: Triangle automatic global threshold
- @param threshold Binarization coefficient, 0–255
- @return BufferedImage object or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
for (let i = 0; i < 1000; i++) {
sleep(1000);
let s = new Date().getTime();
let d = image.captureFullScreen();
if (d) {
let s = new Date().getTime();
let bd = image.binaryzationBitmap(image.imageToBitmap(d), 1, 200);
logd("time " + (new Date().getTime() - s))
logd(bd);
if (bd) {
exit()
}
// Recycle image to free memory
image.recycle(d)
}
}
}
main();
image.binaryzationBitmapEx Binarize BufferedImage
- Adaptive binarization via OpenCV adaptiveThreshold
- @param bitmap BufferedImage object
- @param map Map parameters
- diameter: Denoise diameter; see OpenCV bilateralFilter
- adaptiveMethod: 0=ADAPTIVE_THRESH_MEAN_C, 1=ADAPTIVE_THRESH_GAUSSIAN_C
- blockSize: Neighborhood block size in pixels; use odd values like 3, 5, 7
- c: Constant offset adjustment
{"diameter":20,"adaptiveMethod":1,"c":9,"blockSize":51}
- @return BufferedImage object or null
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
for (let i = 0; i < 1000; i++) {
sleep(1000);
let d = image.captureFullScreen();
if (d) {
let s = new Date().getTime();
let bd = image.binaryzationBitmapEx(image.imageToBitmap(d),
{
"diameter": 20,
"adaptiveMethod": 1,
"c": 9, "blockSize": 51
});
logd("time " + (new Date().getTime() - s))
logd(bd);
if (bd) {
exit()
}
// Recycle image to free memory
image.recycle(d)
}
}
}
main();
image.binaryzationEx Binarize Image
- Adaptive binarization via OpenCV adaptiveThreshold
- @param img AutoImage object
- @param map Map parameters
- diameter: Denoise diameter; see OpenCV bilateralFilter
- adaptiveMethod: 0=ADAPTIVE_THRESH_MEAN_C, 1=ADAPTIVE_THRESH_GAUSSIAN_C
- blockSize: Neighborhood block size in pixels; use odd values like 3, 5, 7
- c: Constant offset adjustment
{"diameter":20,"adaptiveMethod":1,"c":9,"blockSize":51}
- @return
{null|AutoImage}
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
for (let i = 0; i < 1000; i++) {
sleep(1000);
let s = new Date().getTime();
let d = image.captureFullScreenEx();
if (d) {
let saved = image.saveTo(d, "D:/testb.png");
let s = new Date().getTime();
let bd = image.binaryzationEx(d, {
"diameter": 20,
"adaptiveMethod": 1,
"c": 9, "blockSize": 51
});
logd("time " + (new Date().getTime() - s))
logd(bd.uuid);
if (bd) {
let saved = image.saveTo(bd, "D:/testb2.png");
logd("saved " + saved)
exit()
}
// Recycle image to free memory
image.recycle(d)
}
}
}
main();
Other
image.rotateImage Rotate Image
- Rotate image
- Requires EC HarmonyOS Next 1.0.0+
- @param img Image object
- @param degree Degrees: 0=portrait (home bottom), -90/90 as above
- @return
{null|AutoImage}
function main() {
let img = image.captureFullScreen()
logd(" img width " + image.getWidth(img))
let img2 = image.rotateImage(img, -90);
image.recycle(img)
logd(" img2 width " + image.getWidth(img2))
image.recycle(img2)
}
main();
image.scaleImage Scale Image
- Scale image
- Requires EC HarmonyOS Next 1.0.0+
- @param img
{AutoImage}object - @param w Width
- @param h Height
- @return AutoImage object or null
function main() {
let img = image.captureFullScreen()
logd(" img width " + image.getWidth(img2))
let img2 = image.scaleImage(img, 100, 200);
image.recycle(img)
logd(" img2 width " + image.getWidth(img2))
image.recycle(img2)
}
main();
image.readImage Read File as Image
- Read image at path and return
{@link AutoImage}, or null if missing or undecodable - @param path Image path
- @return AutoImage object or null
function main() {
let autoimg = image.readImage("F:/a.png");
// Recycle image to free memory
image.recycle(autoimg)
}
main();
image.readBitmap Read File as Bitmap
- Read image at path and return
{@link AutoImage}, or null if missing or undecodable - @param path Image path
- @return Java BufferedImage or null
function main() {
let autoimg = image.readBitmap("F:/a.png");
// Recycle image to free memory
image.recycle(autoimg)
}
main();
image.scaleBitmap Scale Image
- Scale image
- Requires EC HarmonyOS Next 1.0.0+
- @param img
{BufferedImage}object - @param w Width
- @param h Height
- @return BufferedImage object or null
function main() {
let autoimg = image.readBitmap("F:/a.png");
let bbs = image.scaleBitmap(autoimg, 100, 200)
logd("bb " + bbs)
// Save to file for inspection
}
main();
image.pixelInImage Pixel Color at Image Coordinates
- Returns ARGB of pixel at (x, y) in image.
- Format is 0xAARRGGBB (32-bit integer)
- Origin at top-left; x axis along top, y axis along left
- @param image Image
- @param x Pixel X to read
- @param y Pixel Y to read
- @return integer
function main() {
startEnv()
logd("Screen capture request result... " + request)
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let imageX = image.captureFullScreen();
let color = image.pixelInImage(imageX, 100, 100);
// Recycle image to free memory
image.recycle(imageX)
}
main();
image.argb Color to Hex String
- Convert integer color value to hex RGB string
- @param color Integer value
- @return
{string}Color string
function main() {
let req = startEnv();
if (!req) {
logd("permission request failed");
return;
}
// Wait ≥1s after permission (more on slow devices) before capture
sleep(1000)
let aimage = image.captureFullScreen();
if (aimage != null) {
let points3 = "765|22|0x1296DB";
logd("==" + image.argb(image.pixel(aimage, 765, 22)));
let points = image.cmpColor(aimage, points3, 0.5, 0, 0, 0, 0);
logd("points " + points);
// Recycle image to free memory
image.recycle(aimage)
}
}
main();