1627 lines
52 KiB
JavaScript
1627 lines
52 KiB
JavaScript
import * as Blockly from 'blockly/core';
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const IMAGE_HUE = "#90A244";
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export const true_false = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput("")
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.appendField(new Blockly.FieldDropdown([
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["否", "0"],
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["是", "1"]
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]), "flag");
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this.setOutput(true);
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this.setTooltip();
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}
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};
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export const image_Image = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendValueInput('SUB')
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.setCheck("var");
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this.appendValueInput('path')
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.appendField("打开路径")
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.setCheck(String);
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this.setInputsInline(true);
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this.setPreviousStatement(true, null);
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this.setNextStatement(true, null);
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this.setTooltip("打开一个新的图像对象");
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}
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};
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export const image_Image1 = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendValueInput('SUB')
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.setCheck("var");
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this.appendDummyInput()
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.appendField("打开空图");
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this.setInputsInline(true);
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this.setPreviousStatement(true);
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this.setNextStatement(true);
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this.setTooltip("打开一个空的图像对象");
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}
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};
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export const image_getinfo = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("图像信息");
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this.appendValueInput('VAR')
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.appendField("图像")
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.setCheck("var");
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this.appendDummyInput()
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.appendField("获取")
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.appendField(new Blockly.FieldDropdown([
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["宽度", "width"],
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["高度", "height"],
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["格式", "format"],
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["大小", "size"]
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]), "key");
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this.setOutput(true);
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this.setInputsInline(true);
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this.setTooltip("获取图像的宽度、高度、格式、大小");
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}
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};
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export const image_save = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("图像保存");
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this.appendValueInput('VAR')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("图像")
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.setCheck("var");
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this.appendValueInput('path')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("路径")
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.setCheck(String);
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this.setInputsInline(false);
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this.setPreviousStatement(true);
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this.setNextStatement(true);
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this.setTooltip("图像的副本保存到文件系统");
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}
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};
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export const image_copy = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("图像截取");
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this.appendValueInput('VAR')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("图像")
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.setCheck("var");
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this.appendValueInput('LIST')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("区域-xywh");
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this.setOutput(true);
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this.setInputsInline(false);
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this.setTooltip("复制一个图像图像的副本");
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}
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};
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//-----------
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export const image_RGB = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("RGB");
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this.appendDummyInput()
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.appendField("[");
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this.appendValueInput('R')
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//.appendField(",")
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.setCheck(Number);
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this.appendValueInput('G')
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.appendField(",")
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.setCheck(Number);
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this.appendValueInput('B')
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.appendField(",")
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.setCheck(Number);
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this.appendDummyInput()
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.appendField("]")
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this.setOutput(true);
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this.setInputsInline(true);
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this.setTooltip("对图像进行适当压缩");
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}
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};
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export const image_compress = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("图像压缩");
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this.appendValueInput('VAR')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("图像")
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.setCheck("var");
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this.appendValueInput('quality')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("压缩率")
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.setCheck(Number);
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this.setOutput(true);
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this.setInputsInline(false);
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this.setTooltip("对图像进行适当压缩");
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}
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};
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export const image_clear = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("图像清除");
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this.appendValueInput('VAR')
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.appendField("图像")
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.setCheck("var");
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this.setInputsInline(true);
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this.setPreviousStatement(true);
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this.setNextStatement(true);
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this.setTooltip("将图像中的所有像素设置为零");
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}
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};
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export const image_tonew = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("图像转换");
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this.appendValueInput('VAR')
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.appendField("图像")
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.setCheck("var");
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this.appendDummyInput()
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.appendField("转换为")
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.appendField(new Blockly.FieldDropdown([
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["灰度图", "to_grayscale"],
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["彩色图", "to_rgb565"],
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["彩虹图", "to_rainbow"],
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["AI格式", "pix_to_ai"],
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["字节块", "to_bytes"]
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]), "key");
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this.setOutput(true);
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this.setInputsInline(true);
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this.setTooltip("将图像转换为灰度图、彩色图、彩虹图像");
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}
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};
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export const image_set_pixel = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("修改点颜色");
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this.appendValueInput('VAR')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("图像")
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.setCheck("var");
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this.appendValueInput('LIST')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("坐标-xy");
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this.appendValueInput('color')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("颜色")
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.setCheck(Number);
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this.setOutput(true);
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this.setInputsInline(false);
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this.setTooltip("设置图像某点像素值");
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}
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};
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export const image_get_pixel = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("获取点颜色");
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this.appendValueInput('VAR')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("图像")
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.setCheck("var");
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this.appendValueInput('LIST')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("坐标-xy");
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this.setOutput(true);
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this.setInputsInline(false);
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this.setTooltip("获取图像某点像素值");
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}
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};
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//--图像绘制---------------------------------------------------------------//
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//----开始--------------cool.ai-----弃用字体加载，出厂内存加载------------------
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export const image_font_load = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("字库加载");
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this.appendValueInput('path')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("路径")
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.setCheck(String);
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this.setInputsInline(false);
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this.setPreviousStatement(true);
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this.setNextStatement(true);
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this.setTooltip("从SD中加载需要显示文字的字库");
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}
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};
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export const image_font_free = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("字库释放");
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this.setInputsInline(false);
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this.setPreviousStatement(true);
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this.setNextStatement(true);
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this.setTooltip("释放字库所占的内存");
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}
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};
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export const image_draw_string_flash = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("绘制文本(中)");
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this.appendValueInput('VAR')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("图像")
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.setCheck("var");
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this.appendValueInput('x0')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("起-x")
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.setCheck(Number);
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this.appendValueInput('y0')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("起-y")
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.setCheck(Number);
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this.appendValueInput('tex')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("内容")
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.setCheck(String);
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this.appendValueInput('color')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("颜色")
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.setCheck(Number);
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this.appendValueInput('scale')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("字号")
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.setCheck(Number);
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this.appendValueInput('x_spacing')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("间距")
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.setCheck(Number);
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this.setOutput(true);
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//this.setInputsInline(true);
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this.setTooltip("图像上绘制一个文本");
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}
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};
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//----结束--------------cool.ai-----弃用字体加载，出厂内存加载------------------
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export const image_draw_string_UTF = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("绘制文本");
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this.appendValueInput('VAR')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("图像")
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.setCheck("var");
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this.appendValueInput('x0')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("起-x")
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.setCheck(Number);
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this.appendValueInput('y0')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("起-y")
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.setCheck(Number);
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this.appendValueInput('tex')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("内容")
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.setCheck(String);
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this.appendValueInput('color')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("颜色")
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.setCheck(Number);
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this.appendValueInput('scale')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("字号")
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.setCheck(Number);
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this.appendValueInput('x_spacing')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("间距")
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.setCheck(Number);
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this.setOutput(true);
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//this.setInputsInline(true);
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this.setTooltip("图像上绘制一个中文文本");
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}
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};
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export const image_draw_string = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("绘制文本(英)");
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this.appendValueInput('VAR')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("图像")
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.setCheck("var");
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this.appendValueInput('x0')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("起-x")
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.setCheck(Number);
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this.appendValueInput('y0')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("起-y")
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.setCheck(Number);
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this.appendValueInput('tex')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("内容")
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.setCheck(String);
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this.appendValueInput('color')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("颜色")
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.setCheck(Number);
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this.appendValueInput('scale')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("字号")
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.setCheck(Number);
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this.setOutput(true);
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//this.setInputsInline(true);
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this.setTooltip("图像上绘制一个字符文本");
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}
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};
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export const image_draw_line = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("绘制直线");
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this.appendValueInput('VAR')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("图像")
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.setCheck("var");
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this.appendValueInput('LIST')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("坐标-xyxy");
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this.appendValueInput('color')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("颜色")
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.setCheck(Number);
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this.appendValueInput('thi')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("粗细")
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.setCheck(Number);
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this.setOutput(true);
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this.setInputsInline(false);
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this.setTooltip("图像上绘制一条从(x0，y0)到(x1，y1)的线");
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}
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};
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export const image_draw_arrow = {
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init: function () {
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this.setColour(IMAGE_HUE);
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this.appendDummyInput()
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.appendField("绘制箭头");
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this.appendValueInput('VAR')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("图像")
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.setCheck("var");
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this.appendValueInput('LIST')
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.setAlign(Blockly.inputs.Align.RIGHT)
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.appendField("坐标-xyxy");
|
||
this.appendValueInput('color')
|
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.setAlign(Blockly.inputs.Align.RIGHT)
|
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.appendField("颜色")
|
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.setCheck(Number);
|
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this.appendValueInput('thi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
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.appendField("大小")
|
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.setCheck(Number);
|
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this.setOutput(true);
|
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this.setInputsInline(false);
|
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this.setTooltip("图像上绘制一个箭头");
|
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}
|
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};
|
||
|
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export const image_draw_cross = {
|
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init: function () {
|
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this.setColour(IMAGE_HUE);
|
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this.appendDummyInput()
|
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.appendField("绘制十字");
|
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this.appendValueInput('VAR')
|
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.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
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.setCheck("var");
|
||
this.appendValueInput('LIST')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("坐标-xy");
|
||
this.appendValueInput('color')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("颜色")
|
||
.setCheck(Number);
|
||
this.appendValueInput('size')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("延伸")
|
||
.setCheck(Number);
|
||
this.appendValueInput('thi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("粗细")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("图像上绘制一个十字");
|
||
}
|
||
};
|
||
|
||
export const image_draw_circle = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("绘制圆形");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('LIST')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("坐标-xyr");
|
||
this.appendValueInput('color')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("颜色")
|
||
.setCheck(Number);
|
||
this.appendValueInput('thi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("粗细")
|
||
.setCheck(Number);
|
||
this.appendValueInput('fil')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("填充")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("图像上绘制一个圆形");
|
||
}
|
||
};
|
||
|
||
export const image_draw_rectangle = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("绘制矩形");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('LIST')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("坐标-xywh");
|
||
this.appendValueInput('color')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("颜色")
|
||
.setCheck(Number);
|
||
this.appendValueInput('thi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("粗细")
|
||
.setCheck(Number);
|
||
this.appendValueInput('fil')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("填充")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("图像上绘制一个矩形");
|
||
}
|
||
};
|
||
|
||
|
||
export const image_draw_keypoints = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("绘制特征点");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('keypoints')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("对象");
|
||
this.appendValueInput('color')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("颜色")
|
||
.setCheck(Number);
|
||
this.appendValueInput('size')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("大小")
|
||
.setCheck(Number);
|
||
this.appendValueInput('thi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("粗细")
|
||
.setCheck(Number);
|
||
this.appendValueInput('fil')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("填充")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("绘制一个特征点对象的各个点");
|
||
}
|
||
};
|
||
|
||
export const image_draw_image = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("绘制图像");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('LIST')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("坐标-xy");
|
||
this.appendValueInput('x_scale')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("x缩放")
|
||
.setCheck(Number);
|
||
this.appendValueInput('y_scale')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("y缩放")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("绘制一个image图像");
|
||
}
|
||
};
|
||
|
||
|
||
//--形状识别----------------------------------------------//
|
||
|
||
|
||
|
||
export const image_find_lines = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("直线识别");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendValueInput('threshold')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("阈值")
|
||
.setCheck(Number);
|
||
this.appendValueInput('theta_margin')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("合并角度")
|
||
.setCheck(Number);
|
||
this.appendValueInput('rho_margin')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("合并斜率")
|
||
.setCheck(Number);
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[line]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("使用霍夫变换识别直线，返回image.line对象列表");
|
||
}
|
||
};
|
||
|
||
export const image_find_line_segments = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("线段识别");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendValueInput('distance')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("间距")
|
||
.setCheck(Number);
|
||
this.appendValueInput('difference')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("合并角度")
|
||
.setCheck(Number);
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[line]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("使用霍夫变换识别线段，返回image.line对象列表");
|
||
}
|
||
};
|
||
|
||
export const image_find_circles = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("圆形识别");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendValueInput('threshold')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("阈值")
|
||
.setCheck(Number);
|
||
this.appendValueInput('r_min')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("最小r")
|
||
.setCheck(Number);
|
||
this.appendValueInput('r_max')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("最大r")
|
||
.setCheck(Number);
|
||
this.appendValueInput('r_step')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("步长r")
|
||
.setCheck(Number);
|
||
this.appendValueInput('x_margin')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("合并x值")
|
||
.setCheck(Number);
|
||
this.appendValueInput('y_margin')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("合并y值")
|
||
.setCheck(Number);
|
||
this.appendValueInput('r_margin')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("合并r值")
|
||
.setCheck(Number);
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[circle]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("使用霍夫变换识别圆形，返回image.cirle对象列表");
|
||
}
|
||
};
|
||
|
||
export const image_find_rects = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("矩形识别");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendValueInput('threshold')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("阈值")
|
||
.setCheck(Number);
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[rect]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("使用四元检测识别矩形，返回image.rect对象列表");
|
||
}
|
||
};
|
||
|
||
export const image_get_regression = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("线性回归");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('threshold')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("阈值")
|
||
.setCheck(Number);
|
||
this.appendValueInput('invert')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("阈值反转");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendValueInput('robust')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("泰尔指数")
|
||
.setCheck(Number);
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[line]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("计算线性回归，返回image.line对象列表");
|
||
}
|
||
};
|
||
|
||
//--形状列表解析------------------------------------------//
|
||
export const image_line = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("直线解析");
|
||
this.appendValueInput('VAR')
|
||
.appendField("对象")
|
||
.setCheck("var");
|
||
this.appendDummyInput()
|
||
.appendField("获取")
|
||
.appendField(new Blockly.FieldDropdown([
|
||
["坐标-xywh", "line"],
|
||
["x1分量", "x1"],
|
||
["y1分量", "y1"],
|
||
["x2分量", "x2"],
|
||
["y2分量", "y2"],
|
||
["长度", "length"],
|
||
["角度", "theta"],
|
||
["斜率", "rho"],
|
||
["模", "magnitude"]
|
||
]), "key");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("通过遍历image.line列表，获取直线信息");
|
||
}
|
||
};
|
||
|
||
export const image_circle = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("圆形解析");
|
||
this.appendValueInput('VAR')
|
||
.appendField("对象")
|
||
.setCheck("var");
|
||
this.appendDummyInput()
|
||
.appendField("获取")
|
||
.appendField(new Blockly.FieldDropdown([
|
||
["坐标-xyr", "circle"],
|
||
["x分量", "x"],
|
||
["y分量", "y"],
|
||
["r分量", "r"]
|
||
]), "key");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("通过遍历image.circle列表，获取圆形信息");
|
||
}
|
||
};
|
||
|
||
export const image_rect = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("矩形解析");
|
||
this.appendValueInput('VAR')
|
||
.appendField("对象")
|
||
.setCheck("var");
|
||
this.appendDummyInput()
|
||
.appendField("获取")
|
||
.appendField(new Blockly.FieldDropdown([
|
||
["坐标-xywh", "rect"],
|
||
["x分量", "x"],
|
||
["y分量", "y"],
|
||
["w分量", "w"],
|
||
["h分量", "h"]
|
||
]), "key");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("通过遍历image.rect列表，获取矩形信息");
|
||
}
|
||
};
|
||
|
||
|
||
//--图像滤波----------------------------------------------//
|
||
|
||
export const image_histeq = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("直方图均衡");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('key')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("自适应");
|
||
this.appendValueInput('limit')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("对比度")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("图像上的简单直方图均衡化");
|
||
}
|
||
};
|
||
|
||
export const image_mean = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("模糊滤波");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput("size")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("卷积核尺寸")
|
||
.setCheck(Number);
|
||
this.appendValueInput('key')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("自适应");
|
||
this.appendValueInput("offset")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("补偿")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("图像上的简单模糊滤波");
|
||
}
|
||
};
|
||
|
||
export const image_cartoon = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("卡通化滤波");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput("seed")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("原始差异")
|
||
.setCheck(Number);
|
||
this.appendValueInput("float")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("相邻差异")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("图像上的简单卡通滤波器");
|
||
}
|
||
};
|
||
|
||
export const image_erode = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("图像腐蚀");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput("size")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("卷积核尺寸")
|
||
.setCheck(Number);
|
||
this.appendValueInput("threshold")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("阈值")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("图像腐蚀，从分割区域的边缘删除像素（白色目标区域）");
|
||
}
|
||
};
|
||
|
||
export const image_dilate = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("图像膨胀");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput("size")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("卷积核尺寸")
|
||
.setCheck(Number);
|
||
this.appendValueInput("threshold")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("阈值")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("图像膨胀，将像素添加到分割区域的边缘中（白色目标区域）");
|
||
}
|
||
};
|
||
|
||
export const image_flood_fill = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("图像填充");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('LIST')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("开始坐标");
|
||
this.appendValueInput('color')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("颜色")
|
||
.setCheck(Number);
|
||
this.appendValueInput("seed")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("原始差异")
|
||
.setCheck(Number);
|
||
this.appendValueInput("float")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("相邻差异")
|
||
.setCheck(Number);
|
||
this.appendValueInput('invert')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("反转");
|
||
this.appendValueInput('clear')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("清除");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("像洪水一样填充图像中低矮凹陷的地方（洪水填充）");
|
||
}
|
||
};
|
||
|
||
export const image_linpolar = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("图像投影");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('key')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("垂直投影");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("图像从笛卡尔坐标到线性极坐标重新投影");
|
||
}
|
||
};
|
||
|
||
export const image_invert = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("图像反转");
|
||
this.appendValueInput('VAR')
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.setOutput(true);
|
||
this.setInputsInline(true);
|
||
this.setTooltip("翻转图像中的所有像素值");
|
||
}
|
||
};
|
||
|
||
export const image_lens_corr = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("校正缩放");
|
||
this.appendValueInput('VAR')
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput("strength")
|
||
.appendField("校正值")
|
||
.setCheck(Number);
|
||
this.appendValueInput("zoom")
|
||
.appendField("缩放值")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("翻转图像中的所有像素值");
|
||
}
|
||
};
|
||
|
||
|
||
export const image_binary = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("图像二值化");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('threshold')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("阈值")
|
||
.setCheck(Number);
|
||
this.appendValueInput('invert')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("阈值反转");
|
||
this.appendValueInput('zero')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("阈值像素为零");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("根据像素是否在阈值列表 thresholds 中的阈值内，将图像中的所有像素设置为黑色或白色。");
|
||
}
|
||
};
|
||
|
||
|
||
export const image_morph = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("图像边缘检测");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('size')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("卷积核尺寸")
|
||
.setCheck(Number);
|
||
this.appendValueInput('kernel')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("内核");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("通过过滤器内核对图像进行卷积。");
|
||
}
|
||
};
|
||
|
||
//--维码识别----------------------------------------------//
|
||
|
||
|
||
export const image_find_barcodes = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("条形码识别");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[barcode]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setOutput(true);
|
||
this.setTooltip("使用条形码识别，返回image.barcode对象列表");
|
||
}
|
||
};
|
||
|
||
export const image_find_qrcodes = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("二维码识别");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[qrcode]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("使用二维码识别，返回image.line对象列表");
|
||
}
|
||
};
|
||
|
||
export const image_find_apriltags = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("AprilTag识别");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[apriltag]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("使用image.TAG36H11识别，返回image.apriltag对象列表");
|
||
}
|
||
};
|
||
|
||
|
||
|
||
|
||
|
||
|
||
//--维码列表解析------------------------------------------//
|
||
|
||
|
||
export const image_qrcode = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("二维码解析");
|
||
this.appendValueInput('VAR')
|
||
.appendField("对象")
|
||
.setCheck("var");
|
||
this.appendDummyInput()
|
||
.appendField("获取")
|
||
.appendField(new Blockly.FieldDropdown([
|
||
["坐标-xywh", "rect"],
|
||
["x分量", "x"],
|
||
["y分量", "y"],
|
||
["w分量", "w"],
|
||
["h分量", "h"],
|
||
["内容", "payload"],
|
||
["版本", "version"],
|
||
["掩码", "mask"],
|
||
["类型", "data_type"]
|
||
]), "key");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("通过遍历image.qrcode列表，获取二维码信息");
|
||
}
|
||
};
|
||
|
||
export const image_barcode = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("条形码解析");
|
||
this.appendValueInput('VAR')
|
||
.appendField("对象")
|
||
.setCheck("var");
|
||
this.appendDummyInput()
|
||
.appendField("获取")
|
||
.appendField(new Blockly.FieldDropdown([
|
||
["坐标-xywh", "rect"],
|
||
["x分量", "x"],
|
||
["y分量", "y"],
|
||
["w分量", "w"],
|
||
["h分量", "h"],
|
||
["内容", "payload"],
|
||
["类型", "type"],
|
||
["角度", "rotation"]
|
||
]), "key");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("通过遍历image.barcode列表，获取条形码信息");
|
||
}
|
||
};
|
||
|
||
|
||
export const image_apriltag = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("AprilTag解析");
|
||
this.appendValueInput('VAR')
|
||
.appendField("对象")
|
||
.setCheck("var");
|
||
this.appendDummyInput()
|
||
.appendField("获取")
|
||
.appendField(new Blockly.FieldDropdown([
|
||
["坐标-xywh", "rect"],
|
||
["x分量", "x"],
|
||
["y分量", "y"],
|
||
["w分量", "w"],
|
||
["h分量", "h"],
|
||
["中心-x", "cx"],
|
||
["中心-y", "cy"],
|
||
["号码", "id"],
|
||
["家族", "family"],
|
||
["弧度", "rotation"],
|
||
["x向距离", "x_translation"],
|
||
["y向距离", "y_translation"],
|
||
["z向距离", "z_translation"],
|
||
["x向弧度", "x_rotation"],
|
||
["y向弧度", "y_rotation"],
|
||
["z向弧度", "z_rotation"]
|
||
]), "key");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("通过遍历image.apriltag列表，获取Apriltag信息");
|
||
}
|
||
};
|
||
|
||
|
||
//--颜色识别----------------------------------------------//
|
||
|
||
|
||
export const image_find_blobs = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("色块追踪");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('LIST')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("阈值LAB");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendValueInput("area")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("滤掉区域")
|
||
.setCheck(Number);
|
||
this.appendValueInput("pixel")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("滤掉素数")
|
||
.setCheck(Number);
|
||
this.appendValueInput("margin")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("合并")
|
||
.setCheck(Number);
|
||
this.appendValueInput('key')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("重叠");
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[blob]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("使用色块追踪，返回image.blob对象列表");
|
||
}
|
||
};
|
||
|
||
export const image_get_histogram = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("颜色识别");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[histogram]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("使用直方图识别颜色，返回image.histogram对象列表");
|
||
}
|
||
};
|
||
|
||
|
||
//--颜色列表解析------------------------------------------//
|
||
|
||
|
||
export const image_blob = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("追踪解析");
|
||
this.appendValueInput('VAR')
|
||
.appendField("对象")
|
||
.setCheck("var");
|
||
this.appendDummyInput()
|
||
.appendField("获取")
|
||
.appendField(new Blockly.FieldDropdown([
|
||
["坐标-xywh", "rect"],
|
||
["x分量", "x"],
|
||
["y分量", "y"],
|
||
["w分量", "w"],
|
||
["h分量", "h"],
|
||
["中心-x", "cx"],
|
||
["中心-y", "cy"],
|
||
["像素量", "pixels"],
|
||
["弧度", "rotation"],
|
||
["号码数", "code"],
|
||
["合并量", "count"],
|
||
["面积", "area"],
|
||
["密度比", "density"]
|
||
]), "key");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("通过image.blob列表，获取追踪色块信息");
|
||
}
|
||
};
|
||
|
||
|
||
export const image_Histogram = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("色阈浮点");
|
||
this.appendValueInput('VAR')
|
||
.appendField("对象")
|
||
.setCheck("var");
|
||
this.appendDummyInput()
|
||
.appendField("获取")
|
||
.appendField(new Blockly.FieldDropdown([
|
||
["灰度图浮点列表", "bins"],
|
||
["LAB的L浮点列表", "l_bins"],
|
||
["LAB的A浮点列表", "a_bins"],
|
||
["LAB的B浮点列表", "b_bins"]
|
||
]), "key");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("通过遍历image.barcode列表，获取条形码信息");
|
||
}
|
||
};
|
||
|
||
export const image_percentile = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("颜色解析");
|
||
this.appendValueInput('VAR')
|
||
.appendField("对象")
|
||
.setCheck("var");
|
||
this.appendValueInput("percentile")
|
||
.appendField("CDF")
|
||
.setCheck(Number);
|
||
this.appendDummyInput()
|
||
.appendField("获取")
|
||
.appendField(new Blockly.FieldDropdown([
|
||
["灰度图值", "value"],
|
||
["LAB的L值", "l_value"],
|
||
["LAB的A值", "a_value"],
|
||
["LAB的B值", "b_value"]
|
||
]), "key");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("通过histogram列表，获取识别颜色信息");
|
||
}
|
||
};
|
||
|
||
export const image_threshold = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("色阈解析");
|
||
this.appendValueInput('VAR')
|
||
.appendField("对象")
|
||
.setCheck("var");
|
||
this.appendDummyInput()
|
||
.appendField("获取")
|
||
.appendField(new Blockly.FieldDropdown([
|
||
["灰度图值", "value"],
|
||
["LAB的L值", "l_value"],
|
||
["LAB的A值", "a_value"],
|
||
["LAB的B值", "b_value"]
|
||
]), "key");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("通过遍历image.barcode列表，获取条形码信息");
|
||
}
|
||
};
|
||
|
||
//--颜色格式转换------------------------------------------//
|
||
|
||
|
||
export const image_lab_to_rgb = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("RGB888值");
|
||
this.appendValueInput('LIST')
|
||
.appendField("由LAB");
|
||
this.setOutput(true);
|
||
this.setInputsInline(true);
|
||
this.setTooltip("LAB转RGB888");
|
||
}
|
||
};
|
||
|
||
export const image_rgb_to_lab = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("LAB值");
|
||
this.appendValueInput('LIST')
|
||
.appendField("由RGB888");
|
||
this.setOutput(true);
|
||
this.setInputsInline(true);
|
||
this.setTooltip("RGB888转LAB");
|
||
}
|
||
};
|
||
|
||
export const image_rgb_to_grayscale = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("灰度值");
|
||
this.appendValueInput('LIST')
|
||
.appendField("由RGB888");
|
||
this.setOutput(true);
|
||
this.setInputsInline(true);
|
||
this.setTooltip("RGB888转灰度图");
|
||
}
|
||
};
|
||
|
||
export const image_grayscale_to_rgb = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("RGB888");
|
||
this.appendValueInput("g_value")
|
||
.appendField("由灰度值")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
this.setInputsInline(true);
|
||
this.setTooltip("灰度图转RGB888");
|
||
}
|
||
};
|
||
|
||
//--特征识别----------------------------------------------//
|
||
|
||
export const image_find_hog = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("定向梯度图");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendValueInput("size")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("线长")
|
||
.setCheck(Number);
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("用HOG（定向梯度直方图）线替换ROI中的像素，仅支持灰度图像");
|
||
}
|
||
};
|
||
|
||
|
||
export const image_find_keypoints = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("特征识别");
|
||
this.appendValueInput('VAR')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("图像")
|
||
.setCheck("var");
|
||
this.appendValueInput('roi')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("区域-xywh");
|
||
this.appendValueInput("max_keypoints")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("关键点数")
|
||
.setCheck(Number);
|
||
this.appendValueInput("threshold")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("角点数")
|
||
.setCheck(Number);
|
||
this.appendValueInput("scale_factor")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("比例因子")
|
||
.setCheck(Number);
|
||
this.appendValueInput("normalized")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("多比例")
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[keypoints]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("使用特征识别，返回image.keypoints对象列表");
|
||
}
|
||
};
|
||
|
||
export const image_match_descriptor = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("特征比较");
|
||
this.appendValueInput('VAR1')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("对象1")
|
||
.setCheck("var");
|
||
this.appendValueInput('VAR2')
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("对象2")
|
||
.setCheck("var");
|
||
this.appendValueInput("threshold")
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("相似度")
|
||
.setCheck(Number);
|
||
this.appendDummyInput()
|
||
.setAlign(Blockly.inputs.Align.RIGHT)
|
||
.appendField("返回[kptmatch]");
|
||
this.setOutput(true);
|
||
this.setInputsInline(false);
|
||
this.setTooltip("使用特征识别，返回image.keypoints对象列表");
|
||
}
|
||
};
|
||
|
||
|
||
//--颜色列表解析------------------------------------------//
|
||
|
||
|
||
export const image_kptmatch = {
|
||
init: function () {
|
||
this.setColour(IMAGE_HUE);
|
||
this.appendDummyInput()
|
||
.appendField("特征信息");
|
||
this.appendValueInput('VAR')
|
||
.appendField("对象")
|
||
.setCheck("var");
|
||
this.appendDummyInput()
|
||
.appendField("获取")
|
||
.appendField(new Blockly.FieldDropdown([
|
||
["坐标-xywh", "rect"],
|
||
["x分量", "x"],
|
||
["y分量", "y"],
|
||
["w分量", "w"],
|
||
["h分量", "h"],
|
||
["中心-x", "cx"],
|
||
["中心-y", "cy"],
|
||
["匹配量", "count"],
|
||
["弧度", "theta"],
|
||
["匹配点-xy", "match"]
|
||
]), "key");
|
||
this.setOutput(true);
|
||
//this.setInputsInline(true);
|
||
this.setTooltip("通过image.kptmatch列表，获取追踪特征信息");
|
||
}
|
||
};
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|