Aruco Support for AprilTag Detection (Experimental) (#636)

Uses OpenCV's aruco module for AprilTag detection.
This commit is contained in:
Mohammad Durrani
2023-01-05 13:25:44 -05:00
committed by GitHub
parent b263fe19cc
commit 05198ef294
25 changed files with 1332 additions and 352 deletions

View File

@@ -153,7 +153,7 @@
v-model="currentPipelineType"
name="Type"
tooltip="Changes the pipeline type, which changes the type of processing that will happen on input frames"
:list="['Reflective Tape', 'Colored Shape', 'AprilTag']"
:list="['Reflective Tape', 'Colored Shape', 'AprilTag', 'Aruco']"
@input="e => showTypeDialog(e)"
/>
</v-col>

View File

@@ -52,7 +52,7 @@ export default new Vuex.Store({
isFovConfigurable: true,
calibrated: false,
currentPipelineSettings: {
pipelineType: 4, // One of "calib", "driver", "reflective", "shape", "AprilTag"
pipelineType: 5, // One of "calib", "driver", "reflective", "shape", "AprilTag"
// 2 is reflective
// Settings that apply to all pipeline types
@@ -91,7 +91,7 @@ export default new Vuex.Store({
cornerDetectionAccuracyPercentage: 10,
// Settings that apply to AprilTag
tagFamily: 0,
tagFamily: 1,
decimate: 1.0,
blur: 0.0,
threads: 1,

View File

@@ -1,37 +1,37 @@
<template>
<div>
<v-container
class="pa-3"
fluid
class="pa-3"
fluid
>
<v-row
no-gutters
align="center"
justify="center"
no-gutters
align="center"
justify="center"
>
<v-col
cols="12"
:class="['pb-3 ', 'pr-lg-3']"
lg="8"
align-self="stretch"
cols="12"
:class="['pb-3 ', 'pr-lg-3']"
lg="8"
align-self="stretch"
>
<v-card
color="primary"
height="100%"
style="display: flex; flex-direction: column"
dark
color="primary"
height="100%"
style="display: flex; flex-direction: column"
dark
>
<v-card-title
class="pb-0 mb-0 pl-4 pt-1"
style="height: 15%; min-height: 50px;"
class="pb-0 mb-0 pl-4 pt-1"
style="height: 15%; min-height: 50px;"
>
Cameras
<v-chip
:class="fpsTooLow ? 'ml-2 mt-1' : 'mt-2'"
x-small
label
:color="fpsTooLow ? 'error' : 'transparent'"
:text-color="fpsTooLow ? 'white' : 'grey'"
:class="fpsTooLow ? 'ml-2 mt-1' : 'mt-2'"
x-small
label
:color="fpsTooLow ? 'error' : 'transparent'"
:text-color="fpsTooLow ? 'white' : 'grey'"
>
<span class="pr-1">Processing @ {{ Math.round($store.state.pipelineResults.fps) }}&nbsp;FPS &ndash;</span>
<span v-if="fpsTooLow && !$store.getters.currentPipelineSettings.inputShouldShow && $store.getters.pipelineType == 2">HSV thresholds are too broad; narrow them for better performance</span>
@@ -39,37 +39,37 @@
<span v-else>{{ Math.min(Math.round($store.state.pipelineResults.latency), 9999) }} ms latency</span>
</v-chip>
<v-switch
v-model="driverMode"
label="Driver Mode"
style="margin-left: auto;"
color="accent"
v-model="driverMode"
label="Driver Mode"
style="margin-left: auto;"
color="accent"
/>
</v-card-title>
<v-row
align="center"
align="center"
>
<v-col
v-for="idx in (selectedOutputs instanceof Array ? selectedOutputs : [selectedOutputs])"
:key="idx"
cols="12"
:md="selectedOutputs.length === 1 ? 12 : Math.floor(12 / selectedOutputs.length)"
class="pb-0 pt-0"
style="height: 100%;"
v-for="idx in (selectedOutputs instanceof Array ? selectedOutputs : [selectedOutputs])"
:key="idx"
cols="12"
:md="selectedOutputs.length === 1 ? 12 : Math.floor(12 / selectedOutputs.length)"
class="pb-0 pt-0"
style="height: 100%;"
>
<div style="position: relative; width: 100%; height: 100%;">
<cv-image
:id="idx === 0 ? 'raw-stream' : 'processed-stream'"
ref="streams"
:idx=idx
:disconnected="!$store.state.backendConnected"
scale="100"
:max-height="$store.getters.isDriverMode ? '40vh' : '300px'"
:max-height-md="$store.getters.isDriverMode ? '50vh' : '380px'"
:max-height-lg="$store.getters.isDriverMode ? '55vh' : '390px'"
:max-height-xl="$store.getters.isDriverMode ? '60vh' : '450px'"
:alt="'Stream ' + idx"
:color-picking="$store.state.colorPicking && idx === 0"
@click="onImageClick"
:id="idx === 0 ? 'raw-stream' : 'processed-stream'"
ref="streams"
:idx=idx
:disconnected="!$store.state.backendConnected"
scale="100"
:max-height="$store.getters.isDriverMode ? '40vh' : '300px'"
:max-height-md="$store.getters.isDriverMode ? '50vh' : '380px'"
:max-height-lg="$store.getters.isDriverMode ? '55vh' : '390px'"
:max-height-xl="$store.getters.isDriverMode ? '60vh' : '450px'"
:alt="'Stream ' + idx"
:color-picking="$store.state.colorPicking && idx === 0"
@click="onImageClick"
/>
</div>
</v-col>
@@ -77,44 +77,44 @@
</v-card>
</v-col>
<v-col
cols="12"
class="pb-3"
lg="4"
align-self="stretch"
cols="12"
class="pb-3"
lg="4"
align-self="stretch"
>
<v-card
color="primary"
color="primary"
>
<camera-and-pipeline-select />
</v-card>
<v-card
:disabled="$store.getters.isDriverMode || $store.state.colorPicking"
class="mt-3"
color="primary"
:disabled="$store.getters.isDriverMode || $store.state.colorPicking"
class="mt-3"
color="primary"
>
<v-row
align="center"
class="pl-3 pr-3"
align="center"
class="pl-3 pr-3"
>
<v-col lg="12">
<p style="color: white;">
Processing mode:
</p>
<v-btn-toggle
v-model="processingMode"
mandatory
dark
class="fill"
v-model="processingMode"
mandatory
dark
class="fill"
>
<v-btn
color="secondary"
color="secondary"
>
<v-icon>mdi-crop-square</v-icon>
<span>2D</span>
</v-btn>
<v-btn
color="secondary"
@click="on3DClick"
color="secondary"
@click="on3DClick"
>
<v-icon>mdi-cube-outline</v-icon>
<span>3D</span>
@@ -126,22 +126,22 @@
Stream display:
</p>
<v-btn-toggle
v-model="selectedOutputs"
:multiple="$vuetify.breakpoint.mdAndUp"
mandatory
dark
class="fill"
v-model="selectedOutputs"
:multiple="$vuetify.breakpoint.mdAndUp"
mandatory
dark
class="fill"
>
<v-btn
color="secondary"
class="fill"
color="secondary"
class="fill"
>
<v-icon>mdi-import</v-icon>
<span>Raw</span>
</v-btn>
<v-btn
color="secondary"
class="fill"
color="secondary"
class="fill"
>
<v-icon>mdi-export</v-icon>
<span>Processed</span>
@@ -154,29 +154,29 @@
</v-row>
<v-row no-gutters>
<v-col
v-for="(tabs, idx) in tabGroups"
:key="idx"
:cols="Math.floor(12 / tabGroups.length)"
:class="idx !== tabGroups.length - 1 ? 'pr-3' : ''"
align-self="stretch"
v-for="(tabs, idx) in tabGroups"
:key="idx"
:cols="Math.floor(12 / tabGroups.length)"
:class="idx !== tabGroups.length - 1 ? 'pr-3' : ''"
align-self="stretch"
>
<v-card
color="primary"
height="100%"
class="pr-4 pl-4"
color="primary"
height="100%"
class="pr-4 pl-4"
>
<v-tabs
v-if="!$store.getters.isDriverMode"
v-model="selectedTabs[idx]"
grow
background-color="primary"
dark
height="48"
slider-color="accent"
v-if="!$store.getters.isDriverMode"
v-model="selectedTabs[idx]"
grow
background-color="primary"
dark
height="48"
slider-color="accent"
>
<v-tab
v-for="(tab, i) in tabs"
:key="i"
v-for="(tab, i) in tabs"
:key="i"
>
{{ tab.name }}
</v-tab>
@@ -184,10 +184,10 @@
<div class="pl-4 pr-4 pt-2">
<keep-alive>
<component
:is="(tabs[selectedTabs[idx]] || tabs[0]).component"
:ref="(tabs[selectedTabs[idx]] || tabs[0]).name"
v-model="$store.getters.pipeline"
@update="$emit('save')"
:is="(tabs[selectedTabs[idx]] || tabs[0]).component"
:ref="(tabs[selectedTabs[idx]] || tabs[0]).name"
v-model="$store.getters.pipeline"
@update="$emit('save')"
/>
</keep-alive>
</div>
@@ -197,18 +197,18 @@
</v-container>
<v-snackbar
v-model="showNTWarning"
color="error"
timeout="-1"
top
v-model="showNTWarning"
color="error"
timeout="-1"
top
>
{{ $store.state.settings.networkSettings.runNTServer ?
"NetworkTables server enabled! PhotonLib may not work." :
"NetworkTables not connected! Are you on a network with a robot?" }}
<template v-slot:action>
<v-btn
text
@click="hideNTWarning = true"
text
@click="hideNTWarning = true"
>
Hide
</v-btn>
@@ -216,12 +216,12 @@
</v-snackbar>
<v-dialog
v-model="dialog"
width="500"
v-model="dialog"
width="500"
>
<v-card
color="primary"
dark
color="primary"
dark
>
<v-card-title>
Current resolution not calibrated
@@ -230,9 +230,9 @@
<v-card-text>
Because the current resolution {{ this.$store.getters.currentVideoFormat.width }} x {{ this.$store.getters.currentVideoFormat.height }} is not yet calibrated, 3D mode cannot be enabled. Please
<a
href="/#/cameras"
class="white--text"
@click="$emit('switch-to-cameras')"
href="/#/cameras"
class="white--text"
@click="$emit('switch-to-cameras')"
> visit the Cameras tab</a> to calibrate this resolution. For now, SolvePNP will do nothing.
</v-card-text>
@@ -241,9 +241,9 @@
<v-card-actions>
<v-spacer />
<v-btn
color="white"
text
@click="closeUncalibratedDialog"
color="white"
text
@click="closeUncalibratedDialog"
>
OK
</v-btn>
@@ -264,252 +264,260 @@ import TargetsTab from "./PipelineViews/TargetsTab";
import Map3DTab from './PipelineViews/Map3DTab';
import PnPTab from './PipelineViews/PnPTab';
import AprilTagTab from './PipelineViews/AprilTagTab';
import ArucoTab from './PipelineViews/ArucoTab';
export default {
name: 'Pipeline',
components: {
CameraAndPipelineSelect,
cvImage,
InputTab,
ThresholdTab,
ContoursTab,
OutputTab,
TargetsTab,
Map3DTab,
PnPTab,
AprilTagTab,
},
data() {
return {
selectedTabsData: [0, 0, 0, 0],
counterData: 0,
dialog: false,
processingModeOverride: false,
hideNTWarning: false,
}
},
computed: {
selectedTabs: {
get() {
return this.$store.getters.isDriverMode ? [0] : this.selectedTabsData;
},
set(value) {
this.selectedTabsData = value;
}
},
tabGroups: {
get() {
let tabs = {
input: {
name: "Input",
component: "InputTab",
},
threshold: {
name: "Threshold",
component: "ThresholdTab",
},
contours: {
name: "Contours",
component: "ContoursTab",
},
apriltag: {
name: "AprilTag",
component: "AprilTagTab",
},
output: {
name: "Output",
component: "OutputTab",
},
targets: {
name: "Targets",
component: "TargetsTab",
},
pnp: {
name: "PnP",
component: "PnPTab",
},
map3d: {
name: "3D",
component: "Map3DTab",
}
};
// If not in 3d, name "3D" is illegal
const allow3d = this.$store.getters.currentPipelineSettings.solvePNPEnabled;
// If in apriltag, "Threshold" and "Contours" are illegal -- otherwise "AprilTag" is
const isAprilTag = (this.$store.getters.currentPipelineSettings.pipelineType - 2) === 2;
// 2D array of tab names and component names; each sub-array is a separate tab group
let ret = [];
if (this.$vuetify.breakpoint.smAndDown || this.$store.getters.isDriverMode || (this.$vuetify.breakpoint.mdAndDown && !this.$store.state.compactMode)) {
// One big tab group with all the tabs
ret[0] = Object.values(tabs);
} else if (this.$vuetify.breakpoint.mdAndDown || !this.$store.state.compactMode) {
// Two tab groups, one with "input, threshold, contours, output" and the other with "target info, 3D"
ret[0] = [tabs.input, tabs.threshold, tabs.contours, tabs.apriltag, tabs.output];
ret[1] = [tabs.targets, tabs.pnp, tabs.map3d];
} else if (this.$vuetify.breakpoint.lgAndDown) {
// Three tab groups, one with "input", one with "threshold, contours, output", and the other with "target info, 3D"
ret[0] = [tabs.input];
ret[1] = [tabs.threshold, tabs.contours, tabs.apriltag, tabs.output];
ret[2] = [tabs.targets, tabs.pnp, tabs.map3d];
} else if (this.$vuetify.breakpoint.xl) {
// Three tab groups, one with "input", one with "threshold, contours", and the other with "output, target info, 3D"
ret[0] = [tabs.input];
ret[1] = [tabs.threshold];
ret[2] = [tabs.contours, tabs.apriltag, tabs.output];
ret[3] = [tabs.targets, tabs.pnp, tabs.map3d];
}
for(let i = 0; i < ret.length; i++) {
const group = ret[i];
// All the tabs we allow
const filteredGroup = group.filter(it =>
!(!allow3d && it.name === "3D") //Filter out 3D tab any time 3D isn't calibrated
&& !((!allow3d || isAprilTag) && it.name === "PnP") //Filter out the PnP config tab if 3D isn't available, or we're doing Apriltags
&& !(isAprilTag && (it.name === "Threshold")) //Filter out threshold tab if we're doing apriltags
&& !(isAprilTag && (it.name === "Contours")) //Filter out contours if we're doing Apriltag
&& !(!isAprilTag && it.name === "AprilTag") //Filter out apriltag unless we actually are doing Apriltags
);
ret[i] = filteredGroup;
}
// One last filter to remove empty lists
return ret.filter(it => it !== undefined && it.length > 0);
}
},
processingMode: {
get() {
return (this.$store.getters.currentPipelineSettings.solvePNPEnabled || this.processingModeOverride) ? 1 : 0;
},
set(value) {
if (this.$store.getters.isCalibrated) {
this.$store.getters.currentPipelineSettings.solvePNPEnabled = value === 1;
this.handlePipelineUpdate("solvePNPEnabled", value === 1);
}
}
},
driverMode: {
get() {
return this.$store.getters.isDriverMode;
},
set(value) {
this.$store.getters.currentCameraSettings.currentPipelineIndex = value ? -1 : 0;
this.handleInputWithIndex('currentPipeline', value ? -1 : 0);
}
},
selectedOutputs: {
// All this logic exists to deal with the reality that the output select buttons sometimes need an array and sometimes need a number (depending on whether or not they're exclusive)
get() {
// We switch the selector to single-select only on sm-and-down size devices, so we have to return a Number instead of an Array in that state
let ret = [];
if (this.$store.state.colorPicking) {
ret = [0]; // We want the input stream only while color picking
} else if (this.$store.getters.isDriverMode) {
ret = [1]; // We want only the output stream in driver mode
} else {
if (this.$store.getters.currentPipelineSettings.inputShouldShow) ret = ret.concat([0]);
if (this.$store.getters.currentPipelineSettings.outputShouldShow) ret = ret.concat([1]);
if (!ret.length) ret = [0];
}
if (this.$vuetify.breakpoint.mdAndUp) {
return ret;
} else {
return ret[0] || 0;
}
},
set(value) {
let valToCommit = [0];
if (value instanceof Array) {
// Value is already an array, we don't need to do anything
valToCommit = value;
} else if (value) {
// Value is assumed to be a number, so we wrap it into an array
valToCommit = [value];
}
this.$store.commit("mutatePipeline", {"inputShouldShow": valToCommit.includes(0)});
this.$store.commit("mutatePipeline", {"outputShouldShow": valToCommit.includes(1)});
this.handlePipelineUpdate("inputShouldShow", valToCommit.includes(0));
}
},
fpsTooLow: {
get() {
// For now we only show the FPS is too low warning when GPU acceleration is enabled, because we don't really trust the presented video modes otherwise
return this.$store.state.pipelineResults.fps - this.$store.getters.currentVideoFormat.fps < -5 && this.$store.state.pipelineResults.fps !== 0 && !this.$store.getters.isDriverMode && this.$store.state.settings.general.gpuAcceleration;
}
},
latency: {
get() {
return this.$store.getters.currentPipelineResults.latency;
}
},
isCalibrated: {
get() {
const resolution = this.$store.getters.videoFormatList[this.$store.getters.currentPipelineSettings.cameraVideoModeIndex];
return this.$store.getters.currentCameraSettings.calibrations
.some(e => e.width === resolution.width && e.height === resolution.height)
}
},
isRobotConnected: {
get() {
// return this.$store.state.ntConnectionInfo.connected && this.$store.state.backendConnected;
return true;
}
},
showNTWarning: {
get() {
return (!this.$store.state.ntConnectionInfo.connected || this.$store.state.settings.networkSettings.runNTServer) && this.$store.state.settings.networkSettings.teamNumber > 0 && this.$store.state.backendConnected && !this.hideNTWarning;
}
},
},
created() {
this.$store.state.connectedCallbacks.push(this.reloadStreams)
},
methods: {
reloadStreams() {
// Reload the streams as we technically close and reopen them
this.$refs.streams.forEach(it => it.reload())
},
onImageClick(event) {
// Only run on the input stream
if (event.target.alt !== "Stream0") return;
// Get a reference to the threshold tab (if it is shown) and call its "onClick" method
let ref = this.$refs["Threshold"];
if (ref && ref[0])
ref[0].onClick(event)
},
on3DClick() {
if (!this.$store.getters.isCalibrated) {
this.dialog = true;
this.processingModeOverride = true;
}
},
closeUncalibratedDialog() {
this.dialog = false;
this.processingModeOverride = false;
// this.$store.getters.currentPipelineSettings.solvePNPEnabled = false;
this.handlePipelineUpdate("solvePNPEnabled", false);
}
name: 'Pipeline',
components: {
CameraAndPipelineSelect,
cvImage,
InputTab,
ThresholdTab,
ContoursTab,
OutputTab,
TargetsTab,
Map3DTab,
PnPTab,
AprilTagTab,
ArucoTab,
},
data() {
return {
selectedTabsData: [0, 0, 0, 0],
counterData: 0,
dialog: false,
processingModeOverride: false,
hideNTWarning: false,
}
},
computed: {
selectedTabs: {
get() {
return this.$store.getters.isDriverMode ? [0] : this.selectedTabsData;
},
set(value) {
this.selectedTabsData = value;
}
},
tabGroups: {
get() {
let tabs = {
input: {
name: "Input",
component: "InputTab",
},
threshold: {
name: "Threshold",
component: "ThresholdTab",
},
contours: {
name: "Contours",
component: "ContoursTab",
},
apriltag: {
name: "AprilTag",
component: "AprilTagTab",
},
aruco: {
name: "Aruco",
component: "ArucoTab",
},
output: {
name: "Output",
component: "OutputTab",
},
targets: {
name: "Targets",
component: "TargetsTab",
},
pnp: {
name: "PnP",
component: "PnPTab",
},
map3d: {
name: "3D",
component: "Map3DTab",
}
};
// If not in 3d, name "3D" is illegal
const allow3d = this.$store.getters.currentPipelineSettings.solvePNPEnabled;
// If in apriltag, "Threshold" and "Contours" are illegal -- otherwise "AprilTag" is
const isAprilTag = (this.$store.getters.currentPipelineSettings.pipelineType - 2) === 2;
const isAruco = (this.$store.getters.currentPipelineSettings.pipelineType - 2) === 3;
// 2D array of tab names and component names; each sub-array is a separate tab group
let ret = [];
if (this.$vuetify.breakpoint.smAndDown || this.$store.getters.isDriverMode || (this.$vuetify.breakpoint.mdAndDown && !this.$store.state.compactMode)) {
// One big tab group with all the tabs
ret[0] = Object.values(tabs);
} else if (this.$vuetify.breakpoint.mdAndDown || !this.$store.state.compactMode) {
// Two tab groups, one with "input, threshold, contours, output" and the other with "target info, 3D"
ret[0] = [tabs.input, tabs.threshold, tabs.contours, tabs.apriltag, tabs.aruco, tabs.output];
ret[1] = [tabs.targets, tabs.pnp, tabs.map3d];
} else if (this.$vuetify.breakpoint.lgAndDown) {
// Three tab groups, one with "input", one with "threshold, contours, output", and the other with "target info, 3D"
ret[0] = [tabs.input];
ret[1] = [tabs.threshold, tabs.contours, tabs.apriltag,tabs.aruco, tabs.output];
ret[2] = [tabs.targets, tabs.pnp, tabs.map3d];
} else if (this.$vuetify.breakpoint.xl) {
// Three tab groups, one with "input", one with "threshold, contours", and the other with "output, target info, 3D"
ret[0] = [tabs.input];
ret[1] = [tabs.threshold];
ret[2] = [tabs.contours, tabs.apriltag, tabs.aruco,tabs.output];
ret[3] = [tabs.targets, tabs.pnp, tabs.map3d];
}
for(let i = 0; i < ret.length; i++) {
const group = ret[i];
// All the tabs we allow
const filteredGroup = group.filter(it =>
!(!allow3d && it.name === "3D") //Filter out 3D tab any time 3D isn't calibrated
&& !((!allow3d || isAprilTag || isAruco) && it.name === "PnP") //Filter out the PnP config tab if 3D isn't available, or we're doing Apriltags
&& !((isAprilTag || isAruco) && (it.name === "Threshold")) //Filter out threshold tab if we're doing apriltags
&& !((isAprilTag || isAruco)&& (it.name === "Contours")) //Filter out contours if we're doing Apriltag
&& !(!isAprilTag && it.name === "AprilTag") //Filter out apriltag unless we actually are doing Apriltags
&& !(!isAruco && it.name === "Aruco")
);
ret[i] = filteredGroup;
}
// One last filter to remove empty lists
return ret.filter(it => it !== undefined && it.length > 0);
}
},
processingMode: {
get() {
return (this.$store.getters.currentPipelineSettings.solvePNPEnabled || this.processingModeOverride) ? 1 : 0;
},
set(value) {
if (this.$store.getters.isCalibrated) {
this.$store.getters.currentPipelineSettings.solvePNPEnabled = value === 1;
this.handlePipelineUpdate("solvePNPEnabled", value === 1);
}
}
},
driverMode: {
get() {
return this.$store.getters.isDriverMode;
},
set(value) {
this.$store.getters.currentCameraSettings.currentPipelineIndex = value ? -1 : 0;
this.handleInputWithIndex('currentPipeline', value ? -1 : 0);
}
},
selectedOutputs: {
// All this logic exists to deal with the reality that the output select buttons sometimes need an array and sometimes need a number (depending on whether or not they're exclusive)
get() {
// We switch the selector to single-select only on sm-and-down size devices, so we have to return a Number instead of an Array in that state
let ret = [];
if (this.$store.state.colorPicking) {
ret = [0]; // We want the input stream only while color picking
} else if (this.$store.getters.isDriverMode) {
ret = [1]; // We want only the output stream in driver mode
} else {
if (this.$store.getters.currentPipelineSettings.inputShouldShow) ret = ret.concat([0]);
if (this.$store.getters.currentPipelineSettings.outputShouldShow) ret = ret.concat([1]);
if (!ret.length) ret = [0];
}
if (this.$vuetify.breakpoint.mdAndUp) {
return ret;
} else {
return ret[0] || 0;
}
},
set(value) {
let valToCommit = [0];
if (value instanceof Array) {
// Value is already an array, we don't need to do anything
valToCommit = value;
} else if (value) {
// Value is assumed to be a number, so we wrap it into an array
valToCommit = [value];
}
this.$store.commit("mutatePipeline", {"inputShouldShow": valToCommit.includes(0)});
this.$store.commit("mutatePipeline", {"outputShouldShow": valToCommit.includes(1)});
this.handlePipelineUpdate("inputShouldShow", valToCommit.includes(0));
}
},
fpsTooLow: {
get() {
// For now we only show the FPS is too low warning when GPU acceleration is enabled, because we don't really trust the presented video modes otherwise
return this.$store.state.pipelineResults.fps - this.$store.getters.currentVideoFormat.fps < -5 && this.$store.state.pipelineResults.fps !== 0 && !this.$store.getters.isDriverMode && this.$store.state.settings.general.gpuAcceleration;
}
},
latency: {
get() {
return this.$store.getters.currentPipelineResults.latency;
}
},
isCalibrated: {
get() {
const resolution = this.$store.getters.videoFormatList[this.$store.getters.currentPipelineSettings.cameraVideoModeIndex];
return this.$store.getters.currentCameraSettings.calibrations
.some(e => e.width === resolution.width && e.height === resolution.height)
}
},
isRobotConnected: {
get() {
// return this.$store.state.ntConnectionInfo.connected && this.$store.state.backendConnected;
return true;
}
},
showNTWarning: {
get() {
return (!this.$store.state.ntConnectionInfo.connected || this.$store.state.settings.networkSettings.runNTServer) && this.$store.state.settings.networkSettings.teamNumber > 0 && this.$store.state.backendConnected && !this.hideNTWarning;
}
},
},
created() {
this.$store.state.connectedCallbacks.push(this.reloadStreams)
},
methods: {
reloadStreams() {
// Reload the streams as we technically close and reopen them
this.$refs.streams.forEach(it => it.reload())
},
onImageClick(event) {
// Only run on the input stream
if (event.target.alt !== "Stream0") return;
// Get a reference to the threshold tab (if it is shown) and call its "onClick" method
let ref = this.$refs["Threshold"];
if (ref && ref[0])
ref[0].onClick(event)
},
on3DClick() {
if (!this.$store.getters.isCalibrated) {
this.dialog = true;
this.processingModeOverride = true;
}
},
closeUncalibratedDialog() {
this.dialog = false;
this.processingModeOverride = false;
// this.$store.getters.currentPipelineSettings.solvePNPEnabled = false;
this.handlePipelineUpdate("solvePNPEnabled", false);
}
}
}
</script>
<style scoped>
.v-btn-toggle.fill {
width: 100%;
height: 100%;
width: 100%;
height: 100%;
}
.v-btn-toggle.fill > .v-btn {
width: 50%;
height: 100%;
width: 50%;
height: 100%;
}
th {
width: 80px;
text-align: center;
width: 80px;
text-align: center;
}
</style>

View File

@@ -0,0 +1,76 @@
<template>
<div>
<CVslider
v-model="decimate"
class="pt-2"
slider-cols="8"
name="Decimate"
min="1"
max="8"
step=".5"
tooltip="Increases FPS at the expense of range by reducing image resolution initially"
@input="handlePipelineData('decimate')"
/>
<CVslider
v-model="numIterations"
class="pt-2"
slider-cols="8"
name="Corner Iterations"
min="30"
max="1000"
step="5"
tooltip="How many iterations are going to be used in order to refine corners. Higher values are lead to more accuracy at the cost of performance"
@input="handlePipelineData('numIterations')"
/>
<CVslider
v-model="cornerAccuracy"
class="pt-2"
slider-cols="8"
name="Corner Accuracy"
min=".01"
max="100"
step=".01"
tooltip="Minimum accuracy for the corners, lower is better but more performance intensive "
@input="handlePipelineData('cornerAccuracy')"
/>
</div>
</template>
<script>
import CVslider from '../../components/common/cv-slider'
export default {
name: "Aruco",
components: {
CVslider
},
computed: {
decimate: {
get() {
return this.$store.getters.currentPipelineSettings.decimate
},
set(val) {
this.$store.commit("mutatePipeline", {"decimate": val});
},
},
numIterations: {
get() {
return this.$store.getters.currentPipelineSettings.numIterations
},
set(val) {
this.$store.commit("mutatePipeline", {"numIterations": val});
},
},
cornerAccuracy: {
get() {
return this.$store.getters.currentPipelineSettings.cornerAccuracy
},
set(val) {
this.$store.commit("mutatePipeline", {"cornerAccuracy": val});
},
},
},
methods: {
}
}
</script>

View File

@@ -19,7 +19,7 @@
Target
</th>
<th
v-if="$store.getters.pipelineType === 4"
v-if="$store.getters.pipelineType === 4 || (($store.getters.pipelineType - 2) === 3)"
class="text-center"
>
Fiducial ID
@@ -62,7 +62,7 @@
:key="index"
>
<td>{{ index }}</td>
<td v-if="$store.getters.pipelineType === 4">
<td v-if="$store.getters.pipelineType === 4 || (($store.getters.pipelineType - 2) === 3)">
{{ parseInt(value.fiducialId) }}
</td>
<template v-if="!$store.getters.currentPipelineSettings.solvePNPEnabled">

View File

@@ -197,6 +197,7 @@ public class TestUtils {
public enum ApriltagTestImages {
kRobots,
kTag1_640_480,
kTag1_16h5_1280,
kTag_corner_1280;
public final Path path;
@@ -204,7 +205,9 @@ public class TestUtils {
Path getPath() {
// Strip leading k
var filename = this.toString().substring(1).toLowerCase();
return Path.of("apriltag", filename + ".jpg");
var extension = ".jpg";
if (filename.equals("tag1_16h5_1280")) extension = ".png";
return Path.of("apriltag", filename + extension);
}
ApriltagTestImages() {

View File

@@ -172,6 +172,17 @@ public class MathUtils {
private static final Rotation3d WPILIB_BASE_ROTATION =
new Rotation3d(new MatBuilder<>(Nat.N3(), Nat.N3()).fill(0, 1, 0, 0, 0, 1, 1, 0, 0));
public static Transform3d convertOpenCVtoPhotonTransform(Transform3d cameraToTarget3d) {
// TODO: Refactor into new pipe?
// CameraToTarget _should_ be in opencv-land EDN
var nwu =
CoordinateSystem.convert(
new Pose3d().transformBy(cameraToTarget3d),
CoordinateSystem.EDN(),
CoordinateSystem.NWU());
return new Transform3d(nwu.getTranslation(), WPILIB_BASE_ROTATION.rotateBy(nwu.getRotation()));
}
public static Pose3d convertOpenCVtoPhotonPose(Transform3d cameraToTarget3d) {
// TODO: Refactor into new pipe?
// CameraToTarget _should_ be in opencv-land EDN
@@ -208,6 +219,14 @@ public class MathUtils {
return new Transform3d(pose.getTranslation(), ocvRotation);
}
public static Pose3d convertArucotoOpenCV(Transform3d pose) {
var ocvRotation =
APRILTAG_BASE_ROTATION.rotateBy(
new Rotation3d(VecBuilder.fill(0, 0, 1), Units.degreesToRadians(180))
.rotateBy(pose.getRotation()));
return new Pose3d(pose.getTranslation(), ocvRotation);
}
public static void rotationToOpencvRvec(Rotation3d rotation, Mat rvecOutput) {
var angle = rotation.getAngle();
var axis = rotation.getAxis().times(angle);

View File

@@ -0,0 +1,83 @@
/*
* Copyright (C) Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package org.photonvision.vision.aruco;
import java.util.Arrays;
import org.photonvision.common.logging.LogGroup;
import org.photonvision.common.logging.Logger;
public class ArucoDetectionResult {
private static final Logger logger =
new Logger(ArucoDetectionResult.class, LogGroup.VisionModule);
double[] xCorners;
double[] yCorners;
int id;
double[] tvec, rvec;
public ArucoDetectionResult(
double[] xCorners, double[] yCorners, int id, double[] tvec, double[] rvec) {
this.xCorners = xCorners;
this.yCorners = yCorners;
this.id = id;
this.tvec = tvec;
this.rvec = rvec;
// logger.debug("Creating a new detection result: " + this.toString());
}
public double[] getTvec() {
return tvec;
}
public double[] getRvec() {
return rvec;
}
public double[] getxCorners() {
return xCorners;
}
public double[] getyCorners() {
return yCorners;
}
public int getId() {
return id;
}
public double getCenterX() {
return (xCorners[0] + xCorners[1] + xCorners[2] + xCorners[3]) * .25;
}
public double getCenterY() {
return (yCorners[0] + yCorners[1] + yCorners[2] + yCorners[3]) * .25;
}
@Override
public String toString() {
return "ArucoDetectionResult{"
+ "xCorners="
+ Arrays.toString(xCorners)
+ ", yCorners="
+ Arrays.toString(yCorners)
+ ", id="
+ id
+ '}';
}
}

View File

@@ -0,0 +1,76 @@
/*
* Copyright (C) Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package org.photonvision.vision.aruco;
import org.opencv.aruco.Aruco;
import org.opencv.aruco.ArucoDetector;
import org.opencv.aruco.DetectorParameters;
import org.opencv.aruco.Dictionary;
import org.photonvision.common.logging.LogGroup;
import org.photonvision.common.logging.Logger;
public class ArucoDetectorParams {
private static final Logger logger = new Logger(PhotonArucoDetector.class, LogGroup.VisionModule);
private float m_decimate = -1;
private int m_iterations = -1;
private double m_accuracy = -1;
DetectorParameters parameters = DetectorParameters.create();
ArucoDetector detector;
public ArucoDetectorParams() {
setDecimation(1);
setCornerAccuracy(25);
setCornerRefinementMaxIterations(100);
detector = new ArucoDetector(Dictionary.get(Aruco.DICT_APRILTAG_16h5), parameters);
}
public void setDecimation(float decimate) {
if (decimate == m_decimate) return;
logger.info("Setting decimation from " + m_decimate + " to " + decimate);
// We only need to mutate the parameters -- the detector keeps a poitner to the parameters
// object internally, so it should automatically update
parameters.set_aprilTagQuadDecimate((float) decimate);
m_decimate = decimate;
}
public void setCornerRefinementMaxIterations(int iters) {
if (iters == m_iterations || iters <= 0) return;
parameters.set_cornerRefinementMethod(Aruco.CORNER_REFINE_SUBPIX);
parameters.set_cornerRefinementMaxIterations(iters); // 200
m_iterations = iters;
}
public void setCornerAccuracy(double accuracy) {
if (accuracy == m_accuracy || accuracy <= 0) return;
parameters.set_cornerRefinementMinAccuracy(
accuracy / 1000.0); // divides by 1000 because the UI multiplies it by 1000
m_accuracy = accuracy;
}
public ArucoDetector getDetector() {
return detector;
}
}

View File

@@ -0,0 +1,132 @@
/*
* Copyright (C) Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package org.photonvision.vision.aruco;
import edu.wpi.first.math.VecBuilder;
import edu.wpi.first.math.geometry.Pose3d;
import edu.wpi.first.math.geometry.Rotation3d;
import edu.wpi.first.math.geometry.Translation3d;
import edu.wpi.first.math.util.Units;
import java.util.ArrayList;
import org.opencv.aruco.Aruco;
import org.opencv.aruco.ArucoDetector;
import org.opencv.core.Mat;
import org.photonvision.common.logging.LogGroup;
import org.photonvision.common.logging.Logger;
import org.photonvision.vision.calibration.CameraCalibrationCoefficients;
public class PhotonArucoDetector {
private static final Logger logger = new Logger(PhotonArucoDetector.class, LogGroup.VisionModule);
private static final Rotation3d ARUCO_BASE_ROTATION =
new Rotation3d(VecBuilder.fill(0, 0, 1), Units.degreesToRadians(180));
Mat ids;
Mat tvecs;
Mat rvecs;
ArrayList<Mat> corners;
Mat cornerMat;
Translation3d translation;
Rotation3d rotation;
double timeStartDetect;
double timeEndDetect;
Pose3d tagPose;
double timeStartProcess;
double timeEndProcess;
double[] xCorners = new double[4];
double[] yCorners = new double[4];
public PhotonArucoDetector() {
logger.debug("New Aruco Detector");
ids = new Mat();
tvecs = new Mat();
rvecs = new Mat();
corners = new ArrayList<Mat>();
tagPose = new Pose3d();
translation = new Translation3d();
rotation = new Rotation3d();
}
public ArucoDetectionResult[] detect(
Mat grayscaleImg,
float tagSize,
CameraCalibrationCoefficients coeffs,
ArucoDetector detector) {
detector.detectMarkers(grayscaleImg, corners, ids);
if (coeffs != null) {
Aruco.estimatePoseSingleMarkers(
corners,
tagSize,
coeffs.getCameraIntrinsicsMat(),
coeffs.getDistCoeffsMat(),
rvecs,
tvecs);
}
ArucoDetectionResult[] toReturn = new ArucoDetectionResult[corners.size()];
timeStartProcess = System.currentTimeMillis();
for (int i = 0; i < corners.size(); i++) {
cornerMat = corners.get(i);
// logger.debug(cornerMat.dump());
xCorners =
new double[] {
cornerMat.get(0, 0)[0],
cornerMat.get(0, 1)[0],
cornerMat.get(0, 2)[0],
cornerMat.get(0, 3)[0]
};
yCorners =
new double[] {
cornerMat.get(0, 0)[1],
cornerMat.get(0, 1)[1],
cornerMat.get(0, 2)[1],
cornerMat.get(0, 3)[1]
};
cornerMat.release();
double[] tvec;
double[] rvec;
if (coeffs != null) {
// Need to apply a 180 rotation about Z
var origRvec = rvecs.get(i, 0);
var axisangle = VecBuilder.fill(origRvec[0], origRvec[1], origRvec[2]);
Rotation3d rotation = new Rotation3d(axisangle, axisangle.normF());
var ocvRotation = ARUCO_BASE_ROTATION.rotateBy(rotation);
var angle = ocvRotation.getAngle();
var finalAxisAngle = ocvRotation.getAxis().times(angle);
tvec = tvecs.get(i, 0);
rvec = finalAxisAngle.getData();
} else {
tvec = new double[] {0, 0, 0};
rvec = new double[] {0, 0, 0};
}
toReturn[i] =
new ArucoDetectionResult(xCorners, yCorners, (int) ids.get(i, 0)[0], tvec, rvec);
}
rvecs.release();
tvecs.release();
ids.release();
return toReturn;
}
}

View File

@@ -0,0 +1,50 @@
/*
* Copyright (C) Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package org.photonvision.vision.pipe.impl;
import edu.wpi.first.math.util.Units;
import java.util.List;
import org.opencv.aruco.DetectorParameters;
import org.opencv.core.Mat;
import org.photonvision.vision.aruco.ArucoDetectionResult;
import org.photonvision.vision.aruco.PhotonArucoDetector;
import org.photonvision.vision.pipe.CVPipe;
public class ArucoDetectionPipe
extends CVPipe<Mat, List<ArucoDetectionResult>, ArucoDetectionPipeParams> {
PhotonArucoDetector detector = new PhotonArucoDetector();
@Override
protected List<ArucoDetectionResult> process(Mat in) {
return List.of(
detector.detect(
in,
(float) Units.inchesToMeters(6),
params.cameraCalibrationCoefficients,
params.detectorParams));
}
@Override
public void setParams(ArucoDetectionPipeParams params) {
super.setParams(params);
}
public DetectorParameters getParameters() {
return params == null ? null : params.detectorParams.get_params();
}
}

View File

@@ -0,0 +1,57 @@
/*
* Copyright (C) Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package org.photonvision.vision.pipe.impl;
import java.util.Objects;
import org.opencv.aruco.ArucoDetector;
import org.photonvision.vision.calibration.CameraCalibrationCoefficients;
public class ArucoDetectionPipeParams {
public ArucoDetector detectorParams;
public final CameraCalibrationCoefficients cameraCalibrationCoefficients;
public ArucoDetectionPipeParams(
ArucoDetector detector, CameraCalibrationCoefficients cameraCalibrationCoefficients) {
this.detectorParams = detector;
this.cameraCalibrationCoefficients = cameraCalibrationCoefficients;
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
ArucoDetectionPipeParams that = (ArucoDetectionPipeParams) o;
return Objects.equals(detectorParams, that.detectorParams)
&& Objects.equals(cameraCalibrationCoefficients, that.cameraCalibrationCoefficients);
}
@Override
public int hashCode() {
return Objects.hash(detectorParams, cameraCalibrationCoefficients);
}
@Override
public String toString() {
return "ArucoDetectionPipeParams{"
+ "detectorParams="
+ detectorParams
+ ", cameraCalibrationCoefficients="
+ cameraCalibrationCoefficients
+ '}';
}
}

View File

@@ -0,0 +1,34 @@
/*
* Copyright (C) Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package org.photonvision.vision.pipe.impl;
import java.awt.*;
import org.photonvision.vision.frame.FrameDivisor;
public class Draw2dArucoPipe extends Draw2dTargetsPipe {
public static class Draw2dArucoParams extends Draw2dTargetsPipe.Draw2dTargetsParams {
public Draw2dArucoParams(
boolean shouldDraw, boolean showMultipleTargets, FrameDivisor divisor) {
super(shouldDraw, showMultipleTargets, divisor);
// We want to show the polygon, not the rotated box
this.showRotatedBox = false;
this.showMaximumBox = false;
this.rotatedBoxColor = Color.RED;
}
}
}

View File

@@ -0,0 +1,35 @@
/*
* Copyright (C) Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package org.photonvision.vision.pipe.impl;
import org.photonvision.vision.calibration.CameraCalibrationCoefficients;
import org.photonvision.vision.frame.FrameDivisor;
import org.photonvision.vision.target.TargetModel;
public class Draw3dArucoPipe extends Draw3dTargetsPipe {
public static class Draw3dArucoParams extends Draw3dContoursParams {
public Draw3dArucoParams(
boolean shouldDraw,
CameraCalibrationCoefficients cameraCalibrationCoefficients,
TargetModel targetModel,
FrameDivisor divisor) {
super(shouldDraw, cameraCalibrationCoefficients, targetModel, divisor);
this.shouldDrawHull = false;
}
}
}

View File

@@ -0,0 +1,128 @@
/*
* Copyright (C) Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
/*
* Copyright (C) Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package org.photonvision.vision.pipeline;
import edu.wpi.first.math.geometry.Transform3d;
import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Mat;
import org.photonvision.vision.aruco.ArucoDetectionResult;
import org.photonvision.vision.aruco.ArucoDetectorParams;
import org.photonvision.vision.frame.Frame;
import org.photonvision.vision.frame.FrameThresholdType;
import org.photonvision.vision.pipe.CVPipe.CVPipeResult;
import org.photonvision.vision.pipe.impl.*;
import org.photonvision.vision.pipeline.result.CVPipelineResult;
import org.photonvision.vision.target.TrackedTarget;
import org.photonvision.vision.target.TrackedTarget.TargetCalculationParameters;
@SuppressWarnings("DuplicatedCode")
public class ArucoPipeline extends CVPipeline<CVPipelineResult, ArucoPipelineSettings> {
private final RotateImagePipe rotateImagePipe = new RotateImagePipe();
private final GrayscalePipe grayscalePipe = new GrayscalePipe();
private final ArucoDetectionPipe arucoDetectionPipe = new ArucoDetectionPipe();
private final CalculateFPSPipe calculateFPSPipe = new CalculateFPSPipe();
ArucoDetectorParams m_arucoDetectorParams = new ArucoDetectorParams();
public ArucoPipeline() {
super(FrameThresholdType.GREYSCALE);
settings = new ArucoPipelineSettings();
}
public ArucoPipeline(ArucoPipelineSettings settings) {
super(FrameThresholdType.GREYSCALE);
this.settings = settings;
}
@Override
protected void setPipeParamsImpl() {
// Sanitize thread count - not supported to have fewer than 1 threads
settings.threads = Math.max(1, settings.threads);
RotateImagePipe.RotateImageParams rotateImageParams =
new RotateImagePipe.RotateImageParams(settings.inputImageRotationMode);
rotateImagePipe.setParams(rotateImageParams);
m_arucoDetectorParams.setDecimation((float) settings.decimate);
m_arucoDetectorParams.setCornerRefinementMaxIterations(settings.numIterations);
m_arucoDetectorParams.setCornerAccuracy(settings.cornerAccuracy);
arucoDetectionPipe.setParams(
new ArucoDetectionPipeParams(
m_arucoDetectorParams.getDetector(), frameStaticProperties.cameraCalibration));
}
@Override
protected CVPipelineResult process(Frame frame, ArucoPipelineSettings settings) {
long sumPipeNanosElapsed = 0L;
Mat rawInputMat;
rawInputMat = frame.colorImage.getMat();
List<TrackedTarget> targetList;
CVPipeResult<List<ArucoDetectionResult>> tagDetectionPipeResult;
if (rawInputMat.empty()) {
return new CVPipelineResult(sumPipeNanosElapsed, 0, List.of(), frame);
}
tagDetectionPipeResult = arucoDetectionPipe.run(rawInputMat);
targetList = new ArrayList<>();
for (ArucoDetectionResult detection : tagDetectionPipeResult.output) {
// TODO this should be in a pipe, not in the top level here (Matt)
// populate the target list
// Challenge here is that TrackedTarget functions with OpenCV Contour
TrackedTarget target =
new TrackedTarget(
detection,
new TargetCalculationParameters(
false, null, null, null, null, frameStaticProperties));
var correctedBestPose = target.getBestCameraToTarget3d();
target.setBestCameraToTarget3d(
new Transform3d(correctedBestPose.getTranslation(), correctedBestPose.getRotation()));
targetList.add(target);
}
var fpsResult = calculateFPSPipe.run(null);
var fps = fpsResult.output;
return new CVPipelineResult(sumPipeNanosElapsed, fps, targetList, frame);
}
}

View File

@@ -0,0 +1,42 @@
/*
* Copyright (C) Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package org.photonvision.vision.pipeline;
import com.fasterxml.jackson.annotation.JsonTypeName;
import org.photonvision.vision.target.TargetModel;
@JsonTypeName("ArucoPipelineSettings")
public class ArucoPipelineSettings extends AdvancedPipelineSettings {
public double decimate = 1;
public int threads = 2;
public int numIterations = 100;
public double cornerAccuracy = 25.0;
public boolean useAruco3 = true;
// 3d settings
public ArucoPipelineSettings() {
super();
pipelineType = PipelineType.Aruco;
outputShowMultipleTargets = true;
targetModel = TargetModel.kAruco6in_16h5;
cameraExposure = -1;
cameraAutoExposure = true;
ledMode = false;
}
}

View File

@@ -31,7 +31,8 @@ import org.photonvision.vision.opencv.ImageRotationMode;
@JsonSubTypes.Type(value = ColoredShapePipelineSettings.class),
@JsonSubTypes.Type(value = ReflectivePipelineSettings.class),
@JsonSubTypes.Type(value = DriverModePipelineSettings.class),
@JsonSubTypes.Type(value = AprilTagPipelineSettings.class)
@JsonSubTypes.Type(value = AprilTagPipelineSettings.class),
@JsonSubTypes.Type(value = ArucoPipelineSettings.class)
})
public class CVPipelineSettings implements Cloneable {
public int pipelineIndex = 0;

View File

@@ -24,6 +24,7 @@ import org.photonvision.vision.frame.FrameStaticProperties;
import org.photonvision.vision.opencv.DualOffsetValues;
import org.photonvision.vision.pipe.impl.*;
import org.photonvision.vision.pipeline.result.CVPipelineResult;
import org.photonvision.vision.target.TargetModel;
import org.photonvision.vision.target.TrackedTarget;
/**
@@ -37,6 +38,9 @@ public class OutputStreamPipeline {
private final Draw3dTargetsPipe draw3dTargetsPipe = new Draw3dTargetsPipe();
private final Draw2dAprilTagsPipe draw2dAprilTagsPipe = new Draw2dAprilTagsPipe();
private final Draw3dAprilTagsPipe draw3dAprilTagsPipe = new Draw3dAprilTagsPipe();
private final Draw2dArucoPipe draw2dArucoPipe = new Draw2dArucoPipe();
private final Draw3dArucoPipe draw3dArucoPipe = new Draw3dArucoPipe();
private final CalculateFPSPipe calculateFPSPipe = new CalculateFPSPipe();
private final ResizeImagePipe resizeImagePipe = new ResizeImagePipe();
@@ -65,6 +69,13 @@ public class OutputStreamPipeline {
settings.streamingFrameDivisor);
draw2dAprilTagsPipe.setParams(draw2DAprilTagsParams);
var draw2DArucoParams =
new Draw2dArucoPipe.Draw2dArucoParams(
settings.outputShouldDraw,
settings.outputShowMultipleTargets,
settings.streamingFrameDivisor);
draw2dArucoPipe.setParams(draw2DArucoParams);
var draw2dCrosshairParams =
new Draw2dCrosshairPipe.Draw2dCrosshairParams(
settings.outputShouldDraw,
@@ -92,6 +103,14 @@ public class OutputStreamPipeline {
settings.streamingFrameDivisor);
draw3dAprilTagsPipe.setParams(draw3dAprilTagsParams);
var draw3dArucoParams =
new Draw3dArucoPipe.Draw3dArucoParams(
settings.outputShouldDraw,
frameStaticProperties.cameraCalibration,
TargetModel.k6in_16h5,
settings.streamingFrameDivisor);
draw3dArucoPipe.setParams(draw3dArucoParams);
resizeImagePipe.setParams(
new ResizeImagePipe.ResizeImageParams(settings.streamingFrameDivisor));
}
@@ -126,12 +145,12 @@ public class OutputStreamPipeline {
}
// Draw 2D Crosshair on output
var draw2dCrosshairResultOnInput = draw2dCrosshairPipe.run(Pair.of(outMat, targetsToDraw));
var draw2dCrosshairResultOnInput = draw2dCrosshairPipe.run(Pair.of(inMat, targetsToDraw));
sumPipeNanosElapsed += pipeProfileNanos[3] = draw2dCrosshairResultOnInput.nanosElapsed;
if (!(settings instanceof AprilTagPipelineSettings)) {
// If we're processing anything other than Apriltags...
if (!(settings instanceof AprilTagPipelineSettings)
&& !(settings instanceof ArucoPipelineSettings)) {
// If we're processing anything other than Apriltags..
var draw2dCrosshairResultOnOutput = draw2dCrosshairPipe.run(Pair.of(outMat, targetsToDraw));
sumPipeNanosElapsed += pipeProfileNanos[4] = draw2dCrosshairResultOnOutput.nanosElapsed;
@@ -154,7 +173,7 @@ public class OutputStreamPipeline {
pipeProfileNanos[8] = 0;
}
} else {
} else if (settings instanceof AprilTagPipelineSettings) {
// If we are doing apriltags...
if (settings.solvePNPEnabled) {
// Draw 3d Apriltag markers (camera is calibrated and running in 3d mode)
@@ -171,6 +190,26 @@ public class OutputStreamPipeline {
var draw2dTargetsOnInput = draw2dAprilTagsPipe.run(Pair.of(outMat, targetsToDraw));
sumPipeNanosElapsed += pipeProfileNanos[5] = draw2dTargetsOnInput.nanosElapsed;
pipeProfileNanos[6] = 0;
pipeProfileNanos[7] = 0;
pipeProfileNanos[8] = 0;
}
} else if (settings instanceof ArucoPipelineSettings) {
if (settings.solvePNPEnabled) {
// Draw 3d Apriltag markers (camera is calibrated and running in 3d mode)
pipeProfileNanos[5] = 0;
pipeProfileNanos[6] = 0;
var drawOnInputResult = draw3dArucoPipe.run(Pair.of(outMat, targetsToDraw));
sumPipeNanosElapsed += pipeProfileNanos[7] = drawOnInputResult.nanosElapsed;
pipeProfileNanos[8] = 0;
} else {
// Draw 2d apriltag markers
var draw2dTargetsOnInput = draw2dArucoPipe.run(Pair.of(outMat, targetsToDraw));
sumPipeNanosElapsed += pipeProfileNanos[5] = draw2dTargetsOnInput.nanosElapsed;
pipeProfileNanos[6] = 0;
pipeProfileNanos[7] = 0;
pipeProfileNanos[8] = 0;

View File

@@ -23,7 +23,8 @@ public enum PipelineType {
DriverMode(-1, DriverModePipeline.class),
Reflective(0, ReflectivePipeline.class),
ColoredShape(1, ColoredShapePipeline.class),
AprilTag(2, AprilTagPipeline.class);
AprilTag(2, AprilTagPipeline.class),
Aruco(3, ArucoPipeline.class);
public final int baseIndex;
public final Class clazz;

View File

@@ -21,6 +21,7 @@ import java.util.ArrayList;
import java.util.Arrays;
import java.util.Comparator;
import java.util.List;
import org.opencv.aruco.Aruco;
import org.photonvision.common.configuration.CameraConfiguration;
import org.photonvision.common.configuration.ConfigManager;
import org.photonvision.common.dataflow.DataChangeService;
@@ -205,6 +206,11 @@ public class PipelineManager {
currentUserPipeline =
new AprilTagPipeline((AprilTagPipelineSettings) desiredPipelineSettings);
break;
case Aruco:
logger.debug("Creating Aruco Pipeline");
currentUserPipeline = new ArucoPipeline((ArucoPipelineSettings) desiredPipelineSettings);
break;
default:
// Can be calib3d or drivermode, both of which are special cases
break;
@@ -300,6 +306,12 @@ public class PipelineManager {
added.pipelineNickname = nickname;
return added;
}
case Aruco:
{
var added = new ArucoPipelineSettings();
added.pipelineNickname = nickname;
return added;
}
default:
{
logger.error("Got invalid pipeline type: " + type.toString());

View File

@@ -109,6 +109,14 @@ public enum TargetModel implements Releasable {
new Point3(Units.inchesToMeters(3.25), -Units.inchesToMeters(3.25), 0),
new Point3(-Units.inchesToMeters(3.25), -Units.inchesToMeters(3.25), 0)),
Units.inchesToMeters(3.25 * 2)),
kAruco6in_16h5( // Nominal edge length of 200 mm includes the white border, but solvePNP corners
// do not
List.of(
new Point3(Units.inchesToMeters(3), Units.inchesToMeters(3), 0),
new Point3(Units.inchesToMeters(3), -Units.inchesToMeters(3), 0),
new Point3(-Units.inchesToMeters(3), -Units.inchesToMeters(3), 0),
new Point3(Units.inchesToMeters(3), -Units.inchesToMeters(3), 0)),
Units.inchesToMeters(3 * 2)),
k6in_16h5( // Nominal edge length of 200 mm includes the white border, but solvePNP corners
// do not
List.of(

View File

@@ -18,7 +18,10 @@ package org.photonvision.vision.target;
import edu.wpi.first.apriltag.AprilTagDetection;
import edu.wpi.first.apriltag.AprilTagPoseEstimate;
import edu.wpi.first.math.VecBuilder;
import edu.wpi.first.math.geometry.Rotation3d;
import edu.wpi.first.math.geometry.Transform3d;
import edu.wpi.first.math.geometry.Translation3d;
import java.util.HashMap;
import java.util.List;
import org.opencv.core.CvType;
@@ -28,6 +31,7 @@ import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Point;
import org.opencv.core.RotatedRect;
import org.photonvision.common.util.math.MathUtils;
import org.photonvision.vision.aruco.ArucoDetectionResult;
import org.photonvision.vision.frame.FrameStaticProperties;
import org.photonvision.vision.opencv.*;
@@ -135,6 +139,59 @@ public class TrackedTarget implements Releasable {
setCameraRelativeRvec(rvec);
}
public TrackedTarget(ArucoDetectionResult result, TargetCalculationParameters params) {
m_targetOffsetPoint = new Point(result.getCenterX(), result.getCenterY());
m_robotOffsetPoint = new Point();
m_pitch =
TargetCalculations.calculatePitch(
result.getCenterY(), params.cameraCenterPoint.y, params.verticalFocalLength);
m_yaw =
TargetCalculations.calculateYaw(
result.getCenterX(), params.cameraCenterPoint.x, params.horizontalFocalLength);
double[] xCorners = result.getxCorners();
double[] yCorners = result.getyCorners();
Point[] cornerPoints =
new Point[] {
new Point(xCorners[0], yCorners[0]),
new Point(xCorners[1], yCorners[1]),
new Point(xCorners[2], yCorners[2]),
new Point(xCorners[3], yCorners[3])
};
m_targetCorners = List.of(cornerPoints);
MatOfPoint contourMat = new MatOfPoint(cornerPoints);
m_approximateBoundingPolygon = new MatOfPoint2f(cornerPoints);
m_mainContour = new Contour(contourMat);
m_area = m_mainContour.getArea() / params.imageArea * 100;
m_fiducialId = result.getId();
m_shape = null;
// TODO implement skew? or just yeet
var tvec = new Mat(3, 1, CvType.CV_64FC1);
tvec.put(0, 0, result.getTvec());
setCameraRelativeTvec(tvec);
var rvec = new Mat(3, 1, CvType.CV_64FC1);
rvec.put(0, 0, result.getRvec());
setCameraRelativeRvec(rvec);
{
Translation3d translation =
// new Translation3d(tVec.get(0, 0)[0], tVec.get(1, 0)[0], tVec.get(2, 0)[0]);
new Translation3d(result.getTvec()[0], result.getTvec()[1], result.getTvec()[2]);
var axisangle =
VecBuilder.fill(result.getRvec()[0], result.getRvec()[1], result.getRvec()[2]);
Rotation3d rotation = new Rotation3d(axisangle, axisangle.normF());
Transform3d targetPose =
MathUtils.convertOpenCVtoPhotonTransform(new Transform3d(translation, rotation));
m_bestCameraToTarget3d = targetPose;
}
}
public void setFiducialId(int id) {
m_fiducialId = id;
}

View File

@@ -0,0 +1,86 @@
/*
* Copyright (C) Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
package org.photonvision.vision.pipeline;
import java.io.IOException;
import java.util.stream.Collectors;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.photonvision.common.util.TestUtils;
import org.photonvision.vision.camera.QuirkyCamera;
import org.photonvision.vision.frame.provider.FileFrameProvider;
import org.photonvision.vision.pipeline.result.CVPipelineResult;
import org.photonvision.vision.target.TargetModel;
import org.photonvision.vision.target.TrackedTarget;
public class ArucoPipelineTest {
@BeforeEach
public void Init() throws IOException {
TestUtils.loadLibraries();
}
@Test
public void testApriltagFacingCameraAruco() {
var pipeline = new ArucoPipeline();
pipeline.getSettings().inputShouldShow = true;
pipeline.getSettings().outputShouldDraw = true;
pipeline.getSettings().solvePNPEnabled = true;
pipeline.getSettings().cornerDetectionAccuracyPercentage = 4;
pipeline.getSettings().cornerDetectionUseConvexHulls = true;
pipeline.getSettings().targetModel = TargetModel.k200mmAprilTag;
// pipeline.getSettings().tagFamily = AprilTagFamily.kTag36h11;
var frameProvider =
new FileFrameProvider(
TestUtils.getApriltagImagePath(TestUtils.ApriltagTestImages.kTag1_16h5_1280, false),
106,
TestUtils.getCoeffs("laptop_1280.json", false));
frameProvider.requestFrameThresholdType(pipeline.getThresholdType());
CVPipelineResult pipelineResult;
try {
pipelineResult = pipeline.run(frameProvider.get(), QuirkyCamera.DefaultCamera);
printTestResults(pipelineResult);
} catch (RuntimeException e) {
// For now, will throw coz rotation3d ctor
return;
}
// Draw on input
var outputPipe = new OutputStreamPipeline();
outputPipe.process(
pipelineResult.inputAndOutputFrame, pipeline.getSettings(), pipelineResult.targets);
TestUtils.showImage(
pipelineResult.inputAndOutputFrame.processedImage.getMat(), "Pipeline output", 999999);
}
private static void printTestResults(CVPipelineResult pipelineResult) {
double fps = 1000 / pipelineResult.getLatencyMillis();
System.out.println(
"Pipeline ran in " + pipelineResult.getLatencyMillis() + "ms (" + fps + " " + "fps)");
System.out.println("Found " + pipelineResult.targets.size() + " valid targets");
System.out.println(
"Found targets at "
+ pipelineResult.targets.stream()
.map(TrackedTarget::getBestCameraToTarget3d)
.collect(Collectors.toList()));
}
}

View File

@@ -0,0 +1,33 @@
{
"resolution": {
"width": 1280.0,
"height": 720.0
},
"cameraIntrinsics": {
"rows": 3,
"cols": 3,
"type": 6,
"data": [
772.8811133362973, 0.0, 658.195907928895, 0.0, 774.614883980155,
382.51346080446376, 0.0, 0.0, 1.0
]
},
"cameraExtrinsics": {
"rows": 1,
"cols": 5,
"type": 6,
"data": [
0.012379991516584503, -0.02480531511889502, -0.0019890797679669916,
0.004880819847116537, 0.011416616592083246
]
},
"perViewErrors": [
0.3638546496153099, 0.320248621678274, 0.5961721612674044,
0.36471868370313654, 0.8867304205602674, 0.33170668499682465,
1.1510901610887656, 0.3135195406442026, 0.6278864159169598,
0.8112949178024729, 0.3712810633477184, 0.9395284037997239,
1.3962516818958053, 0.4955041432920438, 0.36239257683589704,
0.8017916217152257, 0.3702170636543333
],
"standardDeviation": 0.3191763323035045
}

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