feat(api): update frigate sub label

README.md

@@ -38,7 +38,7 @@ There's a lot of great open source software to perform facial recognition, but e
 
 ### Supported NVRs
 
-- [Frigate](https://github.com/blakeblackshear/frigate) v0.8.0-0.9.0
+- [Frigate](https://github.com/blakeblackshear/frigate) v0.8.0-0.11.0
 
 ## Integrations
 
@@ -328,6 +328,10 @@ detect:
 frigate:
   url:
 
+  # if double take should send matches back to frigate as a sub label
+  # NOTE: requires frigate 0.11.0+
+  update_sub_labels: false
+
   # object labels that are allowed for facial recognition
   labels:
     - person

api/src/constants/defaults.js

@@ -24,6 +24,7 @@ module.exports = {
     attempts: { latest: 10, snapshot: 10, mqtt: true, delay: 0 },
     image: { height: 500 },
     labels: ['person'],
+    update_sub_labels: false,
   },
   mqtt: {
     topics: {

api/src/controllers/recognize.controller.js

@@ -180,6 +180,7 @@ module.exports.start = async (req, res) => {
     recognize.save.latest(camera, best, misses, unknown);
     mqtt.recognize(output);
     notify.publish(output, camera, results);
+    if (event.type === 'frigate') frigate.subLabel(event.topic, id, best);
     if (output.matches.length) IDS.push(id);
     if (results.length) emit('recognize', true);
   } catch (error) {

api/src/util/frigate.util.js

@@ -5,6 +5,16 @@ const { FRIGATE, MQTT } = require('../constants')();
 
 const frigate = this;
 
+module.exports.subLabel = async (topic, id, best) => {
+  if (!FRIGATE.URL || !FRIGATE.UPDATE_SUB_LABELS || !best.length) return;
+  const names = best.map(({ name }) => name).join(', ');
+  await axios({
+    method: 'post',
+    url: `${this.topicURL(topic)}/api/events/${id}/sub_label`,
+    data: { subLabel: names },
+  }).catch((error) => console.error(`sublabel error: ${error.message}`));
+};
+
 module.exports.checks = async ({
   id,
   frigateEventType: type,