[BUG]

[j3mu5]

Describe the bug
When training a known person in tab training with confirmation "Do you want to sync all images for person_name? This will untrain and retrain all images for the configured detectors.", there are errors in the log if more than 200 images are used:

24-12-24 14:32:09 error: compreface training error: No face is found in the given image
24-12-24 14:32:09 error: TypeError: Cannot convert undefined or null to object
at /double-take/api/src/controllers/train.controller.js:54:7
at Array.forEach ()
at /double-take/api/src/controllers/train.controller.js:52:15
at Array.forEach ()
at module.exports.get (/double-take/api/src/controllers/train.controller.js:49:9)
at newFn (/double-take/api/node_modules/express-async-errors/index.js:16:20)
at Layer.handle [as handle_request] (/double-take/api/node_modules/express/lib/router/layer.js:95:5)
at next (/double-take/api/node_modules/express/lib/router/route.js:149:13)
at /double-take/api/src/middlewares/index.js:67:3
at newFn (/double-take/api/node_modules/express-async-errors/index.js:16:20)

Version of Double Take
v1.13.11.8

Expected behavior
Training should run without issues. I don't know if this error affects the training results.

Hardware

• Architecture or platform: x86
• OS: Alpine Linux with docker
• Browser (if applicable): Chrome
• Docker image (if applicable): image: skrashevich/double-take

Configuration
detectors:
compreface:
url: http://IP:port
key: xxxxx
det_prob_threshold: 0.64

deepstack:
url: http://IP:port
key: xxxx

ui:
pagination:
limit: 100
thumbnails:
# value between 0-100
quality: 100
# value in pixels
width: 666

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