How to train custom fast moving object detction

[Manueljohnson063]

Hai,First of all thanks for your great repo...
I am planning to train your FMO code in my dataset .
Is it possible ?
The data ie is available with me is only images captured from camera
@rozumden

[rozumden]

Hi, there is a training script: https://github.com/rozumden/FMODetect/blob/master/train.py, which can be triggered with train.sh.
The synthetic dataset is generated using this sub-folder: https://github.com/rozumden/FMODetect/tree/master/dataset
Since you have only images captured with your camera, I assume you must provide ground truth by manual labelling.

[Manueljohnson063]

Hi sir ,
How i will annotate my dataset.
Specifically any tools available ?
Many many thanks in advance.
@rozumden

[Manueljohnson063]

Hi ,Sir
I am having images that have FMO ,Which tool you had used to annotate the custom data .Please help me
Thanks in advance .
@rozumden

[rozumden]

Hi, we used synthetic data to train, and we used Blender to generate it. For your use-case, you could just annotate with a custom written annotation tool in Python.

[Manueljohnson063]

Sir,Thanks for your quick response .
Is it same like annotating the object detection ?
How i select the area?
How you annotate your blender dataset ?
Sir...
@rozumden