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- Mar 13, 2021
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I am not using YOLO or any pre-trained model.
Using Tensorflow API with Python to train a model on custom image.
This works very well with my laptop camera but with DJI Tello's camera I get
"circular buffer overrun. to avoid, increase fifo_size url option. to survive in such case, use overrun_nonfatal option" and then tello's camera stops working.
I tried with "?overrun_nonfatal=1&fifo_size=100000000", now it doesn't blow up but doesn't work either.
It just renders one frame then freezes.
My model is too heavy around 5 GB in size.
When I don't try to detect object in the image then streaming works alright but as soon as I call my object detection method, it starts showing above issue.
I am passing image.copy() in detection method, so not sure what is the issue.
Any help? any one?
Using Tensorflow API with Python to train a model on custom image.
This works very well with my laptop camera but with DJI Tello's camera I get
"circular buffer overrun. to avoid, increase fifo_size url option. to survive in such case, use overrun_nonfatal option" and then tello's camera stops working.
I tried with "?overrun_nonfatal=1&fifo_size=100000000", now it doesn't blow up but doesn't work either.
It just renders one frame then freezes.
My model is too heavy around 5 GB in size.
When I don't try to detect object in the image then streaming works alright but as soon as I call my object detection method, it starts showing above issue.
I am passing image.copy() in detection method, so not sure what is the issue.
Any help? any one?