Uploaded May 2019 | Updated September 2026, 2 weeks ago
Here you will find the model:
github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md#open-images-trained-models
it is thresholded at 30% and there's nothing you can do to decrease it I guess.
a working link to original input 4k video: archive.org/details/0002201705192
Of course you can retrain, but who wants to waste so much power and pollute the environment?
What is the carbon footprint for Deep Learning?
Thanks for the coffee if I helped you somehow:
bit.ly/Coffee4Karol
And the Patreon account:
patreon.com/karolmajek
Is it a good idea to have Patreon?!
Here you will find the model:
github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md#open-images-trained-models
it is thresholded at 30% and there's nothing you can do to decrease it I guess.
a working link to original input 4k video: archive.org/details/0002201705192
Of course you can retrain, but who wants to waste so much power and pollute the environment?
What is the carbon footprint for Deep Learning?
Thanks for the coffee if I helped you somehow:
bit.ly/Coffee4Karol
And the Patreon account:
patreon.com/karolmajek
Is it a good idea to have Patreon?!






![SSD Mobilenet v2 COCO TensorRT Jetson Nano
Network:
networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff
[TRT]
[TRT] Timing Report networks/SSD-Mobilenet-v2/ssd_mobilenet_v2_coco.uff
[TRT]
[TRT] Pre-Process CPU 0.05505ms CUDA 1.04162ms
[TRT] Network CPU 89.19215ms CUDA 45.69714ms
[TRT] Post-Process CPU 0.02917ms CUDA 0.02927ms
[TRT] Visualize CPU 0.23381ms CUDA 37.23661ms
[TRT] Total CPU 89.51019ms CUDA 84.00464ms
[TRT]
Run:
./detectnet output-codec=h265 overlay=box,labels,conf bitrate=50000000 headless log-level=info ~/0002-20170519-2.mp4 ~/ssd_mobilenet_v2_coco.mp4
Download my 4k video test sequence: https://archive.org/details/0002201705192 SSD Mobilenet v2 COCO TensorRT Jetson Nano](https://i.ytimg.com/vi/wPYgaA-Dm70/mqdefault.jpg)



