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Run darknet in Jetson TX2

In order to use Jetson TX2 and Deep Learning in this competition, I tried to run darknet in Jetson TX2 and tested Jetson TX2 throughput.
In this post, I used Tiny-Yolo deep neural network in Jetson TX2.
This is the result of object recognition.

Tiny yolo structure is here.

layer filters size         input                output
0     conv    16 3 x 3   / 1 416 x 416 x 3  ->; 416 x 416 x 16
1     max     2 x 2      / 2 416 x 416 x 16 ->; 208 x 208 x 16
2     conv    32 3 x 3   / 1 208 x 208 x 16 ->; 208 x 208 x 32
3     max     2 x 2      / 2 208 x 208 x 32 ->; 104 x 104 x 32
4     conv    64 3 x 3   / 1 104 x 104 x 32 ->; 104 x 104 x 64
5     max     2 x 2      / 2 104 x 104 x 64 ->; 52 x 52 x 64
6     conv    128 3 x 3  / 1 52 x 52 x 64   ->; 52 x 52 x 128
7     max     2 x 2      / 2 52 x 52 x 128  ->; 26 x 26 x 128
8     conv    256 3 x 3  / 1 26 x 26 x 128  ->; 26 x 26 x 256
9     max     2 x 2      / 2 26 x 26 x 256  ->; 13 x 13 x 256
10    conv    512 3 x 3  / 1 13 x 13 x 256  ->; 13 x 13 x 512
11    max     2 x 2      / 1 13 x 13 x 512  ->; 13 x 13 x 512
12    conv    1024 3 x 3 / 1 13 x 13 x 512  ->; 13 x 13 x1024
13    conv    1024 3 x 3 / 1 13 x 13 x1024  ->; 13 x 13 x1024
14    conv    125 1 x 1  / 1 13 x 13 x1024  ->; 13 x 13 x 125
15    detection

dog.jpg

eagle.jpg

giraffe.jpg

person.jpg

scream.jpg

Prediction time is here.(10 times average)

Detailed information is here.

10 thoughts on “Run darknet in Jetson TX2

  1. Hi there! This post could not be written any better! Reading through this post reminds me of my old room mate! He always kept talking about this. I will forward this post to him. Fairly certain he will have a good read. Thank you for sharing!

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