## 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.

here! Good luck for the next!

With thanks! Valuable information!

With thanks! Valuable information!

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With thanks! Valuable information!

With thanks! Valuable information!

With thanks! Valuable information!

With thanks! Valuable information!

With thanks! Valuable information!

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