Mikel / Pizza Public
Target: Nvidia Jetson Nano Clone this project
Experiments EON Tuner
The EON Tuner helps you quickly run hyper-parameter sweeps that explore different pre-processing + model architectures optimized for your defined objectives. Clone this project to use the EON Tuner.

Target

Run #1

Nvidia Jetson Nano

100 ms

4194304 kB

16777216 kB

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Run #1 (Feb 13 2025, 23:13:28, finished)
100%
rgb-fomo-89e
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
2439 kB of 4194304 kB
ROM
68 kB of 16777216 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 60 | 100%

FOMO (MobileNetV2 0.1) | float32

2/13/2025, 11:25:43 PM

100%
rgb-fomo-a72
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
887 kB of 4194304 kB
ROM
104 kB of 16777216 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 100%

FOMO (MobileNetV2 0.35) | float32

2/13/2025, 11:38:52 PM

100%
rgb-fomo-94e
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
887 kB of 4194304 kB
ROM
104 kB of 16777216 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 30 | 100%

FOMO (MobileNetV2 0.35) | float32

2/13/2025, 11:32:45 PM

100%
rgb-fomo-9c4
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
1565 kB of 4194304 kB
ROM
68 kB of 16777216 kB
DSP NN Unused
IMAGE INPUT

128 |
128

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 100%

FOMO (MobileNetV2 0.1) | float32

2/13/2025, 11:21:09 PM

100%
rgb-fomo-6a0
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
887 kB of 4194304 kB
ROM
68 kB of 16777216 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 100%

FOMO (MobileNetV2 0.1) | float32

2/13/2025, 11:32:06 PM

100%
rgb-fomo-2db
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
887 kB of 4194304 kB
ROM
68 kB of 16777216 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 60 | 100%

FOMO (MobileNetV2 0.1) | float32

2/13/2025, 11:26:03 PM

100%
rgb-fomo-661
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
891 kB of 4194304 kB
ROM
104 kB of 16777216 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 100%

FOMO (MobileNetV2 0.35) | float32

2/13/2025, 11:21:39 PM

100%
grayscale-fomo-964
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
2439 kB of 4194304 kB
ROM
103 kB of 16777216 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 30 | 100%

FOMO (MobileNetV2 0.35) | float32

2/13/2025, 11:25:00 PM

100%
grayscale-fomo-dcf
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
1569 kB of 4194304 kB
ROM
103 kB of 16777216 kB
DSP NN Unused
IMAGE INPUT

128 |
128

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 30 | 100%

FOMO (MobileNetV2 0.35) | float32

2/13/2025, 11:22:41 PM

100%
rgb-fomo-55c
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
1569 kB of 4194304 kB
ROM
68 kB of 16777216 kB
DSP NN Unused
IMAGE INPUT

128 |
128

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60 | 100%

FOMO (MobileNetV2 0.1) | float32

2/13/2025, 11:21:50 PM

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