TodAI / Nul Public
Target: Raspberry Pi 4 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

V1

Raspberry Pi 4

100 ms

8388608 kB

33554432 kB

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Run #1 - V1 (Mar 18 2024, 12:54:17, finished)
8%
rgb-fomo-5f4
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
631 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 60 | 8%

FOMO (MobileNetV2 0.35) | int8

3/18/2024, 3:08:31 PM

6%
grayscale-fomo-c4e
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
630 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 60 | 6%

FOMO (MobileNetV2 0.35) | int8

3/18/2024, 1:45:40 PM

4%
rgb-fomo-9c5
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
631 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 60 | 4%

FOMO (MobileNetV2 0.35) | int8

3/18/2024, 2:25:31 PM

1%
rgb-fomo-9dd
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
631 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 1%

FOMO (MobileNetV2 0.35) | int8

3/18/2024, 3:52:02 PM

0%
grayscale-fomo-9ef
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
630 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 60 | 0%

FOMO (MobileNetV2 0.35) | int8

3/18/2024, 2:24:54 PM

0%
rgb-fomo-4cd
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
631 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 30 | 0%

FOMO (MobileNetV2 0.35) | int8

3/18/2024, 4:16:13 PM

0%
grayscale-fomo-372
PERFORMANCE
LATENCY
6 ms of 100 ms
RAM
630 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 30 | 0%

FOMO (MobileNetV2 0.35) | int8

3/18/2024, 1:27:00 PM

0%
rgb-fomo-12b
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
631 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 30 | 0%

FOMO (MobileNetV2 0.35) | int8

3/18/2024, 3:51:50 PM

0%
rgb-fomo-11f
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
631 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60 | 0%

FOMO (MobileNetV2 0.35) | int8

3/18/2024, 3:08:16 PM

0%
rgb-fomo-0d6
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
631 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60 | 0%

FOMO (MobileNetV2 0.35) | int8

3/18/2024, 2:24:42 PM

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