Martin La Salle / MarTabernache Public
Target: Cortex-M7 216MHz 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

No name set

Cortex-M7 216MHz

100 ms

340 kB

1024 kB

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F1-score

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Run #1 (Jun 11 2024, 11:48:46, finished)
70%
rgb-fomo-4fd
PERFORMANCE
LATENCY
155 ms of 100 ms
Exceeds target by 55 ms
RAM
630 kB of 340 kB
Exceeds target by 290 kB
ROM
79 kB of 1024 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 60 | 70%

FOMO (MobileNetV2 0.35) | int8

6/11/2024, 12:21:52 PM

65%
rgb-fomo-d1c
PERFORMANCE
LATENCY
133 ms of 100 ms
Exceeds target by 33 ms
RAM
630 kB of 340 kB
Exceeds target by 290 kB
ROM
79 kB of 1024 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 65%

FOMO (MobileNetV2 0.35) | int8

6/11/2024, 12:12:51 PM

62%
grayscale-fomo-03a
PERFORMANCE
LATENCY
103 ms of 100 ms
Exceeds target by 3 ms
RAM
630 kB of 340 kB
Exceeds target by 290 kB
ROM
78 kB of 1024 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 60 | 62%

FOMO (MobileNetV2 0.35) | int8

6/11/2024, 12:31:24 PM

59%
grayscale-fomo-48d
PERFORMANCE
LATENCY
104 ms of 100 ms
Exceeds target by 4 ms
RAM
630 kB of 340 kB
Exceeds target by 290 kB
ROM
78 kB of 1024 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 60 | 59%

FOMO (MobileNetV2 0.35) | int8

6/11/2024, 12:00:46 PM

57%
rgb-fomo-ebf
PERFORMANCE
LATENCY
117 ms of 100 ms
Exceeds target by 17 ms
RAM
630 kB of 340 kB
Exceeds target by 290 kB
ROM
79 kB of 1024 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60 | 57%

FOMO (MobileNetV2 0.35) | int8

6/11/2024, 12:05:13 PM

51%
grayscale-fomo-917
PERFORMANCE
LATENCY
104 ms of 100 ms
Exceeds target by 4 ms
RAM
630 kB of 340 kB
Exceeds target by 290 kB
ROM
78 kB of 1024 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 60 | 51%

FOMO (MobileNetV2 0.35) | int8

6/11/2024, 12:16:48 PM

38%
grayscale-fomo-3a1
PERFORMANCE
LATENCY
154 ms of 100 ms
Exceeds target by 54 ms
RAM
630 kB of 340 kB
Exceeds target by 290 kB
ROM
78 kB of 1024 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 30 | 38%

FOMO (MobileNetV2 0.35) | int8

6/11/2024, 12:27:58 PM

32%
grayscale-fomo-7f7
PERFORMANCE
LATENCY
70 ms of 100 ms
RAM
630 kB of 340 kB
Exceeds target by 290 kB
ROM
78 kB of 1024 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 60 | 32%

FOMO (MobileNetV2 0.35) | int8

6/11/2024, 12:11:03 PM

32%
grayscale-fomo-999
PERFORMANCE
LATENCY
120 ms of 100 ms
Exceeds target by 20 ms
RAM
630 kB of 340 kB
Exceeds target by 290 kB
ROM
78 kB of 1024 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 30 | 32%

FOMO (MobileNetV2 0.35) | int8

6/11/2024, 11:57:45 AM

30%
rgb-fomo-cf8
PERFORMANCE
LATENCY
81 ms of 100 ms
RAM
630 kB of 340 kB
Exceeds target by 290 kB
ROM
79 kB of 1024 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60 | 30%

FOMO (MobileNetV2 0.35) | int8

6/11/2024, 12:00:39 PM

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