XLll / 姿势 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

posture

Raspberry Pi 4

100 ms

8388608 kB

33554432 kB

Filters

Status

DSP type

Model type

View

Data set

Variant

Sort

General

F1-score

Precision

Recall

Run #1 - posture (Mar 17 2024, 01:03:41, finished)
98%
grayscale-fomo-c16
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
243 kB of 8388608 kB
ROM
78 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 60 | 98%

FOMO (MobileNetV2 0.35) | int8

3/17/2024, 1:23:38 AM

95%
rgb-fomo-e98
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
409 kB of 8388608 kB
ROM
65 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

128 |
128

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60 | 95%

FOMO (MobileNetV2 0.1) | int8

3/17/2024, 1:16:34 AM

93%
grayscale-fomo-3ef
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
627 kB of 8388608 kB
ROM
64 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 30 | 93%

FOMO (MobileNetV2 0.1) | int8

3/17/2024, 1:19:15 AM

92%
grayscale-fomo-92d
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
630 kB of 8388608 kB
ROM
78 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 60 | 92%

FOMO (MobileNetV2 0.35) | int8

3/17/2024, 1:23:02 AM

90%
grayscale-fomo-574
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
409 kB of 8388608 kB
ROM
64 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

128 |
128

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 30 | 90%

FOMO (MobileNetV2 0.1) | int8

3/17/2024, 1:18:05 AM

88%
rgb-fomo-1ec
PERFORMANCE
LATENCY
6 ms of 100 ms
RAM
627 kB of 8388608 kB
ROM
65 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60 | 88%

FOMO (MobileNetV2 0.1) | int8

3/17/2024, 1:18:40 AM

86%
rgb-fomo-e84
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
244 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 86%

FOMO (MobileNetV2 0.35) | int8

3/17/2024, 1:23:00 AM

76%
rgb-fomo-9d5
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
627 kB of 8388608 kB
ROM
65 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 76%

FOMO (MobileNetV2 0.1) | int8

3/17/2024, 1:28:04 AM

73%
rgb-fomo-56b
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
240 kB of 8388608 kB
ROM
65 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 73%

FOMO (MobileNetV2 0.1) | int8

3/17/2024, 1:15:00 AM

22%
rgb-fomo-d13
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
244 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 30 | 22%

FOMO (MobileNetV2 0.35) | int8

3/17/2024, 1:22:30 AM

Help & documentation Get help on the forum Send feedback Contact sales
Join us
Terms of Service Privacy policy