Sobhit Panda / WizFi360_Sobhit Public
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EON Tuner

The EON Tuner helps you find the most optimal architecture for your embedded machine-learning application. Clone this project to use the EON Tuner.

Target

No name set

Motion events

Raspberry Pi RP2040 (Cortex-M0+ 133MHz)

85 ms

264 kB

2048 kB

Filters

Status

DSP type

Network type

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Data set

Precision

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General

F1-score

Precision

Recall

100%
spectr-dense-23a
Show logs
PERFORMANCE
LATENCY
80 ms of 85 ms
RAM
8 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

5000 ms | 5000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.25

10/31/2022, 2:43:46 PM

100%
spectr-dense-640
Show logs
PERFORMANCE
LATENCY
63 ms of 85 ms
RAM
7 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.5

10/31/2022, 2:47:22 PM

100%
spectr-dense-e17
Show logs
PERFORMANCE
LATENCY
63 ms of 85 ms
RAM
7 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.25

10/31/2022, 2:49:48 PM

100%
spectr-dense-05c
Show logs
PERFORMANCE
LATENCY
80 ms of 85 ms
RAM
8 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

5000 ms | 5000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.5

10/31/2022, 2:50:59 PM

88%
spectr-dense-d32
Show logs
PERFORMANCE
LATENCY
244 ms of 85 ms
Exceeds target by 159 ms
RAM
7 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
INPUT

5000 ms | 5000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.25

10/31/2022, 2:46:15 PM

83%
spectr-dense-106
Show logs
PERFORMANCE
LATENCY
194 ms of 85 ms
Exceeds target by 109 ms
RAM
6 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.25

10/31/2022, 2:40:10 PM

82%
spectr-dense-fce
Show logs
PERFORMANCE
LATENCY
244 ms of 85 ms
Exceeds target by 159 ms
RAM
7 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
INPUT

5000 ms | 5000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.5

10/31/2022, 2:46:25 PM

76%
spectr-dense-345
Show logs
PERFORMANCE
LATENCY
80 ms of 85 ms
RAM
8 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

5000 ms | 5000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

10/31/2022, 2:46:09 PM

76%
spectr-dense-5db
Show logs
PERFORMANCE
LATENCY
80 ms of 85 ms
RAM
8 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

5000 ms | 5000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.5

10/31/2022, 2:50:01 PM

72%
spectr-dense-5c9
Show logs
PERFORMANCE
LATENCY
63 ms of 85 ms
RAM
7 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

10/31/2022, 2:40:06 PM

72%
spectr-dense-96d
Show logs
PERFORMANCE
LATENCY
63 ms of 85 ms
RAM
7 kB of 264 kB
ROM
21 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.5

10/31/2022, 2:40:13 PM

72%
spectr-dense-c1e
Show logs
PERFORMANCE
LATENCY
195 ms of 85 ms
Exceeds target by 110 ms
RAM
7 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.5

10/31/2022, 2:41:18 PM

72%
spectr-dense-b41
Show logs
PERFORMANCE
LATENCY
194 ms of 85 ms
Exceeds target by 109 ms
RAM
6 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.5

10/31/2022, 2:47:26 PM

72%
spectr-dense-285
Show logs
PERFORMANCE
LATENCY
195 ms of 85 ms
Exceeds target by 110 ms
RAM
7 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
INPUT

4000 ms | 4000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

10/31/2022, 2:47:39 PM

65%
spectr-dense-7e7
Show logs
PERFORMANCE
LATENCY
245 ms of 85 ms
Exceeds target by 160 ms
RAM
8 kB of 264 kB
ROM
18 kB of 2048 kB
DSP NN Unused
INPUT

5000 ms | 5000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

10/31/2022, 2:45:14 PM

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