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MaixPy_KPU_MobileNet_V1_a=0.75 vs a=0.5
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## Copyright (c) 2019 aNoken | |
import image, lcd, sensor,gc | |
import KPU as kpu | |
lcd.init() | |
lcd.rotation(2) | |
sensor.reset() | |
sensor.set_pixformat(sensor.RGB565) | |
sensor.set_framesize(sensor.QVGA) | |
sensor.set_windowing((224, 224)) | |
sensor.run(1) | |
clock = time.clock() | |
print(kpu.memtest()) | |
task1 = kpu.load(0x200000) | |
print(kpu.memtest()) | |
task2 = kpu.load(0x400000) | |
print(kpu.memtest()) | |
kpu.set_layers(task1,29) | |
kpu.set_layers(task2,29) | |
img = sensor.snapshot() | |
start = time.ticks_us() | |
fmap1 = kpu.forward(task1, img) | |
task1_time = time.ticks_us() | |
fmap2 = kpu.forward(task2, img) | |
task2_time = time.ticks_us() | |
print(start) | |
print(task1_time) | |
print(task2_time) | |
task1_time_ms = time.ticks_diff(task1_time,start )/1000.0 | |
task2_time_ms = time.ticks_diff(task2_time,task1_time )/1000.0 | |
print("MicroPython v0.5.0-12-g284ce83d6-dirty ") | |
print("MobileNet(input_shape=(224, 224, 3), alpha = 0.5)") | |
print("model_size()",task1.model_size()/1024,"KB") | |
print("Time: " + str(task1_time_ms) + " ms") | |
print("MobileNet(input_shape=(224, 224, 3), alpha = 0.75)") | |
print("model_size()",task2.model_size()/1024,"KB") | |
print("Time: " + str(task2_time_ms) + " ms") |
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MicroPython v0.5.0-12-g284ce83d6-dirty | |
MobileNet(input_shape=(224, 224, 3), alpha = 0.5) | |
model_size() 902.9453 KB | |
Time: 18.758 ms | |
MobileNet(input_shape=(224, 224, 3), alpha = 0.75) | |
model_size() 1918.195 KB | |
Time: 36.074 ms |
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