def f(input, params, stats, mode, prefix=''):
x = F.conv2d(input, params[prefix + 'conv0'], padding=1)
g0 = group(x, params, stats, prefix + 'group0', mode, 1)
g1 = group(g0, params, stats, prefix + 'group1', mode, 2)
g2 = group(g1, params, stats, prefix + 'group2', mode, 2)
o = F.relu(batch_norm(g2, params, stats, prefix + 'bn', mode))
o = F.avg_pool2d(o, 8, 1, 0)
o = o.view(o.size(0), -1)
o = F.linear(o, params[prefix + 'fc.weight'],
params[prefix + 'fc.bias'])
#x_s = F.conv2d(input, params[prefix+'conv0_s'], padding=1)
if stu_depth != 0:
if opt.param_share:
gs0 = group_student(x, params, stats, prefix + 'group0', mode,
1, n_s)
gs1 = group_student(gs0, params, stats, prefix + 'group1',
mode, 2, n_s)
gs2 = group_student(gs1, params, stats, prefix + 'group2',
mode, 2, n_s)
else:
gs0 = group_student(x, params, stats, prefix + 'groups0', mode,
1, n_s)
gs1 = group_student(gs0, params, stats, prefix + 'groups1',
mode, 2, n_s)
gs2 = group_student(gs1, params, stats, prefix + 'groups2',
mode, 2, n_s)
os = F.relu(batch_norm(gs2, params, stats, prefix + 'bns', mode))
os = F.avg_pool2d(os, 8, 1, 0)
os = os.view(os.size(0), -1)
os = F.linear(os, params[prefix + 'fcs.weight'],
params[prefix + 'fcs.bias'])
return os, o, [g0, g1, g2, gs0, gs1, gs2]
else:
return o, [g0, g1, g2]
def rm(self):
files = []
op = ''
true_ops = ['-r', '-R', '--recursive']
for i in range(1, len(self.sliced_cmd)):
x = self.sliced_cmd[i]
if x in true_ops:
if op == '':
if len(x) > 2:
op = x[1:3].lower
else:
op = x
else:
raise Exception('Invalid command.')
else:
files.append(x)
if op == '':
for i in files:
if os.size(i) != 0:
raise Exception(
'Cannot remove {}. File not empty'.format(i))
else:
os.remove(i)
else:
for i in files:
try:
os.remove(i)
except Exception:
raise Exception('File does not exist')
def ls(self):
ops = []
true_ops = ['-a', '--all', '-l', '--long']
for i in range(1, len(self.sliced_cmd)):
x = self.sliced_cmd[i]
if x in true_ops and x not in ops:
if len(x) > 2:
x = x[1:3]
ops.append(x)
else:
raise Exception('Invalid command.')
if len(ops) == 0:
#open('.hello.txt', 'w')
res = os.listdir()
for i in range(0, len(res)):
aux = res.pop()
if (aux[0] != '.'):
print(aux)
#os.remove('.hello.txt')
return
elif '-a' in ops and '-l' in ops:
#open('.nanana.txt', 'w')
res = os.listdir()
for i in range(0, len(res)):
aux = res.pop()
print("{} {}".format(os.size(aux), aux))
#os.remove('.nanana.txt')
return
elif '-a' in ops:
#open('.hello.txt', 'w')
res = os.listdir()
for i in range(0, len(res)):
aux = res.pop()
print(aux)
#os.remove('.hello.txt')
return
# -l
else:
#open('.hello.txt', 'w')
res = os.listdir()
for i in range(0, len(res)):
aux = res.pop()
if (aux[0] != '.'):
print("{} {}".format(os.size(aux), aux))
#os.remove('.hello.txt')
return
def main():
from argparse import ArgumentParser
from os import makedirs, get_terminal_size as size
from os.path import exists
parser = ArgumentParser()
parser.add_argument("path")
parser.add_argument("-o", "--out", required = False)
parser.add_argument("--width", type = int, required = False)
parser.add_argument("--height", type = int, required = False)
args = parser.parse_args()
path = args.path
out = args.out or "output"
if not exists(out):
makedirs(out)
width = args.width or size().columns
height = args.height or size().lines
convert(path, out, width, height)
def main():
from log import log
log.info("start main proccess and importing")
from generator import convert
from sound import Audio, getaudio
from argparse import ArgumentParser
from os import system, listdir, makedirs, get_terminal_size as size
from os.path import exists, join
log.info("imported")
log.info("parsing arguments...")
parser = ArgumentParser()
parser.add_argument("path")
parser.add_argument("-o", "--out", required=False)
parser.add_argument("--width", type=int, required=False)
parser.add_argument("--height", type=int, required=False)
args = parser.parse_args()
log.info("parsed")
path = args.path
out = args.out or "output"
if not exists(out):
makedirs(out)
else:
log.warning("output path is existing. text files will be overwritten.")
log.info("set width and height of output...")
width = args.width or size().columns
height = args.height or size().lines
log.info("start convert proccess")
details = convert(path, out, width, height, log)
fps = details["fps"]
log.info("extracting audio...")
getaudio(path, join(out, "sound.mp3"), log)
log.info("extracted. make Audio object")
audio = Audio(join(out, "sound.mp3"))
log.info("start sound player and texts reader proccess...")
audio.start()
system(f"go run reader.go {fps} {out}")
def collate_fn(data):
"""Creates mini-batch tensors from the list of tuples (image, caption, objs_attrs).
We should build custom collate_fn rather than using default collate_fn,
because merging caption (including padding) is not supported in default.
Args:
data: list of tuple (image, caption, objs_attrs).
- image: torch tensor of shape (3, 256, 256).
- caption: torch tensor of shape (?); variable length.
Returns:
images: torch tensor of shape (batch_size, 3, 256, 256).
targets: torch tensor of shape (batch_size, padded_length).
lengths: list; valid length for each padded caption.
"""
# Sort a data list by caption length (descending order).
data.sort(key=lambda x: len(x[1]), reverse=True)
images, captions, objects_squares = zip(*data)
# Merge images (from tuple of 3D tensor to 4D tensor).
images = torch.stack(images, 0)
# Merge captions (from tuple of 1D tensor to 2D tensor).
lengths = [len(cap) for cap in captions]
targets = torch.zeros(len(captions), max(lengths)).long()
for i, cap in enumerate(captions):
end = lengths[i]
targets[i, :end] = cap[:end]
objects_squares_lengths = [
os.size(0) if os is not None else 0 for os in objects_squares
]
objects_squares = torch.cat(
[os for os in objects_squares if os is not None], 0)
return images, targets, lengths, objects_squares, objects_squares_lengths
if button_a.is_pressed() and running is False:
sleep(250)
running = True
counter = 0
display.show(Image.ANGRY, wait=False)
start_time = running_time()
if running is True and running_time() - start_time > dur:
end_time = running_time()
running = False
display.show(Image.HAPPY, wait=False)
#now write the data out to a file
count = len(os.listdir())
#with open("data_{}.dat".format(count+1), mode='wt') as f:
with open("data_{}.dat".format(count + 1), 'wt') as f:
for d in data:
f.write(str(d) + "\n")
data = []
if button_b.was_pressed() and running is False:
files = os.listdir()
for f in files:
print("{f} - {s}".format(f=f, s=os.size(f)))
if running:
if running_time() - last_sent > period:
last_sent = running_time()
data.append(accelerometer.get_values())
counter = counter + 1
from microbit import *
import music
import neopixel
import radio
import speech
import os
panic(5)
sleep(30)
rt = running_time()
display.clear()
display.show(Image.ANGRY)
display.set_pixel()
uart.read(5)
i2c.read(4, 3, True)
compass.calibrate()
button_a.is_pressed()
button_b.is_pressed()
pin0.read_analog()
display.scroll('test')
z = temperature()
os.size()
neopixel.clear()
music.play(music.BA_DING,pin0)
radio.config(length=5)
speech.say("I am a little robot", speed=92, pitch=60, throat=190, mouth=190)
music.play(music.BA_DING,)