系統設計者的話：學英文根本不用背，你講中文，你有在背中文嗎？學英文也是一樣的道理，那是自然而然就會的東西，用背的方式最後肯定都是不行的。 更多...

最好的學習就是有英文的父母，不斷的跟你說話、耐心的教導你，時間長了，你也就慢慢就融入其中了。

但是我們沒有英文父母怎麼辦？看影片學英文就學的起來嗎？學不起來。

我們從小到大，也看過了不少英文電影，至少也看過1、200部也跑不掉，但是為什麼看了這麼多的英文電影，英文還是很爛呢？

主要的原因是我們沒有從基礎性的強化學習。舉個例子，西方的幼兒出生時，他至少聽了各種大人講英文至少聽了2年，才慢慢開始說英文、與大人互動。

而且都是一字一句慢慢的說、慢慢的教、漸進式的、慢慢的、越來越習慣、越來越聽的懂、越來越會說的過程。

那麼我們看的影片、電影過程中，都是大人成熟型的講話速度、方式、語調，我們怎麼可能跟的上？

一旦跟不上，思想中就會產生覺的好難哦、我不行種種念頭，那麼產生了這種潛在式的排斥心理作用，那麼你就更難學的會了。


所以我們必須打好基礎、深厚的基礎，萬丈高樓平地起，唯有打下深厚的基礎，後面你走的路才會越來越順。

程式界裏有句話，程式債欠的越多，最後就只能放棄。學英文也是一樣，英文單字債欠的越多，你就直接上來文法、句型、語調，最後也只能放棄。

基於上述的思維，我打造了這套系統，從最基礎的單字學習起，不斷的強化、加深你對這個單字的聽力，透過各式各樣的影片、各式各樣的人、各種不同的場景。

就只是為了訓練一個單字的聽力，無數的人跟你講同一個單字，講個20遍、50篇、100遍(且不重覆)，我就不信學不起來。


這套系統做出來後，我自己在使用的過程中，確實真的能聽出來他們講的這個單字，而且他們講的速度再快也能聽的出來。

能聽的出來，就知道他講的大概意思；能夠知道他講的大概意思，就能夠用幾個簡單的單字回應；能夠回應，也就能夠對話；當能夠對話，就能夠再修正文法、句型、語調。


我的目地就是希望自己至少能聽的懂人家在說什麼，用英文跟人家對話，大家共同努力、學習。若有其它想法或對這套系統設計的建議，也可以與我聯絡：ichich2013@gmail.com

Getting the Most from the New Multi-Camera API (Android Dev Summit '18)
觀看次數：481
camera
historically
most
camera
apps
starting
with
android
p
what
you'll
find
characteristics
you'll
find
that
the
point-and-shoot
a
camera
2
full
which
y
uv
reprocessing
in
RAW
in
addition
oscar
I
work
in
the
developer
relations
have
a
mate
20
phone
we
are
implementing
simply
swapping
the
streams
as
you
can
there's
no
teardown
and
bring
up
on
the
stream
configurations
for
single
camera
if
we
use
the
multi-camera
api's
we
can
here's
a
visualization
of
what
we
just
and
with
the
characteristics
we
call
get
list
of
upper
configurations
some
of
configurations
into
a
single
session
using
template
preview
completion
callback
will
give
me
back
to
create
the
up
to
auto
configurations
we
radial
and
tangential
coefficients
the
coefficients
can
be
queried
using
the
means
that
distortion
will
be
corrected
see
a
code
snippet
demonstrating
how
request
builder
using
our
desired
characteristics
to
determine
if
high
over
to
emily
thanks
oscar
my
name
is
emily
roberts
i'm
a
partner
multi
camera
API
is
to
do
a
bouquet
mechanisms
for
creating
the
bouquet
published
soon
open
source
so
don't
optimization
on
this
let's
see
how
that
finding
the
foreground
it
didn't
do
too
bad
it's
generating
the
foreground
image
bottom
left
hand
corner
that's
detecting
obviously
there's
a
few
optimizations
check
the
camera
characteristics
to
see
you're
using
multicam
again
lots
of
monochrome
in
sepia
that
you
can
query
channels
okey-dokey
so
we've
got
the
foreground
from
face
detect
we've
got
good
there's
a
couple
of
optimizations
actual
foreground
bounds
we
could
also
multiple
output
configurations
so
for
output
configurations
we're
putting
into
shark
wide-angle
lens
is
Susie
lou
the
couch
hippopotamus
and
they're
both
zeroing
in
on
that
so
those
skewed
rectangles
there
that's
raspberry
crunch
so
they're
both
seeing
time
is
that
it's
in
the
y-coordinate
so
that
i'm
using
assumes
that
they're
part
camera
sensors
are
often
optimized
you're
implementing
this
so
we
have
the
camera
extrinsic
s--
how
we
get
the
characteristics
this
is
things
like
the
and
distortion
the
wide-angle
lens
and
we're
gonna
use
the
intrinsic
distortion
we're
going
to
undistorted
and
then
re
undistorted
which
means
we're
actually
distortion
distortion
mode
is
off
okie
dokie
so
translation
the
camera
characteristics
matrix
and
the
lens
distortion
afternoon
printout
a
checkerboard
sheet
it's
great
camera
calibration
take
a
characteristics
and
from
then
you
can
go
calibration
and
distortion
so
you
can
few
notes
if
you're
implementing
these
yourself
so
the
camera
characteristics
like
they've
been
in
a
whirlpool
so
you're
sure
something's
wrong
with
those
2
coefficients
anyway
so
once
we
have
down
we
don't
live
in
the
funhouse
it's
the
distortion
effects
we're
when
you're
comparing
two
images
the
ma'am
we
call
that
rectifying
and
we
use
the
camera
characteristics
to
do
that
of
these
functions
are
in
the
opencv
the
API
the
camera
matrix
the
distortion
coefficients
the
rotation
and
undistorted
imap
which
creates
a
map
the
pixel
3
and
the
wide-angle
lens
from
a
lot
more
crop
region
that's
all
lined
straight
there's
no
wacky
distortion
and
left-hand
side
of
the
frame
so
they're
got
the
images
we've
undistorted
we
rectified
them
or
we're
very
close
to
so
the
darker
pixels
as
we
saw
in
the
highlight
the
foreground
that's
pretty
decide
foreground
background
that's
it
around
80
to
140
out
of
255
and
that's
monochrome
it
and
cut
out
that

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