Updating the input image sizes to have a higher resolution. Currently unclean data is reaching 70% accuracy.
This commit is contained in:
Lucas Oskorep
@@ -8,6 +8,12 @@ __pycache__/
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# C extensions
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*.so
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data/
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downloads/
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fortt/
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logs/
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# Distribution / packaging
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.Python
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build/
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@@ -17,6 +17,7 @@ out/
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# Gradle files
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.gradle/
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build/
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.idea/
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# Local configuration file (sdk path, etc)
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local.properties
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Binary file not shown.
+2
-2
@@ -1,6 +1,6 @@
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#Sun Apr 14 18:43:29 CDT 2019
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#Tue Nov 14 09:09:45 PST 2017
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distributionBase=GRADLE_USER_HOME
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distributionPath=wrapper/dists
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zipStoreBase=GRADLE_USER_HOME
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zipStorePath=wrapper/dists
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distributionUrl=https\://services.gradle.org/distributions/gradle-4.10.1-all.zip
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distributionUrl=https\://services.gradle.org/distributions/gradle-4.1-all.zip
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Vendored
+44
-56
@@ -1,4 +1,4 @@
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#!/usr/bin/env sh
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#!/usr/bin/env bash
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##############################################################################
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##
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@@ -6,6 +6,42 @@
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##
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##############################################################################
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# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
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DEFAULT_JVM_OPTS=""
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APP_NAME="Gradle"
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APP_BASE_NAME=`basename "$0"`
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# Use the maximum available, or set MAX_FD != -1 to use that value.
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MAX_FD="maximum"
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warn ( ) {
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echo "$*"
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}
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die ( ) {
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echo
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echo "$*"
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echo
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exit 1
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}
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# OS specific support (must be 'true' or 'false').
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cygwin=false
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msys=false
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darwin=false
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case "`uname`" in
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CYGWIN* )
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cygwin=true
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;;
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Darwin* )
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darwin=true
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;;
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MINGW* )
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msys=true
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;;
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esac
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# Attempt to set APP_HOME
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# Resolve links: $0 may be a link
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PRG="$0"
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@@ -24,46 +60,6 @@ cd "`dirname \"$PRG\"`/" >/dev/null
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APP_HOME="`pwd -P`"
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cd "$SAVED" >/dev/null
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|
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APP_NAME="Gradle"
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APP_BASE_NAME=`basename "$0"`
|
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|
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# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
|
||||
DEFAULT_JVM_OPTS=""
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|
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# Use the maximum available, or set MAX_FD != -1 to use that value.
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MAX_FD="maximum"
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|
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warn () {
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echo "$*"
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}
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die () {
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echo
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echo "$*"
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echo
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exit 1
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}
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# OS specific support (must be 'true' or 'false').
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cygwin=false
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msys=false
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||||
darwin=false
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nonstop=false
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case "`uname`" in
|
||||
CYGWIN* )
|
||||
cygwin=true
|
||||
;;
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||||
Darwin* )
|
||||
darwin=true
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;;
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||||
MINGW* )
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||||
msys=true
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;;
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NONSTOP* )
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nonstop=true
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;;
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esac
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CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
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|
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# Determine the Java command to use to start the JVM.
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@@ -89,7 +85,7 @@ location of your Java installation."
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fi
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# Increase the maximum file descriptors if we can.
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if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
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if [ "$cygwin" = "false" -a "$darwin" = "false" ] ; then
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MAX_FD_LIMIT=`ulimit -H -n`
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if [ $? -eq 0 ] ; then
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if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
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@@ -154,19 +150,11 @@ if $cygwin ; then
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esac
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||||
fi
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||||
|
||||
# Escape application args
|
||||
save () {
|
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for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
|
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echo " "
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||||
# Split up the JVM_OPTS And GRADLE_OPTS values into an array, following the shell quoting and substitution rules
|
||||
function splitJvmOpts() {
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||||
JVM_OPTS=("$@")
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}
|
||||
APP_ARGS=$(save "$@")
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eval splitJvmOpts $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS
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JVM_OPTS[${#JVM_OPTS[*]}]="-Dorg.gradle.appname=$APP_BASE_NAME"
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|
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# Collect all arguments for the java command, following the shell quoting and substitution rules
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eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
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|
||||
# by default we should be in the correct project dir, but when run from Finder on Mac, the cwd is wrong
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||||
if [ "$(uname)" = "Darwin" ] && [ "$HOME" = "$PWD" ]; then
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cd "$(dirname "$0")"
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fi
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exec "$JAVACMD" "$@"
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exec "$JAVACMD" "${JVM_OPTS[@]}" -classpath "$CLASSPATH" org.gradle.wrapper.GradleWrapperMain "$@"
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Vendored
+10
-4
@@ -8,14 +8,14 @@
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@rem Set local scope for the variables with windows NT shell
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if "%OS%"=="Windows_NT" setlocal
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@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
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||||
set DEFAULT_JVM_OPTS=
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||||
set DIRNAME=%~dp0
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if "%DIRNAME%" == "" set DIRNAME=.
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||||
set APP_BASE_NAME=%~n0
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||||
set APP_HOME=%DIRNAME%
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||||
|
||||
@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
|
||||
set DEFAULT_JVM_OPTS=
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|
||||
@rem Find java.exe
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if defined JAVA_HOME goto findJavaFromJavaHome
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@@ -46,9 +46,10 @@ echo location of your Java installation.
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goto fail
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:init
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@rem Get command-line arguments, handling Windows variants
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@rem Get command-line arguments, handling Windowz variants
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if not "%OS%" == "Windows_NT" goto win9xME_args
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if "%@eval[2+2]" == "4" goto 4NT_args
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:win9xME_args
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@rem Slurp the command line arguments.
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||||
@@ -59,6 +60,11 @@ set _SKIP=2
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if "x%~1" == "x" goto execute
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set CMD_LINE_ARGS=%*
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||||
goto execute
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||||
:4NT_args
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||||
@rem Get arguments from the 4NT Shell from JP Software
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||||
set CMD_LINE_ARGS=%$
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||||
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||||
:execute
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@rem Setup the command line
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@@ -0,0 +1,116 @@
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{
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"images": [
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{
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"size": "20x20",
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"idiom": "iphone",
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"filename": "logo-2.png",
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"scale": "2x"
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},
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{
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"size": "20x20",
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"idiom": "iphone",
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"filename": "logo-3.png",
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"scale": "3x"
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},
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{
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"size": "29x29",
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"idiom": "iphone",
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"filename": "logo-4.png",
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"scale": "2x"
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},
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{
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"size": "29x29",
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"idiom": "iphone",
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"filename": "logo-5.png",
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"scale": "3x"
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},
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{
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"size": "40x40",
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"idiom": "iphone",
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"filename": "logo-6.png",
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"scale": "2x"
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},
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{
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"size": "40x40",
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"idiom": "iphone",
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"filename": "logo-7.png",
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"scale": "3x"
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},
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{
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"size": "60x60",
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"idiom": "iphone",
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"filename": "logo-1.png",
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"scale": "2x"
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},
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{
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"size": "60x60",
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"idiom": "iphone",
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"filename": "logo.png",
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"scale": "3x"
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},
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{
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"size": "20x20",
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"idiom": "ipad",
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"filename": "logo-8.png",
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"scale": "1x"
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},
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{
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"size": "20x20",
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"idiom": "ipad",
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"filename": "logo-9.png",
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"scale": "2x"
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},
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{
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"size": "29x29",
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"idiom": "ipad",
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"filename": "logo-10.png",
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"scale": "1x"
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},
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{
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"size": "29x29",
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"idiom": "ipad",
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"filename": "logo-11.png",
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"scale": "2x"
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},
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{
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"size": "40x40",
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"idiom": "ipad",
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"filename": "logo-12.png",
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"scale": "1x"
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||||
},
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||||
{
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||||
"size": "40x40",
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"idiom": "ipad",
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"filename": "logo-13.png",
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"scale": "2x"
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},
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{
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"size": "76x76",
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"idiom": "ipad",
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"filename": "logo-14.png",
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"scale": "1x"
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||||
},
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||||
{
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||||
"size": "76x76",
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"idiom": "ipad",
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||||
"filename": "logo-15.png",
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||||
"scale": "2x"
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||||
},
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||||
{
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||||
"size": "83.5x83.5",
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||||
"idiom": "ipad",
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||||
"filename": "logo-16.png",
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||||
"scale": "2x"
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||||
},
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||||
{
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||||
"size": "1024x1024",
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"idiom": "ios-marketing",
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||||
"filename": "logo-17.png",
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||||
"scale": "1x"
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||||
}
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||||
],
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||||
"info": {
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||||
"version": 1,
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||||
"author": "xcode"
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||||
}
|
||||
}
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||||
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BIN
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Executable
+6
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"info": {
|
||||
"version": 1,
|
||||
"author": "xcode"
|
||||
}
|
||||
}
|
||||
Executable
+21
@@ -0,0 +1,21 @@
|
||||
// Copyright 2017 The TensorFlow Authors. All Rights Reserved.
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
#import <UIKit/UIKit.h>
|
||||
|
||||
@interface CameraExampleAppDelegate : UIResponder<UIApplicationDelegate>
|
||||
|
||||
@property(strong, nonatomic) UIWindow* window;
|
||||
|
||||
@end
|
||||
Executable
+44
@@ -0,0 +1,44 @@
|
||||
// Copyright 2017 The TensorFlow Authors. All Rights Reserved.
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
#import "CameraExampleAppDelegate.h"
|
||||
|
||||
@implementation CameraExampleAppDelegate
|
||||
|
||||
@synthesize window = _window;
|
||||
|
||||
- (BOOL)application:(UIApplication *)application
|
||||
didFinishLaunchingWithOptions:(NSDictionary *)launchOptions {
|
||||
[self.window makeKeyAndVisible];
|
||||
return YES;
|
||||
}
|
||||
|
||||
- (void)applicationWillResignActive:(UIApplication *)application {
|
||||
[[UIApplication sharedApplication] setIdleTimerDisabled:NO];
|
||||
}
|
||||
|
||||
- (void)applicationDidEnterBackground:(UIApplication *)application {
|
||||
}
|
||||
|
||||
- (void)applicationWillEnterForeground:(UIApplication *)application {
|
||||
}
|
||||
|
||||
- (void)applicationDidBecomeActive:(UIApplication *)application {
|
||||
[[UIApplication sharedApplication] setIdleTimerDisabled:YES];
|
||||
}
|
||||
|
||||
- (void)applicationWillTerminate:(UIApplication *)application {
|
||||
}
|
||||
|
||||
@end
|
||||
Executable
+58
@@ -0,0 +1,58 @@
|
||||
// Copyright 2017 The TensorFlow Authors. All Rights Reserved.
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
#import <AVFoundation/AVFoundation.h>
|
||||
#import <UIKit/UIKit.h>
|
||||
#import <Photos/Photos.h>
|
||||
|
||||
#include <vector>
|
||||
|
||||
#include "tensorflow/contrib/lite/kernels/register.h"
|
||||
#include "tensorflow/contrib/lite/model.h"
|
||||
|
||||
typedef struct {
|
||||
int width;
|
||||
int height;
|
||||
int channels;
|
||||
std::vector<uint8_t> data;
|
||||
} image_data;
|
||||
|
||||
|
||||
@interface CameraExampleViewController
|
||||
: UIViewController<UIGestureRecognizerDelegate, AVCaptureVideoDataOutputSampleBufferDelegate> {
|
||||
IBOutlet UIView* previewView;
|
||||
CALayer* previewLayer;
|
||||
UIView* flashView;
|
||||
NSMutableArray* labelLayers;
|
||||
|
||||
|
||||
std::vector<std::string> labels;
|
||||
std::unique_ptr<tflite::FlatBufferModel> model;
|
||||
tflite::ops::builtin::BuiltinOpResolver resolver;
|
||||
std::unique_ptr<tflite::Interpreter> interpreter;
|
||||
|
||||
double total_latency;
|
||||
int total_count;
|
||||
|
||||
int photos_index;
|
||||
PHFetchResult *photos;
|
||||
|
||||
UIImage* input_image;
|
||||
UIImage* display_image;
|
||||
}
|
||||
@property(strong, nonatomic) CATextLayer* predictionTextLayer;
|
||||
|
||||
- (IBAction)takePicture:(id)sender;
|
||||
@end
|
||||
|
||||
Executable
+467
@@ -0,0 +1,467 @@
|
||||
// Copyright 2017 The TensorFlow Authors. All Rights Reserved.
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
#import "CameraExampleViewController.h"
|
||||
#import <AssertMacros.h>
|
||||
#import <AssetsLibrary/AssetsLibrary.h>
|
||||
#import <CoreImage/CoreImage.h>
|
||||
#import <ImageIO/ImageIO.h>
|
||||
|
||||
#include <sys/time.h>
|
||||
#include <fstream>
|
||||
#include <iostream>
|
||||
#include <queue>
|
||||
|
||||
#include "tensorflow/contrib/lite/kernels/register.h"
|
||||
#include "tensorflow/contrib/lite/model.h"
|
||||
#include "tensorflow/contrib/lite/string_util.h"
|
||||
#include "tensorflow/contrib/lite/mutable_op_resolver.h"
|
||||
|
||||
#define LOG(x) std::cerr
|
||||
|
||||
// If you have your own model, modify this to the file name, and make sure
|
||||
// you've added the file to your app resources too.
|
||||
static NSString* model_file_name = @"graph";
|
||||
static NSString* model_file_type = @"lite";
|
||||
|
||||
// If you have your own model, point this to the labels file.
|
||||
static NSString* labels_file_name = @"labels";
|
||||
static NSString* labels_file_type = @"txt";
|
||||
|
||||
// These dimensions need to match those the model was trained with.
|
||||
static const int wanted_input_width = 224;
|
||||
static const int wanted_input_height = 224;
|
||||
static const int wanted_input_channels = 3;
|
||||
|
||||
static NSString* FilePathForResourceName(NSString* name, NSString* extension) {
|
||||
NSString* file_path = [[NSBundle mainBundle] pathForResource:name ofType:extension];
|
||||
if (file_path == NULL) {
|
||||
LOG(FATAL) << "Couldn't find '" << [name UTF8String] << "." << [extension UTF8String]
|
||||
<< "' in bundle.";
|
||||
}
|
||||
return file_path;
|
||||
}
|
||||
|
||||
static void LoadLabels(NSString* file_name, NSString* file_type,
|
||||
std::vector<std::string>* label_strings) {
|
||||
NSString* labels_path = FilePathForResourceName(file_name, file_type);
|
||||
if (!labels_path) {
|
||||
LOG(ERROR) << "Failed to find model proto at" << [file_name UTF8String]
|
||||
<< [file_type UTF8String];
|
||||
}
|
||||
std::ifstream t;
|
||||
t.open([labels_path UTF8String]);
|
||||
std::string line;
|
||||
while (t) {
|
||||
std::getline(t, line);
|
||||
if (line.length()){
|
||||
label_strings->push_back(line);
|
||||
}
|
||||
}
|
||||
t.close();
|
||||
}
|
||||
|
||||
// Returns the top N confidence values over threshold in the provided vector,
|
||||
// sorted by confidence in descending order.
|
||||
static void GetTopN(const float* prediction, const int prediction_size, const int num_results,
|
||||
const float threshold, std::vector<std::pair<float, int>>* top_results) {
|
||||
// Will contain top N results in ascending order.
|
||||
std::priority_queue<std::pair<float, int>, std::vector<std::pair<float, int>>,
|
||||
std::greater<std::pair<float, int>>>
|
||||
top_result_pq;
|
||||
|
||||
const long count = prediction_size;
|
||||
for (int i = 0; i < count; ++i) {
|
||||
const float value = prediction[i];
|
||||
// Only add it if it beats the threshold and has a chance at being in
|
||||
// the top N.
|
||||
if (value < threshold) {
|
||||
continue;
|
||||
}
|
||||
|
||||
top_result_pq.push(std::pair<float, int>(value, i));
|
||||
|
||||
// If at capacity, kick the smallest value out.
|
||||
if (top_result_pq.size() > num_results) {
|
||||
top_result_pq.pop();
|
||||
}
|
||||
}
|
||||
|
||||
// Copy to output vector and reverse into descending order.
|
||||
while (!top_result_pq.empty()) {
|
||||
top_results->push_back(top_result_pq.top());
|
||||
top_result_pq.pop();
|
||||
}
|
||||
std::reverse(top_results->begin(), top_results->end());
|
||||
}
|
||||
|
||||
@interface CameraExampleViewController (InternalMethods)
|
||||
- (void)teardownAVCapture;
|
||||
@end
|
||||
|
||||
@implementation CameraExampleViewController
|
||||
|
||||
- (void) attachPreviewLayer{
|
||||
photos_index = 0;
|
||||
photos = nil;
|
||||
previewLayer = [[CALayer alloc] init];
|
||||
|
||||
[previewLayer setBackgroundColor:[[UIColor blackColor] CGColor]];
|
||||
CALayer* rootLayer = [previewView layer];
|
||||
[rootLayer setMasksToBounds:YES];
|
||||
[previewLayer setFrame:[rootLayer bounds]];
|
||||
[rootLayer addSublayer:previewLayer];
|
||||
|
||||
[self UpdatePhoto];
|
||||
}
|
||||
|
||||
- (void)UpdatePhoto{
|
||||
PHAsset* asset;
|
||||
if (photos==nil || photos_index >= photos.count){
|
||||
[self updatePhotosLibrary];
|
||||
photos_index=0;
|
||||
}
|
||||
if (photos.count){
|
||||
asset = photos[photos_index];
|
||||
photos_index += 1;
|
||||
input_image = [self convertImageFromAsset:asset
|
||||
targetSize:CGSizeMake(wanted_input_width, wanted_input_height)
|
||||
mode:PHImageContentModeAspectFill];
|
||||
display_image = [self convertImageFromAsset:asset
|
||||
targetSize:CGSizeMake(asset.pixelWidth,asset.pixelHeight)
|
||||
mode:PHImageContentModeAspectFit];
|
||||
[self DrawImage];
|
||||
}
|
||||
|
||||
if (input_image != nil){
|
||||
image_data image = [self CGImageToPixels:input_image.CGImage];
|
||||
[self inputImageToModel:image];
|
||||
[self runModel];
|
||||
}
|
||||
}
|
||||
|
||||
- (void)DrawImage{
|
||||
CGFloat view_height = 800;
|
||||
CGFloat view_width = 600;
|
||||
|
||||
UIGraphicsBeginImageContextWithOptions(CGSizeMake(view_width, view_height), NO, 0.0);
|
||||
CGContextRef context = UIGraphicsGetCurrentContext();
|
||||
UIGraphicsPushContext(context);
|
||||
|
||||
float scale = view_width/display_image.size.width;
|
||||
|
||||
if (display_image.size.height*scale > view_height){
|
||||
scale = view_height/display_image.size.height;
|
||||
}
|
||||
|
||||
CGPoint origin = CGPointMake((view_width - display_image.size.width*scale) / 2.0f,
|
||||
(view_height - display_image.size.height*scale) / 2.0f);
|
||||
[display_image drawInRect:CGRectMake(origin.x, origin.y,
|
||||
display_image.size.width*scale,
|
||||
display_image.size.height*scale)];
|
||||
UIGraphicsPopContext();
|
||||
display_image = UIGraphicsGetImageFromCurrentImageContext();
|
||||
UIGraphicsEndImageContext();
|
||||
previewLayer.contents = (id) display_image.CGImage;
|
||||
}
|
||||
|
||||
- (void)teardownAVCapture {
|
||||
[previewLayer removeFromSuperlayer];
|
||||
}
|
||||
|
||||
- (void) updatePhotosLibrary{
|
||||
PHFetchOptions *fetchOptions = [[PHFetchOptions alloc] init];
|
||||
fetchOptions.sortDescriptors = @[[NSSortDescriptor sortDescriptorWithKey:@"creationDate" ascending:YES]];
|
||||
photos = [PHAsset fetchAssetsWithMediaType:PHAssetMediaTypeImage options:fetchOptions];
|
||||
}
|
||||
|
||||
- (UIImage *) convertImageFromAsset:(PHAsset *)asset
|
||||
targetSize:(CGSize) targetSize
|
||||
mode:(PHImageContentMode) mode{
|
||||
PHImageManager * manager = [[PHImageManager alloc] init];
|
||||
PHImageRequestOptions * options = [[PHImageRequestOptions alloc] init];
|
||||
NSMutableArray * images = [[NSMutableArray alloc] init];
|
||||
NSMutableArray * infos = [[NSMutableArray alloc] init];
|
||||
|
||||
options.synchronous = TRUE;
|
||||
|
||||
[manager requestImageForAsset:asset
|
||||
targetSize:targetSize
|
||||
contentMode:mode
|
||||
options:options
|
||||
resultHandler:^(UIImage *image, NSDictionary *info){
|
||||
[images addObject:image];
|
||||
[infos addObject:info];
|
||||
}
|
||||
];
|
||||
|
||||
UIImage *result = images[0];
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
- (AVCaptureVideoOrientation)avOrientationForDeviceOrientation:
|
||||
(UIDeviceOrientation)deviceOrientation {
|
||||
AVCaptureVideoOrientation result = (AVCaptureVideoOrientation)(deviceOrientation);
|
||||
if (deviceOrientation == UIDeviceOrientationLandscapeLeft)
|
||||
result = AVCaptureVideoOrientationLandscapeRight;
|
||||
else if (deviceOrientation == UIDeviceOrientationLandscapeRight)
|
||||
result = AVCaptureVideoOrientationLandscapeLeft;
|
||||
return result;
|
||||
}
|
||||
|
||||
- (image_data)CGImageToPixels:(CGImage *)image {
|
||||
image_data result;
|
||||
result.width = (int)CGImageGetWidth(image);
|
||||
result.height = (int)CGImageGetHeight(image);
|
||||
result.channels = 4;
|
||||
|
||||
CGColorSpaceRef color_space = CGColorSpaceCreateDeviceRGB();
|
||||
const int bytes_per_row = (result.width * result.channels);
|
||||
const int bytes_in_image = (bytes_per_row * result.height);
|
||||
result.data = std::vector<uint8_t>(bytes_in_image);
|
||||
const int bits_per_component = 8;
|
||||
|
||||
CGContextRef context =
|
||||
CGBitmapContextCreate(result.data.data(), result.width, result.height, bits_per_component, bytes_per_row,
|
||||
color_space, kCGImageAlphaPremultipliedLast | kCGBitmapByteOrder32Big);
|
||||
CGColorSpaceRelease(color_space);
|
||||
CGContextDrawImage(context, CGRectMake(0, 0, result.width, result.height), image);
|
||||
CGContextRelease(context);
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
|
||||
|
||||
- (IBAction)takePicture:(id)sender {
|
||||
[self UpdatePhoto];
|
||||
}
|
||||
|
||||
- (void)inputImageToModel:(image_data)image{
|
||||
float* out = interpreter->typed_input_tensor<float>(0);
|
||||
|
||||
const float input_mean = 127.5f;
|
||||
const float input_std = 127.5f;
|
||||
assert(image.channels >= wanted_input_channels);
|
||||
uint8_t* in = image.data.data();
|
||||
|
||||
for (int y = 0; y < wanted_input_height; ++y) {
|
||||
const int in_y = (y * image.height) / wanted_input_height;
|
||||
uint8_t* in_row = in + (in_y * image.width * image.channels);
|
||||
float* out_row = out + (y * wanted_input_width * wanted_input_channels);
|
||||
for (int x = 0; x < wanted_input_width; ++x) {
|
||||
const int in_x = (x * image.width) / wanted_input_width;
|
||||
uint8_t* in_pixel = in_row + (in_x * image.channels);
|
||||
float* out_pixel = out_row + (x * wanted_input_channels);
|
||||
for (int c = 0; c < wanted_input_channels; ++c) {
|
||||
out_pixel[c] = (in_pixel[c] - input_mean) / input_std;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
- (void)runModel {
|
||||
double startTimestamp = [[NSDate new] timeIntervalSince1970];
|
||||
if (interpreter->Invoke() != kTfLiteOk) {
|
||||
LOG(FATAL) << "Failed to invoke!";
|
||||
}
|
||||
double endTimestamp = [[NSDate new] timeIntervalSince1970];
|
||||
total_latency += (endTimestamp - startTimestamp);
|
||||
total_count += 1;
|
||||
NSLog(@"Time: %.4lf, avg: %.4lf, count: %d", endTimestamp - startTimestamp,
|
||||
total_latency / total_count, total_count);
|
||||
|
||||
const int output_size = (int)labels.size();
|
||||
const int kNumResults = 5;
|
||||
const float kThreshold = 0.1f;
|
||||
|
||||
std::vector<std::pair<float, int>> top_results;
|
||||
|
||||
float* output = interpreter->typed_output_tensor<float>(0);
|
||||
GetTopN(output, output_size, kNumResults, kThreshold, &top_results);
|
||||
|
||||
std::vector<std::pair<float, std::string>> newValues;
|
||||
for (const auto& result : top_results) {
|
||||
std::pair<float, std::string> item;
|
||||
item.first = result.first;
|
||||
item.second = labels[result.second];
|
||||
|
||||
newValues.push_back(item);
|
||||
}
|
||||
dispatch_async(dispatch_get_main_queue(), ^(void) {
|
||||
[self setPredictionValues:newValues];
|
||||
});
|
||||
}
|
||||
|
||||
- (void)dealloc {
|
||||
[self teardownAVCapture];
|
||||
}
|
||||
|
||||
- (void)didReceiveMemoryWarning {
|
||||
[super didReceiveMemoryWarning];
|
||||
}
|
||||
|
||||
- (void)viewDidLoad {
|
||||
[super viewDidLoad];
|
||||
labelLayers = [[NSMutableArray alloc] init];
|
||||
|
||||
NSString* graph_path = FilePathForResourceName(model_file_name, model_file_type);
|
||||
model = tflite::FlatBufferModel::BuildFromFile([graph_path UTF8String]);
|
||||
if (!model) {
|
||||
LOG(FATAL) << "Failed to mmap model " << graph_path;
|
||||
}
|
||||
LOG(INFO) << "Loaded model " << graph_path;
|
||||
model->error_reporter();
|
||||
LOG(INFO) << "resolved reporter";
|
||||
|
||||
tflite::ops::builtin::BuiltinOpResolver resolver;
|
||||
LoadLabels(labels_file_name, labels_file_type, &labels);
|
||||
|
||||
tflite::InterpreterBuilder(*model, resolver)(&interpreter);
|
||||
if (!interpreter) {
|
||||
LOG(FATAL) << "Failed to construct interpreter";
|
||||
}
|
||||
if (interpreter->AllocateTensors() != kTfLiteOk) {
|
||||
LOG(FATAL) << "Failed to allocate tensors!";
|
||||
}
|
||||
|
||||
[self attachPreviewLayer];
|
||||
}
|
||||
|
||||
- (void)viewDidUnload {
|
||||
[super viewDidUnload];
|
||||
}
|
||||
|
||||
- (void)viewWillAppear:(BOOL)animated {
|
||||
[super viewWillAppear:animated];
|
||||
}
|
||||
|
||||
- (void)viewDidAppear:(BOOL)animated {
|
||||
[super viewDidAppear:animated];
|
||||
}
|
||||
|
||||
- (void)viewWillDisappear:(BOOL)animated {
|
||||
[super viewWillDisappear:animated];
|
||||
}
|
||||
|
||||
- (void)viewDidDisappear:(BOOL)animated {
|
||||
[super viewDidDisappear:animated];
|
||||
}
|
||||
|
||||
- (BOOL)shouldAutorotateToInterfaceOrientation:(UIInterfaceOrientation)interfaceOrientation {
|
||||
return (interfaceOrientation == UIInterfaceOrientationPortrait);
|
||||
}
|
||||
|
||||
- (BOOL)prefersStatusBarHidden {
|
||||
return YES;
|
||||
}
|
||||
|
||||
- (void)setPredictionValues:(std::vector<std::pair<float, std::string>>)newValues {
|
||||
|
||||
const float leftMargin = 10.0f;
|
||||
const float topMargin = 10.0f;
|
||||
|
||||
const float valueWidth = 48.0f;
|
||||
const float valueHeight = 18.0f;
|
||||
|
||||
const float labelWidth = 246.0f;
|
||||
const float labelHeight = 18.0f;
|
||||
|
||||
const float labelMarginX = 5.0f;
|
||||
const float labelMarginY = 5.0f;
|
||||
|
||||
[self removeAllLabelLayers];
|
||||
|
||||
int labelCount = 0;
|
||||
for (const auto& item : newValues) {
|
||||
std::string label = item.second;
|
||||
const float value = item.first;
|
||||
const float originY = topMargin + ((labelHeight + labelMarginY) * labelCount);
|
||||
const int valuePercentage = (int)roundf(value * 100.0f);
|
||||
|
||||
const float valueOriginX = leftMargin;
|
||||
NSString* valueText = [NSString stringWithFormat:@"%d%%", valuePercentage];
|
||||
|
||||
[self addLabelLayerWithText:valueText
|
||||
originX:valueOriginX
|
||||
originY:originY
|
||||
width:valueWidth
|
||||
height:valueHeight
|
||||
alignment:kCAAlignmentRight];
|
||||
|
||||
const float labelOriginX = (leftMargin + valueWidth + labelMarginX);
|
||||
|
||||
NSString *nsLabel = [NSString stringWithCString:label.c_str()
|
||||
encoding:[NSString defaultCStringEncoding]];
|
||||
[self addLabelLayerWithText:[nsLabel capitalizedString]
|
||||
originX:labelOriginX
|
||||
originY:originY
|
||||
width:labelWidth
|
||||
height:labelHeight
|
||||
alignment:kCAAlignmentLeft];
|
||||
|
||||
labelCount += 1;
|
||||
if (labelCount > 4) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
- (void)removeAllLabelLayers {
|
||||
for (CATextLayer* layer in labelLayers) {
|
||||
[layer removeFromSuperlayer];
|
||||
}
|
||||
[labelLayers removeAllObjects];
|
||||
}
|
||||
|
||||
- (void)addLabelLayerWithText:(NSString*)text
|
||||
originX:(float)originX
|
||||
originY:(float)originY
|
||||
width:(float)width
|
||||
height:(float)height
|
||||
alignment:(NSString*)alignment {
|
||||
CFTypeRef font = (CFTypeRef) @"Menlo-Regular";
|
||||
const float fontSize = 12.0;
|
||||
const float marginSizeX = 5.0f;
|
||||
const float marginSizeY = 2.0f;
|
||||
|
||||
const CGRect backgroundBounds = CGRectMake(originX, originY, width, height);
|
||||
const CGRect textBounds = CGRectMake((originX + marginSizeX), (originY + marginSizeY),
|
||||
(width - (marginSizeX * 2)), (height - (marginSizeY * 2)));
|
||||
|
||||
CATextLayer* background = [CATextLayer layer];
|
||||
[background setBackgroundColor:[UIColor blackColor].CGColor];
|
||||
[background setOpacity:0.5f];
|
||||
[background setFrame:backgroundBounds];
|
||||
background.cornerRadius = 5.0f;
|
||||
|
||||
[[self.view layer] addSublayer:background];
|
||||
[labelLayers addObject:background];
|
||||
|
||||
CATextLayer* layer = [CATextLayer layer];
|
||||
[layer setForegroundColor:[UIColor whiteColor].CGColor];
|
||||
[layer setFrame:textBounds];
|
||||
[layer setAlignmentMode:alignment];
|
||||
[layer setWrapped:YES];
|
||||
[layer setFont:font];
|
||||
[layer setFontSize:fontSize];
|
||||
layer.contentsScale = [[UIScreen mainScreen] scale];
|
||||
[layer setString:text];
|
||||
|
||||
[[self.view layer] addSublayer:layer];
|
||||
[labelLayers addObject:layer];
|
||||
}
|
||||
|
||||
@end
|
||||
Executable
+48
@@ -0,0 +1,48 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
|
||||
<plist version="1.0">
|
||||
<dict>
|
||||
<key>CFBundleDevelopmentRegion</key>
|
||||
<string>en</string>
|
||||
<key>CFBundleDisplayName</key>
|
||||
<string>tflite_photos_example</string>
|
||||
<key>CFBundleExecutable</key>
|
||||
<string>${EXECUTABLE_NAME}</string>
|
||||
<key>CFBundleIdentifier</key>
|
||||
<string>$(PRODUCT_BUNDLE_IDENTIFIER)</string>
|
||||
<key>CFBundleInfoDictionaryVersion</key>
|
||||
<string>6.0</string>
|
||||
<key>CFBundleName</key>
|
||||
<string>${PRODUCT_NAME}</string>
|
||||
<key>CFBundlePackageType</key>
|
||||
<string>APPL</string>
|
||||
<key>CFBundleShortVersionString</key>
|
||||
<string>1.0</string>
|
||||
<key>CFBundleSignature</key>
|
||||
<string>????</string>
|
||||
<key>CFBundleVersion</key>
|
||||
<string>1.0</string>
|
||||
<key>LSRequiresIPhoneOS</key>
|
||||
<true/>
|
||||
<key>NSCameraUsageDescription</key>
|
||||
<string>Capture images to detect object</string>
|
||||
<key>NSPhotoLibraryAddUsageDescription</key>
|
||||
<string>This app requires access to the photo library.</string>
|
||||
<key>NSPhotoLibraryUsageDescription</key>
|
||||
<string>This App classifies images from your photos library.</string>
|
||||
<key>UIMainStoryboardFile</key>
|
||||
<string>MainStoryboard_iPhone</string>
|
||||
<key>UIRequiresFullScreen</key>
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||||
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||||
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||||
</dict>
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||||
</plist>
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||||
Executable
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@@ -0,0 +1,56 @@
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||||
<?xml version="1.0" encoding="UTF-8"?>
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||||
<document type="com.apple.InterfaceBuilder3.CocoaTouch.Storyboard.XIB" version="3.0" toolsVersion="13771" targetRuntime="iOS.CocoaTouch" propertyAccessControl="none" colorMatched="YES" initialViewController="2">
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||||
</document>
|
||||
Executable
+5
@@ -0,0 +1,5 @@
|
||||
platform :ios, '8.0'
|
||||
inhibit_all_warnings!
|
||||
|
||||
target 'tflite_photos_example'
|
||||
pod 'TensorFlowLite'
|
||||
Executable
+28
@@ -0,0 +1,28 @@
|
||||
// Copyright 2017 The TensorFlow Authors. All Rights Reserved.
|
||||
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
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||||
// You may obtain a copy of the License at
|
||||
//
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||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
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|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
#import <UIKit/UIKit.h>
|
||||
|
||||
#import "CameraExampleAppDelegate.h"
|
||||
|
||||
int main(int argc, char* argv[]) {
|
||||
int retVal = 0;
|
||||
|
||||
@autoreleasepool {
|
||||
retVal =
|
||||
UIApplicationMain(argc, argv, nil, NSStringFromClass([CameraExampleAppDelegate class]));
|
||||
}
|
||||
return retVal;
|
||||
}
|
||||
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@@ -0,0 +1,395 @@
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||||
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||||
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Reference in New Issue
Block a user