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#!/bin/bash
INPUT_FILE=$1
if [ -z"$INPUT_FILE" ];
then
echo"Usage: ./execute_process.sh <Input image path>"
else
echo"Input File: "
echo$INPUT_FILE
cd src/utils
python preprocess_img.py --input_image $INPUT_FILE --output_filename target.bin
mv target.bin ../../res
cd ../../
adb wait-for-device
adb push res/nasa_srmodel.tflite /data/local/tmp
adb push res/target.bin /data/local/tmp/target.bin
adb push build/SR_visionrecovery /data/local/tmp
adb shell /data/local/tmp/SR_visionrecovery
adb pull /data/local/tmp/result.bin res/result.bin
cd src/utils
python postprocess_img.py --input_data "../../res/result.bin" --output_file "recover.png"
fi
L
Lien Ching
comparison
comparison
C
Chi-Lin Hsieh
The recover image looks good
The recover image looks good
L
Lien Ching

PixelShuffle will cause the transpose input shape to 6D, which can't be compute in tensorflow lite

Try to use ConvTranspose2d to replace it

L
Lien Ching
CMAKE_MINIMUM_REQUIRED(VERSION 2.8)
PROJECT("deadline-driven_NASA2019")
SET(NDK_STANDALONE_TOOLCHAIN ../android-ndk-toolchain-arm64)
SET(CMAKE_C_COMPILER ${NDK_STANDALONE_TOOLCHAIN}/bin/aarch64-linux-android-gcc)
SET(CMAKE_CXX_COMPILER ${NDK_STANDALONE_TOOLCHAIN}/bin/aarch64-linux-android-g++)
SET(SYSROOT ${NDK_STANDALONE_TOOLCHAIN}/sysroot)
SET(CMAKE_FIND_ROOT_PATH ${NDK_STANDALONE_TOOLCHAIN})
SET(CMAKE_C_FLAGS "${LINUX_FLAGS} -D__ANDROID_LINUX__ -Wno-attributes --sysroot=${SYSROOT}")
SET(CMAKE_CXX_FLAGS"${LINUX_FLAGS} -D__ANDROID_LINUX__ -Wno-attributes --sysroot=${SYSROOT} ")
LINK_DIRECTORIES(${CMAKE_CURRENT_LIST_DIR}/libs/arm64)
SET(CMAKE_EXE_LINKER_FLAGS"${CMAKE_EXE_LINKER_FLAGS} -fPIE -pie")
SET(CMAKE_CXX_FLAGS"${CMAKE_CXX_FLAGS} -std=c++14")
set(CMAKE_CXX_FLAGS"${CMAKE_CXX_FLAGS} -ldl")
ADD_EXECUTABLE(SR_visionrecovery src/TFLiteSR.cpp)
TARGET_LINK_LIBRARIES(SR_visionrecovery -lz -llog)
TARGET_LINK_LIBRARIES(SR_visionrecovery neuralnetworks)
L
Lien Ching
Deploying on NeuroPilot, but the model still need some modification
Deploying on NeuroPilot, but the model still need some modification
L
Lien Ching
ONNX2TFLite Success!!
ONNX2TFLite Success!!
L
Lien Ching