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@@ -0,0 +1,153 @@ +Here are few steps required to get Imagenet based on OpenCV working DB845c + +######################## On Host ################################# + +Step 1: Build Hexagon NN DSP library for DB845c CDSP +------------------------------------------------------ +## First download (https://developer.qualcomm.com/downloads/hexagon-sdk-v342-linux?referrer=node/6116) +and Install Hexagon SDK 3.4.2 if you have not already done +## Compile Hexagon NN with below commands. + +$ source $HEXAGON_SDK_ROOT/setup_sdk_env.source +$ cd $HEXAGON_SDK_ROOT/libs/hexagon_nn/2.5/ +$ make tree VERBOSE=1 CDSP_FLAG=1 V=hexagon_Release_dynamic_toolv82_v65 V65=1 + +This step will generate hexagon_Release_dynamic_toolv82_v65/ship/libhexagon_nn_skel.so +which is a shared library for the CDSP. + +Step 2: Generate Testsig and sign libhexagon_nn_skel.so with it. +------------------------------------------------------ +##Get serial number from the DB845c console using below command and pass it to elfsigner.py. + +root@linaro-alip:/# cat /sys/bus/soc/devices/soc0/serial_number + +##elfsigner tool takes SoC Serial number as input to generate a testsig, you can get +##serial number by using getserial or from board sysfs entry as described in above step + +$ cd $HEXAGON_SDK_ROOT +$ python tools/elfsigner/elfsigner.py -t $SERIAL_NUMBER +$ python tools/elfsigner/elfsigner.py -i libs/hexagon_nn/2.5/hexagon_Release_dynamic_toolv82_v65/ship/libhexagon_nn_skel.so + +Step 3: Generate Inception v3 model graph for hexagon. +------------------------------------------------------ + +Option 1: Download the Tensorflow Inception v3 Frozen graph and covert to hexagon compatible c file. +======== +$ curl http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz -o /tmp/inceptionv3.tgz +$ tar xzf /tmp/inceptionv3.tgz -C /tmp/ + +## Then download and Install bazel and build tensorflow More instructions at https://docs.bazel.build/versions/master/install-ubuntu.html +## I have used Bazel 0.21.0 and TensorFlow 1.13.2 release version. + +$ wget https://github.com/bazelbuild/bazel/releases/download/0.21.0/bazel-0.21.0-installer-linux-x86_64.sh +$ wget https://github.com/tensorflow/tensorflow/archive/v1.13.2.tar.gz +$ chmod +x bazel-0.21.0-installer-linux-x86_64.sh +$ sh ./bazel-0.21.0-installer-linux-x86_64.sh --user +$ tar -zxvf v1.13.2.tar.gz +$ cd tensorflow-1.13.2 +$ ./configure + +## Build transform_graph tool in tensorflow About tranform_graph https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/graph_transforms/README.md#using-the-graph-transform-tool + +$ bazel build tensorflow/tools/graph_transforms:transform_graph + +## Quantize protobuf using Graph Transform Tool + +$ bazel-bin/tensorflow/tools/graph_transforms/transform_graph --in_graph=/tmp/classify_image_graph_def.pb --out_graph=/tmp/inception_v3_quantized.pb --inputs="Mul" --outputs='softmax' --transforms='add_default_attributes strip_unused_nodes(type=float, shape="1,299,299,3") remove_nodes(op=Identity, op=CheckNumerics) fold_constants(ignore_errors=true) fold_batch_norms fold_old_batch_norms quantize_weights quantize_nodes fold_constants strip_unused_nodes sort_by_execution_order' + +##Then convert the quantized protobuf into a C file: + +$ cd $HEXAGON_SDK_ROOT/examples/hexagon_nn/ +$ virtualenv -p python2 env2 +$ source env2/bin/activate +$ pip install -r environments/req2.txt +$ cd - +$ python $HEXAGON_SDK_ROOT/examples/hexagon_nn/scripts/tensorflow_to_hexagon_nn.py /tmp/inception_v3_quantized.pb $HEXAGON_SDK_ROOT/examples/hexagon_nn/tutorials/007-tensorflow-to-hexagon-nn/inceptionv3_v1.yaml > iv3.c +$ cp iv3.c $HEXAGON_SDK_ROOT/libs/hexagon_nn/2.5/ + +Option 2: download iv3.c file which I generated using above steps. +======== +I can share my iv3.c file incase you want to avoid installing tensor flow on your machine. +$ cp iv3.c $HEXAGON_SDK_ROOT/libs/hexagon_nn/2.5/ + +Step 4: Compile new fastrpc library +------------------------------------------------------ + +$ git clone -b automake https://git.linaro.org/landing-teams/working/qualcomm/fastrpc.git +$ cd fastrpc +$ ./autogen.sh +$ ./configure --host=aarch64-linux-gnu +$ make +$ cp src/.libs/libadsprpc.so* $HEXAGON_SDK_ROOT/libs/common/remote/ship/UbuntuARM_Debug_aarch64/ +$ cp src/.libs/libcdsprpc.so* $HEXAGON_SDK_ROOT/libs/common/remote/ship/UbuntuARM_Debug_aarch64 + +Step 5: Compile hexagon-nn shared userspace library. +------------------------------------------------------ + +## Patch Hexagon NN with patch to compile as shared library for userspace. +$ cd $HEXAGON_SDK_ROOT/libs/hexagon_nn/2.5/ +$ wget http://people.linaro.org/~srinivas.kandagatla/hexagon_nn_3.4.2_shared_lib.patch +$ patch -p1 < hexagon_nn_3.4.2_shared_lib.patch +$ make tree V=UbuntuARM_Debug_aarch64 CDSP_FLAG=1 V65=1 GRAPHINIT="iv3.c" + + +Step 6: Push files to target +------------------------------------------------------ +$ ssh linaro@DB_IP_ADDR mkdir /home/linaro/apps /home/linaro/dsp + +$ scp $HEXAGON_SDK_ROOT/output/testsig*.so linaro@DB_IP_ADDR:~/dsp/ +$ scp $HEXAGON_SDK_ROOT/output/libhexagon_nn_skel.so linaro@DB_IP_ADDR:~/dsp/ + +$ scp $HEXAGON_SDK_ROOT/libs/hexagon_nn/2.5/UbuntuARM_Debug_aarch64/ship/libhexagon_nn.so linaro@DB_IP_ADDR:~/apps/ +$ scp $FASTRPC_LIB_PATH/src/.libs/libcdsp* linaro@DB_IP_ADDR:~/apps/ +$ scp $FASTRPC_LIB_PATH/src/.libs/libadsp* linaro@DB_IP_ADDR:~/apps/ +$ scp $FASTRPC_LIB_PATH/src/.libs/*rpcd linaro@DB_IP_ADDR:~/apps/ + + +######################## on TARGET DB845c ############################### + +Step 1: Install new fastrpc lib on DB845c +------------------------------------------------------ +## For now remove any old adsprpc libraries. new releases should not need this, but for now lets do it. +$ rm /usr/local/libadsp* /usr/local/libcdsp* /usr/local/bin/cdsprpcd /usr/local/bin/adsprpcd +$ cp /home/linaro/apps/libcdsp* /usr/local/lib/ +$ cp /home/linaro/apps/libcdsp* /usr/local/lib/ +$ cp /home/linaro/apps/*rpcd /usr/local/bin + +Step 2: Copy dsp libraries to correct place and start cdsprpcd deamon +------------------------------------------------------ +$ mkdir /dsp +$ mount /dev/disk/by-partlabel/dsp_a /dsp +$ cp /home/linaro/dsp/* /dsp/cdsp/ +$ export ADSP_LIBRARY_PATH=/dsp/cdsp +$ cdsprpcd& + +Step 3: Install OpenCV on the Target +------------------------------------------------------ +##Its possible to optimize opencv by enabling neon but for now lets ignore this! + +$ git clone https://github.com/opencv/opencv.git +$ cd ~/opencv +$ mkdir build +$ cd build +$ cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local .. +$ make -j8 +$ sudo make install + +Or + +$ sudo apt-get install libopencv-dev python3-opencv + + +Step 4: Build OpenCV Imagenet application and run +------------------------------------------------------ +## To Build ## +$ git clone https://git.linaro.org/people/srinivas.kandagatla/ImagenetCv.git +$ cd ImagenetCv +$ cmake . +$ make +$ ./ImagenetCv + +Same instructions apply to images branch aswell. +This should show up a live video with Image Classifications. + |