uelordi01

create-package.sh mipsisa32r2el > log.txt
here you have to put your IP idress and the pass, usually is root.
eap-install.sh 

#how to see where is located your compiler:
find / -name "mips*"
/usr/local/mipsisa32r2el/r23/bin/

set your PKG dir from opencv: 
PKGS = gio-2.0 glib-2.0 axhttp opencv

uelordi01

gdb ./vac -in=../data/manual_manyPers1.avi -c=VAC_BASE_ALL.json -d 2>/dev/null -d
run
bt
backtrace

uelordi01

sudo docker exec -it 4007523d8a70 gosu user /bin/bash

uelordi01

# https://github.com/mystic123/tensorflow-yolo-v3
python3 mo_tf.py \
--log_level=DEBUG \
--data_type FP16 --input_shape [1,416,416,3] \
--input_model /home/VICOMTECH/uelordi/repos/tensorflow-yolo-v3/yolo_v3.pb \
--tensorflow_use_custom_operations_config /opt/intel/computer_vision_sdk/deployment_tools/model_optimizer/extensions/front/tf/yolo_v3.json

uelordi01

python3 demo.py                      \
  --weights_file yolov3.weights    \
  --class_names  coco.names      \
  --input_img image.jpg               \
  --output_img out.jpg

uelordi01

# recent stashing: 
git stash pop
# specific stash list
git stash apply stash@{1}

uelordi01

# See the most recent stash:
git stash show -p
# See an arbitrary stash:
git stash show -p stash@{1}

uelordi01

#!/bin/bash
sudo fdisk -l
dd bs=4M if=../raspbian-stretch.img of=/dev/sdb1

uelordi01

sudo dd bs=4M if=/dev/sdb of=smb://ajeto/tmp/uelordi/raspiimg/raspbian.img

uelordi01

#take the base64_decode from https://renenyffenegger.ch/notes/development/Base64/Encoding-and-decoding-base-64-with-cpp

std::string raw = base64_decode(im64);
        cv::Mat rawData( 1, raw.size(), CV_8UC1, (void*) raw.c_str());

        cv::Mat decodedImage  =  cv::imdecode( rawData, cv::IMREAD_COLOR /*, flags */ );
        cv::imshow("hola",decodedImage);