Merwanski

import cv2
import numpy as np
import glob

video_file_name = 'project.wmv'
path_to_images  = 'path_2_video/*.bmp' 
 
cmpt = 0

for filename in glob.glob(path_to_images):

Merwanski

# YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. 
# Please read https://msg.pyyaml.org/load for full details.

import yaml

f = open(filaname_path, 'r')   
yaml.load(f, Loader=yaml.FullLoader)
f.close()

Merwanski

# You could use numpy directly, instead of cv_bridge

import numpy as np
im = np.frombuffer(image_data.data, dtype=np.uint8).reshape(image_data.height, image_data.width, -1)

pi

# Another solution  // Still not yet tested 
# Beautiful solution is to use ros_numpy (https://github.com/eric-wieser/ros_numpy). 
# It is similar to the function of cv_bridge, but without the dependency on cv2:

Merwanski

!bash

# install docker
# Step 1 — Installing Docker
# First, update your existing list of packages:
sudo apt update

# Next, install a few prerequisite packages which let apt use packages over HTTPS:
sudo apt install -y apt-transport-https ca-certificates curl software-properties-common

Merwanski

# REMOVE the containers no longer running 
docker rm $(docker ps -a -q) 

# REMOVE the images without any attached container to them
docker rmi $(docker images -q -f dangling=true)

Merwanski

# add this at the end of your entrypoint file
# to keep the container running and not exit directly
set -x
while $1
do
    echo "Press [CTRL+C] to stop.."
    sleep 5
    echo "My second and third argument is $2 & $3"
done

Merwanski

# reset last git commit
git reset --soft HEAD~1

Merwanski

# tensorflow
from tensorflow.python.client import device_lib
devices_tf = device_lib.list_local_devices()
devices_tf = print(devices)

# pytorch
import torch
devices_torch = torch.cuda.get_device_name()
print(devices_torch)

Merwanski

Create a new container from the TensorFlow image
"""
$ docker run -it --rm tensorflow/tensorflow:latest-gpu-py3
"""

You should be logged-in in the new container. You can explore it using ls, cd, etc… 
You can exit using 
$ exit.

Create a directory to exchange files between your machine and the container:

Merwanski

# TODO Add the code below to your barshrc file

# Git branch in prompt.
force_color_prompt=yes
color_prompt=yes
parse_git_branch() {
 git branch 2> /dev/null | sed -e '/^[^*]/d' -e 's/* \(.*\)/(\1)/'
}
if [ "$color_prompt" = yes ]; then
 PS1='${debian_chroot:+($debian_chroot)}\[\033[01;32m\]\u@\h\[\033[00m\]:\[\033[01;34m\]\w\[\033[01;31m\]$(parse_git_branch)\[\033[00m\]\$ '