Docker Services

- Update docker-compose with all services
- Create Dockerfiles for each service
- Fix file paths
- Remove localization.py
- Fix typos and python 2 -> 3 conversion in read_vel_hits.py
- Remove pickle files
- Move all docker files to docker folder in root directory
This commit is contained in:
Sravan Balaji
2020-04-30 21:06:20 -04:00
parent 763c87acbd
commit cddc318ddf
14 changed files with 135 additions and 103 deletions

View File

@@ -5,18 +5,13 @@ version: '3'
# Define services
services:
# Python Development Container
python-dev:
# Use Dockerfile in current folder
build: .
# Particle filter Container
particle-filter:
# Use Dockerfile in particle-filter folder
build: ./particle-filter
# Mount folders on host to app folder in container
volumes:
- ../src/control:/app/control
- ../src/dataset:/app/dataset
- ../src/localization:/app/localization
- ../src/planning:/app/planning
- ../src/semantic:/app/semantic
- ../src/visualization:/app/visualization
- ../src/polex:/app/polex
# Set DISPLAY variable and network mode for GUIs
environment:
@@ -24,3 +19,62 @@ services:
network_mode: "host"
# Set working directory in container to app folder
working_dir: /app
# Planning Container
planning:
# Use Dockerfile in planning folder
build: ./planning
# Mount folders on host to app folder in container
volumes:
- ../src/dataset:/app/dataset
- ../src/planning:/app/planning
# Set DISPLAY variable and network mode for GUIs
environment:
- DISPLAY=${IP_ADDRESS}:0.0
network_mode: "host"
# Set working directory in container to app folder
working_dir: /app
# Semantic Container
semantic:
# Use Dockerfile in semantic folder
build: ./semantic
# Mount folders on host to app folder in container
volumes:
- ../src/semantic:/app/semantic
# Set DISPLAY variable and network mode for GUIs
environment:
- DISPLAY=${IP_ADDRESS}:0.0
network_mode: "host"
# Set working directory in container to app folder
working_dir: /app
# Visualization Container
visualization:
# Use Dockerfile in visualization folder
build: ./visualization
# Mount folders on host to app folder in container
volumes:
- ../src/dataset:/app/dataset
- ../src/visualization:/app/visualization
# Set DISPLAY variable and network mode for GUIs
environment:
- DISPLAY=${IP_ADDRESS}:0.0
network_mode: "host"
# Set working directory in container to app folder
working_dir: /app
# Velocity Control Container
velocity-control:
# Use Dockerfile in velocity-control folder
build: ./velocity-control
# Mount folders on host to app folder in container
volumes:
- ../src/control:/app/control
- ../src/dataset:/app/dataset
# Set DISPLAY variable and network mode for GUIs
environment:
- DISPLAY=${IP_ADDRESS}:0.0
network_mode: "host"
# Set working directory in container to app folder
working_dir: /app

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@@ -0,0 +1,15 @@
FROM python:3.6.9
RUN apt-get update && \
apt-get install -y \
build-essential \
python3-dev \
python3-pip
RUN pip3 install --upgrade pip && \
pip3 install \
numpy \
matplotlib \
scipy
CMD ["/bin/bash"]

View File

@@ -23,6 +23,5 @@ RUN pip install -U pip && \
keras
RUN python -m spacy download en_core_web_sm
pickle-mixin
CMD ["/bin/bash"]

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@@ -0,0 +1,16 @@
FROM python:3.6.9
RUN apt-get update && \
apt-get install -y \
build-essential \
python3-dev \
python3-pip
RUN pip3 install --upgrade pip && \
pip3 install \
numpy \
matplotlib \
scipy \
cvxpy
CMD ["/bin/bash"]

View File

@@ -0,0 +1,18 @@
FROM python:3
RUN apt-get update && \
apt-get install -y \
build-essential \
python-opencv \
libpcl-dev
RUN pip install -U pip && \
pip install -U \
cython \
numpy \
scipy \
matplotlib \
nltk \
setuptools
CMD ["/bin/bash"]

View File

@@ -1,7 +1,7 @@
from mpc_func import *
from Astar import *
poses = load_poses('pose_gt.csv')
poses = load_poses('/app/dataset/data/pose_gt.csv')
sparseness = 100
# print(poses.shape[0]/sparseness)
# plot_position(poses[1::sparseness])

View File

@@ -1,6 +1,6 @@
from mpc_func import *
poses = load_poses('pose_gt.csv')
poses = load_poses('/app/dataset/data/pose_gt.csv')
sparseness = 100
sparse_poses = poses[1::sparseness, 1:3]

View File

@@ -1,16 +0,0 @@
# localization.py
import numpy as np
import matplotlib.pyplot as plt
import csv
import os
from PoseList import PoseList
from scipy.spatial import distance
def main():
pass
if __name__ == '__main__':
main()

View File

@@ -35,7 +35,7 @@ def verify_magic(s):
def main(args):
if len(sys.argv) < 2:
print "Please specifiy input bin file"
print("Please specify input bin file")
return 1
f_bin = open(sys.argv[1], "r")
@@ -51,14 +51,14 @@ def main(args):
break
if not verify_magic(magic):
print "Could not verify magic"
print("Could not verify magic")
num_hits = struct.unpack('<I', f_bin.read(4))[0]
utime = struct.unpack('<Q', f_bin.read(8))[0]
padding = f_bin.read(4) # padding
print "Have %d hits for utime %ld" % (num_hits, utime)
print("Have %d hits for utime %ld" % (num_hits, utime))
total_hits += num_hits
if first_utime == -1:
@@ -82,7 +82,7 @@ def main(args):
f_bin.close()
print "Read %d total hits from %ld to %ld" % (total_hits, first_utime, last_utime)
print("Read %d total hits from %ld to %ld" % (total_hits, first_utime, last_utime))
return 0

View File

@@ -1,18 +1,4 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Motion_Planning_Functions",
"provenance": [],
"collapsed_sections": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "code",
@@ -60,7 +46,7 @@
" pose_gt = np.loadtxt(pose_gt_file, delimiter = \",\")\n",
" return pose_gt[1:, 1:3]\n",
"\n",
"poses = load_poses('../dataset/ground_truth/groundtruth_2012-01-08.csv')"
"poses = load_poses('../dataset/data/ground_truth/groundtruth_2012-01-08.csv')"
],
"execution_count": 0,
"outputs": []
@@ -607,5 +593,19 @@
}
]
}
]
],
"metadata": {
"colab": {
"name": "Motion_Planning_Functions",
"provenance": [],
"collapsed_sections": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"accelerator": "GPU"
},
"nbformat": 4,
"nbformat_minor": 0
}

View File

@@ -23,8 +23,7 @@ def load_poses(pose_gt_file) :
def main() :
#poses = load_poses('../dataset/ground_truth/groundtruth_2012-01-08.csv')
poses = load_poses('../dataset/ground_truth/debug.csv')
poses = load_poses('../dataset/data/ground_truth/debug.csv')
sparseness = 10
k=50

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@@ -1,26 +0,0 @@
# Docker Compose
# docker-compose.yml format version
version: '3'
# Define services
services:
# Python Development Container
python-dev:
# Use Dockerfile in current folder
build: .
# Mount folders on host to app folder in container
volumes:
- ../src/control:/app/control
- ../src/dataset:/app/dataset
- ../src/localization:/app/localization
- ../src/planning:/app/planning
- ../src/semantic:/app/semantic
- ../src/visualization:/app/visualization
- ../src/polex:/app/polex
# Set DISPLAY variable and network mode for GUIs
environment:
- DISPLAY=${IP_ADDRESS}:0.0
network_mode: "host"
# Set working directory in container to app folder
working_dir: /app

View File

@@ -1,27 +0,0 @@
# Docker Compose
# docker-compose.yml format version
version: '3'
# Define services
services:
# Python Development Container
python-dev:
# Use Dockerfile in current folder
build: .
# Mount ros-dev folder on host to app folder in container
volumes:
- ./control:/app/control
- ./dataset:/app/dataset
- ./localization:/app/localization
- ./planning:/app/planning
- ./semantic:/app/semantic
- ./visualization:/app/visualization
- /tmp/.X11-unix/:/tmp/.X11-unix
# Set DISPLAY variable and network mode for GUIs
environment:
- DISPLAY=$DISPLAY
#- DISPLAY=${IP_ADDRESS}:0.0
network_mode: "host"
# Set working directory in container to app folder
working_dir: /app