https://github.com/JoHeinrich/amos-ss16-proj5/blob/master/info/BillOfMaterial.md

Move the docu/howto from gdrive to the wiki:
https://github.com/JoHeinrich/amos-ss16-proj5/wiki

As OpenCV is not integrated in docker yet, the Travis-CI build fails.

TODOs:

1. Create an new branch from the main line
2. Remove ce39a94 0f2fb47 86f2b7d from he main line
3. Wait for issue #10 to be fixed
4. Reintegrate the humandetection to the main line: merge new created branch from 1. into main branch

should be high-resolution (300dpi)

Add mathematical functions for the scenario analysation classes:

Distance (center to center)
(Bounding box) Intersect
Contains (one box contains the other)

Acceptance Criteria: compressed images can be read out from protobuf

It is possible to obtain protobuf files from a given hdf5 file

The image from protobuf should be displayed with OpenCV

if the human is completely in the car detection box -> no scenario is detected

Acceptance criteria: Send and receive protobuf

Status: in progress

Please add para description

Master is not building on travis because of some CAF-Framework issues
https://travis-ci.org/JoHeinrich/amos-ss16-proj5/builds/141864440

In a new branch: restructure the repo, create new subdirectories according to the architecture plan.
Merge the restructuring branch back to the main branch.

Your project has copied the Rubinius project's .travis.yml and is sending your Travis results into our Gitter channel. We don't appreciate this. The Travis CI website has documentation for setting up your project's own .travis.yml.

include

• Travic-CI build status
• Headings
• Short summary of the project
• What libraries are needed + their license

It is possible to read the attribute "Channel Description" of the image table in the hdf5 file. This attribute contains the proto desciption file as a string.

As the project was restructured the new run commands need to be added to the readme

Create an example class that takes the compressed example byte stream from Continental document and decompress it.

The structure in Stream Decoder has to be updated, e.g. the class msg_camera_image_reader is no longer needed and a new class has to be added to encapsulate the payload buffer of an image.

Copy all the compiled artifacts into our docker container upon the travis CI build

• Create an image that shows the project's intention and the goal
• It should be like the given image: include two cars, one bus, and humans

Implement a class, which stores the detected elements with their positions.

Goal: It is possible to build OpenCV programs

Acceptance criteria: finish documentation on GDrive and demo example

Status: Not started

Remove uint16_t port = 0, std::string host = "" and create functions

void AnalyseVideo(std::string videofile, uint16_t port, std::string host)
and
void AnalyseVideo(std::string videofile)

to handle github issues (priority, etc)

Starting the program without paramas should also tell what the program does
Add the description to main.cpp
https://github.com/JoHeinrich/amos-ss16-proj5/blob/master/src/main.cpp

Implement an abstract scenario class and humaninfront of bus class.

Implement an analyser, which takes framedetection data and detects the scenario.