Object detection • TensorFlow CUDA • KITTI 0009 • Windows • self-driving car

solution:demo-obj-detection-kitti-0009-tf-cuda-win (v1.0.0)

Portable solution description  

Install and run this solution on your platform in several simple steps. Our goal is to make it simpler to reproduce results from research papers, participate in crowd-benchmarking, and enable "live" papers.
  • What is the portable CK solution: docs
  • Automation framework: CK
  • Benchmarking pipeline (build, run, validate): program:squeezedet
  • Workflow CLI and Python API (compile, run, benchmark, validate): module:program
  • Workflow dependencies (model, dataset, framework): View
Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!

Check the prerequisites for your system  

Install manually from the command line (to be automated in the future):
You need to install VS Studio and CUDA 9.0! CK will automatically detect them.

Install cBench (docs)

Install cBench from the command line (a small Python library to manage CK solutions):
pip3 install cbench
 or 
python3 -m pip install cbench
 or
pip install cbench 
Note that you may need to add the --user flag if you install in your user space, i.e. "python3 -m pip install cbench --user"

Init this solution with the portable workflow on your machine

Run manually from your command line (cBench will attempt to automatically adapt this workflow to your system - you may need to press Enter several times to select default answers for some questions):
cb init demo-obj-detection-kitti-0009-tf-cuda-win

Start cBench (status: disconnected)

cb start

Live test of this workflow via your browser

Successfully tested configuration

Host OS: windows-64 (Windows 10)
Target OS: windows-64 (Windows 10)
Target machine: LENOVO ThinkPad T470p (20J6CTO1WW)
Target CPU: Intel(R) Core(TM) i5-7300HQ CPU @ 2.50GHz
Python version for virtual env: 3.6.8

Dependencies    

Reused CK components

These components are automatically installed by cBench from this portal:
pip install opencv-python

call ck install package --tags=dataset,object-detection,kitti-drive-0009

call ck install package --tags=tensorflow,demo,squeezedet

call ck install package --tags=model,squeezedet

call ck install package:lib-tensorflow-1.10.0-cuda

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