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Object detection • TensorFlow CPU • KITTI 0009 • Linux • self-driving car • via cloud
solution:demo-obj-detection-kitti-0009-tf-cpu-linux-azure (v1.0.0)Portable solution description
- What is the portable CK solution: docs
- Reproduced paper: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- Reproduced SOTA results (crowd-benchmarking): crowd-benchmarking-mlperf-inference-classification-mobilenets
Auto-tuning results: (Pareto-efficient ML/SW/HW co-design)
- Reproducibility checklist: ACM/cTuning
- Automation framework: CK
- CK repository: A collection of all AI and ML workflows and packages in the CK format
- Benchmarking pipeline (build, run, validate): program:squeezedet
- Workflow CLI and Python API (compile, run, benchmark, validate): module:program
- Workflow dependencies (model, dataset, framework): View
- Benchmarking pipeline (build, run, validate): program:squeezedet
Successfully tested configuration
Host OS: linux-64 (Ubuntu 18.04.3 LTS)
Target OS: linux-64 (Ubuntu 18.04.3 LTS)
Target machine: Microsoft Corporation 7.0 (Virtual Machine)
Target CPU: Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
Target CPUs:
Python version for virtual env: 3.6.9
Target OS: linux-64 (Ubuntu 18.04.3 LTS)
Target machine: Microsoft Corporation 7.0 (Virtual Machine)
Target CPU: Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
Target CPUs:
Python version for virtual env: 3.6.9
Reused CK components
pip install opencv-python ck install package --tags=dataset,object-detection,kitti-drive-0009 ck install package --tags=tensorflow,demo,squeezedet ck install package --tags=model,squeezedet ck install package:lib-tensorflow-1.10.1-cpu