intel-iot-devkit / concurrent-video-analytic-pipeline-optimization-sample-l

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

Date Created 2020-01-09 (4 years ago)

Commits 34 (last one 5 months ago)

Stargazers 51 (0 this week)

Watchers 22 (0 this week)

Forks 14

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This repository has been archived on Github

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RepositoryStats indexes 595,856 repositories, of these intel-iot-devkit/concurrent-video-analytic-pipeline-optimization-sample-l is ranked #463,222 (22nd percentile) for total stargazers, and #101,075 for total watchers. Github reports the primary language for this repository as C++, for repositories using this language it is ranked #25,655/31,836.

intel-iot-devkit/concurrent-video-analytic-pipeline-optimization-sample-l is also tagged with popular topics, for these it's ranked: deep-learning (#7,003/8512), machine-learning (#6,685/8063), computer-vision (#2,515/3130), video (#1,491/1721), object-detection (#959/1176), real-time (#484/579), inference (#246/309), edge (#203/249), pretrained-models (#182/208), edge-computing (#119/140), image-recognition (#101/119)

Other Information

intel-iot-devkit/concurrent-video-analytic-pipeline-optimization-sample-l has Github issues enabled, there are 4 open issues and 5 closed issues.

There have been 5 releases, the latest one was published on 2022-10-24 (2 years ago)

Homepage URL: https://software.intel.com/content/www/us/en/develop/topics/iot/reference-implementations/concurrent-video-analytic-pipeline-optimization.html

All Topics

edge intel video edge-ai openvino inference live-demo real-time deep-learning edge-computing computer-vision machine-learning object-detection image-recognition pretrained-models reference-implementation

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2 commits on the default branch (master) since jan '22

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updated: 2024-10-01 @ 06:59pm, id: 232691643 / R_kgDODd6Xuw