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GitHub / RedisGears / EdgeRealtimeVideoAnalytics
An example of using Redis Streams, RedisGears, RedisAI and RedisTimeSeries for Realtime Video Analytics (i.e. counting people)
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RedisGears%2FEdgeRealtimeVideoAnalytics
Stars: 387
Forks: 68
Open Issues: 55
License: apache-2.0
Language: Python
Repo Size: 49.7 MB
Dependencies:
13
Created: about 5 years ago
Updated: 20 days ago
Last pushed: 22 days ago
Last synced: 3 days ago
Commit Stats
Commits: 49
Authors: 9
Mean commits per author: 5.44
Development Distribution Score: 0.633
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/RedisGears/EdgeRealtimeVideoAnalytics
Topics: grafana, prometheus, redis, redis-stream, redis-streams, redisai, redisgears, redistimeseries, video-streams
Files
Dependencies
- Flask ==1.0.2
- Pillow ==8.3.2
- numpy ==1.16.3
- opencv-python >=4.0.1.23
- redis ==3.2.1
- Pillow ==8.3.2
- numpy ==1.16.3
- opencv-python ==4.0.1.23
- release-drafter/release-drafter v5 composite
- python 3.7.12 build
- grafana/grafana 6.1.2 build
- prom/prometheus v2.8.0 build
- redislabs/redisedge latest build