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traffic-counter
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Traffic counter using yolo and OpenCV
10 Commits 1 Branch 0 Tags 15 MiB
JavaScript 50.2%
HTML 36.6%
CSS 9.4%
Less 1.5%
Jupyter Notebook 1%
Other 1.3%
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kicap 9273d712bb updated index2.html to display data 2024-06-10 16:48:48 +08:00
.ipynb_checkpoints change to window mode and add data to database 2024-06-10 13:47:41 +08:00
assets added flask framework with video processing 2024-03-02 08:45:00 +08:00
models first commit 2024-02-22 01:28:19 +08:00
templates updated index2.html to display data 2024-06-10 16:48:48 +08:00
.DS_Store change to window mode and add data to database 2024-06-10 13:47:41 +08:00
.gitignore change to window mode and add data to database 2024-06-10 13:47:41 +08:00
Pengujian baru.ipynb change to window mode and add data to database 2024-06-10 13:47:41 +08:00
Pengujian lama.ipynb added new process the video 2024-05-06 08:26:54 +08:00
app.py updated index2.html to display data 2024-06-10 16:48:48 +08:00
app_before.py change to window mode and add data to database 2024-06-10 13:47:41 +08:00
ini app sebelumnya.py added new process the video 2024-05-06 08:26:54 +08:00
insert.py change to window mode and add data to database 2024-06-10 13:47:41 +08:00
main.py added new process the video 2024-05-06 08:26:54 +08:00
main2.py added flask framework with video processing 2024-03-02 08:45:00 +08:00
main3.py remove the green drawer 2024-05-21 19:24:53 +08:00
readme.md first commit 2024-02-22 01:28:19 +08:00
requirements.txt update requirements.txt 2024-06-10 14:17:41 +08:00
torch first commit 2024-02-22 01:28:19 +08:00

readme.md

This is a traffic counter using yolo , opencv and python