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traffic-counter
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Traffic counter using yolo and OpenCV
4 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 9b30890b15 added new process the video 2024-05-06 08:26:54 +08:00
.ipynb_checkpoints added new process the video 2024-05-06 08:26:54 +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 added new process the video 2024-05-06 08:26:54 +08:00
.DS_Store added new process the video 2024-05-06 08:26:54 +08:00
.gitignore added flask framework with video processing 2024-03-02 08:45:00 +08:00
Pengujian baru.ipynb added new process the video 2024-05-06 08:26:54 +08:00
Pengujian lama.ipynb added new process the video 2024-05-06 08:26:54 +08:00
app.py added new process the video 2024-05-06 08:26:54 +08:00
ini app sebelumnya.py added new process the video 2024-05-06 08:26:54 +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 added new process the video 2024-05-06 08:26:54 +08:00
readme.md first commit 2024-02-22 01:28:19 +08:00
requirements.txt add requirements.txt 2024-02-23 00:16:33 +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