rendi.eka.putra/People-Counting-in-Real-Time
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refactored threading

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Sai Subhakar T 2020-09-30 15:08:04 +02:00 committed by GitHub
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README.md
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@ -13,7 +13,7 @@ People Counting in Real-Time using live video stream/IP camera in OpenCV.
- The primary aim is to use the project as a business perspective, ready to scale.
- Use case: counting the number of people in the stores/buildings/shopping malls etc., in real-time.
- Sending an alert to the staff if the people are way over the limit.
- Automating features and optimising the real-time stream for better performance.
- Automating features and optimising the real-time stream for better performance (with threading).
- Acts as a measure towards footfall analysis and in a way to tackle COVID-19.
---
@ -75,7 +75,8 @@ The following are the added features. Note: You can easily on/off them in the co
***2. Threading:***
- Multi-Threading is implemented in 'mylib/thread.py'. If you ever see a lag/delay in your real-time stream, consider using it.
- Threaing removes OpenCV's internal buffer (which stores the frames yet to be processed) and thus reduces the lag/increases fps.
- Threading removes OpenCV's internal buffer (which basically stores the new frames yet to be processed until your system processes the old frames) and thus reduces the lag/increases fps.
- If your system is not capable of simultaneously processing and outputting the result, you might see a delay in the stream. This is where threading comes into action.
- It is most suitable for solid performance on complex real-time applications. To use threading:
``` set Thread = True in config. ```
@ -93,7 +94,7 @@ schedule.every().day.at("9:00").do(run)
***4. Timer:***
- Configure stopping the software after a certain time, e.g., 30 min or 9 hours from now.
- All you have to do is set your deired time and run the script.
- All you have to do is set your desired time and run the script.
```
if Timer: