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removed gen1 people tracker (added redirection to gen2), added gif in…
… README for gen2 people tracker
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[中文文档](README.zh-CN.md) | ||
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# People tracker | ||
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This application counts how many people went upwards / downwards / leftwards / rightwards in the video stream, allowing you to | ||
receive an information about how many people went into a room or went through a corridor. | ||
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The model used in this example is [person_detection_retail_0013](https://docs.openvinotoolkit.org/latest/omz_models_intel_person_detection_retail_0013_description_person_detection_retail_0013.html) from the OpenVINO Model Zoo. | ||
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## Demo | ||
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[](https://youtu.be/8RiHkkGKdj0) | ||
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## Pre-requisites | ||
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Purchase a DepthAI model (see https://shop.luxonis.com/) | ||
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## Install project requirements | ||
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``` | ||
python3 -m pip install -r requirements.txt | ||
``` | ||
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## Run this example | ||
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``` | ||
python3 main.py | ||
``` | ||
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By default, you should see a debug window and console output that shows how many people were | ||
tracked. Also, you should see `results.json` file with timestamped results. | ||
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If you want to run it without preview, just to collect the data, you can modify `main.py` and set | ||
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```diff | ||
- debug = True | ||
+ debug = False | ||
``` | ||
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Then the app will run without preview window nor debug messages, will just save the results to `results.json` | ||
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## Credits | ||
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Adrian Rosebrock, OpenCV People Counter, PyImageSearch, https://www.pyimagesearch.com/2018/08/13/opencv-people-counter/, accessed on 6 August 2020 | ||
Moved to https://github.com/luxonis/depthai-experiments/tree/master/gen2-people-tracker |
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