Fall-detection(摔倒/跌倒检测)
Fall-detection(摔倒/跌倒检测)in the room
this fall-detection is based on darknet.
Examples
we first detections humans in the room, then we use some simple ways to judge whether he or she is falling down.
fall-detection algorithms
- detection human
- classify whether fall down or not(still on the way)/custom rules
Installation
Requirements
- Python and opencv,
- Linux (Windows and Mac os are not officially supported, but should work)
Installation Options:
Install on Linux
First, make sure you have install python and opencv environment(p.s. if you do not have GPU support, change the first line and second line of Makefile value from 1 to 0)
Then, install this module :
git clone https://github.com/qiaoguan/Fall-detection
cd Fall-detection
sudo make
If you are having trouble with installation, you can Issue me!
run the demo
First, download yolo.weights, the password is: bp6c. Then, install this module :
python gq.py
the speed is about 12fps using GPU
Thanks
- Many, many thanks to pjreddie for his Great work!