Vision-based activity recognition is one of the most challenging research topics of computer vision and pattern recognition. A specific application of it, namely, detecting fights from surveillance cameras in public areas, prisons, etc., is desired, to get violent incidents under control quickly to reduce casualties.

All pretrained models can be found in this link. https://pytorch.org/vision/stable/models.html

Run the infer.py script and pass the required arguments (modelPath, streaming, inputPath, outputPath, sequenceLength, skip, showInfo)

python -m infer \
--modelPath="./FDSC/models/model_16_m3_0.8888.pth" \
--streaming=False \
--inputPath="./inputTestVideo.mp4" Or Streaming Url in case of streaming = True \
--outputPath="./outputVideo.mp4" \
--sequenceLength=16 \
--skip=2 \
--showInfo=True

Our Package can be found in this link. https://pypi.org/project/Fight-Detection/0.0.3/

1. Install:

pip install Fight-Detection==0.0.3
pip install pytube

2. Download Our Finetuned Model Weights:

import gdown
url = 'https://drive.google.com/uc?id=1MWDeLnpEaZDrKK-OjmzvYLxfjwp-GDcp'
output = 'model_16_m3_0.8888.pth'
gdown.download(url, output, quiet=False)

3. Detect Fight or Not by Pass your Local Video:

from fight_detection import Fight_utils
# Run the Below Function by Input your Test Video Path to get the outPut Video with Fight Detection or Not
Fight_utils.fightDetection(inputPath,seq,skip,outputPath,showInfo)

4. Show the Output Video with Detection:

from moviepy.editor import *
VideoFileClip(outputPath, audio=False, target_resolution=(300,None)).ipython_display()

5- Detect the Fight on Streaming:

Fight_utils.start_streaming(streamingURL)