A violence detector using MobileNetV2 pretrained model and image enhancement algorithms and face detection algorithms implemented using Python, including an alert system built using telegram for alerting concerned authorities, and all data stored neatly in cloud firestore.

This project aims to reduce societal violence by detecting aggressive incidents in real-time using YOLOv8n.pt and a Roboflow dataset. It identifies violent actions (e.g., attacks) versus non-violent ones, triggering alerts for swift intervention.

• Collected raw surveillance videos from YouTube, sliced them into clips within 5s at 20 fps, and labeled each clip as Violent or Non-Violent Behavior。 • Finally we got 1600 clips and 160,000 frames as a new data set for real-world violent behavior detection under surveillance camera. To download the released dataset, please:

Explore and run machine learning code with Kaggle Notebooks | Using data from Real Life Violence Situations Dataset

This is a Vision Transformer (ViT) model fine-tuned for violence detection. The model is based on google/vit-base-patch16-224-in21k and has been trained on the Real Life Violence Situations dataset from Kaggle to classify images into violent or non-violent categories.

involves the processing of surveillance camera footage, including frame extraction, violence detection, image enhancement, and alert notification. The core model used is the MobileNetV2 classifier for violence detection, and the system employs image enhancement using the Python Imaging Library (PIL).

Python Pillow(PIL) Tutorial and Examples - Python Pillow library is used for image processing. This Pillow Tutorial contains a collection of examples for image processing techniques.

Dec 7, 2014 · I assume you are using windows, as your example image looks like window. In this case you can use: from PIL import ImageGrab pil_img = ImageGrab.grab() opencv_img = numpy.array(pil_img) then use opencv to process the image to find sub image you are looking for.

Dec 16, 2024 · I3D implemetation in Keras + video preprocessing (rgb and optical flows) to detect violence in videos with weak labels (Weakly Supervised) on XD-Violence dataset (Multi-Label, Multi-class and untrimmed videos) using Keras

May 3, 2016 · I want to Detect objects in an image by using simple python pil codes. For example Open an image and tell me how many objects are in the image but not too professional. Can someone help?