Securade.ai

data_augmentation_yolov7

Apply data augmentation techniques on YOLO v7 format dataset.

GroundingDINO

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

key_frame_extraction_public

This repository is for key frame extraction process.

langchain-examples

Code samples from the article "The Essential Guide to LangChain for Beginners"

Open-GroundingDino

This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

pynvr

Python NVR based on OpenCV

securade.github.io

split-folders

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

streamlit-examples

Code samples from the book "The Essential Guide to Streamlit for Beginners"

yolov7face

Face detection and anonymization based on YOLOv7 models

securade/streamlit-examples

Code samples from the book "The Essential Guide to Streamlit for Beginners"

securade/langchain-examples

Code samples from the article "The Essential Guide to LangChain for Beginners"

securade/yolov7face

Face detection and anonymization based on YOLOv7 models

securade/data_augmentation_yolov7

Apply data augmentation techniques on YOLO v7 format dataset.

securade/GroundingDINO

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

securade/key_frame_extraction_public

This repository is for key frame extraction process.

securade/Open-GroundingDino

This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

securade/pynvr

Python NVR based on OpenCV

securade/securade.github.io

securade/split-folders

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

securade/yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors