Stars
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Here's a short technical challenge for the use of Django and Django Rest Frame work
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
People, places, and things—nouns—play a crucial role in language, conveying the sentence’s subject and often its object. Due to their importance, it’s often useful when processing text to try to id…
end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies
In this project I present a concise overview of past attempts at brain-computer interface (BCI) communication with ALS patients and some of the hypotheses about why they have been unsuccessful to …
Maintaining empty parking spot count using YOLO real-time vehicle detection. Code readily runnable in google colab.
Fall Detection of Person at Night (Using IR-based CCTV Cameras)
Detecting and counting small objects - Analysis, review and application to counting
This project aims to count the retail objects present in the image. It uses OpenCV and Deep Learning models to count the images
Vehicle and Lane Detection using Hough Transforms and Sliding Window with ROI Proposals & HOG + SVM in C++ and Python
license plate recognition system will work with camera to identify the plate number of the car that tries to enter the parking lot, and also check if the car allowed/not allowed to enter by checkin…
Drone Surveillance: Pedestrian Detection + neural network compression
Uisng Deep Sort + Yolov3 model Pretrained on COCO dataset for passenger detection and counting
Generate Heatmaps from eye tracking data
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Approach to extract motion paths (trajectories) of vehicles and pedestrians from videos (Multiple object detection & tracking)
Real Time Attendace tracking with camera using python and opencv. Uploading In and Out time into database and web portal for admin and users.
Face tracking based on MTCNN, including counting face, judging and cropping frontal face from video real time
Detects abandoned objects in a video, particularly useful for identifying suspicious abandoned luggage in railway stations and bus stands.