This project is created for age-gender estimation demo. It detects faces from an input image and draws red and blue bounding boxes around faces for woman and man, respectively. It also predicts age of the person from the face.
PythonMXNet
This project is created for training and testing Yolov3 model for multi-task face detection and facial landmarks extraction.
PythonPytorch
In this project, official LPYOLO:Low Precision YOLO for Face Detection on FPGA is implemented and pretrained weights are shared. Models are trained by Brevitas which is a PyTorch research library for quantization-aware training (QAT) and exported to Onnx. FINN which is an experimental framework from Xilinx Research Labs to explore deep neural network inference on FPGAs is used for deploying models on a PYNQ-Z2 board.
PythonPytorchFINN
This project is designed for storing and organizing Machine Learning models via Web UI. You can upload ML models, search uploaded models, download or delete multiple saved models.
PythonStreamlit
This project contains a Python script (onnx_inference.py) for extracting and comparing image features using the DINOv2 model in ONNX format. The script uses the onnxruntime library to load and run the model.
ONNXRuntimePython
This is a personal project showcasing various works and projects I have worked on. The webpage is built with HTML, CSS, and JavaScript, and is served using Nginx within a Docker container.
HTMLCSSDocker
Autodetectify is an advanced solution for comparing different Zero-Shot(ZS) object detection prompts on your uploaded images, auto-labeling images based on your specified prompt, and exporting the dataset in various formats.
