Pinned Repositories
BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
bggrad
Background/Foreground segmentation based on gradient directions
blenderset-addon
Blenderset is tool for creating synthetic training data using blender. It can be used to create random scenes consisting of a real background image, ontop of which random humans and vehicles models are rendered with random lighting. In addition to the rendered images, annotations are generated in form of pixelwise instance-segmentations and boundin
CenterNet-better
An easy to understand and better performance version of CenterNet
ComputeLibrary
The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.
cow_watchdog
ggdtrack
openvx_sample
Official Khronos OpenVX Implementation
pyvx
Implementation of OpenVX in python
vi3o
hakanardo's Repositories
hakanardo/pyvx
Implementation of OpenVX in python
hakanardo/vi3o
hakanardo/ggdtrack
hakanardo/cow_watchdog
hakanardo/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
hakanardo/bggrad
Background/Foreground segmentation based on gradient directions
hakanardo/blenderset-addon
Blenderset is tool for creating synthetic training data using blender. It can be used to create random scenes consisting of a real background image, ontop of which random humans and vehicles models are rendered with random lighting. In addition to the rendered images, annotations are generated in form of pixelwise instance-segmentations and boundin
hakanardo/CenterNet-better
An easy to understand and better performance version of CenterNet
hakanardo/ComputeLibrary
The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.
hakanardo/docker-py
A Python library for the Docker Engine API
hakanardo/hub
Dataset format for AI. Build, manage, query & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai
hakanardo/joplin
Joplin - an open source note taking and to-do application with synchronisation capabilities for Windows, macOS, Linux, Android and iOS.
hakanardo/JTA-Mods
hakanardo/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
hakanardo/mmtracking
OpenMMLab Video Perception Toolbox. It supports Single Object Tracking (SOT), Multiple Object Tracking (MOT), Video Object Detection (VID) with a unified framework.
hakanardo/NATTEN
Neighborhood Attention Extension. Bringing attention to a neighborhood near you!
hakanardo/nbdev_tutorial
Trying out nbdev
hakanardo/onnx
Open standard for machine learning interoperability
hakanardo/pal
An optimized C library for math, parallel processing and data movement
hakanardo/PETR
[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection
hakanardo/pplp
hakanardo/py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
hakanardo/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
hakanardo/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
hakanardo/pyTsai
This is a Tsai calibration method implementation in C with a python interface actualized for python 3.3 and the ability to use it in Blender (2.65 for sure)
hakanardo/ResNet
Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet
hakanardo/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
hakanardo/StreamPETR
This repository is an official implementation of PETR series
hakanardo/torchx
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
hakanardo/weights