dr-moo
Scientist at @_SLU, who believes in turning dreams into reality! Coffee-addict and cow-adorer. Professional nerd.
dr-moo's Stars
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
voxel51/fiftyone
Refine high-quality datasets and visual AI models
OlafenwaMoses/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
activeloopai/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
mdbloice/Augmentor
Image augmentation library in Python for machine learning.
dbolya/yolact
A simple, fully convolutional model for real-time instance segmentation.
ifzhang/ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
open-mmlab/mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
tryolabs/norfair
Lightweight Python library for adding real-time multi-object tracking to any detector.
WongKinYiu/yolor
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
ViTAE-Transformer/ViTPose
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
analyticalmindsltd/smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
shamangary/FSA-Net
[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
hughw19/NOCS_CVPR2019
[CVPR2019 Oral] Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation on Python3, Tensorflow, and Keras
DrCoffey/DeepSqueak
DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research
pmj110119/YOLOX_deepsort_tracker
using yolox+deepsort for object-tracking
AdaptiveMotorControlLab/AmadeusGPT
We turn natural language descriptions of behaviors into machine-executable code
diovisgood/agender
Real-time estimation of gender and age
LiteFarmOrg/LiteFarm
The world’s first community-led, not-for-profit, digital platform joining farmers and scientists together for participatory assessment of social, environmental and economic outputs of farming systems.
snsharma1311/object-size
Measure size of an object (height and width) using a reference object
soumyaiitkgp/Custom_MaskRCNN
Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
otenim/Xception-with-Your-Own-Dataset
Easy-to-use scripts for training and inferencing with Xception on your own dataset
ryanloney/dog-pose-estimation
🐕 Fun experiment to train a pose estimation model for dogs using the DeepLabCut toolkit
DenisRang/Combined-CNN-RNN-for-emotion-recognition
Predict valence and arousal from video data. Separate training of CNN and RNN. Feed RNN with simple feature vectors extracted from frames. Feature extraction is done by a simple CNN model.
radualexandrub/Age-Gender-Classification-on-RaspberryPi4-with-TFLite-PyQt5
Age and Gender classification in real-time, using Convolutional Neural Networks (with MobileNet v1 network using a converted .tflite model), on Raspberry Pi 4. The app is wrapped in PyQt5 interface.
abhinav2301/Object_Detection-Empty-Shelf-Issue
Object Detection Module