matt-sharp's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
opencv/opencv
Open Source Computer Vision Library
psf/black
The uncompromising Python code formatter
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
nborwankar/LearnDataScience
Open Content for self-directed learning in data science
WongKinYiu/ScaledYOLOv4
Scaled-YOLOv4: Scaling Cross Stage Partial Network
ZFTurbo/Weighted-Boxes-Fusion
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
DrSkippy/Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
rafaelpadilla/review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
NVIDIA/retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
ceccocats/tkDNN
Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms
linghu8812/tensorrt_inference
BMW-InnovationLab/BMW-YOLOv4-Training-Automation
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
SforAiDl/KD_Lib
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
ming71/toolbox
various cv tools, such as label tools, data augmentation, label conversion, etc.
csuhan/s2anet
Official code of the paper "Align Deep Features for Oriented Object Detection"
USC-InfoLab/rddc2020
road damage detection challenge 2020
ancasag/ensembleObjectDetection
waittim/draw-YOLO-box
Draw bounding boxes on raw images based on YOLO format annotation. Help to check the correctness of annotation and extract the images with wrong boxes.
i008/COCO-dataset-explorer
Streamlit tool to explore coco datasets
klemag/pydataLDN_2019-maintainable-code-for-data-science
ashnair1/dotadevkit
Toolkit for working with the DOTA aerial object detection dataset
baasitsharief/drawBB
A python script to draw bounding boxes on ground truth and detections for YOLO styled annotations and VOC too.
terfilip/DataAnalysisParallel-PyData
Complete code used during the Data Analysis in Parallel tutorial at PyData London 2019. It includes a notebook actually shown in the tutorial, a notebook for fitting the sentiment model, and input data
adi1999/yolo-bbox-visualizer
Generally, we can draw bounding boxes using the coordinates given as X_min, Y_min , X_max, Y_max OR X, Y ,W, H, but when these coordinates are normalizes to the scale of 0-1 ( for ex, images annotated by labelimg have the output coordinates of bboxes in this scale ), it can be a little tricky to draw bbox. So i have a little script to change the scale and to draw bbox on objects if the coordinates are on the scale 0-1 .
IBMDeveloperUK/pixiedust-spark-wml
kevaldoshi17/road-damage-detection