Pinned Repositories
cocoapi
COCO API - Dataset @ http://cocodataset.org/
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
gitignore
A collection of useful .gitignore templates
hello_tf_c_api
Neural Network TensorFlow C API
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
mmdetection
OpenMMLab Detection Toolbox and Benchmark
prepare_detection_dataset
convert dataset to coco/voc format
SensorFusionNanoDegree
Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to perceive the world around a vehicle and track objects over time.
highbury2006's Repositories
highbury2006/cocoapi
COCO API - Dataset @ http://cocodataset.org/
highbury2006/darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
highbury2006/gitignore
A collection of useful .gitignore templates
highbury2006/hello_tf_c_api
Neural Network TensorFlow C API
highbury2006/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
highbury2006/mmdetection
OpenMMLab Detection Toolbox and Benchmark
highbury2006/prepare_detection_dataset
convert dataset to coco/voc format
highbury2006/SensorFusionNanoDegree
Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to perceive the world around a vehicle and track objects over time.