Pinned Repositories
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
dbcollection
A collection of popular datasets for deep learning.
git-brunching
A restaurant management system designed for a SOFTENG701 assignment @ UoA
PedestrainDetection
Pedestrian Detection using Caltech and INRIA dataset with Darknet Framework.
pedestrian-detection-in-hazy-weather
pedestrian detection in hazy weather
Pedestrian_Detection_YOLOv3_in_INRIA
Pedestrian Detection based on YOLOv3(Darknet) in INRIA
pytorch-ssd
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
se701-assignment1
tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
yolox
More Than YOLO（v3, v4, v3-tiny, v4-tiny）
gracecocks's Repositories
gracecocks/darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
gracecocks/dbcollection
A collection of popular datasets for deep learning.
gracecocks/git-brunching
A restaurant management system designed for a SOFTENG701 assignment @ UoA
gracecocks/PedestrainDetection
Pedestrian Detection using Caltech and INRIA dataset with Darknet Framework.
gracecocks/pedestrian-detection-in-hazy-weather
pedestrian detection in hazy weather
gracecocks/Pedestrian_Detection_YOLOv3_in_INRIA
Pedestrian Detection based on YOLOv3(Darknet) in INRIA
gracecocks/pytorch-ssd
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
gracecocks/se701-assignment1
gracecocks/tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
gracecocks/yolox
More Than YOLO（v3, v4, v3-tiny, v4-tiny）