Pinned Repositories
FairMOT
A simple baseline for one-shot multi-object tracking
Image-Adaptive-3DLUT
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥
Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
Zero-DCE
Zero-DCE code and model
ivankk2003's Repositories
ivankk2003/FairMOT
A simple baseline for one-shot multi-object tracking
ivankk2003/Image-Adaptive-3DLUT
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
ivankk2003/MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
ivankk2003/nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥
ivankk2003/Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking
ivankk2003/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
ivankk2003/Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
ivankk2003/Zero-DCE
Zero-DCE code and model