studiouspan

China.SuZhou

Pinned Repositories

ai-edu
AI education materials for Chinese students, teachers and IT professionals.
Language:Jupyter Notebook10
DeployDemo
Awesome deploy demo for PaddlePaddle
Language:C++10
edge-tpu-tiny-yolo
Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
Language:Python10
edge_tpu
Edge TPU samples.
Language:Python10
mobile-deeplab-v3-plus
Deeplab-V3+ model with MobilenetV2/MobilenetV3 on TensorFlow for mobile deployment.
Language:Python10
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
Language:C10
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Language:C00
ImgBed
Img bed for personal use
00
opencv
Open Source Computer Vision Library
Language:C++00
prepare_detection_dataset
convert dataset to coco/voc format
Language:Python00

studiouspan/Yolo-FastestV2
:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
studiouspan/DeployDemo
Awesome deploy demo for PaddlePaddle
1
studiouspan/prepare_detection_dataset
convert dataset to coco/voc format
studiouspan/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
1
studiouspan/darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
studiouspan/edge_tpu
Edge TPU samples.
1
studiouspan/ImgBed
Img bed for personal use
studiouspan/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
1
studiouspan/edge-tpu-tiny-yolo
Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
1
studiouspan/mobile-deeplab-v3-plus
Deeplab-V3+ model with MobilenetV2/MobilenetV3 on TensorFlow for mobile deployment.
1
studiouspan/opencv
Open Source Computer Vision Library
Language:C++