FeiGeChuanShu's repositories
ncnn-android-yolox
Real time yolox Android demo by ncnn
ncnn-android-yolov8
Real time yolov8 Android demo by ncnn
ncnn_Android_face
Android face detect and segmentation,facemesh by ncnn
ncnn_paddleocr
Android paddleocr demo infer by ncnn
segment-anything-ncnn
an example of segment-anything infer by ncnn
CodeFormer-ncnn
ncnn version of CodeFormer
ncnn_Android_blazeface
This a demo of BlazeFace infer by ncnn
yolov5-seg-ncnn
c++ version of yolov5 segmentation with ncnn
ncnn_Android_matting
Android and Windows human matting demo infer by ncnn
yolov7-mask-ncnn
c++ version of yolov7-mask with ncnn
ncnn-android-depth_anything
a Android demo of depth anything
Mask2Former-ncnn
naive c++ version of Mask2Former with ncnn
ax-models
A collection of pre-compiled, state-of-the-art models in the AXera‘s format
ax-samples
Samples code for world class Artificial Intelligence SoCs for computer vision applications.
cutlass
CUDA Templates for Linear Algebra Subroutines
CV-CUDA
CV-CUDA™ is an open-source, graphics processing unit (GPU)-accelerated library for cloud-scale image processing and computer vision.
FasterTransformer
Transformer related optimization, including BERT, GPT
Lidar_AI_Solution
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
mlcc
一些有用的功能
mmyolo
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
TensorRT
NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite