YoloV7-ncnn-Jetson-Nano
TNN
YoloV7-ncnn-Jetson-Nano | TNN | |
---|---|---|
1 | 1 | |
30 | 4,289 | |
- | 0.6% | |
2.7 | 1.9 | |
7 months ago | 12 days ago | |
C++ | C++ | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
YoloV7-ncnn-Jetson-Nano
-
Implementation of YOLO in python or C++?
For cpu inference, we use ncnn, and this is what I’m working off of: https://github.com/Qengineering/YoloV7-ncnn-Jetson-Nano
TNN
What are some alternatives?
TensorRT-For-YOLO-Series - tensorrt for yolo series (YOLOv8, YOLOv7, YOLOv6, YOLOv5), nms plugin support
MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Stable-Diffusion-NCNN - Stable Diffusion in NCNN with c++, supported txt2img and img2img
yolo-object-detector - An implementation of the YOLO method of object detection in dlib
libfacedetection - An open source library for face detection in images. The face detection speed can reach 1000FPS.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
EAST - A tensorflow implementation of EAST text detector
Yolo_mark - GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
FastDeploy - ⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
dlstreamer - This repository is a home to Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Framework. Pipeline Framework is a streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines.