730 Open source projects that are alternatives of or similar to Tensorflow Yolov4 Tflite

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOv4 object detector using TensorRT engine

Go bindings for Darknet (YOLO v4 / v3)

YoloV3 Implemented in Tensorflow 2.0

Implementation of popular deep learning networks with TensorRT network definition API

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Pendeteksian rambu lalu lintas khas Indonesia menggunakan dataset custom dan menggunakan algoritma Deep Learning You Only Look Once v4

Scaled-YOLOv4: Scaling Cross Stage Partial Network

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

You can import this module directly

php ffi darknet

Push-pull streaming and Web display of YOLO series

基于opencv的4种YOLO目标检测，C++和Python两个版本的实现，仅仅只依赖opencv库就可以运行

YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)

Yolov3 on tensorflow2.0 and tensorrt7.0

ODAM - Object detection and Monitoring

This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

🙄 Difficult algorithm, Simple code.

People detection and optional tracking with Tensorflow backend.

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

Fast MOT base on yolo+deepsort, support yolo3 and yolo4

Address book for computer vision models.

YOLOv4 Implemented in Tensorflow 2.

Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS

A Python wrapper on Darknet. Compatible with YOLO V3.

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

Sample apps to demonstrate how to deploy models trained with TAO on DeepStream

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Deploy the pruned YOLOv3/v4/v4-tiny/v4-tiny-3l model on OpenVINO embedded devices

tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version

A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok + TF2

No description or website provided.

C# Yolo Darknet Wrapper (real-time object detection)

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

Train a state-of-the-art yolov3 object detector from scratch!

A PyTorch implementation of the YOLO v3 object detection algorithm

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Multi-object trackers in Python

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

Implement YOLOv3 with TensorFlow

Keras implementation of yolo v3 object detection.

yolo(all versions) implementation in keras and tensorflow 2.4

Annotation tool for YOLO in opencv

Full implementation of YOLOv3 in PyTorch

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

This is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101