tensorflow-yolov4-tflite VS yolo-tensorrt

Compare tensorflow-yolov4-tflite vs yolo-tensorrt and see what are their differences.

tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite (by hunglc007)

yolo-tensorrt

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it. (by enazoe)
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tensorflow-yolov4-tflite yolo-tensorrt
4 2
2,221 1,166
- -
0.0 1.1
11 months ago about 1 year ago
Python C++
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.

tensorflow-yolov4-tflite

Posts with mentions or reviews of tensorflow-yolov4-tflite. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

yolo-tensorrt

Posts with mentions or reviews of yolo-tensorrt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-29.
  • Using Yolov5 with ROS
    1 project | /r/ROS | 4 Mar 2022
    I don’t know whether that really solves you problem, but I can tell you how to integrate yolov5 in ros. With this repo: https://github.com/enazoe/yolo-tensorrt you can build a simple ros node around their samples cpp file. This can then subscribe and use ROS images by converting them to cv::Mat using the ros cv_bridge.
  • Real-time Object Detection on Jetson Nano
    2 projects | /r/computervision | 29 Apr 2021
    yep, i tried the tensorrt implementation (https://github.com/enazoe/yolo-tensorrt), on Jetson TX1, with FP16 prevision and it runs YOLOv4 at ~10FPS Had also tried v3 which ran a bit faster, but changed to v4 for the gains in accuracy.

What are some alternatives?

When comparing tensorflow-yolov4-tflite and yolo-tensorrt you can also consider the following projects:

darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

yolov5-deepsort-tensorrt - A c++ implementation of yolov5 and deepsort

edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.

crop - Character Recognition Of Plates using yolov5

tensorflow-lite-YOLOv3 - YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving

LibtorchTutorials - This is a code repository for pytorch c++ (or libtorch) tutorial.

Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

JetsonGPIO - A C++ library that enables the use of Jetson's GPIOs

tensorrtx - Implementation of popular deep learning networks with TensorRT network definition API

jetson-ffmpeg - ffmpeg support on jetson nano