SamMorgan
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yolo_v4_tflite

Object Detection

object detection

computer vision

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SamMorgan commited on Jan 23, 2022

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@@ -17,11 +17,7 @@ thumbnail: https://github.com/hunglc007/tensorflow-yolov4-tflite
 pipeline_tag: object-detection
 ---
-# TensorFlow-yolov4-tflite
-[![license](https://img.shields.io/github/license/mashape/apistatus.svg)](LICENSE)
-## Yolov4
 Yolo is an object detection system in real-time, introduced in [this paper](https://arxiv.org/abs/2004.10934), that recognizes various objects in a single enclosure. It identifies objects more rapidly and more precisely than other recognition systems. Three authors Alexey Bochkovskiy, the Russian developer who built the YOLO Windows version, Chien-Yao Wang, and Hong-Yuan Mark Liao, are accounted for in this work and the entire code is available on [Github](https://github.com/AlexeyAB/darknet).
@@ -31,7 +27,7 @@ This yolov4 library uses Tensorflow 2.0 and is available on. this [Github](https
 ### Prerequisites
 * Tensorflow 2.3.0rc0
-### What can you use yolov4-tflite for?
 ```bash
 # Convert darknet weights to tensorflow

 pipeline_tag: object-detection
 ---
+# Yolov4
 Yolo is an object detection system in real-time, introduced in [this paper](https://arxiv.org/abs/2004.10934), that recognizes various objects in a single enclosure. It identifies objects more rapidly and more precisely than other recognition systems. Three authors Alexey Bochkovskiy, the Russian developer who built the YOLO Windows version, Chien-Yao Wang, and Hong-Yuan Mark Liao, are accounted for in this work and the entire code is available on [Github](https://github.com/AlexeyAB/darknet).
 ### Prerequisites
 * Tensorflow 2.3.0rc0
+### How to use yolov4-tflite
 ```bash
 # Convert darknet weights to tensorflow