tensorflow-yolov4-tflite VS YOLOX

Compare tensorflow-yolov4-tflite vs YOLOX 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)

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/ (by Megvii-BaseDetection)
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tensorflow-yolov4-tflite YOLOX
4 12
2,214 8,944
- 1.5%
0.0 1.5
10 months ago 18 days ago
Python Python
MIT License Apache License 2.0
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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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.

YOLOX

Posts with mentions or reviews of YOLOX. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-18.

What are some alternatives?

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

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

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

Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

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

tensorrt_demos - TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

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

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.

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

RPi_64-bit_Zero-2-image - Raspberry Pi Zero 2 W 64-bit OS image with OpenCV, TensorFlow Lite and ncnn Framework.

YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.

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