yolov3-tf2 VS tensorflow-lite-YOLOv3

Compare yolov3-tf2 vs tensorflow-lite-YOLOv3 and see what are their differences.

tensorflow-lite-YOLOv3

YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving (by peace195)
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yolov3-tf2 tensorflow-lite-YOLOv3
3 2
2,510 107
- -
2.4 0.0
20 days ago 8 months ago
Jupyter Notebook Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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yolov3-tf2

Posts with mentions or reviews of yolov3-tf2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

tensorflow-lite-YOLOv3

Posts with mentions or reviews of tensorflow-lite-YOLOv3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

What are some alternatives?

When comparing yolov3-tf2 and tensorflow-lite-YOLOv3 you can also consider the following projects:

yolact - A simple, fully convolutional model for real-time instance segmentation.

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

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

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

yolact - Tensorflow 2.x implementation YOLACT

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data

faiss-server - faiss serving :)

saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

pdf2image - A python module that wraps the pdftoppm utility to convert PDF to PIL Image object

TACO - 🌮 Trash Annotations in Context Dataset Toolkit

tflite2tensorflow - Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.