tensorflow-yolo-v3 vs edge-tpu-tiny-yolo

tensorflow-yolo-v3

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim) (by mystic123)

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edge-tpu-tiny-yolo

Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator. (by guichristmann)

Deep Learning Yolov3 yolov3-tiny edge-tpu usb-accelerator object-detection

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tensorflow-yolo-v3		edge-tpu-tiny-yolo
	Project
3	Mentions	1
895	Stars	100
-	Growth	-
0.0	Activity	1.8
11 months ago	Latest Commit	almost 4 years ago
Python	Language	Python
Apache License 2.0	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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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-yolo-v3

Posts with mentions or reviews of tensorflow-yolo-v3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

How to use custom model for flutter app?
1 project | /r/flutterhelp | 27 Oct 2022

I used yolov4 and trained model on my classes, then saved weights in file.weights. Now, I want to integrate that model into my flutter app. On firebase, there is an option to use a custom model but that requires uploading .tflite file. My question is how can I convert my trained model weights and upload them as .tflite so could be used in my app. I have tried following this https://github.com/mystic123/tensorflow-yolo-v3 but not success. I would appreciate your help in the conversion of .weights to .tflite or suggest of there is any other way round
“ValueError: cannot reshape array of size 278540 into shape (256,128,3,3)” Conversion YOLOv3 .weights to .pb
5 projects | /r/computervision | 27 May 2021

6 projects | /r/tensorflow | 27 May 2021

edge-tpu-tiny-yolo

Posts with mentions or reviews of edge-tpu-tiny-yolo. We have used some of these posts to build our list of alternatives and similar projects.

Deploying deep learning models on Raspberry Pi 4 B
1 project | /r/raspberry_pi | 19 Feb 2021

The accelerator requires a tensorflow model. Here is someone's example to maybe get you going. Looks like some of the ops in the net aren't supported on the TPU, so you have to replace them with alternatives.

What are some alternatives?

When comparing tensorflow-yolo-v3 and edge-tpu-tiny-yolo 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

keras-yolo3 - Training and Detecting Objects with YOLO3

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

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x

yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite

pycoral - Python API for ML inferencing and transfer-learning on Coral devices

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

yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

YOLOv3 - YOLOv3 Implementation in TensorFlow 1.1X

xview-yolov3 - xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.