edge-tpu-tiny-yolo
Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator. (by guichristmann)
tensorflow-yolo-v3
Implementation of YOLO v3 object detector in Tensorflow (TF-Slim) (by mystic123)
| edge-tpu-tiny-yolo | tensorflow-yolo-v3 | |
|---|---|---|
| 1 | 3 | |
| 100 | 894 | |
| - | - | |
| 1.8 | 0.0 | |
| almost 4 years ago | about 1 year 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.
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.
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.
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
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.
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.
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How to use custom model for flutter app?
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
What are some alternatives?
When comparing edge-tpu-tiny-yolo and tensorflow-yolo-v3 you can also consider the following projects:
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )