edge-tpu-tiny-yolo
Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator. (by guichristmann)
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)
| edge-tpu-tiny-yolo | tensorflow-yolov4-tflite | |
|---|---|---|
| 1 | 4 | |
| 100 | 2,223 | |
| - | - | |
| 1.8 | 0.0 | |
| almost 4 years ago | 11 months ago | |
| Python | Python | |
| MIT 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.
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-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.
- Object tracking on Android
-
Tensorflow Yolo Implementation
Hello all, I've been desperate for help in the tensorflow yolo objection detection framework. Basically, in https://github.com/hunglc007/tensorflow-yolov4-tflite 's implementation, there is problem whereby with GPU, it only detects the first frame in the whole video while CPU works fine but absolutely slow. There are issues opened at https://github.com/hunglc007/tensorflow-yolov4-tflite/issues/282 but no proper solution is found. I've also opened a question stackoverflow: https://stackoverflow.com/questions/68333281/tensorflow-yolov4-detect-video
- “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-yolov4-tflite 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 )