yolov3-tf2
tensorflow-yolo-v3
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| yolov3-tf2 | tensorflow-yolo-v3 | |
|---|---|---|
| 3 | 3 | |
| 2,508 | 894 | |
| - | - | |
| 2.8 | 0.0 | |
| about 2 months ago | 12 months ago | |
| Jupyter Notebook | Python | |
| MIT License | Apache License 2.0 |
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yolov3-tf2
tensorflow-yolo-v3
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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?
yolact - A simple, fully convolutional model for real-time instance segmentation.
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
yolact - Tensorflow 2.x implementation YOLACT
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
keras-yolo3 - Training and Detecting Objects with YOLO3
TACO - 🌮 Trash Annotations in Context Dataset Toolkit
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
tensorflow-lite-YOLOv3 - YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
YOLOv3 - YOLOv3 Implementation in TensorFlow 1.1X