human-detection
tensorflow-yolo-v3
| human-detection | tensorflow-yolo-v3 | |
|---|---|---|
| 1 | 3 | |
| 34 | 894 | |
| - | - | |
| 4.4 | 0.0 | |
| 6 months ago | 12 months ago | |
| Python | Python | |
| - | Apache License 2.0 |
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human-detection
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?
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
keras-yolo3 - Training and Detecting Objects with YOLO3
EDSR_Tensorflow - TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
Traffic-Signal-Violation-Detection-System - A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
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