tensorflow-lite-YOLOv3
tensorflow-yolo-v3
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tensorflow-lite-YOLOv3 | tensorflow-yolo-v3 | |
---|---|---|
2 | 3 | |
107 | 895 | |
- | - | |
0.0 | 0.0 | |
7 months ago | 11 months ago | |
Python | Python | |
- | Apache License 2.0 |
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tensorflow-lite-YOLOv3
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?
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
faiss-server - faiss serving :)
keras-yolo3 - Training and Detecting Objects with YOLO3
pdf2image - A python module that wraps the pdftoppm utility to convert PDF to PIL Image object
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
tflite2tensorflow - Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
YOLOv3 - YOLOv3 Implementation in TensorFlow 1.1X