tensorflow-yolo-v3
keras-yolo3
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tensorflow-yolo-v3 | keras-yolo3 | |
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3 | 1 | |
895 | 1,604 | |
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0.0 | 0.0 | |
11 months ago | 8 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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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
keras-yolo3
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What’s Destroying My Yard? Pest Detection with Raspberry Pi
I've always been facinated by the usage of the Pi. I think of the methods used when you have a pi, versus not having one. It looks like a fun project if you have all the parts, but I don't so I thought of this alternative!
A method I thought of was just a camera that will utilize yolo3 https://github.com/experiencor/keras-yolo3 or just an always on security camera that you can just skip through the video to see all the activity with less setup, and seeing what animals cause issues. The jetson for faster 'edgey' visual ML models might be an option for those who want a stronger NPU, but using online GPU/NPU tokens and GPUs on computers if you don't need live feedback is very effective.
What are some alternatives?
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
yolov5 - YOLOv5 🚀 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
ultralytics - NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
YOLOv3 - YOLOv3 Implementation in TensorFlow 1.1X
tiny - Tiny Face Detector, CVPR 2017