odam
tensorflow-yolov4-tflite
| odam | tensorflow-yolov4-tflite | |
|---|---|---|
| 2 | 4 | |
| 31 | 2,222 | |
| - | - | |
| 0.0 | 0.0 | |
| 10 months ago | 11 months ago | |
| Go | Python | |
| Apache License 2.0 | MIT License |
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odam
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GoCV vs OpenCV Python Performance
Yeah, I tried to use GoCV in my pet project for object detection: https://github.com/LdDl/odam. It fits all my current needs (since I know how to port some python/c++ techniques for computer vision) The only thing I'm really struggling about is there is no straightforward simple way to make GPU-build it for Windows (as far as I know).
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Go Object Detection Package (YOLO V3)
I'm working on similar project (yolov4): https://github.com/LdDl/odam But, I'm using gocv.Mat -> darknet-based image (go darknet bindings) conversion.
tensorflow-yolov4-tflite
- Object tracking on Android
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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?
gocv - Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
awesome-tiny-object-detection - 🕶 A curated list of Tiny Object Detection papers and related resources.
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
tensorflow-lite-YOLOv3 - YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)
yolo-tensorrt - TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
tensorrtx - Implementation of popular deep learning networks with TensorRT network definition API
yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
tf2patcher - A patcher for TF2 that allows you to apply full-colored decals.