yolov3-tf2
simple-faster-rcnn-pytorch
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| yolov3-tf2 | simple-faster-rcnn-pytorch | |
|---|---|---|
| 3 | 1 | |
| 2,507 | 3,891 | |
| - | - | |
| 2.8 | 0.0 | |
| about 1 month ago | almost 3 years ago | |
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| MIT License | GNU General Public License v3.0 or later |
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yolov3-tf2
simple-faster-rcnn-pytorch
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ISO Easy to Modify and Use Faster RCNN PyTorch Implementation
Hi all, as the title suggests I'm looking for a GitHub repo where I can edit a Faster RCNN implementation rather easily. I'm basically looking to test an idea where I have multiple branches with feature map and bounding boxes as inputs. I've modified the built-in torchvision implementation once before, but I think it's a little more complicated than I like, and I'd rather not release the entire torchvision package as part of my own work in the future. I have looked briefly into this repo https://github.com/chenyuntc/simple-faster-rcnn-pytorch/blob/master/trainer.py but it only supports a batch size of 1, and I'm not sure what it'd take to expand that capability. Is there anything better out there?
What are some alternatives?
yolact - A simple, fully convolutional model for real-time instance segmentation.
Yet-Another-EfficientDet-Pytorch - The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
mmdetection - OpenMMLab Detection Toolbox and Benchmark
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
yolact - Tensorflow 2.x implementation YOLACT
automl - Google Brain AutoML
TACO - 🌮 Trash Annotations in Context Dataset Toolkit
OwnPhotos - Self hosted alternative to Google Photos
saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
opencv - Experimenting using Machine Vision OpenCV and Python to create software suitable for driving a Golf launch monitor similar to technology like SkyTrak, GC2 and GC Quad